Conducting Internet-Based Visits for Onboarding Populations With Limited Digital Literacy to an mHealth Intervention: Development of a Patient-Centered Approach
Open accessPublished version of a preprint
Abstract
BACKGROUND: The COVID-19 pandemic has propelled patient-facing research to shift to digital and telehealth strategies. If these strategies are not adapted for minority patients of lower socioeconomic status, health inequality will further increase. Patient-centered models of care can successfully improve access and experience for minority patients. OBJECTIVE: This study aims to present the development process and preliminary acceptability of altering in-person onboarding procedures into internet-based, remote procedures for a mobile health (mHealth) intervention in a population with limited digital literacy. METHODS: We actively recruited safety-net patients (English- and Spanish-speaking adults with diabetes and depression who were receiving care at a public health care delivery system in San Francisco, United States) into a randomized controlled trial of text messaging support for physical activity. Because of the COVID-19 pandemic, we modified the in-person recruitment and onboarding procedures to internet-based, remote processes with human support. We conducted a preliminary evaluation of how the composition of the recruited cohort might have changed from the pre-COVID-19 period to the COVID-19 enrollment period. First, we analyzed the digital profiles of patients (n=32) who had participated in previous in-person onboarding sessions prior to the COVID-19 pandemic. Next, we documented all changes made to our onboarding processes to account for remote recruitment, especially those needed to support patients who were not very familiar with downloading apps onto their mobile phones on their own. Finally, we used the new study procedures to recruit patients (n=11) during the COVID-19 social distancing period. These patients were also asked about their experience enrolling into a fully digitized mHealth intervention. RESULTS: Recruitment across both pre-COVID-19 and COVID-19 periods (N=43) demonstrated relatively high rates of smartphone ownership but lower self-reported digital literacy, with 32.6% (14/43) of all patients reporting they needed help with using their smartphone and installing apps. Significant changes were made to the onboarding procedures, including facilitating app download via Zoom video call and/or a standard phone call and implementing brief, one-on-one staff-patient interactions to provide technical assistance personalized to each patient's digital literacy skills. Comparing recruitment during pre-COVID-19 and COVID-19 periods, the proportion of patients with digital literacy barriers reduced from 34.4% (11/32) in the pre-COVID-19 cohort to 27.3% (3/11) in the COVID-19 cohort. Differences in digital literacy scores between both cohorts were not significant (P=.49). CONCLUSIONS: Patients of lower socioeconomic status have high interest in using digital platforms to manage their health, but they may require additional upfront human support to gain access. One-on-one staff-patient partnerships allowed us to provide unique technical assistance personalized to each patient's digital literacy skills, with simple strategies to troubleshoot patient barriers upfront. These additional remote onboarding strategies can mitigate but not eliminate digital barriers for patients without extensive technology experience. TRIAL REGISTRATION: Clinicaltrials.gov NCT0349025, https://clinicaltrials.gov/ct2/show/NCT03490253.
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
Similar onboarding procedures in app-based interventions for people of color seem to be effective as users can ask questions about the program and request assistance with technology.
“Similar procedures in app-based interventions for POC seem to be effective as users can ask questions about the program and request assistance with technology [53].”
From App-Based Mindfulness Meditation for People of Color Who Experience Race-Related Stress: Protocol for a Randomized Controlled Trial (2022) · cites this paper as [53]
The Results (Changes to Study Procedures; Patient Experience, page unavailable) describe one-on-one technical assistance for a racially and ethnically diverse cohort, and all 11 remote-onboarding participants said they enjoyed the visits. The paper does not specifically report that users asked questions about the program or identify that as a reason the procedures worked. (LLM, conf=0.81)
Experimental — accuracy not yet measuredRemote assessment strategies have been shown to be effective in app-based intervention research with low-income people of color.
“These remote assessment strategies have shown to be effective in app-based intervention research with low-income POC [53].”
From App-Based Mindfulness Meditation for People of Color Who Experience Race-Related Stress: Protocol for a Randomized Controlled Trial (2022) · cites this paper as [53]
The Methods (Overview of the mHealth Intervention) describe moving online baseline assessments and app onboarding to remote procedures. The Results (Digital Profiles) report enrolling racially or ethnically diverse participants with lower socioeconomic status, and the Discussion (Principal Findings) reports successful remote enrollment and app downloads. However, the study evaluated a small, supported onboarding process, not the effectiveness of remote assessment strategies generally; its Limitations section says the remote approaches were not statistically compared. (LLM, conf=0.84)
Experimental — accuracy not yet measured
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Cites
Harris, P. A., Taylor, R., Thielke, R., Payne, J., Gonzalez, N., & Conde, J. G. (2009) · Journal of Biomedical Informatics · doi:10.1016/j.jbi.2008.08.010 · Cited by 51,384 · see citing works
The REDCap consortium: building an international community of software platform partners
Harris, P. A., Taylor, R., Minor, B. L., Elliott, V., Fernandez, M., O'Neal, L., McLeod, L., Delacqua, G., Delacqua, F., Kirby, J., et al. (2019) · Journal of Biomedical Informatics · doi:10.1016/j.jbi.2019.103208 · Cited by 24,013 · see citing works
Digital Na(t)ives? Variation in Internet Skills and Uses among Members of the “Net Generation”
Hargittai, E. (2010) · Sociological Inquiry · doi:10.1111/j.1475-682x.2009.00317.x · Cited by 1,564 · see citing works
Singh‐Manoux, A., Marmot, M. G., & Adler, N. E. (2005) · Psychosomatic Medicine · doi:10.1097/01.psy.0000188434.52941.a0 · Cited by 943 · see citing works
Kontos, E., Blake, K. D., Chou, W.-Y. S., & Prestin, A. (2014) · Journal of Medical Internet Research · doi:10.2196/jmir.3117 · Cited by 917 · see citing works
van der Vaart, R., & Drossaert, C. (2017) · Journal of Medical Internet Research · doi:10.2196/jmir.6709 · Cited by 687 · see citing works
Preliminary Development of a Model and Measure of Computer-Mediated Communication (CMC) Competence
Spitzberg, B. H. (2006) · Journal of Computer-Mediated Communication · doi:10.1111/j.1083-6101.2006.00030.x · Cited by 332 · see citing works
Inan, O. T., Tenaerts, P., Prindiville, S. A., Reynolds, H. R., Dizon, D. S., Cooper-Arnold, K., Turakhia, M., Pletcher, M. J., Preston, K. L., Krumholz, H. M., et al. (2020) · npj Digital Medicine · doi:10.1038/s41746-020-0302-y · Cited by 329 · see citing works
Measuring users’ internet skills: A review of past assessments and a look toward the future
Litt, E. (2013) · New Media & Society · doi:10.1177/1461444813475424 · Cited by 267 · see citing works
Interventions to increase patient portal use in vulnerable populations: a systematic review
Grossman, L. V., Masterson Creber, R. M., Benda, N. C., Wright, D., Vawdrey, D. K., & Ancker, J. S. (2019) · Journal of the American Medical Informatics Association · doi:10.1093/jamia/ocz023 · Cited by 251 · see citing works
Health Inequalities in the Use of Telehealth in the United States in the Lens of COVID-19
Jaffe, D. H., Lee, L., Huynh, S., & Haskell, T. P. (2020) · Population Health Management · doi:10.1089/pop.2020.0186 · Cited by 240 · see citing works
The Need for a Mental Health Technology Revolution in the COVID-19 Pandemic
Figueroa, C. A., & Aguilera, A. (2020) · Frontiers in Psychiatry · doi:10.3389/fpsyt.2020.00523 · Cited by 227 · see citing works
Self-citation(1999) · International Journal of Toxicology · doi:10.1080/109158199225170 · Cited by 222 · see citing works
Giatti, L., Camelo, L. D. V., Rodrigues, J. F. D. C., & Barreto, S. M. (2012) · BMC Public Health · doi:10.1186/1471-2458-12-1096 · Cited by 199 · see citing works
A Call for Addressing Barriers to Telemedicine: Health Disparities during the COVID-19 Pandemic
Zhai, Y. (2020) · Psychotherapy and Psychosomatics · doi:10.1159/000509000 · Cited by 175 · see citing works
Factors influencing use of an e-health website in a community sample of older adults
Czaja, S. J., Sharit, J., Lee, C. C., Nair, S. N., Hernández, M., Arana, N., & Fu, S. H. (2012) · Journal of the American Medical Informatics Association · doi:10.1136/amiajnl-2012-000876 · Cited by 148 · see citing works
COVID-19 and racial disparities
Shah, M., Sachdeva, M., & Dodiuk‐Gad, R. P. (2020) · Journal of the American Academy of Dermatology · doi:10.1016/j.jaad.2020.04.046 · Cited by 136 · see citing works
Martínez-Alcalá, C. I., Rosales-Lagarde, A., Alonso-Lavernia, M. D. L. Á., Ramírez-Salvador, J. Á., Jiménez-Rodríguez, B., Cepeda-Rebollar, R. M., López‐Noguerola, J. S., Díaz, M. L. B., & Agis-Juárez, R. A. (2018) · Frontiers in ICT · doi:10.3389/fict.2018.00021 · Cited by 134 · see citing works
Aguilera, A., Bruehlman-Senecal, E., Demasi, O., & Avila, P. (2017) · Journal of Medical Internet Research · doi:10.2196/jmir.6914 · Cited by 122 · cited 13× · see citing works
“Furthermore, we started data collection to evaluate whether patients of lower SES and limited digital literacy were still able to participate in mHealth research in the midst of direct economic and health consequences of the COVID-19 pandemic.”
BackgroundInfluentialSelf-citationKing, A. C., Bickmore, T. W., Campero, M. I., Pruitt, L. A., & Yin, J. L. (2013) · Journal of Health Communication · doi:10.1080/10810730.2013.798374 · Cited by 114 · see citing works
Subjective Social Status, a New Measure in Health Disparities Research
Wolff, L. S., Acevedo‐García, D., Subramanian, S. V., Weber, D., & Kawachi, I. I. (2010) · Journal of Health Psychology · doi:10.1177/1359105309354345 · Cited by 107 · see citing works
Aguilera, A., Figueroa, C. A., Hernandez-Ramos, R., Sarkar, U., Cemballi, A. G., Pathak, L. E., Miramontes, J., Yom‐Tov, E., Chakraborty, B., Yan, X., et al. (2020) · BMJ Open · doi:10.1136/bmjopen-2019-034723 · Cited by 99 · see citing works
Self-citationHow to Conduct an Outpatient Telemedicine Rehabilitation or Prehabilitation Visit
Verduzco‐Gutierrez, M., Bean, A., Tenforde, A. S., Tapia, R. N., & Silver, J. K. (2020) · PM&R · doi:10.1002/pmrj.12380 · Cited by 87 · see citing works
Schueller, S. M., Tomasino, K. N., & Mohr, D. C. (2017) · Clinical Psychology: Science and Practice · doi:10.1037/h0101740 · Cited by 70 · see citing works
Telemedicine Services During COVID‐19: Considerations for Medically Underserved Populations
Woodall, T., Ramage, M., LaBruyere, J. T., McLean, W., & Tak, C. R. (2020) · The Journal of Rural Health · doi:10.1111/jrh.12466 · Cited by 67 · see citing works
A Randomized Trial to Train Vulnerable Primary Care Patients to Use a Patient Portal
Lyles, C. R., Tieu, L., Sarkar, U., Kiyoi, S., Sadasivaiah, S., Hoskote, M., Ratanawongsa, N., & Schillinger, D. (2019) · The Journal of the American Board of Family Medicine · doi:10.3122/jabfm.2019.02.180263 · Cited by 65 · see citing works
Self-citationAguilera, A., & Berridge, C. (2014) · JMIR mHealth and uHealth · doi:10.2196/mhealth.3660 · Cited by 62 · see citing works
Self-citationFontil, V., McDermott, K. A., Tieu, L., Rios, C., Gibson, E., Castro, C. M., Payne, M., & Lyles, C. R. (2016) · Journal of Diabetes Research · doi:10.1155/2016/8472391 · Cited by 47 · see citing works
Self-citationHarris, K., Jacobs, G., & Reeder, J. A. (2019) · HLRP Health Literacy Research and Practice · doi:10.3928/24748307-20190325-02 · Cited by 31 · see citing works
Ramirez, M., Wu, S., & Beale, E. (2016) · Preventing Chronic Disease · doi:10.5888/pcd13.160035 · Cited by 19 · see citing works
Responsible patient-centered care
Kalra, S., Baruah, M., & Unnikrishnan, A. (2017) · Indian Journal of Endocrinology and Metabolism · doi:10.4103/ijem.ijem_543_16 · Cited by 19 · see citing works
Using Photos to Develop Text Messages to Promote Walking
Buchholz, S. W., Ingram, D., Wilbur, J., & Pelt, P. P. (2013) · Journal of Nursing Scholarship · doi:10.1111/jnu.12043 · Cited by 16 · see citing works
Tzeng, H. (2009) · Applied Nursing Research · doi:10.1016/j.apnr.2009.03.003 · Cited by 13 · see citing works
Measuring Digital skills: From Digital Skills to Tangible Outcomes project report
Deursen, A. J. A. M. V., Helsper, E. J., & Eynon, R. (2014) · doi:10.13140/2.1.2741.5044 · Cited by 11 · see citing works
Figueroa, C. A., DeMasi, O., Hernandez-Ramos, R., & Aguilera, A. (2020) · Telemedicine Journal and e-Health · doi:10.1089/tmj.2019.0248 · Cited by 9 · see citing works
Self-citationAguilera, A., Figueroa, C. A., Hernandez-Ramos, R., et al. (2020) · medRxiv · doi:10.1101/2020.06.29.20142943 · Cited by 4 · see citing works
Self-citation
Flagged first, then by citations
Cited by
Sorted by citations
The need for feminist intersectionality in digital health
Figueroa, C. A., Luo, T. C., Aguilera, A., & Lyles, C. R. (2021) · The Lancet Digital Health · doi:10.1016/s2589-7500(21)00118-7 · Cited by 158 · see citing works
Self-citationAguilera, A., Figueroa, C. A., Hernandez-Ramos, R., Sarkar, U., Cemballi, A. G., Pathak, L. E., Miramontes, J., Yom‐Tov, E., Chakraborty, B., Yan, X., et al. (2020) · BMJ Open · doi:10.1136/bmjopen-2019-034723 · Cited by 99 · see citing works
Self-citationRamos, G., Hernandez-Ramos, R., Taylor, M. E., & Schueller, S. M. (2024) · Behavior Therapy · doi:10.1016/j.beth.2024.04.004 · Cited by 64 · see citing works
Self-citationDaniore, P., Nittas, V., & von Wyl, V. (2022) · Journal of Medical Internet Research · doi:10.2196/39910 · Cited by 60 · see citing works
Applying the Digital Health Social Justice Guide
Figueroa, C. A., Murayama, H., Amorim, P. C., White, A., Quiterio, A. S., Luo, T. C., Aguilera, A., Smith, A. D. R., Lyles, C. R., Robinson, V., et al. (2022) · Frontiers in Digital Health · doi:10.3389/fdgth.2022.807886 · Cited by 34 · see citing works
Self-citationHelleman, J., Johnson, B. D., Holdom, C. J., Hobson, E., Murray, D., Steyn, F. J., Ngo, S. T., Henders, A. K., Lokeshappa, M. B., Visser‐Meily, J. M. A., et al. (2022) · Journal of Neurology · doi:10.1007/s00415-022-11273-x · Cited by 31 · see citing works
The influence of digital literacy on mHealth app usability: The mediating role of patient expertise
Durmuş, A. (2024) · Digital Health · doi:10.1177/20552076241299061 · Cited by 30 · see citing works
Eustis, E. H., Graham-LoPresti, J. R., Aguilera, A., & Schueller, S. M. (2023) · Journal of Medical Internet Research · doi:10.2196/45409 · Cited by 25 · see citing works
Self-citationConversational Physical Activity Coaches for Spanish and English Speaking Women: A User Design Study
Figueroa, C. A., Luo, T. C., Jacobo, A., Munoz, A., Manuel, M., Chan, D., Canny, J., & Aguilera, A. (2021) · Frontiers in Digital Health · doi:10.3389/fdgth.2021.747153 · Cited by 26 · see citing works
Self-citationZambelli, Z., Jakobsson, C. E., Threadgold, L., Fidalgo, A. R., Halstead, E. J., & Dimitriou, D. (2022) · Digital Health · doi:10.1177/20552076221097504 · Cited by 22 · see citing works
Udenigwe, O., & Yaya, S. (2022) · Reproductive Health · doi:10.1186/s12978-022-01358-1 · Cited by 21 · see citing works
Özer, Ö., Köksal, B., & Altınok, A. (2024) · Internet Interventions · doi:10.1016/j.invent.2024.100722 · Cited by 24 · see citing works
Mobile Applications in Advancing Health Literacy
Miranda, J. P. P. (2024) · Advances in healthcare information systems and administration book series · doi:10.4018/979-8-3693-3661-8.ch003 · Cited by 20 · see citing works
Kelly, J. T., Caffery, L. J., Thomas, E. E., Catapan, S. D. C., Smith, A. C., Isbel, N. M., Mayr, H. L., Webb, L., Campbell, K. L., Macdonald, G. A., et al. (2025) · Patient Education and Counseling · doi:10.1016/j.pec.2025.109278 · Cited by 16 · see citing works
Developments in the assessment of non-motor disease progression in amyotrophic lateral sclerosis
Chiò, A., Canosa, A., Calvo, A., Moglia, C., Cicolin, A., & Mora, G. (2021) · Expert Review of Neurotherapeutics · doi:10.1080/14737175.2021.1984883 · Cited by 14 · see citing works
Ramos, G., Aguilera, A., Montoya, A., Lau, A., Wen, C. Y., Cruz Torres, V., & Chavira, D. (2022) · JMIR Research Protocols · doi:10.2196/35196 · Cited by 12 · see citing works
“These remote assessment strategies have shown to be effective in app-based intervention research with low-income POC [53].”
BackgroundMethodSelf-citationDigital Health Disparities: A Review of Barriers and Solutions for Racially Diverse Groups
Teke, J., Olawade, D. B., Leena, N., Weerasinghe, K., McLernon, S., & Moorley, C. (2025) · International Journal of Medical Informatics · doi:10.1016/j.ijmedinf.2025.106173 · Cited by 13 · see citing works
Schmidt, M., & Tawfik, A. A. (2022) · doi:10.59668/354.5904 · Cited by 13 · see citing works
Dessapt-Baradez, C., Liška, J., Brulle-Wohlhueter, C., Pushkarna, D., Baxter, M., & Piette, J. D. (2022) · Diabetes Therapy · doi:10.1007/s13300-022-01244-w · Cited by 13 · see citing works
Goethem, V. V., Dierickx, S., Matthys, O., Northouse, L., Lund, L., Jordan, C., Turola, E., van der Wel, M., Scott, D. A., Harding, R., et al. (2023) · Internet Interventions · doi:10.1016/j.invent.2023.100659 · Cited by 12 · see citing works
Pontoppidan, M., Blower, S. L., Solvang, J. N., & Bywater, T. J. (2021) · Trials · doi:10.1186/s13063-021-05826-0 · Cited by 12 · see citing works
Pathak, L. E., Hernandez-Ramos, R., Rosales, K., Miramontes, J., Garcia, F., Yip, V., Sudarshan, S., Cemballi, A. G., Lyles, C. R., & Aguilera, A. (2025) · JMIR mhealth and uhealth · doi:10.2196/56329 · Cited by 12 · see citing works
Self-citationPatient-Facing Clinical Decision Support for High Blood Pressure Control: Patient Survey
Dorr, D. A., D'Autremont, C., Richardson, J. E., Bobo, M., Terndrup, C. P., Dunne, M., Cheng, A., & Rope, R. W. (2022) · JMIR Cardio · doi:10.2196/39490 · Cited by 9 · see citing works
App-Based Digital Health Equity Determinants According to Ecological Models: Scoping Review
Park, N.-Y., & Jang, S. (2024) · Sustainability · doi:10.3390/su16062232 · Cited by 8 · see citing works
Fontil, V., Khoong, E. C., Green, B. B., Ralston, J. D., Zhou, C., Garcia, F., McCulloch, C. E., Sarkar, U., & Lyles, C. R. (2023) · Contemporary Clinical Trials · doi:10.1016/j.cct.2023.107112 · Cited by 7 · see citing works
Self-citationThe Influence of Audio Stories on Enhancing Digital Literacy In Early Childhood: A Survey Study
Bisma, N., Desmita, D., Diyenti, A. K., Karim, N. A., Zalzabila, Z., Yulia, N., Warmansyah, J., & Sulong, K. (2023) · Indonesian Journal of Early Childhood Educational Research (IJECER) · doi:10.31958/ijecer.v2i2.11526 · Cited by 30 · see citing works
Kelpin, S. S., Brockman, T. A., Decker, P. A., Young, A. M., Boehmer, K. R., Nguyen, A., Kamath, C. C., Sauver, J. S., Sinicrope, P. S., Sharma, P., et al. (2024) · Communications Medicine · doi:10.1038/s43856-024-00624-6 · Cited by 6 · see citing works
Dullabh, P., Zott, C., Gauthreaux, N. A., Swiger, J., Lomotan, E. A., & Sittig, D. F. (2025) · Journal of Medical Internet Research · doi:10.2196/68674 · Cited by 7 · see citing works
Shin, H. D., Kemp, J., Kassam, I., Pape, C., Goonasekera, S., Modha, V., Rodak, T., Torous, J. B., Kidd, S. A., & Strudwick, G. (2026) · npj Digital Medicine · doi:10.1038/s41746-026-02647-w · Cited by 5 · see citing works
Variability in the Integration of Peers in a Multi-site Digital Mental Health Innovation Project
Cha, B. S., Borghouts, J. W., Eikey, E. V., Mukamel, D. B., Schueller, S. M., Sorkin, D. H., Stadnick, N. A., Zhao, X., Zheng, K., & Schneider, M. L. (2024) · Administration and Policy in Mental Health and Mental Health Services Research · doi:10.1007/s10488-023-01331-5 · Cited by 4 · see citing works
Public Understanding and Expectations of Digital Health Evidence Generation: Focus Group Study
Bondaronek, P., Li, J., & POTTS, H. W. W. (2025) · JMIR Formative Research · doi:10.2196/56523 · Cited by 4 · see citing works
Hernandez-Ramos, R., Schueller, S. M., Borghouts, J., Palomares, K., Eikey, E., Schneider, M. L., Stadnick, N., Zheng, K., Mukamel, D. B., & Sorkin, D. H. (2024) · Implementation Research and Practice · doi:10.1177/26334895241288571 · Cited by 5 · see citing works
Self-citationYao, Y., Lopez, K. D., Bjarnadóttir, R. I., Macieira, T. G. R., Santos, F. C. D., Madandola, O. O., Cho, H., Priola, K., Wolf, J. S., Wilkie, D. J., et al. (2023) · Journal of Medical Internet Research · doi:10.2196/45043 · Cited by 5 · see citing works
Support Strategies and Interventions for eHealth Inclusion: Scoping Review
Bouwes, W., Scherpbier, N. D., Hage, E., Tjalma, L. A. R., & Metting, E. (2025) · Journal of Medical Internet Research · doi:10.2196/79760 · Cited by 4 · see citing works
Hamilton, F. L., Imran, S., Mahmood, A., Dobbin, J., Bradbury, K. J., Poduval, S., Scuffell, J., Thomas, F., & Stevenson, F. A. (2025) · Health and Social Care Delivery Research · doi:10.3310/gjhg1331 · Cited by 4 · see citing works
Predicting Digital Literacy: A Systematic Review of Digital Competence, Usage, and Transformation
Luís, S., Portugal, E., Farias, A. R., Soro, J. C., Cabral, J., da Costa, L. P., Ferreira, M. J., Loureiro, A. P., Silva, V., Chambel, J., et al. (2025) · Human Behavior and Emerging Technologies · doi:10.1155/hbe2/6046935 · Cited by 2 · see citing works
Ismaila, H., BLANDFORD, A. E., Sunkersing, D., Stevenson, F. A., & Goodfellow, H. (2024) · Digital Health · doi:10.1177/20552076241294101 · Cited by 1 · see citing works
State of the Science in Clinical Practice: Digital Mental Health Interventions
Ramos, G., Taylor, M. E., Tabak, N. T., Poola, N., & Schueller, S. M. (2026) · Cognitive and Behavioral Practice · doi:10.1016/j.cbpra.2026.03.001 · Cited by 1 · see citing works
Koller, C. N., Blanchard, M., Mettler, J., Prétat, T., Azevedo, P. M., & Hügle, T. (2026) · JMIR mhealth and uhealth · doi:10.2196/78827 · Cited by 1 · see citing works
Vincent, W. (2023) · JMIR Formative Research · doi:10.2196/38298 · Cited by 1 · see citing works
Precision medicine and the ethics of electronic health records and genomics
Petersen, C. C., & Boyd, A. D. (2023) · Elsevier eBooks · doi:10.1016/b978-0-12-824010-6.00080-0 · Cited by 1 · see citing works
Hamilton, F. L., Imran, S., Mahmood, A., Dobbin, J., Bradbury, K. J., Poduval, S., Scuffell, J., Thomas, F., & Stevenson, F. A. (2024) · doi:10.2196/preprints.59973 · Cited by 1 · see citing works
Dorr, D. A., D'Autremont, C., Richardson, J. E., Bobo, M., Terndrup, C. P., Dunne, M., Cheng, A., & Rope, R. W. (2022) · doi:10.2196/preprints.39490
Daniore, P., Nittas, V., & von Wyl, V. (2022) · doi:10.2196/preprints.39910
Silverman, A. L., Evia, Á. F. V. D. L. G., Larrazabal, M. A., Khutsisvili, L., Boukhechba, M., Barnes, L. E., & Teachman, B. A. (2023) · doi:10.31234/osf.io/3ck26
Pontoppidan, M., Blower, S. L., Solvang, J. N., & Bywater, T. (2021) · Figshare · doi:10.6084/m9.figshare.17125753
Napierała, W., Leszczyńska, K. M., Jasiński, J. L., Krzysztofik, A., Krawczyk, K., Kańska, K. T., Tomaszewska, A. M., Mitan, A. M., Wieczorek, M. T., & Hak, K. J. (2026) · International Journal of Innovative Technologies in Social Science · doi:10.31435/ijitss.1(49).2026.5142
Groen, F., de Rooij, M., Kloek, C. J. J., Veenhof, C., Klein, M. C. A., Al-Janabi, A., van Haeringen, E. S., Ronteltap, A., Cijs, B., van Dongen, B., et al. (2026) · JMIR Research Protocols · doi:10.2196/94709
Mak, S., Patterson, E. S., Lacko, J. E., Kinney, R. L., Der‐Mcleod, E., Chuang, V. I., Fung, C. H., & Ash, G. I. (2026) · Human Factors in Healthcare · doi:10.1016/j.hfh.2026.100139
Ramos, G., Montoya, A. K., Aguilera, A., Lau, A. S., Enders, C. K., Wen, C. Y., & Chavira, D. A. (2026) · Journal of Medical Internet Research · doi:10.2196/84328
Self-citationCan digital navigators help reduce inequities in healthcare? A systematic review
Ornellas, G., de Albuquerque, M. V., & Catapan, S. D. C. (2026) · Journal of Telemedicine and Telecare · doi:10.1177/1357633x261457758
Susanti, A. I., Novitasari, A., Silmi, H., Mandiri, A., Adnani, Q. E. S., & McKenna, L. (2026) · Midwifery · doi:10.1016/j.midw.2026.104955
Garg, K. R., Kabra, G., Pandey, K. K., Mishra, V., & Kaushal, A. K. (2026) · International Journal of Innovation Science · doi:10.1108/ijis-02-2026-0098
- Authors
- Hernandez-Ramos, R., Aguilera, A., Garcia, F., Miramontes-Gomez, J., Pathak, L. E., Figueroa, C. A., & Lyles, C. R.
- Affiliations
- University of California, Berkeley (US)
- University of California, San Francisco (US)
- San Francisco General Hospital (US)
- Corresponding author
- Lyles, Courtney Rees
- ORCID
- Venue
- JMIR Formative Research
- Publisher
- JMIR Publications Inc.
- Published
- 2021-04-29
- Volume
- 5
- Issue
- 4
- Pages
- e25299
- ISSN
- 2561-326X (ISSN-L)
- PMC
- PMC8086779
- OpenAlex
- W3154933051
- Cited by
- 53
- References
- 35
- Citations by year
- 2026: 10 · 2025: 8 · 2024: 10 · 2023: 8 · 2022: 11 · 2021: 5 · 2020: 1
- FWCI
- 9.55
- Type
- journal article
- Language
- en
- Open access
- gold
- doi.org
- Licence
- cc-by
- Locations
- JMIR Formative Research (publishedVersion, cc-by)
- PubMed Central (publishedVersion, cc-by)
- PubMed (publishedVersion)
- DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion, cc-by-sa)
- eScholarship (California Digital Library) (submittedVersion)
- Funders
- Agency for Healthcare Research and Quality (R01 HS025429)
- Topics
- Health Sciences › Health Professions › General Health Professions › Mobile Health and mHealth Applications
- Health Sciences › Medicine › Public Health, Environmental and Occupational Health › Telemedicine and Telehealth Implementation
- Social Sciences › Psychology › Applied Psychology › Digital Mental Health Interventions
- Keywords
- literacy, mobile health intervention, remote onboarding, online recruitment, COVID-19 pandemic, diabetes mellitus, depression, text messaging, physical activity, patient-centered care, health equity, minority patients, low socioeconomic status, technical assistance, smartphone ownership, telemedicine, recruitment barriers, Spanish-speaking patients, health disparities, digital divide
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
