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Research Letter (147) Electronic/Mobile Data Capture, Internet-based Survey & Research Methodology (1769) Methods in Cancer Research (90) Breast Cancer (415) Recruitment of Research Participants (480) Social Determinants of Health (130)

Published on in Vol 10 (2026)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/96341, first published .
Four women in pink shirts with breast cancer awareness ribbons stand together at sunset.

Multimodal Online Recruitment and Engagement of Black Breast Cancer Survivors for Mixed Methods Social Determinants of Health Research: Feasibility Study

Multimodal Online Recruitment and Engagement of Black Breast Cancer Survivors for Mixed Methods Social Determinants of Health Research: Feasibility Study

Authors of this article:

Kassandra I Alcaraz1, 2, 3, 4 Author Orcid Image ;   Lensa S Keno2 Author Orcid Image ;   Brittany D Jenkins1, 3, 5 Author Orcid Image ;   Avonne E Connor1, 2, 3 Author Orcid Image
Article Authors Cited by Tweetations Metrics

    1Department of Oncology, School of Medicine, Johns Hopkins University, 401 N Broadway, Baltimore, MD, United States

    2Department of Epidemiology, Bloomberg School of Public Health, Johns Hopkins University, Baltimore, MD, United States

    3Sidney Kimmel Comprehensive Cancer Center, Johns Hopkins University, Baltimore, MD, United States

    4Johns Hopkins Center for Health Disparities Solutions, Johns Hopkins University, Baltimore, MD, United States

    5Department of Biochemistry and Molecular Biology, Bloomberg School of Public Health, Johns Hopkins University, Baltimore, MD, United States

    Corresponding Author:

    Kassandra I Alcaraz, MPH, PhD




    Black women have the highest breast cancer mortality rate and the shortest overall survival among all racial/ethnic groups in the United States [1], in part due to social determinants of health (SDOH) [2]. However, because racial/ethnic minoritized populations are underrepresented in cancer research, studies examining within-group SDOH and differences among Black breast cancer survivors are limited [3]. Additionally, although some socioeconomically disadvantaged populations have been engaged in research using digital channels [4], evidence indicates that online recruitment methods may not adequately reach diverse sociodemographic groups [5]. Given these limitations, we conducted a preliminary study to assess the feasibility of using online methods to recruit and engage (across several time points) a sociodemographically diverse sample of Black breast cancer survivors. This paper reports on the methods and outcomes of online recruitment and the collection of SDOH-related data using online surveys, virtual focus groups, and biospecimens. Findings provide insights into the processes and feasibility of multimodal online recruitment and engagement for mixed methods SDOH data acquisition.


    Overview

    From June to September 2025, we recruited adult (age ≥18 years) Black breast cancer survivors residing in Baltimore, Maryland, and 3 surrounding counties. Individuals who were not born female, did not speak English, were diagnosed at stage 0, and were in active cancer treatment or completed active treatment <2 years ago were ineligible. Figure 1 summarizes study procedures. Potentially eligible patients (based on electronic health records) who were seen at any of 4 Johns Hopkins Medicine hospitals or clinics within the past 5 years received a recruitment message in their MyChart (Epic Systems Corp) patient portal. Those who did not have an active MyChart account were emailed the recruitment message. We partnered with community-based organizations to disseminate a study flyer via email and to conduct a webinar. Recruitment source was self-reported in the study’s survey.

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    Figure 1. Study processes.

    The 20‐ to 30-minute online survey was deployed via REDCap (Vanderbilt University). To enhance internal validity, we aimed to collect biospecimens within 2 weeks of each participant’s survey completion. Respondents were asked to indicate their availability for a blood draw appointment and need for study-arranged transportation assistance via Lyft. Blood draws were completed at the Johns Hopkins ProHealth Clinical Research Unit, where ProHealth staff collected small-volume blood samples (4 mL) and measured participants’ height and weight. Respondents were also asked whether they were interested in participating in one of four 75-minute virtual focus groups via Zoom. Completing the survey was a prerequisite for being scheduled for a blood draw, and completing the blood draw was a prerequisite for being invited to a focus group.

    We evaluated feasibility across 3 feasibility framework-guided domains: recruitment, sociodemographic representativeness, and assessment procedures [6,7]. Findings are reported using frequencies and percentages. (Focus group findings are not reported in this paper.) Analyses were performed using SAS (version 9.4; SAS Institute Inc).

    Ethical Considerations

    The study received ethics approval from the Institutional Review Board of the Johns Hopkins Bloomberg School of Public Health (IRB00031122). Electronic informed consent was obtained from all participants prior to data collection. Study data were deidentified. Each participant received a US $75 Tango gift card after survey completion and biospecimen donation and a US $50 Tango gift card after focus group participation.


    Our evaluation of recruitment found that 120 (80.0%) out of 150 individuals completed the eligibility screener. Of these 120 participants, 37 (31.0%) were eligible, but 7 (19.0%) of these 37 individuals did not proceed with participation. Among the final sample (n=30), most participants reported learning about the study from the patient portal (Table 1).

    Table 1. Sample recruitment sources and sociodemographic characteristics (N=30).
    VariableParticipants, n (%)
    Recruitment source
    Patient portal25 (83.3)
    Email2 (6.7)
    Other (friend/family, online advertisement)2 (6.7)
    Missing1 (3.3)
    Age (years)
    18‐495 (16.7)
    50‐6411 (36.7)
    ≥6511 (36.7)
    Missing3 (10.0)
    Educational attainment
    ≤ Some college9 (30.0)
    ≥ College graduate20 (66.7)
    Missing1 (3.3)
    Marital status
    Never married7 (23.3)
    Married or partnered10 (33.3)
    Separated, widowed, or divorced13 (43.3)
    Employment status
    Employed15 (50.0)
    Unemployed or retired14 (46.7)
    Missing1 (3.3)
    Annual household income (US $)
    <50,0009 (30.0)
    50,000-99,99911 (36.7)
    ≥100,0008 (26.7)
    Missing2 (6.7)
    Number of people in household
    112 (40.0)
    27 (23.3)
    ≥38 (26.7)
    Missing3 (10.0)
    Area of residence
    Baltimore City17 (56.7)
    Outside of Baltimore City13 (43.3)

    Our evaluation of sociodemographic representativeness found that a sociodemographically diverse sample was recruited (Table 1), that is, there was a wide variation in participant characteristics. For example, participant age ranged from 43 to 84 years, annual household income ranged from <US $10,000/year to ≥US $200,000/year, and half of the sample were employed.

    Our evaluation of assessment procedures found that study assessments were able to be administered as planned. Surveys were completed by all 30 participants, and biospecimens were collected from 27 (90.0%) of the 30. While 29 (97.0%) of 30 participants indicated interest in participating in a focus group, 13 (43.3%) ultimately participated.


    Principal Findings

    This study provides evidence on the feasibility of recruiting and engaging a heterogeneous sample of Black breast cancer survivors in SDOH research using online approaches. Online recruitment was feasible, particularly via patient portal. Recruiting a sociodemographically diverse sample and administering assessments also were feasible.

    Most participants were recruited from the patient portal, which likely reached a larger number of individuals than other channels. Also, individuals reached through the patient portal may have had greater interest in research participation than email recipients (who were, by definition, nonportal users) or other individuals, potentially due to higher health care system engagement or trust. Overall, study findings align with previous research on the use of digital channels for engaging diverse populations in research. Evidence indicates that digital recruitment approaches, including online recruitment and recruitment using electronic medical records, can enhance representation in health research [8]. Additionally, online strategies to recruit underrepresented groups may benefit from health care provider and/or community partner endorsements [8]. Our future research will seek to enhance community partner–based recruitment.

    Despite the availability of transportation assistance, 3 participants did not complete a blood draw; they did not respond to appointment scheduling attempts. Our subsequent research may incorporate approaches such as mobile phlebotomy or self-collection, which may be more convenient and acceptable [9,10]. Additionally, despite high interest, scheduling difficulties (eg, participant work schedules, competing demands) precluded virtual focus group participation among several participants. Our future research may offer additional focus groups or employ one-on-one interviews to facilitate greater scheduling flexibility.

    Potential study limitations include the modest sample size, recruitment from a single state, and the sample comprising Black breast cancer survivors only. Therefore, findings may have limited generalizability. Also, the study’s online approach may have disproportionately reached survivors with greater digital access and/or health care system engagement.

    Conclusions

    Findings from this feasibility study inform the development of the next phase of our mixed methods research on SDOH and cancer disparities. Results demonstrate the utility of recruiting and engaging sociodemographically diverse research participants using a variety of online methods.

    Acknowledgments

    We acknowledge the contributions of the study participants, local community partners (Mammograms Are Not Enough, Touch4Life), Johns Hopkins ProHealth Clinical Research Unit research staff members, and the Johns Hopkins Breast Cancer Program patient navigation team.

    Funding

    Research reported in this publication was supported by the National Cancer Institute of the National Institutes of Health (NIH) by grant number P30CA006973-61S1. The funder had no role in the design of the study; collection, analysis, or interpretation of the data; preparation of the manuscript; or the decision to submit the manuscript for publication. This publication was made possible by the Johns Hopkins Institute for Clinical and Translational Research (ICTR), which is funded in part by grant number UM1TR004926 from the National Center for Advancing Translational Sciences (NCATS), a component of the NIH, and the NIH Roadmap for Medical Research. Its contents are solely the responsibility of the authors and do not necessarily represent the official view of the Johns Hopkins ICTR, NCATS, or NIH.

    Data Availability

    The preliminary data generated during the current study are not publicly available at this time due to ongoing analysis. Inquiries regarding future data availability should be made to the corresponding author (KIA).

    Authors' Contributions

    Conceptualization: KIA

    Data curation: KIA

    Formal analysis: KIA

    Funding Acquisition: KIA

    Investigation: KIA, LSK, BDJ, AEC

    Methodology: KIA

    Project administration: KIA, LSK

    Supervision: KIA

    Writing – original draft: KIA

    Writing – review and editing: KIA, LSK, BDJ, AEC

    Conflicts of Interest

    None declared.

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    SDOH: social determinants of health

    Edited by Luke MacNeill; submitted 27.Mar.2026; peer-reviewed by Qi Zhang; final revised version received 31.Jul.2026; accepted 04.Aug.2026; published 07.Oct.2026.

    Copyright

    © Kassandra I Alcaraz, Lensa S Keno, Brittany D Jenkins, Avonne E Connor. Originally published in JMIR Formative Research (https://formative.jmir.org), 7.Oct.2026.

    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.