<?xml version="1.0" encoding="UTF-8"?>
<!DOCTYPE article PUBLIC "-//NLM//DTD Journal Publishing DTD v2.0 20040830//EN" "http://dtd.nlm.nih.gov/publishing/2.0/journalpublishing.dtd">
<article xmlns:xlink="http://www.w3.org/1999/xlink" article-type="research-article" dtd-version="2.0">
  <front>
    <journal-meta>
      <journal-id journal-id-type="publisher-id">JFR</journal-id>
      <journal-id journal-id-type="nlm-ta">JMIR Form Res</journal-id>
      <journal-title>JMIR Formative Research</journal-title>
      <issn pub-type="epub">2561-326X</issn>
      <publisher>
        <publisher-name>JMIR Publications</publisher-name>
        <publisher-loc>Toronto, Canada</publisher-loc>
      </publisher>
    </journal-meta>
    <article-meta>
      <article-id pub-id-type="publisher-id">v5i8e24393</article-id>
      <article-id pub-id-type="pmid">34133313</article-id>
      <article-id pub-id-type="doi">10.2196/24393</article-id>
      <article-categories>
        <subj-group subj-group-type="heading">
          <subject>Original Paper</subject>
        </subj-group>
        <subj-group subj-group-type="article-type">
          <subject>Original Paper</subject>
        </subj-group>
      </article-categories>
      <title-group>
        <article-title>Development of a Mobile App to Support Self-management of Anxiety and Depression in African American Women: Usability Study</article-title>
      </title-group>
      <contrib-group>
        <contrib contrib-type="editor">
          <name>
            <surname>Eysenbach</surname>
            <given-names>Gunther</given-names>
          </name>
        </contrib>
      </contrib-group>
      <contrib-group>
        <contrib contrib-type="reviewer">
          <name>
            <surname>He</surname>
            <given-names>Xianying</given-names>
          </name>
        </contrib>
        <contrib contrib-type="reviewer">
          <name>
            <surname>Mo</surname>
            <given-names>Phoenix Kit-han</given-names>
          </name>
        </contrib>
        <contrib contrib-type="reviewer">
          <name>
            <surname>op den Buijs</surname>
            <given-names>Jorn</given-names>
          </name>
        </contrib>
      </contrib-group>
      <contrib-group>
        <contrib id="contrib1" contrib-type="author" corresp="yes">
          <name name-style="western">
            <surname>McCall</surname>
            <given-names>Terika</given-names>
          </name>
          <degrees>MBA, MPH, PhD</degrees>
          <xref rid="aff1" ref-type="aff">1</xref>
          <address>
            <institution>Center for Medical Informatics</institution>
            <institution>Yale School of Medicine</institution>
            <addr-line>300 George Street</addr-line>
            <addr-line>Suite 501</addr-line>
            <addr-line>New Haven, CT, 06511</addr-line>
            <country>United States</country>
            <phone>1 203 737 5379</phone>
            <email>terika.mccall@yale.edu</email>
          </address>
          <xref rid="aff2" ref-type="aff">2</xref>
          <xref rid="aff3" ref-type="aff">3</xref>
          <ext-link ext-link-type="orcid">https://orcid.org/0000-0002-8143-5393</ext-link>
        </contrib>
        <contrib id="contrib2" contrib-type="author">
          <name name-style="western">
            <surname>Ali</surname>
            <given-names>Muhammad Osama</given-names>
          </name>
          <degrees>MPS</degrees>
          <xref rid="aff3" ref-type="aff">3</xref>
          <ext-link ext-link-type="orcid">https://orcid.org/0000-0002-2139-6425</ext-link>
        </contrib>
        <contrib id="contrib3" contrib-type="author">
          <name name-style="western">
            <surname>Yu</surname>
            <given-names>Fei</given-names>
          </name>
          <degrees>MPS, PhD</degrees>
          <xref rid="aff3" ref-type="aff">3</xref>
          <xref rid="aff4" ref-type="aff">4</xref>
          <xref rid="aff5" ref-type="aff">5</xref>
          <ext-link ext-link-type="orcid">https://orcid.org/0000-0003-1079-1590</ext-link>
        </contrib>
        <contrib id="contrib4" contrib-type="author">
          <name name-style="western">
            <surname>Fontelo</surname>
            <given-names>Paul</given-names>
          </name>
          <degrees>MPH, MD</degrees>
          <xref rid="aff6" ref-type="aff">6</xref>
          <ext-link ext-link-type="orcid">https://orcid.org/0000-0003-3186-3215</ext-link>
        </contrib>
        <contrib id="contrib5" contrib-type="author">
          <name name-style="western">
            <surname>Khairat</surname>
            <given-names>Saif</given-names>
          </name>
          <degrees>MPH, PhD</degrees>
          <xref rid="aff3" ref-type="aff">3</xref>
          <xref rid="aff7" ref-type="aff">7</xref>
          <xref rid="aff8" ref-type="aff">8</xref>
          <ext-link ext-link-type="orcid">https://orcid.org/0000-0002-8992-2946</ext-link>
        </contrib>
      </contrib-group>
      <aff id="aff1">
        <label>1</label>
        <institution>Center for Medical Informatics</institution>
        <institution>Yale School of Medicine</institution>
        <addr-line>New Haven, CT</addr-line>
        <country>United States</country>
      </aff>
      <aff id="aff2">
        <label>2</label>
        <institution>Division of Health Informatics</institution>
        <institution>Department of Biostatistics</institution>
        <institution>Yale School of Public Health</institution>
        <addr-line>New Haven, CT</addr-line>
        <country>United States</country>
      </aff>
      <aff id="aff3">
        <label>3</label>
        <institution>Carolina Health Informatics Program</institution>
        <institution>University of North Carolina at Chapel Hill</institution>
        <addr-line>Chapel Hill, NC</addr-line>
        <country>United States</country>
      </aff>
      <aff id="aff4">
        <label>4</label>
        <institution>School of Information &#38; Library Science</institution>
        <institution>University of North Carolina at Chapel Hill</institution>
        <addr-line>Chapel Hill, NC</addr-line>
        <country>United States</country>
      </aff>
      <aff id="aff5">
        <label>5</label>
        <institution>Health Sciences Library</institution>
        <institution>University of North Carolina at Chapel Hill</institution>
        <addr-line>Chapel Hill, NC</addr-line>
        <country>United States</country>
      </aff>
      <aff id="aff6">
        <label>6</label>
        <institution>National Library of Medicine</institution>
        <addr-line>Bethesda, MD</addr-line>
        <country>United States</country>
      </aff>
      <aff id="aff7">
        <label>7</label>
        <institution>School of Nursing</institution>
        <institution>University of North Carolina at Chapel Hill</institution>
        <addr-line>Chapel Hill, NC</addr-line>
        <country>United States</country>
      </aff>
      <aff id="aff8">
        <label>8</label>
        <institution>Cecil G. Sheps Center for Health Services Research</institution>
        <institution>University of North Carolina at Chapel Hill</institution>
        <addr-line>Chapel Hill, NC</addr-line>
        <country>United States</country>
      </aff>
      <author-notes>
        <corresp>Corresponding Author: Terika McCall <email>terika.mccall@yale.edu</email></corresp>
      </author-notes>
      <pub-date pub-type="collection">
        <month>8</month>
        <year>2021</year>
      </pub-date>
      <pub-date pub-type="epub">
        <day>17</day>
        <month>8</month>
        <year>2021</year>
      </pub-date>
      <volume>5</volume>
      <issue>8</issue>
      <elocation-id>e24393</elocation-id>
      <history>
        <date date-type="received">
          <day>21</day>
          <month>9</month>
          <year>2020</year>
        </date>
        <date date-type="rev-request">
          <day>7</day>
          <month>11</month>
          <year>2020</year>
        </date>
        <date date-type="rev-recd">
          <day>28</day>
          <month>2</month>
          <year>2021</year>
        </date>
        <date date-type="accepted">
          <day>15</day>
          <month>6</month>
          <year>2021</year>
        </date>
      </history>
      <copyright-statement>©Terika McCall, Muhammad Osama Ali, Fei Yu, Paul Fontelo, Saif Khairat. Originally published in JMIR Formative Research (https://formative.jmir.org), 17.08.2021.</copyright-statement>
      <copyright-year>2021</copyright-year>
      <license license-type="open-access" xlink:href="https://creativecommons.org/licenses/by/4.0/">
        <p>This is an open-access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work, first published in JMIR Formative Research, is properly cited. The complete bibliographic information, a link to the original publication on https://formative.jmir.org, as well as this copyright and license information must be included.</p>
      </license>
      <self-uri xlink:href="https://formative.jmir.org/2021/8/e24393" xlink:type="simple"/>
      <abstract>
        <sec sec-type="background">
          <title>Background</title>
          <p>Anxiety and depressive disorders are the most common mental health conditions among African American women. Despite the need for mental health care, African American women significantly underuse mental health services. Previous mobile health studies revealed significant improvements in anxiety or depressive symptoms after intervention. The use of mobile apps offers the potential to eliminate or mitigate barriers for African American women who are seeking access to mental health services and resources.</p>
        </sec>
        <sec sec-type="objective">
          <title>Objective</title>
          <p>This study aims to evaluate the usability of the prototype of an app that is designed for supporting the self-management of anxiety and depression in African American women.</p>
        </sec>
        <sec sec-type="methods">
          <title>Methods</title>
          <p>Individual usability testing sessions were conducted with 15 participants in Chapel Hill, North Carolina. Cognitive walkthrough and think-aloud protocols were used to evaluate the user interface. Eye-tracking glasses were used to record participants’ visual focus and gaze path as they performed the tasks. The Questionnaire for User Interface Satisfaction was administered after each session to assess the participants’ acceptance of the app.</p>
        </sec>
        <sec sec-type="results">
          <title>Results</title>
          <p>Participants rated the usability of the prototype positively and provided recommendations for improvement. The average of the mean scores for usability assessments (ie, overall reactions to the software, screen, terminology and app information, learning, and app capabilities) ranged from 7.2 to 8.8 on a scale of 0-9 (low to high rating) for user tasks. Most participants were able to complete each task with limited or no assistance. Design recommendations included improving the user interface by adding graphics and color, adding a tutorial for first-time users, curating a list of Black women therapists within the app, adding details about tracking anxiety and depression in the checkup graphs, informing users that they can use the talk-to-text feature for journal entries to reduce burden, relabeling the mental health information icon, monitoring for crisis support, and improving clickthrough sequencing.</p>
        </sec>
        <sec sec-type="conclusions">
          <title>Conclusions</title>
          <p>This study provides a better understanding of user experience with an app tailored to support the management of anxiety and depression for African American women, which is an underserved group. As African American women have high rates of smartphone ownership, there is a great opportunity to use mobile technology to provide access to needed mental health services and resources. Future work will include incorporating feedback from usability testing and focus group sessions to refine and develop the app further. The updated app will undergo iterative usability testing before launching the pilot study to evaluate the feasibility and acceptability of the prototype.</p>
        </sec>
      </abstract>
      <kwd-group>
        <kwd>African Americans</kwd>
        <kwd>women</kwd>
        <kwd>mental health</kwd>
        <kwd>anxiety</kwd>
        <kwd>depression</kwd>
        <kwd>telemedicine</kwd>
        <kwd>mHealth</kwd>
        <kwd>mobile applications</kwd>
        <kwd>digital health</kwd>
        <kwd>user-centered design</kwd>
        <kwd>mobile phone</kwd>
      </kwd-group>
    </article-meta>
  </front>
  <body>
    <sec sec-type="introduction">
      <title>Introduction</title>
      <sec>
        <title>Background</title>
        <p>Approximately 1 in 4 African American women in the United States has experienced mental illness [<xref ref-type="bibr" rid="ref1">1</xref>]. Furthermore, anxiety and depressive disorders are the most common mental health conditions among African American women [<xref ref-type="bibr" rid="ref2">2</xref>]. However, African American women significantly underuse mental health services compared to their White counterparts (12.8% vs 28.7%, respectively) [<xref ref-type="bibr" rid="ref1">1</xref>]. Historically, mental illness has been underreported in the African American community [<xref ref-type="bibr" rid="ref3">3</xref>,<xref ref-type="bibr" rid="ref4">4</xref>]; therefore, the true burden may be significantly higher than the reported prevalence estimates.</p>
        <p>Data from the 2019 <italic>National Survey on Drug Use and Health</italic> [<xref ref-type="bibr" rid="ref1">1</xref>] showed that approximately 30% of non-Hispanic Black women who reported experiencing mental illness in the past year did not receive mental health treatment during that time. Barriers such as the stigma of mental illness, limited access to treatment, lack of or inadequate health insurance, mistrust of providers, and limited health literacy (LHL) all prevent traditionally marginalized populations from seeking care [<xref ref-type="bibr" rid="ref5">5</xref>-<xref ref-type="bibr" rid="ref7">7</xref>]. A recent survey of 395 African American women [<xref ref-type="bibr" rid="ref8">8</xref>] revealed that the most common reasons for not seeking mental health treatment or counseling when needed were attributed to cost, not knowing where to go to access services, lack of time, and stigma. The use of mobile apps may help to eliminate or mitigate barriers by providing information on affordable options for mental health care, facilitating connections with preferred therapists, eliminating travel time using remote services, and reducing potential stigma by providing a discreet way to receive care in a preferred setting (eg, in the privacy of their home).</p>
        <p>Numerous interventions have successfully used apps to help participants in reducing their anxiety or depressive symptoms [<xref ref-type="bibr" rid="ref9">9</xref>-<xref ref-type="bibr" rid="ref12">12</xref>]. Two meta-analyses of randomized controlled trials exploring the use of smartphone mental health interventions to reduce anxiety or depressive symptoms [<xref ref-type="bibr" rid="ref13">13</xref>,<xref ref-type="bibr" rid="ref14">14</xref>] revealed that participants experienced a significant reduction in anxiety or depressive symptoms postintervention. However, the majority of published studies were conducted with a predominantly White sample, which may affect the generalizability of the results to other racial and ethnic groups. Furthermore, a study by Sarkar et al [<xref ref-type="bibr" rid="ref15">15</xref>], which investigated the usability of commercially available apps for depression, found that, “while patients express interest in using technologies for self-management, current tools are not consistently usable for diverse patients.” The results of a recent systematic review [<xref ref-type="bibr" rid="ref16">16</xref>] found only 3 studies focused on culturally informed telehealth interventions for managing anxiety and depression in African American adults [<xref ref-type="bibr" rid="ref17">17</xref>-<xref ref-type="bibr" rid="ref19">19</xref>] and only 2 included women [<xref ref-type="bibr" rid="ref17">17</xref>,<xref ref-type="bibr" rid="ref18">18</xref>]. Moreover, findings from focus group interviews revealed that African American women desired a culturally informed mental health app that can address their specific needs and preferences (eg, information to find a Black woman therapist) [<xref ref-type="bibr" rid="ref8">8</xref>]. Previous studies have shown that African American women are comfortable with participating in mobile health (mHealth) research and interventions [<xref ref-type="bibr" rid="ref20">20</xref>,<xref ref-type="bibr" rid="ref21">21</xref>], and 80% of African American women own smartphones [<xref ref-type="bibr" rid="ref22">22</xref>]. On average, they spend 19 hours per week on smartphone apps [<xref ref-type="bibr" rid="ref22">22</xref>]. Therefore, there is a great opportunity to use apps to increase access to culturally informed resources and services for supporting the management of anxiety and depression in African American women, which is a significantly underserved population.</p>
        <p>Recent years have witnessed a growing awareness of the effectiveness of using apps for psychological interventions. This interest includes studies on both the mental health benefits and usability of apps [<xref ref-type="bibr" rid="ref23">23</xref>]; however, scientific evidence does not support the effectiveness of most mental health apps in the market [<xref ref-type="bibr" rid="ref24">24</xref>]. Furthermore, many apps do not incorporate any evidence-based practices or clinical expertise regarding their usability [<xref ref-type="bibr" rid="ref25">25</xref>]. An analysis of the user reviews for mental health apps taken from the App Store and Google Play revealed that the major issues with the apps were bugs and a poor user interface design [<xref ref-type="bibr" rid="ref26">26</xref>]. Poor usability of mental health apps contributes to low engagement [<xref ref-type="bibr" rid="ref26">26</xref>,<xref ref-type="bibr" rid="ref27">27</xref>]. </p>
      </sec>
      <sec>
        <title>Objective</title>
        <p>The purpose of this study is to evaluate the usability of a prototype for an app designed for supporting the self-management of anxiety and depression in African American women. Specifically, participants evaluated the user interface on how well it helped them to complete basic tasks (eg, finding information about therapists). The findings will guide the further development of the app.</p>
      </sec>
    </sec>
    <sec sec-type="methods">
      <title>Methods</title>
      <sec>
        <title>Prototype Development</title>
        <p>The efficacious components of apps for anxiety and depression have been widely cited in the literature. Previous studies have highlighted the need for educational, psychotherapy, self-tracking, and personal development components in a mental health app that is designed to help users manage anxiety or depression [<xref ref-type="bibr" rid="ref24">24</xref>,<xref ref-type="bibr" rid="ref28">28</xref>-<xref ref-type="bibr" rid="ref31">31</xref>]. Users who engaged in self-tracking and goal-setting experienced reduced depressive symptoms [<xref ref-type="bibr" rid="ref30">30</xref>]. Furthermore, apps that offer guidance, such as personalized feedback and supportive messages, have been shown to have a positive effect on mental health outcomes [<xref ref-type="bibr" rid="ref13">13</xref>,<xref ref-type="bibr" rid="ref32">32</xref>].</p>
        <p>The mental health app evaluated in this study was developed by a multidisciplinary team at the University of North Carolina (UNC) at Chapel Hill with expertise in counseling psychology, user experience and user interface design, mobile app development, and health informatics. The initial prototype, a native app for Android devices, included basic features informed by a review of the literature and a survey of mental health and wellness apps available in the App Store and Google Play. The primary features (<xref ref-type="boxed-text" rid="box1">Textbox 1</xref>) included a guided thought journal, information about anxiety and depression (including facts about the prevalence of anxiety and depression among African American women), self-assessments for depression (using questions from the Patient Health Questionnaire 9-item scale [<xref ref-type="bibr" rid="ref33">33</xref>]) and anxiety (using questions from the Generalized Anxiety Disorder 7-item scale [<xref ref-type="bibr" rid="ref34">34</xref>]), mood rating, graphs to track trends in depression and anxiety severity and mood rating history, culturally informed resources (eg, links to the Therapy for Black Girls therapist directory and podcast), and a self-care planner. <xref rid="figure1" ref-type="fig">Figure 1</xref> shows a screenshot of the app’s home screen.</p>
        <boxed-text id="box1" position="float">
          <title>Description of primary app features.</title>
          <p>
            <bold>Journal</bold>
          </p>
          <list list-type="bullet">
            <list-item>
              <p>A guided thought journal that allows the user to record their thoughts and feelings, and if applicable, prompts them to think about future actions and displays a supportive message.</p>
            </list-item>
          </list>
          <p>
            <bold>Info</bold>
          </p>
          <list list-type="bullet">
            <list-item>
              <p>Provides information about anxiety and depression (including facts about the prevalence of anxiety and depression among African American women). The user is also presented with information about symptoms, causes, treatments, and tips for managing anxiety or overcoming depression.</p>
            </list-item>
          </list>
          <p>
            <bold>Checkup</bold>
          </p>
          <list list-type="bullet">
            <list-item>
              <p>Allows the user to complete self-assessments to screen for the presence and severity of depression using questions from the Patient Health Questionnaire 9-item scale, and anxiety using questions from the Generalized Anxiety Disorder 7-item scale.</p>
            </list-item>
          </list>
          <p>
            <bold>Mood</bold>
          </p>
          <list list-type="bullet">
            <list-item>
              <p>Displays a Likert scale of images (emoticons) for users to rate how they feel.</p>
            </list-item>
          </list>
          <p>
            <bold>Graphs</bold>
          </p>
          <list list-type="bullet">
            <list-item>
              <p>Allows the user to track trends in their anxiety and depression severity, and mood rating history.</p>
            </list-item>
          </list>
          <p>
            <bold>Resources</bold>
          </p>
          <list list-type="bullet">
            <list-item>
              <p>Presents a library of culturally informed resources that links users to mental health information, therapists’ directories (eg, Therapy for Black Girls), mental health and wellness podcasts (eg, Balanced Black Girl), financial assistance, and suicide crisis information.</p>
            </list-item>
          </list>
          <p>
            <bold>Self-care planner</bold>
          </p>
          <list list-type="bullet">
            <list-item>
              <p>Allows the user to create a self-care plan and checks in with the user after the chosen end date to see if the activities were completed.</p>
            </list-item>
          </list>
        </boxed-text>
        <fig id="figure1" position="float">
          <label>Figure 1</label>
          <caption>
            <p>Screenshot of the app home screen.</p>
          </caption>
          <graphic xlink:href="formative_v5i8e24393_fig1.png" alt-version="no" mimetype="image" position="float" xlink:type="simple"/>
        </fig>
      </sec>
      <sec>
        <title>Recruitment</title>
        <p>The usability study was exempted from a full review by the UNC at Chapel Hill’s institutional review board. Prior research showed that 5 participants could reveal about 85% of the problems in a formative usability study [<xref ref-type="bibr" rid="ref35">35</xref>,<xref ref-type="bibr" rid="ref36">36</xref>]. In addition, findings from a notable study by Virzi [<xref ref-type="bibr" rid="ref37">37</xref>] showed that 80% of usability problems were detected in 4 or 5 participants. A total of 15 participants were recruited to test the usability of the app. Participants were recruited via posts on social media (eg, Facebook and Twitter), a recruitment listing on Research for Me @UNC, and flyers posted in the Durham and Chapel Hill communities inviting women (18 years or older) who identified as Black or African American or multiracial (ie, Black or African American and another race) and had a history of anxiety or depression to participate in the study. However, study participation did not require a clinical diagnosis of an anxiety or depressive disorder. Each participant received a US $25 gift card for their completion of the study.</p>
      </sec>
      <sec>
        <title>Procedures</title>
        <p>In February and March 2020, individual usability testing sessions were held for each participant at the UNC at Chapel Hill School of Nursing’s Biobehavioral Lab. Before the start of usability testing, a researcher went through consent forms with participants and obtained their signatures. In addition, participants were informed that the study would last approximately 1 hour.</p>
        <p>First, the participants received a brief overview of the study aims and a description of the Tobii eye-tracking glasses and software (Tobii Pro AB) [<xref ref-type="bibr" rid="ref38">38</xref>]. The Tobii Pro 2 glasses were calibrated for each participant before beginning the usability testing. Participants were provided with an Android mobile phone (ie, Google Pixel 2), and were assigned a persona (ie, a fictional character created to represent a target user) and scenario (ie, a fictitious story about a target user and their motivation for using the app; <xref ref-type="supplementary-material" rid="app1">Multimedia Appendix 1</xref>). Then, they were asked to perform a series of 4 tasks in the app and think aloud as they completed them. To reduce participants’ workload while testing most of the app’s features, the study sample was split and participants were assigned either scenario 1 or scenario 2 (<xref ref-type="boxed-text" rid="box2">Textbox 2</xref>). The instructions for each task included fictitious information for the participants to enter so that they could complete the task. No personal information was solicited or involved during the interaction between the participants and the app.</p>
        <boxed-text id="box2" position="float">
          <title>List of tasks for scenarios (differences between the scenarios have been italicized).</title>
          <p>
            <bold>Scenario 1 tasks</bold>
          </p>
          <list list-type="bullet">
            <list-item>
              <p>Find out your levels of <italic>anxiety</italic> for the past 6 weeks.</p>
            </list-item>
            <list-item>
              <p>Find information on how to <italic>manage anxiety.</italic></p>
            </list-item>
            <list-item>
              <p>
                <italic>Add a new entry to your journal.</italic>
              </p>
            </list-item>
            <list-item>
              <p>Locate a therapist to schedule an appointment.</p>
            </list-item>
          </list>
          <p>
            <bold>Scenario 2 tasks</bold>
          </p>
          <list list-type="bullet">
            <list-item>
              <p>Find out your levels of <italic>depression</italic> for the past 6 weeks.</p>
            </list-item>
            <list-item>
              <p>Find information on how to <italic>overcome depression.</italic></p>
            </list-item>
            <list-item>
              <p>Create a <italic>self-care</italic> plan.</p>
            </list-item>
            <list-item>
              <p>Locate a therapist to schedule an appointment.</p>
            </list-item>
          </list>
        </boxed-text>
        <p>The cognitive walkthrough method [<xref ref-type="bibr" rid="ref39">39</xref>] was used to evaluate the user interface design on how well it supported users in learning to complete tasks. Specifically, this method was used to “evaluate the ease with which users can perform a task with little or no formal instruction or informal coaching” [<xref ref-type="bibr" rid="ref39">39</xref>]. Participants were told to speak aloud their thoughts and actions so that they could be recorded using the Tobii software. The researcher read a persona, scenario, and the first task to the participant and then instructed them to begin. This process was repeated for tasks 2-4. The Tobii software recorded the videos of participants’ interactions with the app while they completed the tasks, including taps on the phone screen, eye movements, and the amount of time spent on each task.</p>
      </sec>
      <sec>
        <title>Measures</title>
        <p>The usability of the app was measured by participants’ ability to complete tasks efficiently (measured by time and number of taps to complete each task) and their satisfaction with the user interface (measured by scores in each domain of the Questionnaire for User Interface Satisfaction [QUIS]; [<xref ref-type="bibr" rid="ref40">40</xref>]).</p>
        <sec>
          <title>Benchmarks for Cognitive Walkthrough Tasks</title>
          <p>Benchmarks comprising a list of actions that should be performed to complete each task efficiently were created by the research team. Each task was divided into steps that should be taken to complete the actions along the <italic>happy path</italic> (ie, the most efficient sequence of steps to produce the desired outcome). The benchmarks were used to evaluate the participants’ actions while completing the tasks (<xref ref-type="supplementary-material" rid="app2">Multimedia Appendix 2</xref>).</p>
        </sec>
        <sec>
          <title>The Questionnaire for User Interface Satisfaction</title>
          <p>After the usability testing was completed, each participant was given a hardcopy of an adapted version of the QUIS [<xref ref-type="bibr" rid="ref40">40</xref>] for further assessment. In the QUIS, the words <italic>system</italic> and <italic>computer</italic> were replaced with <italic>app</italic> in sections of the instrument. The QUIS “measures the user’s subjective rating of the human-computer interface” [<xref ref-type="bibr" rid="ref40">40</xref>]. The five domains of the QUIS covered (1) overall reaction to the software (eg, How easy was the app to use? How stimulating was the app?), (2) screen (eg, How easy was it to read the characters on the screen? How clear was the organization of information on the screen?), (3) terminology and app information (eg, How consistent was the use of terms throughout the app? How clear were the messages on the screen that prompted input from the user?), (4) learning (eg, How easy was it to explore new features through trial and error? How often could tasks be performed in a straightforward manner?), and (5) app capabilities (eg, How fast was the app? How easy was it to correct your mistakes?). Response options for each question were displayed on a Likert scale ranging from low to high (scores of 0-9). All 27 questions were weighted equally and collapsed into 5 mean scores, one for each domain and for each individual participant. The minimum and maximum mean scores, average of means, and SDs were calculated for each domain. Participants were informed to select <italic>N/A</italic> (not applicable) for the survey items that were not applicable. The QUIS also included 2 qualitative questions that asked participants to list the most positive and negative aspects of the app.</p>
        </sec>
      </sec>
      <sec>
        <title>Statistical Analysis</title>
        <sec>
          <title>Quantitative Data Analysis</title>
          <p>Descriptive statistics were calculated as means, SDs, and ranges for continuous variables (eg, age) and as frequencies and percentages for categorical variables (eg, education level) for sample characteristics. To measure efficiency, the mean, SD, and range were calculated for the time required to complete each task and the number of taps needed to complete each task. To measure user interface satisfaction, the means, SDs, and ranges for scores in each QUIS domain were calculated. Statistical analyses were conducted using SPSS (version 26, IBM Corp) [<xref ref-type="bibr" rid="ref41">41</xref>].</p>
        </sec>
        <sec>
          <title>Qualitative Data Analysis</title>
          <p>The results of the cognitive walkthrough sessions were summarized qualitatively. The Tobii eye-tracking software produced heat maps that revealed the focus of the participants’ visual attention on the screens. Furthermore, the most positive and negative aspects of the app reported on the QUIS were summarized. Specifically, common issues with the app prototype that were identified were discussed, and positive aspects were highlighted.</p>
        </sec>
      </sec>
    </sec>
    <sec sec-type="results">
      <title>Results</title>
      <sec>
        <title>Participants</title>
        <p>A total of 15 participants tested the usability of the app using the cognitive walkthrough and think-aloud methods. Participants were in the age range of 20-66 years (mean age 29.8 years, SD 12.4 years), and all identified as either Black or African American or multiracial (ie, Black or African American and another race) and female. Most participants (13/15, 87%) obtained a bachelor’s degree or higher and indicated that they used mobile apps 4 or more times per day (14/15, 93%). <xref ref-type="table" rid="table1">Table 1</xref> summarizes the characteristics of the study participants.</p>
        <table-wrap position="float" id="table1">
          <label>Table 1</label>
          <caption>
            <p>Characteristics of study participants (N=15).</p>
          </caption>
          <table width="1000" cellpadding="5" cellspacing="0" border="1" rules="groups" frame="hsides">
            <col width="30"/>
            <col width="660"/>
            <col width="0"/>
            <col width="310"/>
            <thead>
              <tr valign="top">
                <td colspan="3">Variables</td>
                <td>Values</td>
              </tr>
            </thead>
            <tbody>
              <tr valign="top">
                <td colspan="3">Age (years), mean (SD)</td>
                <td>29.8 (12.4)</td>
              </tr>
              <tr valign="top">
                <td colspan="4">
                  <bold>Education, n (%)</bold>
                </td>
              </tr>
              <tr valign="top">
                <td>
                  <break/>
                </td>
                <td>Less than a bachelor’s degree</td>
                <td colspan="2">2 (13)</td>
              </tr>
              <tr valign="top">
                <td>
                  <break/>
                </td>
                <td>Bachelor’s degree or higher</td>
                <td colspan="2">13 (87)</td>
              </tr>
              <tr valign="top">
                <td colspan="4">
                  <bold>Mobile app use, n (%)</bold>
                </td>
              </tr>
              <tr valign="top">
                <td>
                  <break/>
                </td>
                <td>1-3 times per day</td>
                <td colspan="2">1 (7)</td>
              </tr>
              <tr valign="top">
                <td>
                  <break/>
                </td>
                <td>4 or more times per day</td>
                <td colspan="2"> 14 (93)</td>
              </tr>
            </tbody>
          </table>
        </table-wrap>
      </sec>
      <sec>
        <title>Cognitive Walkthrough</title>
        <sec>
          <title>Scenario 1 Tasks</title>
          <p>After the persona and scenario were read to the participants (n=8), they were instructed to think aloud as they completed each of the 4 tasks for scenario 1. <xref ref-type="table" rid="table2">Table 2</xref> provides a summary of the results for the cognitive walkthrough for scenario 1 tasks. Tasks included finding the recorded levels of anxiety for the past 6 weeks, finding information on how to manage anxiety, adding a new entry in the guided thought journal, and locating a therapist to schedule an appointment.</p>
          <table-wrap position="float" id="table2">
            <label>Table 2</label>
            <caption>
              <p>Summary of results for the cognitive walkthrough for scenario 1 tasks (n=8).</p>
            </caption>
            <table width="1000" cellpadding="5" cellspacing="0" border="1" rules="groups" frame="hsides">
              <col width="250"/>
              <col width="140"/>
              <col width="160"/>
              <col width="70"/>
              <col width="0"/>
              <col width="270"/>
              <col width="110"/>
              <thead>
                <tr valign="top">
                  <td>Task</td>
                  <td>Completed, n (%)</td>
                  <td colspan="3">Benchmark</td>
                  <td colspan="2">Participant outcomes</td>
                </tr>
                <tr valign="top">
                  <td>
                    <break/>
                  </td>
                  <td>
                    <break/>
                  </td>
                  <td>Time</td>
                  <td>Taps, n</td>
                  <td colspan="2">Time, range</td>
                  <td>Taps, range</td>
                </tr>
              </thead>
              <tbody>
                <tr valign="top">
                  <td>Find out your levels of anxiety for the past 6 weeks</td>
                  <td>8 (100)</td>
                  <td>13 seconds</td>
                  <td>3</td>
                  <td colspan="2">20 seconds to 1 minute 41 seconds</td>
                  <td>3-6</td>
                </tr>
                <tr valign="top">
                  <td>Find information on how to manage anxiety</td>
                  <td>8 (100)</td>
                  <td>25 seconds</td>
                  <td>6</td>
                  <td colspan="2">48 seconds to 4 minutes 24 seconds</td>
                  <td>6-37</td>
                </tr>
                <tr valign="top">
                  <td>Add a new entry to your journal</td>
                  <td>5 (63)</td>
                  <td>3 minutes 10 seconds</td>
                  <td>15</td>
                  <td colspan="2">2 minutes 48 seconds to 6 minutes 10 seconds</td>
                  <td>17-19</td>
                </tr>
                <tr valign="top">
                  <td>Locate a therapist to schedule an appointment</td>
                  <td>8 (100)</td>
                  <td>56 seconds</td>
                  <td>8</td>
                  <td colspan="2">1 minute 42 seconds to 3 minutes 21 seconds</td>
                  <td>10-35</td>
                </tr>
              </tbody>
            </table>
          </table-wrap>
          <p>Most participants were able to complete each task fully with limited or no assistance. On average, participants took longer to complete the tasks than the benchmark times. Adding a new entry to the journal proved to be the most cumbersome task as it required participants to be thoughtful when they entered text and selected their feelings from a list. Two participants had difficulty with locating the information on how to manage anxiety, searching in the resources section of the app instead of information. To locate a therapist, participants were required to tap a button that was linked to a website with a directory of primarily Black women therapists. Although all participants were able to complete the task of locating a therapist, many reported that the interface of the website was not mobile friendly and required a lot of scrolling to find out if the therapist was accepting new clients. The actions completed, number of taps, and the amount of time spent on each task were recorded for each participant in <xref ref-type="supplementary-material" rid="app3">Multimedia Appendix 3</xref>.</p>
        </sec>
        <sec>
          <title>Scenario 2 Tasks</title>
          <p>Following the protocol, the persona and scenario were read to the participants (n=7). Next, they were instructed to think aloud as they completed each of the 4 tasks. <xref ref-type="table" rid="table3">Table 3</xref> provides a summary of the results for the cognitive walkthrough for scenario 2 tasks. Tasks included finding the recorded levels of depression for the past 6 weeks, finding information on how to overcome depression, creating a plan for self-care, and locating a therapist to schedule an appointment.</p>
          <table-wrap position="float" id="table3">
            <label>Table 3</label>
            <caption>
              <p>Summary of results for the cognitive walkthrough for scenario 2 tasks (n=7).</p>
            </caption>
            <table width="1000" cellpadding="5" cellspacing="0" border="1" rules="groups" frame="hsides">
              <col width="250"/>
              <col width="140"/>
              <col width="160"/>
              <col width="70"/>
              <col width="0"/>
              <col width="270"/>
              <col width="110"/>
              <thead>
                <tr valign="top">
                  <td>Task</td>
                  <td>Completed, n (%)</td>
                  <td colspan="3">Benchmark</td>
                  <td colspan="2">Participant outcomes</td>
                </tr>
                <tr valign="top">
                  <td>
                    <break/>
                  </td>
                  <td>
                    <break/>
                  </td>
                  <td>Time</td>
                  <td>Taps, n</td>
                  <td colspan="2">Time, range</td>
                  <td>Taps, range</td>
                </tr>
              </thead>
              <tbody>
                <tr valign="top">
                  <td>Find out your levels of depression for the past 6 weeks</td>
                  <td>7 (100)</td>
                  <td>14 seconds</td>
                  <td>3</td>
                  <td colspan="2">27 seconds to 48 seconds</td>
                  <td>3-6</td>
                </tr>
                <tr valign="top">
                  <td>Find information on how to overcome depression</td>
                  <td>7 (100)</td>
                  <td>20 seconds</td>
                  <td>6</td>
                  <td colspan="2">28 seconds to 2 minutes 14 seconds</td>
                  <td>6-14</td>
                </tr>
                <tr valign="top">
                  <td>Create a self-care plan</td>
                  <td>7 (100)</td>
                  <td>1 minute 17 seconds</td>
                  <td>15</td>
                  <td colspan="2">1 minute 17 seconds to 2 minutes 47 seconds</td>
                  <td>16-23</td>
                </tr>
                <tr valign="top">
                  <td>Locate a therapist to schedule an appointment</td>
                  <td>7 (100)</td>
                  <td>49 seconds</td>
                  <td>8</td>
                  <td colspan="2">1 minute 7 seconds to 2 minutes 9 seconds</td>
                  <td>9-13</td>
                </tr>
              </tbody>
            </table>
          </table-wrap>
          <p>All participants were able to determine their depression levels for the past 6 weeks and reported the most recent level of depression recorded in the graph. One participant had difficulty with locating the information on how to overcome depression and searched in the resources section of the app instead of the information feature. The participants liked the ability to track their self-care. The time to complete a self-care plan varied according to the typing speed of the participants. The actions completed, number of taps, and the amount of time spent on each task were recorded for each participant in <xref ref-type="supplementary-material" rid="app4">Multimedia Appendix 4</xref>.</p>
        </sec>
      </sec>
      <sec>
        <title>QUIS Scores</title>
        <sec>
          <title>Scenario 1 Tasks</title>
          <p>The average of mean scores for each domain ranged from 7.2 to 8.3 on a scale of 0-9 (low to high rating; <xref ref-type="table" rid="table4">Table 4</xref>). The average of mean scores for the overall reaction to the software was 7.2 (SD 1.1), that for screen was 7.3 (SD 1.3), that for terminology and app information was 7.6 (SD 1.3), that for learning was 8.0 (SD 1.3), and that for app capabilities was 8.3 (SD 0.9). <xref rid="figure2" ref-type="fig">Figure 2</xref> displays a boxplot of the mean scores for the 5 domains of the QUIS for scenario 1 tasks. There was 1 outlier (participant #6) with a score of 5.0 for the learning domain and 6.2 for app capabilities.</p>
          <table-wrap position="float" id="table4">
            <label>Table 4</label>
            <caption>
              <p>Summary of mean scores for the 5 domains of the Questionnaire for User Interface Satisfaction for scenario 1 tasks (n=8).</p>
            </caption>
            <table width="1000" cellpadding="5" cellspacing="0" border="1" rules="groups" frame="hsides">
              <col width="500"/>
              <col width="240"/>
              <col width="260"/>
              <thead>
                <tr valign="top">
                  <td>Domain</td>
                  <td>Mean scores, range</td>
                  <td>Average of mean scores, mean (SD)</td>
                </tr>
              </thead>
              <tbody>
                <tr valign="top">
                  <td>Overall reaction to the software</td>
                  <td>5.8-9.0</td>
                  <td>7.2 (1.1)</td>
                </tr>
                <tr valign="top">
                  <td>Screen</td>
                  <td>6.0-9.0</td>
                  <td>7.3 (1.3)</td>
                </tr>
                <tr valign="top">
                  <td>Terminology and app information</td>
                  <td>5.8-9.0</td>
                  <td>7.6 (1.3)</td>
                </tr>
                <tr valign="top">
                  <td>Learning</td>
                  <td>5.0-9.0</td>
                  <td>8.0 (1.3)</td>
                </tr>
                <tr valign="top">
                  <td>App capabilities</td>
                  <td>6.2-9.0</td>
                  <td>8.3 (0.9)</td>
                </tr>
              </tbody>
            </table>
          </table-wrap>
          <fig id="figure2" position="float">
            <label>Figure 2</label>
            <caption>
              <p>Boxplots for the 5 domains of the Questionnaire for User Interface Satisfaction for scenario 1 tasks. P6: participant #6.</p>
            </caption>
            <graphic xlink:href="formative_v5i8e24393_fig2.png" alt-version="no" mimetype="image" position="float" xlink:type="simple"/>
          </fig>
        </sec>
        <sec>
          <title>Scenario 2 Tasks</title>
          <p>The average of mean scores for each domain ranged from 7.5 to 8.8 on a scale of 0-9 (low to high rating; <xref ref-type="table" rid="table5">Table 5</xref>). The average of mean scores for the overall reaction to the software was 7.5 (SD 1.0), that for screen was 8.0 (SD 1.0), that for terminology and app information was 8.4 (SD 0.8), that for learning was 8.2 (SD 0.5), and that for app capabilities was 8.8 (SD 0.3). <xref rid="figure3" ref-type="fig">Figure 3</xref> displays a boxplot of the mean scores for the 5 domains of the QUIS for scenario 2 tasks.</p>
          <table-wrap position="float" id="table5">
            <label>Table 5</label>
            <caption>
              <p>Summary of mean scores for the 5 domains of the Questionnaire for User Interface Satisfaction for scenario 2 tasks (n=7).</p>
            </caption>
            <table width="1000" cellpadding="5" cellspacing="0" border="1" rules="groups" frame="hsides">
              <col width="500"/>
              <col width="240"/>
              <col width="260"/>
              <thead>
                <tr valign="top">
                  <td>Domain</td>
                  <td>Mean score, range</td>
                  <td>Average of mean scores, mean (SD)</td>
                </tr>
              </thead>
              <tbody>
                <tr valign="top">
                  <td>Overall reaction to the software</td>
                  <td>6.0-8.7</td>
                  <td>7.5 (1.0)</td>
                </tr>
                <tr valign="top">
                  <td>Screen</td>
                  <td>6.3-9.0</td>
                  <td>8.0 (1.0)</td>
                </tr>
                <tr valign="top">
                  <td>Terminology and app information</td>
                  <td>7.0-9.0</td>
                  <td>8.4 (0.8)</td>
                </tr>
                <tr valign="top">
                  <td>Learning</td>
                  <td>7.6-9.0</td>
                  <td>8.2 (0.5)</td>
                </tr>
                <tr valign="top">
                  <td>App capabilities</td>
                  <td>8.3-9.0</td>
                  <td>8.8 (0.3)</td>
                </tr>
              </tbody>
            </table>
          </table-wrap>
          <fig id="figure3" position="float">
            <label>Figure 3</label>
            <caption>
              <p>Boxplots for the 5 domains of the Questionnaire for User Interface Satisfaction for scenario 2 tasks.</p>
            </caption>
            <graphic xlink:href="formative_v5i8e24393_fig3.png" alt-version="no" mimetype="image" position="float" xlink:type="simple"/>
          </fig>
        </sec>
      </sec>
      <sec>
        <title>Qualitative Results</title>
        <p><xref ref-type="table" rid="table6">Table 6</xref> shows the participants’ feedback on the app design. Overall, participants felt that the app was easy to use, organized well, and had fast processing speed. General recommendations for improvement included adding more graphics and color, including instructions for data entry textboxes, a tutorial for first-time users, and crisis support monitoring. Regarding content, participants thought the information provided was of high quality, they also liked that links were provided to helpful outside resources (including a link to Black women therapists with their availability), and that graphs and text provided information to track their anxiety and depression severity. Participants recommended that a curated list of Black women therapists should be provided within the app to avoid linking externally to websites that are not mobile friendly (eg, required too much scrolling).</p>
        <table-wrap position="float" id="table6">
          <label>Table 6</label>
          <caption>
            <p>Feedback on app design.</p>
          </caption>
          <table width="1000" cellpadding="5" cellspacing="0" border="1" rules="groups" frame="hsides">
            <col width="230"/>
            <col width="390"/>
            <col width="380"/>
            <thead>
              <tr valign="top">
                <td>Themes</td>
                <td>Positive feedback</td>
                <td>Recommendations</td>
              </tr>
            </thead>
            <tbody>
              <tr valign="top">
                <td>Overall reactions to the app</td>
                <td>
                  <list list-type="bullet">
                    <list-item>
                      <p>Easy to use</p>
                    </list-item>
                    <list-item>
                      <p>Organized well</p>
                    </list-item>
                    <list-item>
                      <p>Fast processing speed</p>
                    </list-item>
                    <list-item>
                      <p>Every screen had a header</p>
                    </list-item>
                    <list-item>
                      <p>App saves information entered and indicates the completion of task</p>
                    </list-item>
                    <list-item>
                      <p>Nice logo</p>
                    </list-item>
                  </list>
                </td>
                <td>
                  <list list-type="bullet">
                    <list-item>
                      <p>Improve user interface by adding more graphics and color</p>
                    </list-item>
                    <list-item>
                      <p>Add instructions under start and end date fields to explain what to enter in the textboxes</p>
                    </list-item>
                    <list-item>
                      <p>Add a tutorial for first-time use</p>
                    </list-item>
                    <list-item>
                      <p>Monitor for crisis support</p>
                    </list-item>
                  </list>
                </td>
              </tr>
              <tr valign="top">
                <td>Content</td>
                <td>
                  <list list-type="bullet">
                    <list-item>
                      <p>Quality of information</p>
                    </list-item>
                    <list-item>
                      <p>Linked to helpful outside resources</p>
                    </list-item>
                    <list-item>
                      <p>List of Black women therapists with their availability</p>
                    </list-item>
                    <list-item>
                      <p>Graphs and text provide information to track anxiety and depression</p>
                    </list-item>
                    <list-item>
                      <p>Tips to help manage anxiety</p>
                    </list-item>
                  </list>
                </td>
                <td>
                  <list list-type="bullet">
                    <list-item>
                      <p>Curate a list of Black women therapists in the app to avoid linking externally to websites that are not mobile friendly</p>
                    </list-item>
                  </list>
                </td>
              </tr>
              <tr valign="top">
                <td>Features</td>
                <td>
                  <list list-type="bullet">
                    <list-item>
                      <p>Tracking anxiety and depression</p>
                    </list-item>
                    <list-item>
                      <p>Self-care planning</p>
                    </list-item>
                    <list-item>
                      <p>Guided thought journal</p>
                    </list-item>
                  </list>
                </td>
                <td>
                  <list list-type="bullet">
                    <list-item>
                      <p>Add footnotes to anxiety and depression history graphs that it can be used to track trends</p>
                    </list-item>
                    <list-item>
                      <p>Informing users that they can use the talk-to-text feature for journal entries to reduce burden</p>
                    </list-item>
                  </list>
                </td>
              </tr>
              <tr valign="top">
                <td>Navigation and error prevention</td>
                <td>
                  <list list-type="bullet">
                    <list-item>
                      <p>Icons were helpful for guidance on navigating the app</p>
                    </list-item>
                    <list-item>
                      <p>Drop-down menu clearly lists all features</p>
                    </list-item>
                    <list-item>
                      <p>Great prompts in the guided thought journal</p>
                    </list-item>
                    <list-item>
                      <p>System uses highlighting to indicate the selection made</p>
                    </list-item>
                    <list-item>
                      <p>System alerts when there is a mistake or missing information</p>
                    </list-item>
                  </list>
                </td>
                <td>
                  <list list-type="bullet">
                    <list-item>
                      <p>Relabel information icon to make clear it contains mental health information</p>
                    </list-item>
                    <list-item>
                      <p>Improve clickthrough sequencing</p>
                    </list-item>
                  </list>
                </td>
              </tr>
            </tbody>
          </table>
        </table-wrap>
        <p>Anxiety and depression checkups, self-care planner, and guided thought journal features were rated positively. Recommendations for improvement included adding a footnote to anxiety and depression history graphs to indicate that it can be used to track trends and adding instructions to the journal feature for informing users that they can use the talk-to-text feature for journal entries to reduce burden. Regarding navigation and error prevention, participants thought that the icons were helpful for guidance on navigating the app and liked that the drop-down menu clearly lists all features. They also noted the great prompts in the guided thought journal. Participants recommended that the information feature be relabeled to elucidate that it contains mental health information and that clickthrough sequencing be improved.</p>
      </sec>
      <sec>
        <title>Heat Maps</title>
        <p>The eye-tracking software showed that participants primarily focused on the left and middle areas of the screen while looking for information. The heat map for the managing anxiety tips screen (<xref rid="figure4" ref-type="fig">Figure 4</xref>) revealed that participants spent the most time viewing the title, left side, and middle of the screen (the areas of highest intensity). Similarly, <xref rid="figure5" ref-type="fig">Figure 5</xref> shows that on the heat map of the journal entry summary screen, the titles, left side of the screen, and <italic>Save</italic> button were the areas where participants focused on most (the areas of highest intensity).</p>
        <fig id="figure4" position="float">
          <label>Figure 4</label>
          <caption>
            <p>Heat map of the managing anxiety tips screen showing areas that participants focused on most.</p>
          </caption>
          <graphic xlink:href="formative_v5i8e24393_fig4.png" alt-version="no" mimetype="image" position="float" xlink:type="simple"/>
        </fig>
        <fig id="figure5" position="float">
          <label>Figure 5</label>
          <caption>
            <p>Heat map of the journal entry summary screen showing areas that participants focused on most.</p>
          </caption>
          <graphic xlink:href="formative_v5i8e24393_fig5.png" alt-version="no" mimetype="image" position="float" xlink:type="simple"/>
        </fig>
      </sec>
    </sec>
    <sec sec-type="discussion">
      <title>Discussion</title>
      <sec>
        <title>Principal Findings</title>
        <p>To our knowledge, this is one of the first mobile apps specifically designed to support the self-management of anxiety and depression in African American women, irrespective of physical health conditions or special circumstances. This is an important distinction because there are studies that focus on culturally informed mental health interventions for Black women; however, the participants had a particular physical health condition (eg, HIV positive) [<xref ref-type="bibr" rid="ref18">18</xref>] or special circumstances (eg, caregivers of patients with dementia) [<xref ref-type="bibr" rid="ref17">17</xref>]. Our results demonstrate that the participants were mostly satisfied with the user interface of the app prototype. Moreover, the average of means scores for the overall reaction to the software, screen, terminology, app information, learning, and app capabilities were high. They ranged from 7.2 to 8.3 on a scale of 0-9 (low to high rating) for scenario 1 tasks (<xref ref-type="table" rid="table4">Table 4</xref>), and 7.5 to 8.8 for scenario 2 tasks (<xref ref-type="table" rid="table5">Table 5</xref>). Most participants were able to complete each task fully with limited or no assistance. However, the variance in time to complete each task was primarily attributed to the amount of time it took for participants to talk through their thoughts and actions, differences in typing speed, or using an alternative method to search (eg, using a link from the hamburger menu instead of tapping the feature icon).</p>
        <p>Furthermore, a few participants were unsure if they needed to first record their anxiety levels in the app before locating it in the graph and confused about where to find information about anxiety and depression, looking at the resources or self-care features of the app instead of the information feature. Participants expressed that they thought the information feature was the place to find information about the app and not about anxiety. Moreover, although the majority of the participants had no problem finding the button within the app that was linked to the website with the therapist directory, some participants expressed that the website itself was not mobile friendly and required a lot of scrolling to find out if the therapist was accepting new clients.</p>
        <p>The aforementioned usability testing results produced the following considerations for the development of a mental health app to support the self-management of anxiety and depression in African American women: (1) the app should be intuitive and easy to use, (2) the app should include a feature to self-monitor mental health (eg, depression severity monitoring), (3) the app should allow users to learn coping skills (eg, tips on how to overcome depression), (4) the app should connect users with needed resources (eg, therapist), and (5) the app should provide users with the option to plan activities for self-care. In addition, the interface should be visually appealing and have clear labeling. These recommendations are consistent with those found in the literature that highlight the need for educational, psychotherapy, and personal development components in a mental health app designed to help users manage anxiety and depression [<xref ref-type="bibr" rid="ref28">28</xref>,<xref ref-type="bibr" rid="ref29">29</xref>]. Having a tutorial on how to use the app features and find content would also help improve user satisfaction and increase engagement. Furthermore, culturally tailoring the content and resources helps personalize the app to meet the specific needs and preferences of African American women.</p>
        <p>The eye-tracking software demonstrated that the participants primarily focused on the left side and middle of the screen when looking for information. This is consistent with a previous study that showed that people spend 80% of their time looking at the left side of the screen [<xref ref-type="bibr" rid="ref42">42</xref>]. Developers should consider placing important information on the left side or middle of the screen to make it easier for users to find. As external sites that the app links to may not be mobile friendly or have good usability, consider either only linking to mobile-friendly sites or placing all important content within the app. In addition, navigation buttons should be large and spaced well so that users with longer fingernails do not have difficulty tapping them. According to Fitts Law, the longer the distance to the target and the smaller the size of the target, the longer it takes to complete the movement [<xref ref-type="bibr" rid="ref43">43</xref>]. Feedback from the usability testing sessions informed the current design and development of the app, in terms of both anesthetics (eg, layout, color scheme) and information architecture (eg, renaming the information feature).</p>
        <p>Downloading an app does not necessarily mean that the user will continue to use it consistently in the long term. Past research conducted on the usage patterns of mental health apps showed that despite the high amount of initial installations and daily active minutes spent, only a small percentage of users continued to use the apps for longer than a couple of weeks [<xref ref-type="bibr" rid="ref44">44</xref>]. There are several challenges in using apps for mental health care. Factors that affect the uptake include both the health and digital literacy of users. Approximately one-third of adults in the United States have LHL [<xref ref-type="bibr" rid="ref45">45</xref>]. African American adults have a higher prevalence of LHL than their White counterparts [<xref ref-type="bibr" rid="ref45">45</xref>]. Individuals with LHL are less likely to use digital devices for health-related purposes, which can hinder the use of smartphone mental health app interventions [<xref ref-type="bibr" rid="ref46">46</xref>]. To promote adoption among users with LHL, smartphone health interventions should incorporate features that target a person’s own health literacy needs and technical skills [<xref ref-type="bibr" rid="ref47">47</xref>].</p>
        <p>Furthermore, poor usability in which an app may appear to be filled with bugs if a function or more does not seem to work, also affects the long-term use of the app. Another challenge is the lack of user engagement within apps that can cause app use to decline [<xref ref-type="bibr" rid="ref27">27</xref>]. A previous case study on building a highly rated mental health app showed that users tend to prefer apps that focus on self-development and change rather than interventions from external sources [<xref ref-type="bibr" rid="ref28">28</xref>]. The app tested in this usability study will promote engagement by prompting users to enter their mood daily. Users are also encouraged to record their thoughts and feelings in the guided thought journal for reflection and planning future actions. Push notifications will also remind users to complete the anxiety (Generalized Anxiety Disorder 7-item scale) and depression (Patient Health Questionnaire 9-item scale) checkups every 2 weeks to track progress. In addition, the app checks in with the user after the chosen end date to confirm whether activities in their self-care plan were completed. Tailored feedback is incorporated into some components of the app, such as the guided thought journal, mood tracking, and self-care plan.</p>
        <p>When designing the user interface of the app itself, several variables should be considered. The experience of the user with app usage, their background, how they might function under stress while using the app, and the environment in which the app is being used are just some of the important factors that should be considered to ensure a positive user experience. A good mental health app should consider users’ need for support, sociocultural factors, and personal development goals. For example, an app focusing on providing anxiety management should educate its users about anxiety, provide culturally informed self-help options to manage their anxiety through low-intensity techniques, and give users the ability to track their progress and connect with preferred providers for additional support if necessary. Self-care apps should assume that their users are independent and provide support to them when needed [<xref ref-type="bibr" rid="ref27">27</xref>]. A <italic>one-size-fits-all</italic> approach to designing mHealth interventions may lead to more options but continued disparity in receiving mental health care. The inequitable design of digital health tools further perpetuates the exclusion of underserved populations from mental health care [<xref ref-type="bibr" rid="ref48">48</xref>]. Incorporating recommendations from intended users and knowledge of their technology use and behaviors can help mitigate potential intervention-generated inequalities [<xref ref-type="bibr" rid="ref49">49</xref>].</p>
        <p>One caveat is that the use of apps to receive mental health support may not be appropriate for everyone. If used as an adjunct to therapy, clients should be screened to determine whether the use of this modality is appropriate for treatment [<xref ref-type="bibr" rid="ref50">50</xref>]. A survey of African American women revealed that video calls were an acceptable modality to communicate with a professional to receive help in managing anxiety or depression [<xref ref-type="bibr" rid="ref20">20</xref>], whereas text messaging was not [<xref ref-type="bibr" rid="ref51">51</xref>]. Therefore, an option to communicate with a mental health professional via video calls within the app may be a useful feature to include. The extent to which a mental health app is used may vary. It can be used for self-management only, peer support, the primary modality to receive mental health care from a professional (eg, telecounseling), or as an adjunct to in-person or other methods for remote counseling.</p>
      </sec>
      <sec>
        <title>Strengths and Limitations</title>
        <p>The main strengths of this usability study are its rigorous design and use of the cognitive walkthrough and think-aloud method, eye-tracking technology-assisted usability evaluation, and administration of the QUIS to capture user performance, physiological data, and qualitative feedback completely. In addition, 15 participants were recruited to participate in the usability testing of the app, thus providing a more than adequate sample size.</p>
        <p>One of the main limitations was that our participants were mostly younger women (under 50 years old) with at least a bachelor’s degree. This may limit the generalizability of the findings to older African American women and those with less than a bachelor’s degree. However, previously reported statistics revealed that younger Black women had a higher prevalence of lifetime anxiety (eg, generalized anxiety disorder) and mood disorders (eg, major depressive disorder) than older Black women (50 years or older) [<xref ref-type="bibr" rid="ref2">2</xref>]. Although access to mental health services and resources may be less of an issue for African American women with at least a bachelor’s degree, access to culturally informed resources and a professional that meets the ethnicity and gender preferences of the patient may remain an issue as less than 5% of active psychologists in the United States are African American women [<xref ref-type="bibr" rid="ref52">52</xref>].</p>
        <p>In addition, the geographical restriction in recruiting participants may have resulted in the opinions and perceptions of the participants not reflecting those of a nationally representative sample. Another limitation was that this study did not focus on the efficacy of the app to reduce anxiety and depressive symptoms, as this would require a randomized controlled trial and significant resources to be done properly. Despite these limitations, the study yielded useful information that provides guidance for designing an app to help African American women and other populations in managing anxiety and depression.</p>
      </sec>
      <sec>
        <title>Conclusions and Future Directions</title>
        <p>African American women have high rates of smartphone ownership (80%) [<xref ref-type="bibr" rid="ref22">22</xref>], and there is a great opportunity to use mobile technology to provide mental health resources and services to them. Poor usability severely affects the engagement and effectiveness of mHealth interventions. Therefore, usability testing should be incorporated in the design and development of mental health apps to increase adoption, engagement, and user satisfaction. This study contributes to an improved understanding of users’ experiences with an app tailored to support the self-management of anxiety and depression in African American women, which is an underserved population. It is recommended that future researchers and app designers consider the proposed content, features, and considerations highlighted by this study while developing a mental health app for this population to enhance the user experience. We are planning to further develop the app by incorporating feedback from this study, and the new version will undergo iterative usability testing before the launch of the pilot study to evaluate the feasibility and acceptability of the prototype.</p>
      </sec>
    </sec>
  </body>
  <back>
    <app-group>
      <supplementary-material id="app1">
        <label>Multimedia Appendix 1</label>
        <p>Usability testing scenarios and tasks.</p>
        <media xlink:href="formative_v5i8e24393_app1.pdf" xlink:title="PDF File  (Adobe PDF File), 120 KB"/>
      </supplementary-material>
      <supplementary-material id="app2">
        <label>Multimedia Appendix 2</label>
        <p>Cognitive walkthrough benchmarks.</p>
        <media xlink:href="formative_v5i8e24393_app2.pdf" xlink:title="PDF File  (Adobe PDF File), 1449 KB"/>
      </supplementary-material>
      <supplementary-material id="app3">
        <label>Multimedia Appendix 3</label>
        <p>Usability testing participant performance versus benchmark for scenario 1 tasks.</p>
        <media xlink:href="formative_v5i8e24393_app3.pdf" xlink:title="PDF File  (Adobe PDF File), 1229 KB"/>
      </supplementary-material>
      <supplementary-material id="app4">
        <label>Multimedia Appendix 4</label>
        <p>Usability testing participant performance versus benchmark for scenario 2 tasks.</p>
        <media xlink:href="formative_v5i8e24393_app4.pdf" xlink:title="PDF File  (Adobe PDF File), 1095 KB"/>
      </supplementary-material>
    </app-group>
    <glossary>
      <title>Abbreviations</title>
      <def-list>
        <def-item>
          <term id="abb1">LHL</term>
          <def>
            <p>limited health literacy</p>
          </def>
        </def-item>
        <def-item>
          <term id="abb2">mHealth</term>
          <def>
            <p>mobile health</p>
          </def>
        </def-item>
        <def-item>
          <term id="abb3">QUIS</term>
          <def>
            <p>Questionnaire for User Interface Satisfaction</p>
          </def>
        </def-item>
        <def-item>
          <term id="abb4">UNC</term>
          <def>
            <p>University of North Carolina</p>
          </def>
        </def-item>
      </def-list>
    </glossary>
    <ack>
      <p>The authors would like to acknowledge the members of Computer Science + Social Good at the UNC at Chapel Hill for assisting with the development of the app. In addition, the authors also thank Dr Craig Locatis, Fang Liu, Dr Clinton Bolton III, and Malvika Pillai for their support in the development of the app. The first author (TM) was supported by funding from the National Library of Medicine’s Institutional Training Grant for Research Training in Biomedical Informatics and Data Science at the Carolina Health Informatics Program (T15LM012500) and Yale Center for Medical Informatics (T15LM007056). This research was also supported by the Intramural Research Program of the National Library of Medicine, National Institutes of Health.</p>
    </ack>
    <fn-group>
      <fn fn-type="conflict">
        <p>None declared.</p>
      </fn>
    </fn-group>
    <ref-list>
      <ref id="ref1">
        <label>1</label>
        <nlm-citation citation-type="web">
          <article-title>National Survey on Drug Use and Health 2019 (NSDUH-2019-DS0001) [data file]</article-title>
          <source>U.S. Department of Health and Human Services, Substance Abuse and Mental Health Services Administration, and Center for Behavioral Health Statistics and Quality</source>
          <year>2020</year>
          <access-date>2021-04-06</access-date>
          <comment>
            <ext-link ext-link-type="uri" xlink:type="simple" xlink:href="https://datafiles.samhsa.gov">https://datafiles.samhsa.gov</ext-link>
          </comment>
        </nlm-citation>
      </ref>
      <ref id="ref2">
        <label>2</label>
        <nlm-citation citation-type="journal">
          <person-group person-group-type="author">
            <name name-style="western">
              <surname>Lacey</surname>
              <given-names>KK</given-names>
            </name>
            <name name-style="western">
              <surname>Parnell</surname>
              <given-names>R</given-names>
            </name>
            <name name-style="western">
              <surname>Mouzon</surname>
              <given-names>DM</given-names>
            </name>
            <name name-style="western">
              <surname>Matusko</surname>
              <given-names>N</given-names>
            </name>
            <name name-style="western">
              <surname>Head</surname>
              <given-names>D</given-names>
            </name>
            <name name-style="western">
              <surname>Abelson</surname>
              <given-names>JM</given-names>
            </name>
            <name name-style="western">
              <surname>Jackson</surname>
              <given-names>JS</given-names>
            </name>
          </person-group>
          <article-title>The mental health of US Black women: the roles of social context and severe intimate partner violence</article-title>
          <source>BMJ Open</source>
          <year>2015</year>
          <month>10</month>
          <day>19</day>
          <volume>5</volume>
          <issue>10</issue>
          <fpage>e008415</fpage>
          <comment>
            <ext-link ext-link-type="uri" xlink:type="simple" xlink:href="https://bmjopen.bmj.com/lookup/pmidlookup?view=long&#38;pmid=26482770"/>
          </comment>
          <pub-id pub-id-type="doi">10.1136/bmjopen-2015-008415</pub-id>
          <pub-id pub-id-type="medline">26482770</pub-id>
          <pub-id pub-id-type="pii">bmjopen-2015-008415</pub-id>
          <pub-id pub-id-type="pmcid">PMC4611204</pub-id>
        </nlm-citation>
      </ref>
      <ref id="ref3">
        <label>3</label>
        <nlm-citation citation-type="book">
          <source>Mental Health: Culture, Race, and Ethnicity</source>
          <year>2001</year>
          <publisher-loc>Rockville, MD</publisher-loc>
          <publisher-name>Substance Abuse and Mental Health Services Administration</publisher-name>
        </nlm-citation>
      </ref>
      <ref id="ref4">
        <label>4</label>
        <nlm-citation citation-type="journal">
          <person-group person-group-type="author">
            <name name-style="western">
              <surname>Takayanagi</surname>
              <given-names>Y</given-names>
            </name>
            <name name-style="western">
              <surname>Spira</surname>
              <given-names>AP</given-names>
            </name>
            <name name-style="western">
              <surname>Roth</surname>
              <given-names>KB</given-names>
            </name>
            <name name-style="western">
              <surname>Gallo</surname>
              <given-names>JJ</given-names>
            </name>
            <name name-style="western">
              <surname>Eaton</surname>
              <given-names>WW</given-names>
            </name>
            <name name-style="western">
              <surname>Mojtabai</surname>
              <given-names>R</given-names>
            </name>
          </person-group>
          <article-title>Accuracy of reports of lifetime mental and physical disorders: results from the Baltimore Epidemiological Catchment Area study</article-title>
          <source>JAMA Psychiatry</source>
          <year>2014</year>
          <month>03</month>
          <volume>71</volume>
          <issue>3</issue>
          <fpage>273</fpage>
          <lpage>80</lpage>
          <comment>
            <ext-link ext-link-type="uri" xlink:type="simple" xlink:href="http://europepmc.org/abstract/MED/24402003"/>
          </comment>
          <pub-id pub-id-type="doi">10.1001/jamapsychiatry.2013.3579</pub-id>
          <pub-id pub-id-type="medline">24402003</pub-id>
          <pub-id pub-id-type="pii">1810319</pub-id>
          <pub-id pub-id-type="pmcid">PMC4135054</pub-id>
        </nlm-citation>
      </ref>
      <ref id="ref5">
        <label>5</label>
        <nlm-citation citation-type="journal">
          <person-group person-group-type="author">
            <name name-style="western">
              <surname>Thompson</surname>
              <given-names>VLS</given-names>
            </name>
            <name name-style="western">
              <surname>Bazile</surname>
              <given-names>A</given-names>
            </name>
            <name name-style="western">
              <surname>Akbar</surname>
              <given-names>M</given-names>
            </name>
          </person-group>
          <article-title>African Americans' perceptions of psychotherapy and psychotherapists</article-title>
          <source>Prof Psychol Res Pr</source>
          <year>2004</year>
          <volume>35</volume>
          <issue>1</issue>
          <fpage>19</fpage>
          <lpage>26</lpage>
          <pub-id pub-id-type="doi">10.1037/0735-7028.35.1.19</pub-id>
        </nlm-citation>
      </ref>
      <ref id="ref6">
        <label>6</label>
        <nlm-citation citation-type="journal">
          <person-group person-group-type="author">
            <name name-style="western">
              <surname>Hines-Martin</surname>
              <given-names>V</given-names>
            </name>
            <name name-style="western">
              <surname>Malone</surname>
              <given-names>M</given-names>
            </name>
            <name name-style="western">
              <surname>Kim</surname>
              <given-names>S</given-names>
            </name>
            <name name-style="western">
              <surname>Brown-Piper</surname>
              <given-names>A</given-names>
            </name>
          </person-group>
          <article-title>Barriers to mental health care access in an African American population</article-title>
          <source>Ment Health Nurs</source>
          <year>2003</year>
          <volume>24</volume>
          <issue>3</issue>
          <fpage>237</fpage>
          <lpage>56</lpage>
          <pub-id pub-id-type="doi">10.1080/01612840305281</pub-id>
        </nlm-citation>
      </ref>
      <ref id="ref7">
        <label>7</label>
        <nlm-citation citation-type="journal">
          <person-group person-group-type="author">
            <name name-style="western">
              <surname>Merritt-Davis</surname>
              <given-names>OB</given-names>
            </name>
            <name name-style="western">
              <surname>Keshavan</surname>
              <given-names>MS</given-names>
            </name>
          </person-group>
          <article-title>Pathways to Care for African Americans With Early Psychosis</article-title>
          <source>Psychiatr Serv</source>
          <year>2006</year>
          <month>07</month>
          <volume>57</volume>
          <issue>7</issue>
          <fpage>1043</fpage>
          <lpage>4</lpage>
          <pub-id pub-id-type="doi">10.1176/ps.2006.57.7.1043</pub-id>
        </nlm-citation>
      </ref>
      <ref id="ref8">
        <label>8</label>
        <nlm-citation citation-type="web">
          <person-group person-group-type="author">
            <name name-style="western">
              <surname>McCall</surname>
              <given-names>T</given-names>
            </name>
          </person-group>
          <article-title>Mhealth for Mental Health: Culturally-tailored Interventions for Managing Anxiety and Depression in African American Women [doctoral Dissertation]</article-title>
          <source>ProQuest</source>
          <year>2020</year>
          <access-date>2020-08-27</access-date>
          <comment>
            <ext-link ext-link-type="uri" xlink:type="simple" xlink:href="https://search.proquest.com/docview/2436913713">https://search.proquest.com/docview/2436913713</ext-link>
          </comment>
        </nlm-citation>
      </ref>
      <ref id="ref9">
        <label>9</label>
        <nlm-citation citation-type="journal">
          <person-group person-group-type="author">
            <name name-style="western">
              <surname>Arean</surname>
              <given-names>PA</given-names>
            </name>
            <name name-style="western">
              <surname>Hallgren</surname>
              <given-names>KA</given-names>
            </name>
            <name name-style="western">
              <surname>Jordan</surname>
              <given-names>JT</given-names>
            </name>
            <name name-style="western">
              <surname>Gazzaley</surname>
              <given-names>A</given-names>
            </name>
            <name name-style="western">
              <surname>Atkins</surname>
              <given-names>DC</given-names>
            </name>
            <name name-style="western">
              <surname>Heagerty</surname>
              <given-names>PJ</given-names>
            </name>
            <name name-style="western">
              <surname>Anguera</surname>
              <given-names>JA</given-names>
            </name>
          </person-group>
          <article-title>The use and effectiveness of mobile apps for depression: results from a fully remote clinical trial</article-title>
          <source>J Med Internet Res</source>
          <year>2016</year>
          <month>12</month>
          <day>20</day>
          <volume>18</volume>
          <issue>12</issue>
          <fpage>e330</fpage>
          <comment>
            <ext-link ext-link-type="uri" xlink:type="simple" xlink:href="https://www.jmir.org/2016/12/e330/"/>
          </comment>
          <pub-id pub-id-type="doi">10.2196/jmir.6482</pub-id>
          <pub-id pub-id-type="medline">27998876</pub-id>
          <pub-id pub-id-type="pii">v18i12e330</pub-id>
          <pub-id pub-id-type="pmcid">PMC5209607</pub-id>
        </nlm-citation>
      </ref>
      <ref id="ref10">
        <label>10</label>
        <nlm-citation citation-type="journal">
          <person-group person-group-type="author">
            <name name-style="western">
              <surname>Clarke</surname>
              <given-names>J</given-names>
            </name>
            <name name-style="western">
              <surname>Proudfoot</surname>
              <given-names>J</given-names>
            </name>
            <name name-style="western">
              <surname>Birch</surname>
              <given-names>MR</given-names>
            </name>
            <name name-style="western">
              <surname>Whitton</surname>
              <given-names>AE</given-names>
            </name>
            <name name-style="western">
              <surname>Parker</surname>
              <given-names>G</given-names>
            </name>
            <name name-style="western">
              <surname>Manicavasagar</surname>
              <given-names>V</given-names>
            </name>
            <name name-style="western">
              <surname>Harrison</surname>
              <given-names>V</given-names>
            </name>
            <name name-style="western">
              <surname>Christensen</surname>
              <given-names>H</given-names>
            </name>
            <name name-style="western">
              <surname>Hadzi-Pavlovic</surname>
              <given-names>D</given-names>
            </name>
          </person-group>
          <article-title>Effects of mental health self-efficacy on outcomes of a mobile phone and web intervention for mild-to-moderate depression, anxiety and stress: secondary analysis of a randomised controlled trial</article-title>
          <source>BMC Psychiatry</source>
          <year>2014</year>
          <month>09</month>
          <day>26</day>
          <volume>14</volume>
          <fpage>272</fpage>
          <comment>
            <ext-link ext-link-type="uri" xlink:type="simple" xlink:href="https://bmcpsychiatry.biomedcentral.com/articles/10.1186/s12888-014-0272-1"/>
          </comment>
          <pub-id pub-id-type="doi">10.1186/s12888-014-0272-1</pub-id>
          <pub-id pub-id-type="medline">25252853</pub-id>
          <pub-id pub-id-type="pii">s12888-014-0272-1</pub-id>
          <pub-id pub-id-type="pmcid">PMC4189737</pub-id>
        </nlm-citation>
      </ref>
      <ref id="ref11">
        <label>11</label>
        <nlm-citation citation-type="journal">
          <person-group person-group-type="author">
            <name name-style="western">
              <surname>Proudfoot</surname>
              <given-names>J</given-names>
            </name>
            <name name-style="western">
              <surname>Clarke</surname>
              <given-names>J</given-names>
            </name>
            <name name-style="western">
              <surname>Birch</surname>
              <given-names>MR</given-names>
            </name>
            <name name-style="western">
              <surname>Whitton</surname>
              <given-names>AE</given-names>
            </name>
            <name name-style="western">
              <surname>Parker</surname>
              <given-names>G</given-names>
            </name>
            <name name-style="western">
              <surname>Manicavasagar</surname>
              <given-names>V</given-names>
            </name>
            <name name-style="western">
              <surname>Harrison</surname>
              <given-names>V</given-names>
            </name>
            <name name-style="western">
              <surname>Christensen</surname>
              <given-names>H</given-names>
            </name>
            <name name-style="western">
              <surname>Hadzi-Pavlovic</surname>
              <given-names>D</given-names>
            </name>
          </person-group>
          <article-title>Impact of a mobile phone and web program on symptom and functional outcomes for people with mild-to-moderate depression, anxiety and stress: a randomised controlled trial</article-title>
          <source>BMC Psychiatry</source>
          <year>2013</year>
          <month>11</month>
          <day>18</day>
          <volume>13</volume>
          <fpage>312</fpage>
          <comment>
            <ext-link ext-link-type="uri" xlink:type="simple" xlink:href="https://bmcpsychiatry.biomedcentral.com/articles/10.1186/1471-244X-13-312"/>
          </comment>
          <pub-id pub-id-type="doi">10.1186/1471-244X-13-312</pub-id>
          <pub-id pub-id-type="medline">24237617</pub-id>
          <pub-id pub-id-type="pii">1471-244X-13-312</pub-id>
          <pub-id pub-id-type="pmcid">PMC4225666</pub-id>
        </nlm-citation>
      </ref>
      <ref id="ref12">
        <label>12</label>
        <nlm-citation citation-type="journal">
          <person-group person-group-type="author">
            <name name-style="western">
              <surname>Moberg</surname>
              <given-names>C</given-names>
            </name>
            <name name-style="western">
              <surname>Niles</surname>
              <given-names>A</given-names>
            </name>
            <name name-style="western">
              <surname>Beermann</surname>
              <given-names>D</given-names>
            </name>
          </person-group>
          <article-title>Guided self-help works: randomized waitlist controlled trial of pacifica, a mobile app integrating cognitive behavioral therapy and mindfulness for stress, anxiety, and depression</article-title>
          <source>J Med Internet Res</source>
          <year>2019</year>
          <month>06</month>
          <day>8</day>
          <volume>21</volume>
          <issue>6</issue>
          <fpage>e12556</fpage>
          <comment>
            <ext-link ext-link-type="uri" xlink:type="simple" xlink:href="https://www.jmir.org/2019/6/e12556/"/>
          </comment>
          <pub-id pub-id-type="doi">10.2196/12556</pub-id>
          <pub-id pub-id-type="medline">31199319</pub-id>
          <pub-id pub-id-type="pii">v21i6e12556</pub-id>
          <pub-id pub-id-type="pmcid">PMC6592477</pub-id>
        </nlm-citation>
      </ref>
      <ref id="ref13">
        <label>13</label>
        <nlm-citation citation-type="journal">
          <person-group person-group-type="author">
            <name name-style="western">
              <surname>Firth</surname>
              <given-names>J</given-names>
            </name>
            <name name-style="western">
              <surname>Torous</surname>
              <given-names>J</given-names>
            </name>
            <name name-style="western">
              <surname>Nicholas</surname>
              <given-names>J</given-names>
            </name>
            <name name-style="western">
              <surname>Carney</surname>
              <given-names>R</given-names>
            </name>
            <name name-style="western">
              <surname>Pratap</surname>
              <given-names>A</given-names>
            </name>
            <name name-style="western">
              <surname>Rosenbaum</surname>
              <given-names>S</given-names>
            </name>
            <name name-style="western">
              <surname>Sarris</surname>
              <given-names>J</given-names>
            </name>
          </person-group>
          <article-title>The efficacy of smartphone-based mental health interventions for depressive symptoms: a meta-analysis of randomized controlled trials</article-title>
          <source>World Psychiatry</source>
          <year>2017</year>
          <month>10</month>
          <volume>16</volume>
          <issue>3</issue>
          <fpage>287</fpage>
          <lpage>98</lpage>
          <comment>
            <ext-link ext-link-type="uri" xlink:type="simple" xlink:href="http://dx.doi.org/10.1002/wps.20472"/>
          </comment>
          <pub-id pub-id-type="doi">10.1002/wps.20472</pub-id>
          <pub-id pub-id-type="medline">28941113</pub-id>
          <pub-id pub-id-type="pmcid">PMC5608852</pub-id>
        </nlm-citation>
      </ref>
      <ref id="ref14">
        <label>14</label>
        <nlm-citation citation-type="journal">
          <person-group person-group-type="author">
            <name name-style="western">
              <surname>Firth</surname>
              <given-names>J</given-names>
            </name>
            <name name-style="western">
              <surname>Torous</surname>
              <given-names>J</given-names>
            </name>
            <name name-style="western">
              <surname>Nicholas</surname>
              <given-names>J</given-names>
            </name>
            <name name-style="western">
              <surname>Carney</surname>
              <given-names>R</given-names>
            </name>
            <name name-style="western">
              <surname>Rosenbaum</surname>
              <given-names>S</given-names>
            </name>
            <name name-style="western">
              <surname>Sarris</surname>
              <given-names>J</given-names>
            </name>
          </person-group>
          <article-title>Can smartphone mental health interventions reduce symptoms of anxiety? A meta-analysis of randomized controlled trials</article-title>
          <source>J Affect Disord</source>
          <year>2017</year>
          <month>08</month>
          <day>15</day>
          <volume>218</volume>
          <fpage>15</fpage>
          <lpage>22</lpage>
          <comment>
            <ext-link ext-link-type="uri" xlink:type="simple" xlink:href="https://linkinghub.elsevier.com/retrieve/pii/S0165-0327(17)30015-0"/>
          </comment>
          <pub-id pub-id-type="doi">10.1016/j.jad.2017.04.046</pub-id>
          <pub-id pub-id-type="medline">28456072</pub-id>
          <pub-id pub-id-type="pii">S0165-0327(17)30015-0</pub-id>
        </nlm-citation>
      </ref>
      <ref id="ref15">
        <label>15</label>
        <nlm-citation citation-type="journal">
          <person-group person-group-type="author">
            <name name-style="western">
              <surname>Sarkar</surname>
              <given-names>U</given-names>
            </name>
            <name name-style="western">
              <surname>Gourley</surname>
              <given-names>GI</given-names>
            </name>
            <name name-style="western">
              <surname>Lyles</surname>
              <given-names>CR</given-names>
            </name>
            <name name-style="western">
              <surname>Tieu</surname>
              <given-names>L</given-names>
            </name>
            <name name-style="western">
              <surname>Clarity</surname>
              <given-names>C</given-names>
            </name>
            <name name-style="western">
              <surname>Newmark</surname>
              <given-names>L</given-names>
            </name>
            <name name-style="western">
              <surname>Singh</surname>
              <given-names>K</given-names>
            </name>
            <name name-style="western">
              <surname>Bates</surname>
              <given-names>DW</given-names>
            </name>
          </person-group>
          <article-title>Usability of commercially available mobile applications for diverse patients</article-title>
          <source>J Gen Intern Med</source>
          <year>2016</year>
          <month>12</month>
          <volume>31</volume>
          <issue>12</issue>
          <fpage>1417</fpage>
          <lpage>26</lpage>
          <pub-id pub-id-type="doi">10.1007/s11606-016-3771-6</pub-id>
          <pub-id pub-id-type="medline">27418347</pub-id>
          <pub-id pub-id-type="pii">10.1007/s11606-016-3771-6</pub-id>
          <pub-id pub-id-type="pmcid">PMC5130945</pub-id>
        </nlm-citation>
      </ref>
      <ref id="ref16">
        <label>16</label>
        <nlm-citation citation-type="journal">
          <person-group person-group-type="author">
            <name name-style="western">
              <surname>McCall</surname>
              <given-names>T</given-names>
            </name>
            <name name-style="western">
              <surname>Bolton</surname>
              <given-names>Clinton S</given-names>
            </name>
            <name name-style="western">
              <surname>Carlson</surname>
              <given-names>R</given-names>
            </name>
            <name name-style="western">
              <surname>Khairat</surname>
              <given-names>S</given-names>
            </name>
          </person-group>
          <article-title>A systematic review of telehealth interventions for managing anxiety and depression in African American adults</article-title>
          <source>Mhealth</source>
          <year>2021</year>
          <volume>7</volume>
          <fpage>31</fpage>
          <comment>
            <ext-link ext-link-type="uri" xlink:type="simple" xlink:href="https://doi.org/10.21037/mhealth-20-114"/>
          </comment>
          <pub-id pub-id-type="doi">10.21037/mhealth-20-114</pub-id>
          <pub-id pub-id-type="medline">33898600</pub-id>
          <pub-id pub-id-type="pii">mh-07-20-114</pub-id>
          <pub-id pub-id-type="pmcid">PMC8063009</pub-id>
        </nlm-citation>
      </ref>
      <ref id="ref17">
        <label>17</label>
        <nlm-citation citation-type="journal">
          <person-group person-group-type="author">
            <name name-style="western">
              <surname>Glueckauf</surname>
              <given-names>RL</given-names>
            </name>
            <name name-style="western">
              <surname>Davis</surname>
              <given-names>WS</given-names>
            </name>
            <name name-style="western">
              <surname>Willis</surname>
              <given-names>F</given-names>
            </name>
            <name name-style="western">
              <surname>Sharma</surname>
              <given-names>D</given-names>
            </name>
            <name name-style="western">
              <surname>Gustafson</surname>
              <given-names>DJ</given-names>
            </name>
            <name name-style="western">
              <surname>Hayes</surname>
              <given-names>J</given-names>
            </name>
            <name name-style="western">
              <surname>Stutzman</surname>
              <given-names>M</given-names>
            </name>
            <name name-style="western">
              <surname>Proctor</surname>
              <given-names>J</given-names>
            </name>
            <name name-style="western">
              <surname>Kazmer</surname>
              <given-names>MM</given-names>
            </name>
            <name name-style="western">
              <surname>Murray</surname>
              <given-names>L</given-names>
            </name>
            <name name-style="western">
              <surname>Shipman</surname>
              <given-names>J</given-names>
            </name>
            <name name-style="western">
              <surname>McIntyre</surname>
              <given-names>V</given-names>
            </name>
            <name name-style="western">
              <surname>Wesley</surname>
              <given-names>L</given-names>
            </name>
            <name name-style="western">
              <surname>Schettini</surname>
              <given-names>G</given-names>
            </name>
            <name name-style="western">
              <surname>Xu</surname>
              <given-names>J</given-names>
            </name>
            <name name-style="western">
              <surname>Parfitt</surname>
              <given-names>F</given-names>
            </name>
            <name name-style="western">
              <surname>Graff-Radford</surname>
              <given-names>N</given-names>
            </name>
            <name name-style="western">
              <surname>Baxter</surname>
              <given-names>C</given-names>
            </name>
            <name name-style="western">
              <surname>Burnett</surname>
              <given-names>K</given-names>
            </name>
            <name name-style="western">
              <surname>Noël</surname>
              <given-names>LT</given-names>
            </name>
            <name name-style="western">
              <surname>Haire</surname>
              <given-names>K</given-names>
            </name>
            <name name-style="western">
              <surname>Springer</surname>
              <given-names>J</given-names>
            </name>
          </person-group>
          <article-title>Telephone-based, cognitive-behavioral therapy for African American dementia caregivers with depression: initial findings</article-title>
          <source>Rehabil Psychol</source>
          <year>2012</year>
          <month>05</month>
          <volume>57</volume>
          <issue>2</issue>
          <fpage>124</fpage>
          <lpage>39</lpage>
          <pub-id pub-id-type="doi">10.1037/a0028688</pub-id>
          <pub-id pub-id-type="medline">22686551</pub-id>
          <pub-id pub-id-type="pii">2012-15239-004</pub-id>
        </nlm-citation>
      </ref>
      <ref id="ref18">
        <label>18</label>
        <nlm-citation citation-type="journal">
          <person-group person-group-type="author">
            <name name-style="western">
              <surname>Himelhoch</surname>
              <given-names>S</given-names>
            </name>
            <name name-style="western">
              <surname>Mohr</surname>
              <given-names>D</given-names>
            </name>
            <name name-style="western">
              <surname>Maxfield</surname>
              <given-names>J</given-names>
            </name>
            <name name-style="western">
              <surname>Clayton</surname>
              <given-names>S</given-names>
            </name>
            <name name-style="western">
              <surname>Weber</surname>
              <given-names>E</given-names>
            </name>
            <name name-style="western">
              <surname>Medoff</surname>
              <given-names>D</given-names>
            </name>
            <name name-style="western">
              <surname>Dixon</surname>
              <given-names>L</given-names>
            </name>
          </person-group>
          <article-title>Feasibility of telephone-based cognitive behavioral therapy targeting major depression among urban dwelling African-American people with co-occurring HIV</article-title>
          <source>Psychol Health Med</source>
          <year>2011</year>
          <month>03</month>
          <volume>16</volume>
          <issue>2</issue>
          <fpage>156</fpage>
          <lpage>65</lpage>
          <comment>
            <ext-link ext-link-type="uri" xlink:type="simple" xlink:href="http://europepmc.org/abstract/MED/21328144"/>
          </comment>
          <pub-id pub-id-type="doi">10.1080/13548506.2010.534641</pub-id>
          <pub-id pub-id-type="medline">21328144</pub-id>
          <pub-id pub-id-type="pii">933319805</pub-id>
          <pub-id pub-id-type="pmcid">PMC3189854</pub-id>
        </nlm-citation>
      </ref>
      <ref id="ref19">
        <label>19</label>
        <nlm-citation citation-type="journal">
          <person-group person-group-type="author">
            <name name-style="western">
              <surname>Hightow-Weidman</surname>
              <given-names>LB</given-names>
            </name>
            <name name-style="western">
              <surname>Muessig</surname>
              <given-names>KE</given-names>
            </name>
            <name name-style="western">
              <surname>Pike</surname>
              <given-names>EC</given-names>
            </name>
            <name name-style="western">
              <surname>LeGrand</surname>
              <given-names>S</given-names>
            </name>
            <name name-style="western">
              <surname>Baltierra</surname>
              <given-names>N</given-names>
            </name>
            <name name-style="western">
              <surname>Rucker</surname>
              <given-names>AJ</given-names>
            </name>
            <name name-style="western">
              <surname>Wilson</surname>
              <given-names>P</given-names>
            </name>
          </person-group>
          <article-title>Healthmpowerment.Org: building community through a mobile-optimized, online health promotion intervention</article-title>
          <source>Health Educ Behav</source>
          <year>2015</year>
          <month>08</month>
          <volume>42</volume>
          <issue>4</issue>
          <fpage>493</fpage>
          <lpage>9</lpage>
          <pub-id pub-id-type="doi">10.1177/1090198114562043</pub-id>
          <pub-id pub-id-type="medline">25588932</pub-id>
          <pub-id pub-id-type="pii">1090198114562043</pub-id>
          <pub-id pub-id-type="pmcid">PMC4501897</pub-id>
        </nlm-citation>
      </ref>
      <ref id="ref20">
        <label>20</label>
        <nlm-citation citation-type="journal">
          <person-group person-group-type="author">
            <name name-style="western">
              <surname>McCall</surname>
              <given-names>T</given-names>
            </name>
            <name name-style="western">
              <surname>Schwartz</surname>
              <given-names>T</given-names>
            </name>
            <name name-style="western">
              <surname>Khairat</surname>
              <given-names>S</given-names>
            </name>
          </person-group>
          <article-title>Acceptability of Telemedicine to Help African American Women Manage Anxiety and Depression</article-title>
          <source>Stud Health Technol Inform</source>
          <year>2019</year>
          <month>08</month>
          <day>21</day>
          <volume>264</volume>
          <fpage>699</fpage>
          <lpage>703</lpage>
          <pub-id pub-id-type="doi">10.3233/SHTI190313</pub-id>
          <pub-id pub-id-type="medline">31438014</pub-id>
          <pub-id pub-id-type="pii">SHTI190313</pub-id>
        </nlm-citation>
      </ref>
      <ref id="ref21">
        <label>21</label>
        <nlm-citation citation-type="journal">
          <person-group person-group-type="author">
            <name name-style="western">
              <surname>James</surname>
              <given-names>DCS</given-names>
            </name>
            <name name-style="western">
              <surname>Harville</surname>
              <given-names>C</given-names>
            </name>
            <name name-style="western">
              <surname>Whitehead</surname>
              <given-names>N</given-names>
            </name>
            <name name-style="western">
              <surname>Stellefson</surname>
              <given-names>M</given-names>
            </name>
            <name name-style="western">
              <surname>Dodani</surname>
              <given-names>S</given-names>
            </name>
            <name name-style="western">
              <surname>Sears</surname>
              <given-names>C</given-names>
            </name>
          </person-group>
          <article-title>Willingness of African American Women to Participate in e-Health/m-Health Research</article-title>
          <source>Telemed J E Health</source>
          <year>2016</year>
          <month>03</month>
          <volume>22</volume>
          <issue>3</issue>
          <fpage>191</fpage>
          <lpage>7</lpage>
          <pub-id pub-id-type="doi">10.1089/tmj.2015.0071</pub-id>
          <pub-id pub-id-type="medline">26313323</pub-id>
        </nlm-citation>
      </ref>
      <ref id="ref22">
        <label>22</label>
        <nlm-citation citation-type="web">
          <article-title>Reaching Black Women Across Media Platforms</article-title>
          <source>The Nielsen Company</source>
          <year>2017</year>
          <month>12</month>
          <day>11</day>
          <access-date>2018-11-14</access-date>
          <comment>
            <ext-link ext-link-type="uri" xlink:type="simple" xlink:href="www.nielsen.com/us/en/insights/news/2017/reaching-black-women-across-media-platforms.html">www.nielsen.com/us/en/insights/news/2017/reaching-black-women-across-media-platforms.html</ext-link>
          </comment>
        </nlm-citation>
      </ref>
      <ref id="ref23">
        <label>23</label>
        <nlm-citation citation-type="journal">
          <person-group person-group-type="author">
            <name name-style="western">
              <surname>Miralles</surname>
              <given-names>I</given-names>
            </name>
            <name name-style="western">
              <surname>Granell</surname>
              <given-names>C</given-names>
            </name>
            <name name-style="western">
              <surname>Díaz-Sanahuja</surname>
              <given-names>L</given-names>
            </name>
            <name name-style="western">
              <surname>Van Woensel</surname>
              <given-names>W</given-names>
            </name>
            <name name-style="western">
              <surname>Bretón-López</surname>
              <given-names>J</given-names>
            </name>
            <name name-style="western">
              <surname>Mira</surname>
              <given-names>A</given-names>
            </name>
            <name name-style="western">
              <surname>Castilla</surname>
              <given-names>D</given-names>
            </name>
            <name name-style="western">
              <surname>Casteleyn</surname>
              <given-names>S</given-names>
            </name>
          </person-group>
          <article-title>Smartphone Apps for the Treatment of Mental Disorders: Systematic Review</article-title>
          <source>JMIR Mhealth Uhealth</source>
          <year>2020</year>
          <month>04</month>
          <day>02</day>
          <volume>8</volume>
          <issue>4</issue>
          <fpage>e14897</fpage>
          <comment>
            <ext-link ext-link-type="uri" xlink:type="simple" xlink:href="https://mhealth.jmir.org/2020/4/e14897/"/>
          </comment>
          <pub-id pub-id-type="doi">10.2196/14897</pub-id>
          <pub-id pub-id-type="medline">32238332</pub-id>
          <pub-id pub-id-type="pii">v8i4e14897</pub-id>
          <pub-id pub-id-type="pmcid">PMC7163422</pub-id>
        </nlm-citation>
      </ref>
      <ref id="ref24">
        <label>24</label>
        <nlm-citation citation-type="journal">
          <person-group person-group-type="author">
            <name name-style="western">
              <surname>Van Ameringen</surname>
              <given-names>M</given-names>
            </name>
            <name name-style="western">
              <surname>Turna</surname>
              <given-names>J</given-names>
            </name>
            <name name-style="western">
              <surname>Khalesi</surname>
              <given-names>Z</given-names>
            </name>
            <name name-style="western">
              <surname>Pullia</surname>
              <given-names>K</given-names>
            </name>
            <name name-style="western">
              <surname>Patterson</surname>
              <given-names>B</given-names>
            </name>
          </person-group>
          <article-title>There is an app for that! The current state of mobile applications (apps) for DSM-5 obsessive-compulsive disorder, posttraumatic stress disorder, anxiety and mood disorders</article-title>
          <source>Depress Anxiety</source>
          <year>2017</year>
          <month>06</month>
          <volume>34</volume>
          <issue>6</issue>
          <fpage>526</fpage>
          <lpage>539</lpage>
          <pub-id pub-id-type="doi">10.1002/da.22657</pub-id>
          <pub-id pub-id-type="medline">28569409</pub-id>
        </nlm-citation>
      </ref>
      <ref id="ref25">
        <label>25</label>
        <nlm-citation citation-type="journal">
          <person-group person-group-type="author">
            <name name-style="western">
              <surname>Shen</surname>
              <given-names>N</given-names>
            </name>
            <name name-style="western">
              <surname>Levitan</surname>
              <given-names>M-J</given-names>
            </name>
            <name name-style="western">
              <surname>Johnson</surname>
              <given-names>A</given-names>
            </name>
            <name name-style="western">
              <surname>Bender</surname>
              <given-names>JL</given-names>
            </name>
            <name name-style="western">
              <surname>Hamilton-Page</surname>
              <given-names>M</given-names>
            </name>
            <name name-style="western">
              <surname>Jadad</surname>
              <given-names>AAR</given-names>
            </name>
            <name name-style="western">
              <surname>Wiljer</surname>
              <given-names>D</given-names>
            </name>
          </person-group>
          <article-title>Finding a depression app: a review and content analysis of the depression app marketplace</article-title>
          <source>JMIR Mhealth Uhealth</source>
          <year>2015</year>
          <volume>3</volume>
          <issue>1</issue>
          <fpage>e16</fpage>
          <comment>
            <ext-link ext-link-type="uri" xlink:type="simple" xlink:href="http://mhealth.jmir.org/2015/1/e16/"/>
          </comment>
          <pub-id pub-id-type="doi">10.2196/mhealth.3713</pub-id>
          <pub-id pub-id-type="medline">25689790</pub-id>
          <pub-id pub-id-type="pii">v3i1e16</pub-id>
          <pub-id pub-id-type="pmcid">PMC4376135</pub-id>
        </nlm-citation>
      </ref>
      <ref id="ref26">
        <label>26</label>
        <nlm-citation citation-type="confproc">
          <person-group person-group-type="author">
            <name name-style="western">
              <surname>Alqahtani</surname>
              <given-names>F</given-names>
            </name>
            <name name-style="western">
              <surname>Orji</surname>
              <given-names>R</given-names>
            </name>
          </person-group>
          <article-title>Usability issues in mental health applications</article-title>
          <year>2019</year>
          <conf-name>27th Conference on User Modeling, Adaptation and Personalization</conf-name>
          <conf-date>June 9 - 12, 2019</conf-date>
          <conf-loc>Larnaca, Cyprus</conf-loc>
          <publisher-loc>USA</publisher-loc>
          <publisher-name>ACM</publisher-name>
          <pub-id pub-id-type="doi">10.1145/3314183.3323676</pub-id>
        </nlm-citation>
      </ref>
      <ref id="ref27">
        <label>27</label>
        <nlm-citation citation-type="journal">
          <person-group person-group-type="author">
            <name name-style="western">
              <surname>Torous</surname>
              <given-names>J</given-names>
            </name>
            <name name-style="western">
              <surname>Nicholas</surname>
              <given-names>J</given-names>
            </name>
            <name name-style="western">
              <surname>Larsen</surname>
              <given-names>ME</given-names>
            </name>
            <name name-style="western">
              <surname>Firth</surname>
              <given-names>J</given-names>
            </name>
            <name name-style="western">
              <surname>Christensen</surname>
              <given-names>H</given-names>
            </name>
          </person-group>
          <article-title>Clinical review of user engagement with mental health smartphone apps: evidence, theory and improvements</article-title>
          <source>Evid Based Ment Health</source>
          <year>2018</year>
          <month>06</month>
          <day>05</day>
          <fpage>116</fpage>
          <lpage>119</lpage>
          <pub-id pub-id-type="doi">10.1136/eb-2018-102891</pub-id>
          <pub-id pub-id-type="medline">29871870</pub-id>
          <pub-id pub-id-type="pii">eb-2018-102891</pub-id>
        </nlm-citation>
      </ref>
      <ref id="ref28">
        <label>28</label>
        <nlm-citation citation-type="confproc">
          <person-group person-group-type="author">
            <name name-style="western">
              <surname>Topham</surname>
              <given-names>P</given-names>
            </name>
            <name name-style="western">
              <surname>Caleb-Solly</surname>
              <given-names>P</given-names>
            </name>
            <name name-style="western">
              <surname>Matthews</surname>
              <given-names>P</given-names>
            </name>
            <name name-style="western">
              <surname>Farmer</surname>
              <given-names>A</given-names>
            </name>
            <name name-style="western">
              <surname>Mash</surname>
              <given-names>C</given-names>
            </name>
          </person-group>
          <article-title>Mental health app design: A journey from concept to completion</article-title>
          <year>2015</year>
          <conf-name>17th International Conference on Human-Computer Interaction with Mobile Devices and Services Adjunct - MobileHCI ’15</conf-name>
          <conf-date>August 24 - 27, 2015</conf-date>
          <conf-loc>Copenhagen, Denmark</conf-loc>
          <publisher-name>ACM Press</publisher-name>
          <fpage>582</fpage>
          <lpage>591</lpage>
          <pub-id pub-id-type="doi">10.1145/2786567.2787136</pub-id>
        </nlm-citation>
      </ref>
      <ref id="ref29">
        <label>29</label>
        <nlm-citation citation-type="journal">
          <person-group person-group-type="author">
            <name name-style="western">
              <surname>Huguet</surname>
              <given-names>A</given-names>
            </name>
            <name name-style="western">
              <surname>Rao</surname>
              <given-names>S</given-names>
            </name>
            <name name-style="western">
              <surname>McGrath</surname>
              <given-names>PJ</given-names>
            </name>
            <name name-style="western">
              <surname>Wozney</surname>
              <given-names>L</given-names>
            </name>
            <name name-style="western">
              <surname>Wheaton</surname>
              <given-names>M</given-names>
            </name>
            <name name-style="western">
              <surname>Conrod</surname>
              <given-names>J</given-names>
            </name>
            <name name-style="western">
              <surname>Rozario</surname>
              <given-names>S</given-names>
            </name>
          </person-group>
          <article-title>A Systematic Review of Cognitive Behavioral Therapy and Behavioral Activation Apps for Depression</article-title>
          <source>PLoS One</source>
          <year>2016</year>
          <volume>11</volume>
          <issue>5</issue>
          <fpage>e0154248</fpage>
          <comment>
            <ext-link ext-link-type="uri" xlink:type="simple" xlink:href="http://dx.plos.org/10.1371/journal.pone.0154248"/>
          </comment>
          <pub-id pub-id-type="doi">10.1371/journal.pone.0154248</pub-id>
          <pub-id pub-id-type="medline">27135410</pub-id>
          <pub-id pub-id-type="pii">PONE-D-15-42879</pub-id>
          <pub-id pub-id-type="pmcid">PMC4852920</pub-id>
        </nlm-citation>
      </ref>
      <ref id="ref30">
        <label>30</label>
        <nlm-citation citation-type="journal">
          <person-group person-group-type="author">
            <name name-style="western">
              <surname>Zhang</surname>
              <given-names>R</given-names>
            </name>
            <name name-style="western">
              <surname>Nicholas</surname>
              <given-names>J</given-names>
            </name>
            <name name-style="western">
              <surname>Knapp</surname>
              <given-names>AA</given-names>
            </name>
            <name name-style="western">
              <surname>Graham</surname>
              <given-names>AK</given-names>
            </name>
            <name name-style="western">
              <surname>Gray</surname>
              <given-names>E</given-names>
            </name>
            <name name-style="western">
              <surname>Kwasny</surname>
              <given-names>MJ</given-names>
            </name>
            <name name-style="western">
              <surname>Reddy</surname>
              <given-names>M</given-names>
            </name>
            <name name-style="western">
              <surname>Mohr</surname>
              <given-names>DC</given-names>
            </name>
          </person-group>
          <article-title>Clinically Meaningful Use of Mental Health Apps and its Effects on Depression: Mixed Methods Study</article-title>
          <source>J Med Internet Res</source>
          <year>2019</year>
          <month>12</month>
          <day>20</day>
          <volume>21</volume>
          <issue>12</issue>
          <fpage>e15644</fpage>
          <comment>
            <ext-link ext-link-type="uri" xlink:type="simple" xlink:href="https://www.jmir.org/2019/12/e15644/"/>
          </comment>
          <pub-id pub-id-type="doi">10.2196/15644</pub-id>
          <pub-id pub-id-type="medline">31859682</pub-id>
          <pub-id pub-id-type="pii">v21i12e15644</pub-id>
        </nlm-citation>
      </ref>
      <ref id="ref31">
        <label>31</label>
        <nlm-citation citation-type="journal">
          <person-group person-group-type="author">
            <name name-style="western">
              <surname>Rathbone</surname>
              <given-names>AL</given-names>
            </name>
            <name name-style="western">
              <surname>Clarry</surname>
              <given-names>L</given-names>
            </name>
            <name name-style="western">
              <surname>Prescott</surname>
              <given-names>J</given-names>
            </name>
          </person-group>
          <article-title>Assessing the Efficacy of Mobile Health Apps Using the Basic Principles of Cognitive Behavioral Therapy: Systematic Review</article-title>
          <source>J Med Internet Res</source>
          <year>2017</year>
          <month>11</month>
          <day>28</day>
          <volume>19</volume>
          <issue>11</issue>
          <fpage>e399</fpage>
          <comment>
            <ext-link ext-link-type="uri" xlink:type="simple" xlink:href="http://www.jmir.org/2017/11/e399/"/>
          </comment>
          <pub-id pub-id-type="doi">10.2196/jmir.8598</pub-id>
          <pub-id pub-id-type="medline">29187342</pub-id>
          <pub-id pub-id-type="pii">v19i11e399</pub-id>
        </nlm-citation>
      </ref>
      <ref id="ref32">
        <label>32</label>
        <nlm-citation citation-type="journal">
          <person-group person-group-type="author">
            <name name-style="western">
              <surname>Linardon</surname>
              <given-names>J</given-names>
            </name>
            <name name-style="western">
              <surname>Cuijpers</surname>
              <given-names>P</given-names>
            </name>
            <name name-style="western">
              <surname>Carlbring</surname>
              <given-names>P</given-names>
            </name>
            <name name-style="western">
              <surname>Messer</surname>
              <given-names>M</given-names>
            </name>
            <name name-style="western">
              <surname>Fuller-Tyszkiewicz</surname>
              <given-names>M</given-names>
            </name>
          </person-group>
          <article-title>The efficacy of app-supported smartphone interventions for mental health problems: a meta-analysis of randomized controlled trials</article-title>
          <source>World Psychiatry</source>
          <year>2019</year>
          <month>10</month>
          <volume>18</volume>
          <issue>3</issue>
          <fpage>325</fpage>
          <lpage>336</lpage>
          <comment>
            <ext-link ext-link-type="uri" xlink:type="simple" xlink:href="https://doi.org/10.1002/wps.20673"/>
          </comment>
          <pub-id pub-id-type="doi">10.1002/wps.20673</pub-id>
          <pub-id pub-id-type="medline">31496095</pub-id>
          <pub-id pub-id-type="pmcid">PMC6732686</pub-id>
        </nlm-citation>
      </ref>
      <ref id="ref33">
        <label>33</label>
        <nlm-citation citation-type="journal">
          <person-group person-group-type="author">
            <name name-style="western">
              <surname>Kroenke</surname>
              <given-names>K</given-names>
            </name>
            <name name-style="western">
              <surname>Spitzer</surname>
              <given-names>RL</given-names>
            </name>
            <name name-style="western">
              <surname>Williams</surname>
              <given-names>JB</given-names>
            </name>
          </person-group>
          <article-title>The PHQ-9: validity of a brief depression severity measure</article-title>
          <source>J Gen Intern Med</source>
          <year>2001</year>
          <month>09</month>
          <volume>16</volume>
          <issue>9</issue>
          <fpage>606</fpage>
          <lpage>13</lpage>
          <comment>
            <ext-link ext-link-type="uri" xlink:type="simple" xlink:href="http://europepmc.org/abstract/MED/11556941"/>
          </comment>
          <pub-id pub-id-type="medline">11556941</pub-id>
          <pub-id pub-id-type="pii">jgi01114</pub-id>
          <pub-id pub-id-type="pmcid">PMC1495268</pub-id>
        </nlm-citation>
      </ref>
      <ref id="ref34">
        <label>34</label>
        <nlm-citation citation-type="journal">
          <person-group person-group-type="author">
            <name name-style="western">
              <surname>Spitzer</surname>
              <given-names>RL</given-names>
            </name>
            <name name-style="western">
              <surname>Kroenke</surname>
              <given-names>K</given-names>
            </name>
            <name name-style="western">
              <surname>Williams</surname>
              <given-names>JBW</given-names>
            </name>
            <name name-style="western">
              <surname>Löwe</surname>
              <given-names>B</given-names>
            </name>
          </person-group>
          <article-title>A brief measure for assessing generalized anxiety disorder: the GAD-7</article-title>
          <source>Arch Intern Med</source>
          <year>2006</year>
          <month>05</month>
          <day>22</day>
          <volume>166</volume>
          <issue>10</issue>
          <fpage>1092</fpage>
          <lpage>7</lpage>
          <pub-id pub-id-type="doi">10.1001/archinte.166.10.1092</pub-id>
          <pub-id pub-id-type="medline">16717171</pub-id>
          <pub-id pub-id-type="pii">166/10/1092</pub-id>
        </nlm-citation>
      </ref>
      <ref id="ref35">
        <label>35</label>
        <nlm-citation citation-type="journal">
          <person-group person-group-type="author">
            <name name-style="western">
              <surname>Lewis</surname>
              <given-names>JR</given-names>
            </name>
          </person-group>
          <article-title>Usability: Lessons Learned … and Yet to Be Learned</article-title>
          <source>International Journal of Human-Computer Interaction</source>
          <year>2014</year>
          <volume>30</volume>
          <issue>9</issue>
          <fpage>663</fpage>
          <lpage>684</lpage>
          <pub-id pub-id-type="doi">10.1080/10447318.2014.930311</pub-id>
        </nlm-citation>
      </ref>
      <ref id="ref36">
        <label>36</label>
        <nlm-citation citation-type="confproc">
          <person-group person-group-type="author">
            <name name-style="western">
              <surname>Nielsen</surname>
              <given-names>J</given-names>
            </name>
            <name name-style="western">
              <surname>Landauer</surname>
              <given-names>TK</given-names>
            </name>
          </person-group>
          <article-title>A mathematical model of the finding of usability problems</article-title>
          <year>1993</year>
          <conf-name>SIGCHI conference on Human factors in computing systems - CHI ’93</conf-name>
          <conf-date>April 24 - 29, 1993</conf-date>
          <conf-loc>Amsterdam, Netherlands</conf-loc>
          <publisher-loc>Proceedings of the SIGCHI conference on Human factors in computing systems - CHI ’93 New York, New York, USA</publisher-loc>
          <publisher-name>ACM Press</publisher-name>
          <fpage>206</fpage>
          <lpage>213</lpage>
          <pub-id pub-id-type="doi">10.1145/169059.169166</pub-id>
        </nlm-citation>
      </ref>
      <ref id="ref37">
        <label>37</label>
        <nlm-citation citation-type="journal">
          <person-group person-group-type="author">
            <name name-style="western">
              <surname>Virzi</surname>
              <given-names>RA</given-names>
            </name>
          </person-group>
          <article-title>Refining the Test Phase of Usability Evaluation: How Many Subjects Is Enough?</article-title>
          <source>Hum Factors</source>
          <year>1992</year>
          <volume>34</volume>
          <issue>4</issue>
          <fpage>457</fpage>
          <lpage>468</lpage>
          <pub-id pub-id-type="doi">10.1177/001872089203400407</pub-id>
        </nlm-citation>
      </ref>
      <ref id="ref38">
        <label>38</label>
        <nlm-citation citation-type="web">
          <person-group person-group-type="author">
            <collab>Tobii Pro AB</collab>
          </person-group>
          <source>Tobii Pro Lab</source>
          <year>2020</year>
          <access-date>2020-01-10</access-date>
          <publisher-loc>Danderyd, Sweden</publisher-loc>
          <comment>
            <ext-link ext-link-type="uri" xlink:type="simple" xlink:href="https://www.tobiipro.com/">https://www.tobiipro.com/</ext-link>
          </comment>
        </nlm-citation>
      </ref>
      <ref id="ref39">
        <label>39</label>
        <nlm-citation citation-type="journal">
          <person-group person-group-type="author">
            <name name-style="western">
              <surname>Polson</surname>
              <given-names>PG</given-names>
            </name>
            <name name-style="western">
              <surname>Lewis</surname>
              <given-names>C</given-names>
            </name>
            <name name-style="western">
              <surname>Rieman</surname>
              <given-names>J</given-names>
            </name>
            <name name-style="western">
              <surname>Wharton</surname>
              <given-names>C</given-names>
            </name>
          </person-group>
          <article-title>Cognitive walkthroughs: a method for theory-based evaluation of user interfaces</article-title>
          <source>International Journal of Man-Machine Studies</source>
          <year>1992</year>
          <month>5</month>
          <volume>36</volume>
          <issue>5</issue>
          <fpage>741</fpage>
          <lpage>773</lpage>
          <pub-id pub-id-type="doi">10.1016/0020-7373(92)90039-n</pub-id>
        </nlm-citation>
      </ref>
      <ref id="ref40">
        <label>40</label>
        <nlm-citation citation-type="confproc">
          <person-group person-group-type="author">
            <name name-style="western">
              <surname>Chin</surname>
              <given-names>JP</given-names>
            </name>
            <name name-style="western">
              <surname>Diehl</surname>
              <given-names>VA</given-names>
            </name>
            <name name-style="western">
              <surname>Norman</surname>
              <given-names>LK</given-names>
            </name>
          </person-group>
          <article-title>Development of an instrument measuring user satisfaction of the human-computer interface</article-title>
          <year>1988</year>
          <conf-name>SIGCHI conference on Human factors in computing systems - CHI  ’88</conf-name>
          <conf-date>May 15 - 19, 1988</conf-date>
          <conf-loc>Washington D.C</conf-loc>
          <publisher-loc>Proceedings of the SIGCHI conference on Human factors in computing systems - CHI ’88 New York, New York, USA</publisher-loc>
          <publisher-name>ACM Press</publisher-name>
          <fpage>213</fpage>
          <lpage>218</lpage>
          <pub-id pub-id-type="doi">10.1145/57167.57203</pub-id>
        </nlm-citation>
      </ref>
      <ref id="ref41">
        <label>41</label>
        <nlm-citation citation-type="web">
          <source>IBM SPSS Statistics for Windows</source>
          <year>2019</year>
          <access-date>2020-10-12</access-date>
          <publisher-loc>Armonk, NY</publisher-loc>
          <publisher-name>IBM Corp</publisher-name>
          <comment>
            <ext-link ext-link-type="uri" xlink:type="simple" xlink:href="https://www.ibm.com/products/spss-statistics">https://www.ibm.com/products/spss-statistics</ext-link>
          </comment>
        </nlm-citation>
      </ref>
      <ref id="ref42">
        <label>42</label>
        <nlm-citation citation-type="web">
          <person-group person-group-type="author">
            <name name-style="western">
              <surname>Fessenden</surname>
              <given-names>T</given-names>
            </name>
            <collab>Nielsen Norman Group</collab>
          </person-group>
          <source>Horizontal Attention Leans Left</source>
          <year>2017</year>
          <access-date>2020-09-16</access-date>
          <comment>
            <ext-link ext-link-type="uri" xlink:type="simple" xlink:href="https://www.nngroup.com/articles/horizontal-attention-leans-left/">https://www.nngroup.com/articles/horizontal-attention-leans-left/</ext-link>
          </comment>
        </nlm-citation>
      </ref>
      <ref id="ref43">
        <label>43</label>
        <nlm-citation citation-type="journal">
          <person-group person-group-type="author">
            <name name-style="western">
              <surname>Fitts</surname>
              <given-names>PM</given-names>
            </name>
          </person-group>
          <article-title>The information capacity of the human motor system in controlling the amplitude of movement</article-title>
          <source>J Exp Psychol</source>
          <year>1954</year>
          <month>06</month>
          <volume>47</volume>
          <issue>6</issue>
          <fpage>381</fpage>
          <lpage>91</lpage>
          <pub-id pub-id-type="medline">13174710</pub-id>
        </nlm-citation>
      </ref>
      <ref id="ref44">
        <label>44</label>
        <nlm-citation citation-type="journal">
          <person-group person-group-type="author">
            <name name-style="western">
              <surname>Baumel</surname>
              <given-names>A</given-names>
            </name>
            <name name-style="western">
              <surname>Muench</surname>
              <given-names>F</given-names>
            </name>
            <name name-style="western">
              <surname>Edan</surname>
              <given-names>S</given-names>
            </name>
            <name name-style="western">
              <surname>Kane</surname>
              <given-names>JM</given-names>
            </name>
          </person-group>
          <article-title>Objective User Engagement With Mental Health Apps: Systematic Search and Panel-Based Usage Analysis</article-title>
          <source>J Med Internet Res</source>
          <year>2019</year>
          <month>09</month>
          <day>25</day>
          <volume>21</volume>
          <issue>9</issue>
          <fpage>e14567</fpage>
          <comment>
            <ext-link ext-link-type="uri" xlink:type="simple" xlink:href="https://www.jmir.org/2019/9/e14567/"/>
          </comment>
          <pub-id pub-id-type="doi">10.2196/14567</pub-id>
          <pub-id pub-id-type="medline">31573916</pub-id>
          <pub-id pub-id-type="pii">v21i9e14567</pub-id>
          <pub-id pub-id-type="pmcid">PMC6785720</pub-id>
        </nlm-citation>
      </ref>
      <ref id="ref45">
        <label>45</label>
        <nlm-citation citation-type="journal">
          <person-group person-group-type="author">
            <name name-style="western">
              <surname>White</surname>
              <given-names>S</given-names>
            </name>
            <name name-style="western">
              <surname>Chen</surname>
              <given-names>J</given-names>
            </name>
            <name name-style="western">
              <surname>Atchison</surname>
              <given-names>R</given-names>
            </name>
          </person-group>
          <article-title>Relationship of preventive health practices and health literacy: a national study</article-title>
          <source>Am J Health Behav</source>
          <year>2008</year>
          <volume>32</volume>
          <issue>3</issue>
          <fpage>227</fpage>
          <lpage>42</lpage>
          <pub-id pub-id-type="doi">10.5555/ajhb.2008.32.3.227</pub-id>
          <pub-id pub-id-type="medline">18067463</pub-id>
        </nlm-citation>
      </ref>
      <ref id="ref46">
        <label>46</label>
        <nlm-citation citation-type="journal">
          <person-group person-group-type="author">
            <name name-style="western">
              <surname>McCleary-Jones</surname>
              <given-names>V</given-names>
            </name>
            <name name-style="western">
              <surname>Scheideman-Miller</surname>
              <given-names>C</given-names>
            </name>
            <name name-style="western">
              <surname>Rev Dorn</surname>
              <given-names>JA</given-names>
            </name>
            <name name-style="western">
              <surname>Johnson</surname>
              <given-names>B</given-names>
            </name>
            <name name-style="western">
              <surname>Overall</surname>
              <given-names>M</given-names>
            </name>
            <name name-style="western">
              <surname>Dwyer</surname>
              <given-names>K</given-names>
            </name>
          </person-group>
          <article-title>Health information technology use and health literacy among community-dwelling African Americans</article-title>
          <source>ABNF J</source>
          <year>2013</year>
          <volume>24</volume>
          <issue>1</issue>
          <fpage>10</fpage>
          <lpage>16</lpage>
          <pub-id pub-id-type="medline">23589966</pub-id>
        </nlm-citation>
      </ref>
      <ref id="ref47">
        <label>47</label>
        <nlm-citation citation-type="confproc">
          <person-group person-group-type="author">
            <name name-style="western">
              <surname>Hur</surname>
              <given-names>I</given-names>
            </name>
            <name name-style="western">
              <surname>Lee</surname>
              <given-names>R</given-names>
            </name>
            <name name-style="western">
              <surname>Schmidt</surname>
              <given-names>JJ</given-names>
            </name>
          </person-group>
          <article-title>How healthcare technology shapes health literacy? A systematic review</article-title>
          <year>2015</year>
          <conf-name>2015 Americas' Conference on Information System</conf-name>
          <conf-date>August 13-15, 2015</conf-date>
          <conf-loc>Fajardo, Puerto Rico</conf-loc>
        </nlm-citation>
      </ref>
      <ref id="ref48">
        <label>48</label>
        <nlm-citation citation-type="journal">
          <person-group person-group-type="author">
            <name name-style="western">
              <surname>Goedhart</surname>
              <given-names>NS</given-names>
            </name>
            <name name-style="western">
              <surname>Zuiderent-Jerak</surname>
              <given-names>T</given-names>
            </name>
            <name name-style="western">
              <surname>Woudstra</surname>
              <given-names>J</given-names>
            </name>
            <name name-style="western">
              <surname>Broerse</surname>
              <given-names>JEW</given-names>
            </name>
            <name name-style="western">
              <surname>Betten</surname>
              <given-names>AW</given-names>
            </name>
            <name name-style="western">
              <surname>Dedding</surname>
              <given-names>C</given-names>
            </name>
          </person-group>
          <article-title>Persistent inequitable design and implementation of patient portals for users at the margins</article-title>
          <source>J Am Med Inform Assoc</source>
          <year>2021</year>
          <month>02</month>
          <day>15</day>
          <volume>28</volume>
          <issue>2</issue>
          <fpage>276</fpage>
          <lpage>283</lpage>
          <pub-id pub-id-type="doi">10.1093/jamia/ocaa273</pub-id>
          <pub-id pub-id-type="medline">33463691</pub-id>
          <pub-id pub-id-type="pii">6104358</pub-id>
          <pub-id pub-id-type="pmcid">PMC7883982</pub-id>
        </nlm-citation>
      </ref>
      <ref id="ref49">
        <label>49</label>
        <nlm-citation citation-type="journal">
          <person-group person-group-type="author">
            <name name-style="western">
              <surname>Veinot</surname>
              <given-names>TC</given-names>
            </name>
            <name name-style="western">
              <surname>Mitchell</surname>
              <given-names>H</given-names>
            </name>
            <name name-style="western">
              <surname>Ancker</surname>
              <given-names>JS</given-names>
            </name>
          </person-group>
          <article-title>Good intentions are not enough: how informatics interventions can worsen inequality</article-title>
          <source>J Am Med Inform Assoc</source>
          <year>2018</year>
          <month>08</month>
          <day>01</day>
          <volume>25</volume>
          <issue>8</issue>
          <fpage>1080</fpage>
          <lpage>1088</lpage>
          <pub-id pub-id-type="doi">10.1093/jamia/ocy052</pub-id>
          <pub-id pub-id-type="medline">29788380</pub-id>
          <pub-id pub-id-type="pii">4996916</pub-id>
        </nlm-citation>
      </ref>
      <ref id="ref50">
        <label>50</label>
        <nlm-citation citation-type="journal">
          <person-group person-group-type="author">
            <name name-style="western">
              <surname>Hilty</surname>
              <given-names>DM</given-names>
            </name>
            <name name-style="western">
              <surname>Ferrer</surname>
              <given-names>DC</given-names>
            </name>
            <name name-style="western">
              <surname>Parish</surname>
              <given-names>MB</given-names>
            </name>
            <name name-style="western">
              <surname>Johnston</surname>
              <given-names>B</given-names>
            </name>
            <name name-style="western">
              <surname>Callahan</surname>
              <given-names>EJ</given-names>
            </name>
            <name name-style="western">
              <surname>Yellowlees</surname>
              <given-names>PM</given-names>
            </name>
          </person-group>
          <article-title>The effectiveness of telemental health: a 2013 review</article-title>
          <source>Telemed J E Health</source>
          <year>2013</year>
          <month>06</month>
          <volume>19</volume>
          <issue>6</issue>
          <fpage>444</fpage>
          <lpage>54</lpage>
          <comment>
            <ext-link ext-link-type="uri" xlink:type="simple" xlink:href="http://europepmc.org/abstract/MED/23697504"/>
          </comment>
          <pub-id pub-id-type="doi">10.1089/tmj.2013.0075</pub-id>
          <pub-id pub-id-type="medline">23697504</pub-id>
          <pub-id pub-id-type="pmcid">PMC3662387</pub-id>
        </nlm-citation>
      </ref>
      <ref id="ref51">
        <label>51</label>
        <nlm-citation citation-type="journal">
          <person-group person-group-type="author">
            <name name-style="western">
              <surname>McCall</surname>
              <given-names>T</given-names>
            </name>
            <name name-style="western">
              <surname>Schwartz</surname>
              <given-names>TA</given-names>
            </name>
            <name name-style="western">
              <surname>Khairat</surname>
              <given-names>S</given-names>
            </name>
          </person-group>
          <article-title>The Acceptability of Text Messaging to Help African American Women Manage Anxiety and Depression: Cross-Sectional Survey Study</article-title>
          <source>JMIR Ment Health</source>
          <year>2020</year>
          <month>02</month>
          <day>03</day>
          <volume>7</volume>
          <issue>2</issue>
          <fpage>e15801</fpage>
          <comment>
            <ext-link ext-link-type="uri" xlink:type="simple" xlink:href="https://mental.jmir.org/2020/2/e15801/"/>
          </comment>
          <pub-id pub-id-type="doi">10.2196/15801</pub-id>
          <pub-id pub-id-type="medline">31909720</pub-id>
          <pub-id pub-id-type="pii">v7i2e15801</pub-id>
          <pub-id pub-id-type="pmcid">PMC7055826</pub-id>
        </nlm-citation>
      </ref>
      <ref id="ref52">
        <label>52</label>
        <nlm-citation citation-type="web">
          <person-group person-group-type="author">
            <collab>American Psychological Association</collab>
          </person-group>
          <source>Demographics of the U.S. psychology workforce: Findings from the 2007-16 American Community Survey</source>
          <year>2018</year>
          <access-date>2020-07-03</access-date>
          <publisher-loc>Washington, DC</publisher-loc>
          <comment>
            <ext-link ext-link-type="uri" xlink:type="simple" xlink:href="https://www.apa.org/workforce/publications/16-demographics/report.pdf">https://www.apa.org/workforce/publications/16-demographics/report.pdf</ext-link>
          </comment>
        </nlm-citation>
      </ref>
    </ref-list>
  </back>
</article>
