<?xml version="1.0" encoding="UTF-8"?><!DOCTYPE article PUBLIC "-//NLM//DTD Journal Publishing DTD v2.0 20040830//EN" "journalpublishing.dtd"><article xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink" dtd-version="2.0" xml:lang="en" article-type="research-article"><front><journal-meta><journal-id journal-id-type="nlm-ta">JMIR Form Res</journal-id><journal-id journal-id-type="publisher-id">formative</journal-id><journal-id journal-id-type="index">27</journal-id><journal-title>JMIR Formative Research</journal-title><abbrev-journal-title>JMIR Form Res</abbrev-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">v8i1e59837</article-id><article-id pub-id-type="doi">10.2196/59837</article-id><article-categories><subj-group subj-group-type="heading"><subject>Original Paper</subject></subj-group></article-categories><title-group><article-title>Willingness to Be Contacted via a Patient Portal for Health Screening, Research Recruitment, and at-Home Self-Test Kits for Health Monitoring: Pilot Quantitative Survey</article-title></title-group><contrib-group><contrib contrib-type="author" corresp="yes"><name name-style="western"><surname>Lockhart</surname><given-names>Elizabeth</given-names></name><degrees>MPH, PhD</degrees><xref ref-type="aff" rid="aff1">1</xref></contrib><contrib contrib-type="author"><name name-style="western"><surname>Gootee</surname><given-names>Jordan</given-names></name><degrees>BA</degrees><xref ref-type="aff" rid="aff1">1</xref></contrib><contrib contrib-type="author"><name name-style="western"><surname>Copeland</surname><given-names>Leah</given-names></name><degrees>BA</degrees><xref ref-type="aff" rid="aff1">1</xref></contrib><contrib contrib-type="author"><name name-style="western"><surname>Turner</surname><given-names>DeAnne</given-names></name><degrees>MPH, PhD</degrees><xref ref-type="aff" rid="aff2">2</xref></contrib></contrib-group><aff id="aff1"><institution>Public Health Sciences, Michigan State University + Henry Ford Health</institution>, <addr-line>1 Ford Place, Suite 5E</addr-line><addr-line>Detroit</addr-line><addr-line>MI</addr-line>, <country>United States</country></aff><aff id="aff2"><institution>College of Nursing, University of South Florida</institution>, <addr-line>Tampa</addr-line><addr-line>FL</addr-line>, <country>United States</country></aff><contrib-group><contrib contrib-type="editor"><name name-style="western"><surname>Mavragani</surname><given-names>Amaryllis</given-names></name></contrib></contrib-group><contrib-group><contrib contrib-type="reviewer"><name name-style="western"><surname>Hull</surname><given-names>Leland E</given-names></name></contrib><contrib contrib-type="reviewer"><name name-style="western"><surname>Gordon</surname><given-names>Nancy</given-names></name></contrib></contrib-group><author-notes><corresp>Correspondence to Elizabeth Lockhart, MPH, PhD, Public Health Sciences, Michigan State University + Henry Ford Health, 1 Ford Place, Suite 5E, Detroit, MI, 48202, United States, 1 3137997237; <email>elockha1@hfhs.org</email></corresp></author-notes><pub-date pub-type="collection"><year>2024</year></pub-date><pub-date pub-type="epub"><day>22</day><month>11</month><year>2024</year></pub-date><volume>8</volume><elocation-id>e59837</elocation-id><history><date date-type="received"><day>06</day><month>05</month><year>2024</year></date><date date-type="rev-recd"><day>24</day><month>09</month><year>2024</year></date><date date-type="accepted"><day>25</day><month>09</month><year>2024</year></date></history><copyright-statement>&#x00A9; Elizabeth Lockhart, Jordan Gootee, Leah Copeland, DeAnne Turner. Originally published in JMIR Formative Research (<ext-link ext-link-type="uri" xlink:href="https://formative.jmir.org">https://formative.jmir.org</ext-link>), 22.11.2024. </copyright-statement><copyright-year>2024</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 (<ext-link ext-link-type="uri" xlink:href="https://creativecommons.org/licenses/by/4.0/">https://creativecommons.org/licenses/by/4.0/</ext-link>), 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 <ext-link ext-link-type="uri" xlink:href="https://formative.jmir.org">https://formative.jmir.org</ext-link>, as well as this copyright and license information must be included.</p></license><self-uri xlink:type="simple" xlink:href="https://formative.jmir.org/2024/1/e59837"/><abstract><sec><title>Background</title><p>Patient portals are being increasingly used by health systems in the United States. Although some patients use portals for clinical use, patient perspectives on using portals for research-related activities, to complete health screenings, and to request at-home self-test kits are unclear.</p></sec><sec><title>Objective</title><p>We aimed to understand patient perspectives on using electronic health portals for research; health-related screenings; and patient-initiated, home-based self-testing.</p></sec><sec sec-type="methods"><title>Methods</title><p>Patients (N=105) from the Patient Engaged Research Center at a large, urban, midwestern health system completed a 23-item web-based survey on patient portal (MyChart) use and willingness to use the patient portal for research, risk assessments, and self-test kits. Frequencies and percentages were generated.</p></sec><sec sec-type="results"><title>Results</title><p>Almost all participants (102/105, 97.1%) had accessed MyChart at least once, with most (44/102, 43.1%) indicating they logged in at least once per month. Participants indicated logging into MyChart to check laboratory results or other health data (89/105, 84.8%), because they received a message to log in (85/105, 81%), and to message their health care professional (83/105, 79%). Fewer participants logged in to see what medications they had been prescribed (16/105, 15.2%) and to learn more about their health conditions (29/105, 27.6%). Most participants indicated logging into MyChart on a computer via a website (70/105, 66.7%) or on a smartphone via an app (54/105, 51.4%). When asked about how likely they would be to participate in different types of research if contacted via MyChart, most (90/105, 85.7%) said they would be likely to answer a survey, fill out a health assessment (87/105, 82.9%), or watch a video (86/105, 81.9%). Finally, participants would be willing to answer risk assessment questions on MyChart regarding sleep (74/101, 73.3%), stress (65/105, 61.9%), diabetes (60/105, 57.1%), anxiety (59/105, 56.2%), and depression (54/105, 51.4%) and would be interested in receiving an at-home self-test kit for COVID-19 (66/105, 62.9%), cholesterol (63/105, 60%), colon cancer (62/105, 59%), and allergies (56/105, 53.3%). There were no significant demographic differences for any results (all <italic>P</italic> values were &#x003E;.05).</p></sec><sec sec-type="conclusions"><title>Conclusions</title><p>Patient portals may be used for research recruitment; sending research-related information; and engaging patients to answer risk assessments, read about health information, and complete other clinical tasks. The lack of significant findings based on race and gender suggests that patient portals may be acceptable tools for recruiting research participants and conducting research. Allowing patients to request self-test kits and complete risk assessments in portals may help patients to take agency over their health care. Future research should examine if patient portal recruitment may help address persistent biases in clinical trial recruitment to increase enrollment of women and racial minority groups.</p></sec></abstract><kwd-group><kwd>patient portals</kwd><kwd>patient engagement</kwd><kwd>personal health records</kwd><kwd>risk assessments</kwd><kwd>health information</kwd><kwd>information access</kwd><kwd>open notes</kwd><kwd>user perceptions</kwd></kwd-group></article-meta></front><body><sec id="s1" sec-type="intro"><title>Introduction</title><p>Patient portals are widely implemented throughout health care systems in the United States. As part of the 2014 Cures Act [<xref ref-type="bibr" rid="ref1">1</xref>], these secure, web-based applications can give patients convenient access to their personal health information anytime they have access to an internet connection. In 2020, about 60% of individuals in the United States were offered access to a patient portal, and almost 40% accessed one [<xref ref-type="bibr" rid="ref2">2</xref>]; however, national data regarding access and use of patient portals in the United States after the COVID-19 pandemic have not yet been released.</p><p>Patients use patient portals for a variety of clinical functions, including viewing laboratory results, requesting refills, messaging health care professionals, requesting appointments, and viewing educational materials related to their health care and self-management improvement [<xref ref-type="bibr" rid="ref2">2</xref>,<xref ref-type="bibr" rid="ref3">3</xref>]. Patients&#x2019; willingness to use portals may be influenced by their age, ethnicity, education level, health literacy, and health status [<xref ref-type="bibr" rid="ref4">4</xref>,<xref ref-type="bibr" rid="ref5">5</xref>]. Some barriers, such as concerns regarding confidentiality [<xref ref-type="bibr" rid="ref6">6</xref>], preferring to speak directly with their physician [<xref ref-type="bibr" rid="ref7">7</xref>,<xref ref-type="bibr" rid="ref8">8</xref>], and technology access [<xref ref-type="bibr" rid="ref3">3</xref>], also limit an individual&#x2019;s engagement with patient portals.</p><p>Increasing the scope of functions within a patient portal may help facilitate patient access to health care, increase engagement, and allow patients to take agency over their health care. Despite their potential, portals have been underused for providing access to screenings, risk assessments, and patient-initiated self-test kits. Offering self-testing in portals provides increased access to health care for patients who may have transportation issues or fear entering a health facility in person for stigmatized conditions, such as HIV and sexually transmitted infections. In addition to clinical use, portals have the potential to be used to recruit patients for participation in research studies [<xref ref-type="bibr" rid="ref9">9</xref>]. Patients have reported a preference for being contacted for research opportunities via electronic methods [<xref ref-type="bibr" rid="ref10">10</xref>]. However, recruitment rates via patient portals vary; some studies reported recruiting fewer patients [<xref ref-type="bibr" rid="ref11">11</xref>] when using patient portals versus other methods (eg, over the phone, in person, and via letters), while others were able to enroll more patients [<xref ref-type="bibr" rid="ref12">12</xref>]. Additionally, the impact of patient portals on equitable recruitment is unclear. Research has found that White patients, when recruited via portals, are more likely to participate in research compared to Black, Hispanic, or Asian patients [<xref ref-type="bibr" rid="ref13">13</xref>]. However, the increased engagement with patient portals among racial and ethnic minority patient groups following the onset of the COVID-19 pandemic [<xref ref-type="bibr" rid="ref14">14</xref>] has the potential to increase exposure to recruitment and participation in research. The types of research that patients would participate in if approached via a patient portal are unclear; it is also unclear if patients would be willing to complete research tasks within the portal itself.</p><p>Patient portals offer a variety of benefits to patients, but opportunities remain to broaden their use. Patients would benefit from further access to these portals and possibly even broader utilization of what patient portals can offer, such as answering risk assessments and self-testing. Further research is needed to determine patient preferences for using portals and health conditions for which patients may be willing to use patient portals. This exploratory work examines how patients view patient portals for screening, risk assessments, self-testing, and research.</p></sec><sec id="s2" sec-type="methods"><title>Methods</title><sec id="s2-1"><title>Study Population and Participant Recruitment</title><p>Participants were recruited from a convenience sample within the Patient Engaged Research Center (PERC) at Henry Ford Health to participate in a brief electronic survey. Any person with experience as a patient or caregiver could become a patient advisor within the PERC by completing an application, phone screen, and onboarding workshop. The role of a patient advisor includes, but is not limited to, providing feedback about ways to improve health care. A Qualtrics (Qualtrics International Inc) link for the survey was initially sent to all 406 patient advisors via email and a monthly electronic newsletter; 105 responded and completed the survey. Reminder emails were sent to patients approximately 2 weeks and 4 weeks after the initial email to remind those who had not yet completed the survey.</p></sec><sec id="s2-2"><title>Survey Instrument</title><p>A total of 23 questions were developed by the research team regarding the patient portal (MyChart; Epic Systems Corporation), including questions about using the patient portal for research purposes and for requesting self-test kits for health. Participants were asked to provide information on their race (Black, White, American Indian or Alaska Native, or Native Hawaiian or Pacific Islander), age, marital status (married, widowed, divorced, separated, or never married), and gender (male, female, nonbinary, another gender, or prefer not to say).</p><p>Responses to questions regarding reading information about health conditions on MyChart, answering screening questions on MyChart, and whether participants would likely participate in research if contacted via MyChart were measured on a 5-point Likert scale (extremely likely to extremely unlikely). Participants were asked if they had ever heard of preexposure prophylaxis (yes, no, or unsure) and which method of HIV testing they would prefer (at the doctor&#x2019;s office, taking a home-based test on their own, or not wanting or needing an HIV test). Participants were also asked how they access MyChart, which health topics (diabetes, blood pressure, HIV, drug use, alcohol use, tobacco use, cancer, cholesterol, depression, stress, anxiety, physical activity, diet, sleep, asthma, use of seat belts, immunizations, and sexual history) they would be willing to answer questions about in MyChart, and which self-test kits (colon cancer, COVID-19, HIV, sexually transmitted infections, allergies, cholesterol, influenza, urinary tract infections, alcohol use, and illicit drug use) they would be interested in receiving if they were provided free of charge.</p></sec><sec id="s2-3"><title>Data Analysis</title><p>All data were exported, cleaned, and uploaded into SPSS (IBM Corp). Frequencies and descriptive statistics were generated. Chi-square tests were run to examine whether significant differences existed among demographic variables.</p></sec><sec id="s2-4"><title>Ethical Considerations</title><p>The PERC is covered by an overarching institutional review board (IRB) approval at Henry Ford Health (IRB#16766) for patient advisors to fill out surveys and provide preliminary feedback. This study was covered under a blanket IRB approval for research conducted among PERC patient advisors and was considered preparatory to research; participants did not need to sign a consent form. All study data were deidentified. Anyone who completed the survey and indicated interest was entered into a raffle for three US $75 gift cards.</p></sec></sec><sec id="s3" sec-type="results"><title>Results</title><sec id="s3-1"><title>Participant Characteristics</title><p>Participants were on average 57 (SD 14.35) years old (<xref ref-type="table" rid="table1">Table 1</xref>). Most identified as White (69/105, 65.7%) and female (80/105, 76.2%). Over half were married (60/105, 57.1%). For all results presented, there were no significant differences in responses by gender or race (all <italic>P</italic> values were &#x003E;.05). All participant characteristics can be found in <xref ref-type="table" rid="table1">Table 1</xref>.</p><table-wrap id="t1" position="float"><label>Table 1.</label><caption><p>Participant characteristics (total sample: N=105).</p></caption><table id="table1" frame="hsides" rules="groups"><thead><tr><td align="left" valign="bottom" colspan="2">Characteristics</td><td align="left" valign="bottom">Participants, n (%)</td></tr></thead><tbody><tr><td align="left" valign="top" colspan="3">Gender</td></tr><tr><td align="left" valign="top"/><td align="left" valign="top">Male</td><td align="left" valign="top">23 (21.9)</td></tr><tr><td align="left" valign="top"/><td align="left" valign="top">Female</td><td align="left" valign="top">80 (76.2)</td></tr><tr><td align="left" valign="top"/><td align="left" valign="top">Nonbinary/other</td><td align="left" valign="top">2 (1.9)</td></tr><tr><td align="left" valign="top" colspan="3">Age (years)</td></tr><tr><td align="left" valign="top"/><td align="left" valign="top">18&#x2010;24</td><td align="left" valign="top">2 (1.9)</td></tr><tr><td align="left" valign="top"/><td align="left" valign="top">25&#x2010;44</td><td align="left" valign="top">17 (16.2)</td></tr><tr><td align="left" valign="top"/><td align="left" valign="top">45&#x2010;64</td><td align="left" valign="top">49 (46.7)</td></tr><tr><td align="left" valign="top"/><td align="left" valign="top">&#x2265;65</td><td align="left" valign="top">37 (35.2)</td></tr><tr><td align="left" valign="top" colspan="3">Race and ethnicity</td></tr><tr><td align="left" valign="top"/><td align="left" valign="top">White</td><td align="left" valign="top">69 (65.7)</td></tr><tr><td align="left" valign="top"/><td align="left" valign="top">Black</td><td align="left" valign="top">31 (29.5)</td></tr><tr><td align="left" valign="top"/><td align="left" valign="top">Another race</td><td align="left" valign="top">5 (4.8)</td></tr><tr><td align="left" valign="top" colspan="3">Marital status</td></tr><tr><td align="left" valign="top"/><td align="left" valign="top">Married</td><td align="left" valign="top">60 (57.1)</td></tr><tr><td align="left" valign="top"/><td align="left" valign="top">Widowed</td><td align="left" valign="top">6 (5.7)</td></tr><tr><td align="left" valign="top"/><td align="left" valign="top">Divorced</td><td align="left" valign="top">18 (17.1)</td></tr><tr><td align="left" valign="top"/><td align="left" valign="top">Never married</td><td align="left" valign="top">21 (20)</td></tr><tr><td align="left" valign="top" colspan="2">Ever accessed MyChart</td><td align="left" valign="top">102 (97.1)</td></tr></tbody></table></table-wrap></sec><sec id="s3-2"><title>Patient Portal Usage</title><p>Almost all participants had accessed MyChart (102/105, 97.1%), with the majority accessing it at least once per month (44/102, 43.1%). There were various reasons why patients used MyChart, and patients reported various methods of accessing MyChart (<xref ref-type="table" rid="table2">Table 2</xref>).</p><table-wrap id="t2" position="float"><label>Table 2.</label><caption><p>Frequency of logging into, reasons to log into, and methods of accessing MyChart.</p></caption><table id="table2" frame="hsides" rules="groups"><thead><tr><td align="left" valign="top" colspan="2"/><td align="left" valign="top">Participants, n (%)<sup><xref ref-type="table-fn" rid="table2fn1">a</xref></sup></td></tr></thead><tbody><tr><td align="left" valign="top" colspan="3">Frequency of MyChart log-in</td></tr><tr><td align="left" valign="top"/><td align="left" valign="top">Daily</td><td align="left" valign="top">6 (5.9)</td></tr><tr><td align="left" valign="top"/><td align="left" valign="top">At least once a week</td><td align="left" valign="top">30 (29.4)</td></tr><tr><td align="left" valign="top"/><td align="left" valign="top">At least once a month</td><td align="left" valign="top">44 (43.1)</td></tr><tr><td align="left" valign="top"/><td align="left" valign="top">At least once within 6 months</td><td align="left" valign="top">17 (16.7)</td></tr><tr><td align="left" valign="top"/><td align="left" valign="top">At least once a year</td><td align="left" valign="top">3 (2.9)</td></tr><tr><td align="left" valign="top"/><td align="left" valign="top">Never</td><td align="left" valign="top">2 (2)</td></tr><tr><td align="left" valign="top" colspan="3">Reasons to log into MyChart</td></tr><tr><td align="left" valign="top"/><td align="left" valign="top">Because I received a message/text/email to log in</td><td align="left" valign="top">85 (81)</td></tr><tr><td align="left" valign="top"/><td align="left" valign="top">To pay a bill</td><td align="left" valign="top">51 (48.6)</td></tr><tr><td align="left" valign="top"/><td align="left" valign="top">To message my provider</td><td align="left" valign="top">83 (79)</td></tr><tr><td align="left" valign="top"/><td align="left" valign="top">To schedule/reschedule an appointment</td><td align="left" valign="top">62 (59)</td></tr><tr><td align="left" valign="top"/><td align="left" valign="top">To check laboratory results/other health data</td><td align="left" valign="top">89 (84.8)</td></tr><tr><td align="left" valign="top"/><td align="left" valign="top">To refill medication</td><td align="left" valign="top">40 (38.1)</td></tr><tr><td align="left" valign="top"/><td align="left" valign="top">To learn more about health conditions</td><td align="left" valign="top">29 (27.6)</td></tr><tr><td align="left" valign="top"/><td align="left" valign="top">To see which medications I have been prescribed</td><td align="left" valign="top">16 (15.2)</td></tr><tr><td align="left" valign="top" colspan="3">Methods of accessing MyChart</td></tr><tr><td align="left" valign="top"/><td align="left" valign="top">On a smartphone via the app</td><td align="left" valign="top">54 (51.4)</td></tr><tr><td align="left" valign="top"/><td align="left" valign="top">On a smartphone via the website</td><td align="left" valign="top">27 (25.7)</td></tr><tr><td align="left" valign="top"/><td align="left" valign="top">On a computer via the website</td><td align="left" valign="top">70 (66.7)</td></tr><tr><td align="left" valign="top"/><td align="left" valign="top">On a tablet via the app</td><td align="left" valign="top">13 (12.4)</td></tr><tr><td align="left" valign="top"/><td align="left" valign="top">On a tablet via the website</td><td align="left" valign="top">10 (9.5)</td></tr></tbody></table><table-wrap-foot><fn id="table2fn1"><p><sup>a</sup>Participants could select more than 1 option or none. As such, n values and percentages do not add up to 105 and 100%, respectively, at all instances.</p></fn></table-wrap-foot></table-wrap></sec><sec id="s3-3"><title>Research via Patient Portal</title><p>Participants were likely to participate in different types of research if they were contacted by researchers in MyChart, including answering surveys, watching videos, and completing health assessments. They were also willing to answer questions to assess their risk for health conditions, including diabetes, HIV, and substance use (<xref ref-type="table" rid="table3">Table 3</xref>).</p><table-wrap id="t3" position="float"><label>Table 3.</label><caption><p>Participants&#x2019; willingness to participate in research and risk assessments in MyChart and preferences for research recruitment.</p></caption><table id="table3" frame="hsides" rules="groups"><thead><tr><td align="left" valign="top" colspan="2"/><td align="left" valign="top">Participants, n (%)<sup><xref ref-type="table-fn" rid="table3fn1">a</xref></sup></td></tr></thead><tbody><tr><td align="left" valign="top" colspan="3">Somewhat or very likely to participate in research if contacted via MyChart</td></tr><tr><td align="left" valign="top"/><td align="left" valign="top">Answer a survey</td><td align="left" valign="top">90 (85.7)</td></tr><tr><td align="left" valign="top"/><td align="left" valign="top">Watch a video</td><td align="left" valign="top">86 (81.9)</td></tr><tr><td align="left" valign="top"/><td align="left" valign="top">Fill out a health assessment</td><td align="left" valign="top">87 (82.9)</td></tr><tr><td align="left" valign="top"/><td align="left" valign="top">Research that involves a medical device</td><td align="left" valign="top">66 (62.9)</td></tr><tr><td align="left" valign="top"/><td align="left" valign="top">To give biomedical samples (blood, saliva, hair sample)</td><td align="left" valign="top">72 (68.6)</td></tr><tr><td align="left" valign="top" colspan="3">Most favored way to hear about research studies</td></tr><tr><td align="left" valign="top"/><td align="left" valign="top">MyChart message</td><td align="left" valign="top">38 (38.8)</td></tr><tr><td align="left" valign="top"/><td align="left" valign="top">Text message</td><td align="left" valign="top">12 (12.9)</td></tr><tr><td align="left" valign="top"/><td align="left" valign="top">Telephone call</td><td align="left" valign="top">3 (3.3)</td></tr><tr><td align="left" valign="top"/><td align="left" valign="top">Email</td><td align="left" valign="top">23 (24)</td></tr><tr><td align="left" valign="top"/><td align="left" valign="top">Letter from provider</td><td align="left" valign="top">14 (14.7)</td></tr><tr><td align="left" valign="top"/><td align="left" valign="top">Provider telling me about opportunities verbally at my appointment</td><td align="left" valign="top">16 (16.8)</td></tr><tr><td align="left" valign="top" colspan="3">Being willing to answer risk assessment questions on MyChart for the following conditions</td></tr><tr><td align="left" valign="top"/><td align="left" valign="top">Diabetes</td><td align="left" valign="top">60 (57.1)</td></tr><tr><td align="left" valign="top"/><td align="left" valign="top">HIV</td><td align="left" valign="top">33 (31.4)</td></tr><tr><td align="left" valign="top"/><td align="left" valign="top">Drug use</td><td align="left" valign="top">37 (35.2)</td></tr><tr><td align="left" valign="top"/><td align="left" valign="top">Alcohol use</td><td align="left" valign="top">42 (40)</td></tr><tr><td align="left" valign="top"/><td align="left" valign="top">Tobacco use</td><td align="left" valign="top">35 (33.3)</td></tr><tr><td align="left" valign="top"/><td align="left" valign="top">Depression</td><td align="left" valign="top">54 (51.4)</td></tr><tr><td align="left" valign="top"/><td align="left" valign="top">Stress</td><td align="left" valign="top">65 (61.9)</td></tr><tr><td align="left" valign="top"/><td align="left" valign="top">Anxiety</td><td align="left" valign="top">59 (56.2)</td></tr><tr><td align="left" valign="top"/><td align="left" valign="top">Sleep</td><td align="left" valign="top">74 (70.5)</td></tr><tr><td align="left" valign="top"/><td align="left" valign="top">Sexual history</td><td align="left" valign="top">35 (33.3)</td></tr></tbody></table><table-wrap-foot><fn id="table3fn1"><p><sup>a</sup>Participants could select more than 1 option or none. As such, n values and percentages do not add up to 105 and 100%, respectively, at all instances.</p></fn></table-wrap-foot></table-wrap></sec><sec id="s3-4"><title>Self-Test Kits</title><p>When asked what self-test kits they would be willing to receive if free of charge, participants indicated interest in several health conditions (<xref ref-type="table" rid="table4">Table 4</xref>).</p><table-wrap id="t4" position="float"><label>Table 4.</label><caption><p>Interest in receiving a self-test kit.</p></caption><table id="table4" frame="hsides" rules="groups"><thead><tr><td align="left" valign="bottom">Test kit type</td><td align="left" valign="bottom">Participants, n (%)<sup><xref ref-type="table-fn" rid="table4fn1">a</xref></sup></td></tr></thead><tbody><tr><td align="left" valign="top">Colon cancer</td><td align="left" valign="top">62 (59)</td></tr><tr><td align="left" valign="top">COVID-19</td><td align="left" valign="top">66 (62.9)</td></tr><tr><td align="left" valign="top">HIV</td><td align="left" valign="top">17 (16.2)</td></tr><tr><td align="left" valign="top">Sexually transmitted infections</td><td align="left" valign="top">23 (21.9)</td></tr><tr><td align="left" valign="top">Allergies</td><td align="left" valign="top">56 (53.3)</td></tr><tr><td align="left" valign="top">Cholesterol</td><td align="left" valign="top">63 (60)</td></tr><tr><td align="left" valign="top">Influenza</td><td align="left" valign="top">51 (48.6)</td></tr><tr><td align="left" valign="top">Urinary tract infections</td><td align="left" valign="top">53 (50.5)</td></tr><tr><td align="left" valign="top">Alcohol use</td><td align="left" valign="top">13 (12.4)</td></tr><tr><td align="left" valign="top">Illicit drug use</td><td align="left" valign="top">13 (12.4)</td></tr><tr><td align="left" valign="top">None</td><td align="left" valign="top">6 (5.7)</td></tr><tr><td align="left" valign="top">All</td><td align="left" valign="top">27 (25.7)</td></tr></tbody></table><table-wrap-foot><fn id="table4fn1"><p><sup>a</sup>Participants could select more than 1 option or none. As such, n values and percentages do not add up to 105 and 100%, respectively.</p></fn></table-wrap-foot></table-wrap></sec></sec><sec id="s4" sec-type="discussion"><title>Discussion</title><sec id="s4-1"><title>Principal Findings</title><p>Electronic health records and their patient portals, such as MyChart, have become increasingly common. We found that patients overwhelmingly use MyChart and are willing to use it to answer risk assessments, participate in research, watch videos, read health information, and complete surveys.</p><p>Importantly, we found no significant demographic differences in having used MyChart, accessing MyChart, completing activities within MyChart, and being willing to use MyChart for research purposes (all <italic>P</italic> values were &#x003E;.05). The majority of our participants (38/98, 38.8%) were willing to not only be contacted to participate in research via the portal but also complete research-related activities, such as taking risk assessments (87/105, 82.9%) and viewing videos (86/105, 81.9%) in the portal. The lack of significant results in this study is in contrast to previous research. Other research has found differences in patient portal use based on demographic factors [<xref ref-type="bibr" rid="ref15">15</xref>-<xref ref-type="bibr" rid="ref17">17</xref>]. However, those studies were almost exclusively conducted before the COVID-19 pandemic. As Mai and colleagues [<xref ref-type="bibr" rid="ref14">14</xref>] found, COVID-19 may be leading to a shrinking of the racial digital divide, as access and use of portal functionalities have expanded among racial minority groups. Patient portals may be tools for reaching large numbers of patients [<xref ref-type="bibr" rid="ref18">18</xref>] for research purposes while potentially increasing access to research participation for women [<xref ref-type="bibr" rid="ref19">19</xref>] and racial minority groups [<xref ref-type="bibr" rid="ref14">14</xref>], who have historically not been equally represented in research. Future research should examine if research recruitment via patient portals can enroll participants who align with the demographic makeup of the health care system.</p><p>Participants in our research were generally willing to complete risk assessments via the patient portal and receive self-test kits, including those for stigmatized topics like HIV and substance use. In a similar fashion, a scoping meta-analysis by Gnambs and Kasper [<xref ref-type="bibr" rid="ref20">20</xref>] found that individuals are more likely to disclose sensitive behaviors in computer-assisted surveys. Future research should examine whether answering questions about stigmatized topics in patient portals results in increased patient&#x2013;health care professional communication or preventive care regarding those topics. Self-testing for HIV and substance use is important, as individuals who may not seek a health care professional for testing may be more comfortable or willing to test on their own [<xref ref-type="bibr" rid="ref21">21</xref>,<xref ref-type="bibr" rid="ref22">22</xref>]. As the TakeMeHome project found [<xref ref-type="bibr" rid="ref23">23</xref>], providing HIV self-test kits gives options to people who may not be able or willing to test otherwise. Future research should examine if offering patients HIV self-test kits via the patient portal increases HIV testing in health care systems.</p><p>There are some limitations to this research. First, this study occurred with patients who were part of the PERC. Patients who participate in activities with the PERC may be different from the health care system patient population overall. For example, they are more likely to participate in research because they are already part of a research center and are more engaged with the health care system. Second, participants in this research were more likely to be female than male. Female individuals, compared to male individuals, have been found to be more likely to use patient portals [<xref ref-type="bibr" rid="ref24">24</xref>]. The results may have been different if more male individuals participated. Finally, the survey for this research was distributed electronically. It may be that people who participate in web-based surveys are more likely to feel comfortable doing health-related activities electronically.</p></sec><sec id="s4-2"><title>Conclusions</title><p>Patient portals allow patients to both have access to their electronic health information and interact with the health care system. They are becoming increasingly more common for clinical communication, but as we found, they can also be used for research recruitment and sending research-related information. Patients generally prefer to hear about research studies via portals and are willing to use them to answer risk assessments, read about health information, and complete other clinical tasks. Furthermore, patients would be interested in receiving self-test kits for various health conditions, including those for sensitive health conditions such as HIV. Patient portals are relatively novel tools for engaging patients in a variety of research and clinical activities, and patient portal use may be an ideal way to engage patients in research related to sensitive health conditions.</p></sec></sec></body><back><ack><p>The authors would like to thank the patients from Henry Ford Health&#x2019;s Patient Engaged Research Center for their willingness to participate in this research. Funding for this research was supported by a Henry Ford Health Internal Grant (A30999).</p></ack><notes><sec><title>Data Availability</title><p>The datasets generated during and/or analyzed during this study are available from the corresponding author on reasonable request.</p></sec></notes><fn-group><fn fn-type="con"><p>EL and DT researched literature and conceived this study. LC was involved in gaining ethical approval and in patient recruitment. EL, DT, and JG contributed to writing. 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