The DOI matches its Crossref record; 40 of the 42 references it cites were found in a registry or an index.
A framework for digital health equity
Open accessAbstract
We present a comprehensive Framework for Digital Health Equity, detailing key digital determinants of health (DDoH), to support the work of digital health tool creators in industry, health systems operations, and academia. The rapid digitization of healthcare may widen health disparities if solutions are not developed with these determinants in mind. Our framework builds on the leading health disparities framework, incorporating a digital environment domain. We examine DDoHs at the individual, interpersonal, community, and societal levels, discuss the importance of a root cause, multi-level approach, and offer a pragmatic case study that applies our framework.
Overview
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
Figures
Verification
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?
The cited source doesn’t support the claim as written.
In the citing paper
“Two recently published digital health frameworks for medical students outlined 27 artificial intelligence-specific competencies 47 and 40 digital health topics, 48 respectively.”
From The Digital Health Competencies in Medical Education Framework (2025) · cites this paper as [47]
Checked by a reasoning model — may be wrong.
Experimental — accuracy not yet measuredThe source backs part of the claim, not all of it — or backs it for a different population, condition or comparison.
In the citing paper
“We recognize, however, that social determinants of health are important factors influencing care delivery, symptom management, and supportive care needs and also play an important role in the adoption and access to digital health solutions.41”
From Implementation of a remote symptom monitoring pathway in oncology care: analysis of real-world experience across 33 cancer centres in France and Belgium (2024) · cites this paper as [41]
Experimental — accuracy not yet measuredThe cited source says what the claim attributes to it.
In the citing paper
“Based on the Digital Health Equity Framework (Richardson et al., 2022), digital determinants of health (DDoHs) and social determinants of health (SDoHs) are intertwined factors that influence an individual’s ability and opportunity to engage with digital health tools.”
From Sociodemographics and Digital Health Literacy in Using Wearables for Health Promotion and Disease Prevention: Cross-Sectional Nationwide Survey in Germany (2025) · cites this paper as Richardson et al., 2022
The check wasn’t confident either way, so it gives no verdict — never disputed.
In the citing paper
“Because this study examined U.S.-based physicians using major commercial EHR platforms, the findings should be interpreted within this context40.”
From When better data meets better design: How EHR data usability and system usability shape physicians' cognitive load (2026) · cites this paper as [40]
Experimental — accuracy not yet measuredThe check wasn’t confident either way, so it gives no verdict — never disputed.
In the citing paper
“Nevertheless, these 2 frameworks involved experts from a single country in their development, which may limit their wider use.”
From The Digital Health Competencies in Medical Education Framework (2025) · cites this paper as [47]
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.
Citations
Cites
Self-efficacy: Toward a unifying theory of behavioral change
Bandura, A. (1977) · Psychological Review · doi:10.1037/0033-295x.84.2.191 · Cited by 43,925
Self-efficacy mechanism in human agency
Bandura, A. (1982) · American Psychologist · doi:10.1037/0003-066x.37.2.122 · Cited by 15,975
Levels of racism: a theoretic framework and a gardener's tale
(2000) · American Journal of Public Health · doi:10.2105/ajph.90.8.1212 · Cited by 2,626
Braveman, P., & Gruskin, S. (2003) · Journal of Epidemiology & Community Health · doi:10.1136/jech.57.4.254 · Cited by 1,949
Hidden in Plain Sight — Reconsidering the Use of Race Correction in Clinical Algorithms
Vyas, D. A., Eisenstein, L. G., & Jones, D. S. (2020) · New England Journal of Medicine · doi:10.1056/nejmms2004740 · Cited by 1,731
What types of interventions generate inequalities? Evidence from systematic reviews
Lorenc, T., Petticrew, M., Welch, V., & Tugwell, P. (2013) · Journal of Epidemiology and Community Health · doi:10.1136/jech-2012-201257 · Cited by 927
LaVeist, T. A., Nickerson, K. J., & Bowie, J. V. (2000) · Medical Care Research and Review · doi:10.1177/1077558700057001s07 · Cited by 918
Agarwal, R., Sambamurthy, V., & Stair, R. M. (2000) · Information Systems Research · doi:10.1287/isre.11.4.418.11876 · Cited by 834
Diffusion Of Innovations Theory, Principles, And Practice
Dearing, J. W., & Cox, J. G. (2018) · Health Affairs · doi:10.1377/hlthaff.2017.1104 · Cited by 757
The National Institute on Minority Health and Health Disparities Research Framework
Alvidrez, J., Castille, D. M., Laude-Sharp, M., Rosario, A. M., & Tabor, D. C. (2019) · American Journal of Public Health · doi:10.2105/ajph.2018.304883 · Cited by 740
Research works printed but not linked: 3
- Davis, F. Technology Acceptance Model For Empirically Testing New End-user Information Systems: Theory and Result. PhD thesis, Massachusetts Institute of Technology. (1986).
- Caldwell, B. et al. Web content accessibility guidelines (WCAG) 2.0. WWW Consort. (W3C) 290, 1–34 (2008).
- White, M., Adams, J. & Heywood, P. How and why do interventions that increase health overall widen inequalities within populations. Soc. Inequal. Public Health 65, 82 (2009).
Cited by
Sorted by citations
Items 101–200 of 604
Participatory AI Considerations for Advancing Racial Health Equity
Parker, A. G., Vardoulakis, L., Alla, J., & Harrington, C. (2025) · CHI Conference on Human Factors in Computing Systems · doi:10.1145/3706598.3713165 · Cited by 20
Eiselt, A.-K., Kirkendall, S., Xiong, E., Langner, D., & Goldfarb, M. B. (2026) · Frontiers in Digital Health · doi:10.3389/fdgth.2025.1713334 · Cited by 20
Interventions to enhance digital health equity in cardiovascular care
Mihan, A., & Spall, H. G. C. V. (2024) · Nature Medicine · doi:10.1038/s41591-024-02815-z · Cited by 15
Association of Daily Step Count and Postoperative Complication among All of Us Research Participants
Gehl, C. J., Verhagen, N. B., Shaik, T., Nimmer, K. F., Yang, X., Xing, Y., Taylor, B., Nataliansyah, M. M., Kerns, S. L., & Kothari, A. N. (2024) · Journal of the American College of Surgeons · doi:10.1097/xcs.0000000000001136 · Cited by 19
The Digital Revolution in Medicine: Applications in Cardio-Oncology
Echefu, G. C., Baťalík, L., Lukan, A. O., Shah, R., Nain, P., Guha, A., & Brown, S.-A. N. (2024) · Current Treatment Options in Cardiovascular Medicine · doi:10.1007/s11936-024-01059-x · Cited by 25
Wang, J., Mahe, J., Huo, Y., Huang, W., Liu, X., Zhao, Y. W., Huang, J., Shi, F., Li, Z., Jiang, D., et al. (2024) · Journal of Medical Internet Research · doi:10.2196/58735 · Cited by 14
A system-wide approach to digital equity: the Digital Access Coordinator program in primary care
Rodriguez, J. A., Zelen, M., Szulak, J., Moore, K., & Park, L. (2024) · Journal of the American Medical Informatics Association · doi:10.1093/jamia/ocae104 · Cited by 14
Design, implementation, and impact of a cirrhosis-specific remote patient monitoring program
Penrice, D. D., Hara, K. S., Chara, B. S., Kezer, C. A., Schmidt, K. A., Kassmeyer, B. A., Lennon, R. J., Rosedahl, J. K., Roellinger, D. L., Rattan, P., et al. (2024) · Hepatology Communications · doi:10.1097/hc9.0000000000000498 · Cited by 15
Swift, D. L., Ross, L. M., Laddu, D. R., Conroy, M. B., German, C. A., Evangelista, L. S., Marvel, F. A., Jerome, G. J., on behalf the American Heart Association Council on Lifestyle and Cardiometabolic Health, Council on Cardiovascular and Stroke Nursing, et al. (2026) · Circulation · doi:10.1161/cir.0000000000001441 · Cited by 13
Developing and scaling remote patient monitoring capacity in ambulatory practice
Singh, N., Lawrence, K., Andreadis, K., Twan, C., & Mann, D. M. (2024) · NEJM Catalyst · doi:10.1056/cat.23.0417 · Cited by 13
Self-citationMcGagh, D., Song, K., Yuan, H., Creagh, A. P., Fenton, S. A. M., Ng, W., Goldsack, J. C., Dixon, W. G., Doherty, A., & Coates, L. C. (2024) · The Lancet Rheumatology · doi:10.1016/s2665-9913(24)00186-3 · Cited by 13
LaMontagne, L. G., Doty, J. L., Diehl, D. C., Nesbit, T. S., Gage, N. A., Kumbkarni, N., & Leon, S. P. (2024) · Journal of Affective Disorders · doi:10.1016/j.jad.2024.09.014 · Cited by 13
Abejirinde, I. O., Kishimoto, V., Pfisterer, K. J., Uddin, N., McGuire, K., Brual, J., Merriman, K., Agarwal, P., Smith, J., Alfred, M. C., et al. (2025) · npj Digital Medicine · doi:10.1038/s41746-025-01731-x · Cited by 15
Wang, S., Killedar, A., Huben, A. V., Norris, S. D., & Wilson, A. J. (2026) · Frontiers in Public Health · doi:10.3389/fpubh.2025.1690117 · Cited by 25
Frank, T. L., Jabbari, J., Roll, S., Ferris, D., Terada, T., Gilbert, A. S., & McDermott, L. (2023) · Nutrients · doi:10.3390/nu15112496 · Cited by 12
Does clinical research account for diversity in deploying digital health technologies?
Coss, N. A., Gaitán, J. M., Adans-Dester, C. P., Carruthers, J., Fanarjian, M., Sassano, C., Manuel, S. P., & Perakslis, E. D. (2023) · npj Digital Medicine · doi:10.1038/s41746-023-00928-2 · Cited by 12
Kaihlanen, A., Virtanen, L., Kainiemi, E., & Heponiemi, T. (2023) · Journal of Medical Internet Research · doi:10.2196/51450 · Cited by 19
Rivera, B. D., Nurse, C., Shah, V., Roldan, C., Jumbo, A. E., Faysel, M. A., Levine, S. R., Kaufman, D. R., & Afable, A. (2023) · BMC Public Health · doi:10.1186/s12889-023-17255-6 · Cited by 14
Sharma, Y., Saha, A., & Goldsack, J. C. (2024) · JMIR Public Health and Surveillance · doi:10.2196/51980 · Cited by 15
Петретто, Д. Р., Carrogu, G. P., Gaviano, L., Berti, R., Pinna, M., Petretto, A. D., & Pili, R. (2024) · Journal of Public Health Research · doi:10.1177/22799036231220352 · Cited by 12
RetractedComplex role of individual digital skills and eHealth policies in shaping health policy
Leporatti, L., & Montefiori, M. (2024) · Socio-Economic Planning Sciences · doi:10.1016/j.seps.2024.101897 · Cited by 12
Lauffenburger, J. C., Khatib, R., Siddiqi, A., Albert, M. A., Keller, P. A., Samal, L., Glowacki, N., Everett, M. E., Hanken, K. E., Lee, S. G., et al. (2022) · American Heart Journal · doi:10.1016/j.ahj.2022.10.003 · Cited by 13
Ebenso, B., Namisango, E., Abejirinde, I.-O., & Allsop, M. J. (2025) · Frontiers in Digital Health · doi:10.3389/fdgth.2025.1634223 · Cited by 12
Poduval, S., Arnold, L., Carta, E., Nimmons, D., STRATTON, I. M., Shaw, M., Bradbury, K. J., & Stevenson, F. A. (2025) · BMC Public Health · doi:10.1186/s12889-025-21418-y · Cited by 17
Data management in the digital health environment scale development study*
DEMİRCİ, H. F., & YARDAN, E. D. (2023) · BMC Health Services Research · doi:10.1186/s12913-023-10205-3 · Cited by 15
Epidemiology, pathophysiology, and interventions for postpartum depression: Systematic review
Ji, Q.-Q., & Wang, M.-Y. (2025) · World Journal of Clinical Cases · doi:10.12998/wjcc.v13.i29.110948 · Cited by 16
Coumoundouros, C., Farrand, P. A., Sanderman, R., von Essén, L., & Woodford, J. (2024) · BMC Nephrology · doi:10.1186/s12882-023-03444-3 · Cited by 12
Digital tools for youth health promotion: principles, policies and practices in sub-Saharan Africa
Ferretti, A., Adjei, K. K., Ali, J., Atuire, C., Tambe, A. B., Banougnin, B. H., Cengiz, N., Gichoya, J. W., Jjingo, D., Juma, D. O., et al. (2024) · Health Promotion International · doi:10.1093/heapro/daae030 · Cited by 13
Valdes, D., Shanker, A., Hijazi, G., Mensah, D., Bockarie, T., Lazar, I., Ibrahim, S. A., Zolfagharinia, H., Procter, R., Spencer, R. A., et al. (2024) · Interactive Journal of Medical Research · doi:10.2196/45367 · Cited by 13
Stephan, J., Gehrmann, J., Dehner, J., Stullich, A., & Richter, M. (2025) · Public Health · doi:10.1016/j.puhe.2024.12.057 · Cited by 10
Long-Term Follow-Up Care After Treatment for Primary Breast Cancer: Strategies and Considerations
Franzoi, M. A., Janni, W. J., Erdmann-Sager, J., Kline‐Quiroz, C. M., Schäffler, H., Pfister, K., Fazzalari, A., & Vaz-Luís, I. (2025) · American Society of Clinical Oncology Educational Book · doi:10.1200/edbk-25-473472 · Cited by 10
Blanc, J., Hahn, K., Oliveira, B., Phillips, R., Duthely, L. M., Francois, L., Carrasco, M., Moore, J., Sternberg, C. A., Jean‐Louis, G., et al. (2023) · Sleep Medicine Clinics · doi:10.1016/j.jsmc.2023.05.009 · Cited by 10
Ward, M. P., Malloy, J. S., Kannmacher, C., & Steinhubl, S. R. (2023) · npj Digital Medicine · doi:10.1038/s41746-023-00964-y · Cited by 11
Ramasawmy, M., Sunkersing, D., Persson, D. R., Poole, L., Patel, K., Modha, S. H., Sajid, M., Gill, P. S., Stevenson, F. A., Khan, N., et al. (2024) · BMC Digital Health · doi:10.1186/s44247-024-00083-y · Cited by 10
Ethical Oversight of Data Science Health Research in Africa
Adebamowo, C., Callier, S., Maduka, O. C., Akintola, S., Kukucka, J., Arima, C. G., Ogundiran, T. O., Jegede, A. S., Akintola, A., Adeyemo, O., et al. (2024) · NEJM AI · doi:10.1056/aipc2400033 · Cited by 10
Merriweather, Lyytinen, K., Aron, D., & Cauley, M. R. (2026) · npj Digital Medicine · doi:10.1038/s41746-025-02243-4 · Cited by 9
“Because this study examined U.S.-based physicians using majorcommercialEHRplatforms,the fi ndingsshouldbeinterpretedwithin this context 40 .”
Pietrantonio, F., Florczak, M., Kühn, S., Karberg, K., Leung, T. I., Said-Criado, I., Sikorski, S., Ruggeri, M., Signorini, A., Rosiello, F., et al. (2024) · Frontiers in Public Health · doi:10.3389/fpubh.2024.1370555 · Cited by 12
Naccarella, L., Rawstorn, J. C., Kelly, J. T., Quested, E., Jenkinson, S., & Kwaśnicka, D. (2024) · Journal of Medical Internet Research · doi:10.2196/50491 · Cited by 9
Song, P., Jiang, D., Zhou, J., Zhu, Y., Manaf, R. A., Bojude, A., Agbré-Yacé, M. L., Ali, S., Femi-Ajao, O., Anyasodor, A. E., et al. (2026) · The Lancet Global Health · doi:10.1016/s2214-109x(25)00473-5 · Cited by 11
Digital health interventions to support women with opioid use disorder: A scoping review
Ward‐Peterson, M., Guille, C., Jafry, A., Gwanzura, T., Pryce, K., Lewis, P., & Brady, K. T. (2024) · Drug and Alcohol Dependence · doi:10.1016/j.drugalcdep.2024.111352 · Cited by 8
Digital health equity – A call to action for clinical and translational scientists
Rowland, S. A., Brewer, L. C., & Rosas, L. G. (2024) · Journal of Clinical and Translational Science · doi:10.1017/cts.2024.564 · Cited by 9
Stephan, J., Gehrmann, J., Stullich, A., Hoffmann, L., & Richter, M. (2024) · BMJ Open · doi:10.1136/bmjopen-2023-081390 · Cited by 9
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
Gogishvili, M., Arora, A. K., White, T. M., & Lazarus, J. V. (2024) · Communications Medicine · doi:10.1038/s43856-024-00645-1 · Cited by 8
Stakeholders’ perceptions of personal health data sharing: A scoping review
Alam, P., Bolio, A., Lin, L. K., & Larson, H. J. (2024) · PLOS Digital Health · doi:10.1371/journal.pdig.0000652 · Cited by 9
Gaber, S. N., Mattsson, E., Klarare, A., Dawes, J., Rapaport, P., & Women’s Advisory Board for Inclusion Health (2025) · The Gerontologist · doi:10.1093/geront/gnaf021 · Cited by 8
Tsukada, Y. T., Aoki‐Kamiya, C., Mizuno, A., Nakayama, A., Ide, T., Aoyama, R., Honye, J., Hoshina, K., Ikegame, T., Inoue, K., et al. (2025) · Circulation Journal · doi:10.1253/circj.cj-23-0890 · Cited by 10
Closing Hypertension Equity Gaps Through Digitally Inclusive Remote Patient Monitoring
Schoenthaler, A., Hack, R., Mandal, S., Calle, F. D. L., Elmaleh-Sachs, A., Nay, J., Colella, D., Fontil, V., Shahin, G., & Dapkins, I. P. (2025) · NEJM Catalyst · doi:10.1056/cat.24.0194 · Cited by 8
Self-citationZhai, S., Yuwen, W., Zyniewicz, T. L., Sonney, J., Hash, J. B., Chen, M., & Ward, T. M. (2025) · Digital Health · doi:10.1177/20552076251348579 · Cited by 7
Stakeholder-centric participation in large language models enhanced health systems
Wang, Z., Yan, R., Francis, S., Diaz, C., Flickinger, T., Lin, Y., Xiao, H., Barnes, L. E., & LeBaron, V. T. (2025) · npj Health Systems · doi:10.1038/s44401-025-00024-5 · Cited by 9
Monkman, H., & Lesselroth, B. (2025) · Healthcare Management Forum · doi:10.1177/08404704251356518 · Cited by 8
Qasrawi, R., Sabbah, H. A., Issa, G., Thwib, S., Amro, M., Atari, S., Tayyem, R., Bookari, K., Alawadhi, N., Allehdan, S., et al. (2025) · Frontiers in Digital Health · doi:10.3389/fdgth.2025.1555436 · Cited by 9
O’Connor, L., Dunkel, L., Weitz, A., Walkey, A. J., Lindenauer, P. K., & Soni, A. (2026) · PLOS Digital Health · doi:10.1371/journal.pdig.0001193 · Cited by 8
Developing digital mental health tools for youth with diabetes: an agenda for future research
Babbott, K. M., & Serlachius, A. S. (2023) · Frontiers in Clinical Diabetes and Healthcare · doi:10.3389/fcdhc.2023.1227332 · Cited by 10
Livingstone, K. M., Rawstorn, J. C., Partridge, S. R., Zhang, Y., Eric, O., Godrich, S. L., McNaughton, S. A., Hendrie, G. A., Dullaghan, K., Abbott, G., et al. (2024) · BMJ Open · doi:10.1136/bmjopen-2023-078001 · Cited by 9
Islam, M., Valiani, A. A., Datta, R. K., Chowdhury, M., & Turin, T. C. (2024) · Cambridge Quarterly of Healthcare Ethics · doi:10.1017/s096318012400015x · Cited by 9
Flores, J. S., Dalal, A. K., Sousa, J., Foer, D., Rodriguez, J. A., Plombon, S., Bates, D. W., Arcia, A., & Rudin, R. S. (2024) · Applied Clinical Informatics · doi:10.1055/s-0044-1788978 · Cited by 10
Casillas, A., & Abhat, A. (2024) · The Journal of Medicine Access · doi:10.1177/27550834231223024 · Cited by 9
The opportunities and challenges of women's digital health: A research agenda
Figueroa, C. A., Sundqvist, J., Mathieu, S., Farrokhnia, N., Nevin, D., & Andersson, S. W. (2023) · Health Policy and Technology · doi:10.1016/j.hlpt.2023.100814 · Cited by 10
Factors influencing Chinese doctors to use medical large language models
Qu, S., Liu, L., Zhou, M., Zhou, C., & Campy, K. S. (2024) · Digital Health · doi:10.1177/20552076241297237 · Cited by 7
Designing Health Recommender Systems to Promote Health Equity: A Socioecological Perspective
Figueroa, C. A., Torkamaan, H., Bhattacharjee, A., Hauptmann, H., Guan, K., & Sedrakyan, G. (2024) · Journal of Medical Internet Research · doi:10.2196/60138 · Cited by 7
Digital health equity: Crafting sustainable pathways
Pierce, R. L. (2025) · PLOS Digital Health · doi:10.1371/journal.pdig.0000703 · Cited by 9
Albury, K., & Mannix, S. (2025) · Health Promotion International · doi:10.1093/heapro/daaf013 · Cited by 7
Health equity in the digital age: Exploring health policy and inclusive digital care
Coetzer, J. A., Goedhart, N. S., Schuitmaker‐Warnaar, T. J., Dedding, C. W. M., & Zuiderent‐Jerak, T. (2025) · Health Policy and Technology · doi:10.1016/j.hlpt.2025.101039 · Cited by 7
Andreadis, K., Buderer, N. M. F., & Langford, A. T. (2025) · Journal of Medical Internet Research · doi:10.2196/62696 · Cited by 7
Mechael, P. (2025) · Women s Health Nursing · doi:10.4069/whn.2025.06.25 · Cited by 15
Applying the principle of justice in digital health
Yuguero, O., Ruiz-Trujillo, P., Esquerda, M., Terribas, N., & Aymerich, M. (2025) · npj Digital Medicine · doi:10.1038/s41746-025-01877-8 · Cited by 10
U-RWKV: Lightweight Medical Image Segmentation with Direction-Adaptive RWKV
Ye, H., Tang, F., Zhao, P., Huang, Z., Zhao, D., Bian, M., & Zhou, S. K. (2025) · Lecture notes in computer science · doi:10.1007/978-3-032-05141-7_59 · Cited by 7
Rodriguez, J. A., Palermo, N. E., Song, W., Lipsitz, S. R., Caballero, A. E., Samal, L., & Spartano, N. L. (2025) · Diabetes Technology & Therapeutics · doi:10.1177/15209156251379506 · Cited by 7
Behavioral Economics and Medication Adherence for Hypertension
Dodson, J. A., Adhikari, S., Schoenthaler, A., Shimbo, D., Berman, A. N., Levy, N., Hanley, K., Richardson, S. I., Varghese, A., Meng, Y., et al. (2025) · Journal of the American College of Cardiology · doi:10.1016/j.jacc.2025.10.062 · Cited by 7
Self-citationSchlett, C., Röttele, N., van der Keylen, P., Schöpf-Lazzarino, A. C., Klimmek, M., Körner, M., Schnitzius, K., Voigt-Radloff, S., Maun, A., Sofroniou, M., et al. (2022) · JMIR Formative Research · doi:10.2196/38748 · Cited by 7
Sun, Z., Sun, W., Gao, H., Fa, R., Chen, S., & Qian, D. (2023) · International Journal of Environmental Research and Public Health · doi:10.3390/ijerph20054022 · Cited by 9
Climate conscious health equity is essential to achieve climate-resilient digital healthcare
Lokmic‐Tomkins, Z., Borda, A., & Skouteris, H. (2024) · The Journal of Climate Change and Health · doi:10.1016/j.joclim.2024.100301 · Cited by 9
Gunn, R., Watkins, S. L., Boston, D., Rosales, A. G., Massimino, S., Navale, S. M., Fitzpatrick, S. L., Dickerson, J. F., Gold, R. B., Lee, G., et al. (2024) · JMIR Formative Research · doi:10.2196/55732 · Cited by 9
Health equity in heart failure
Vijay, A., & Yancy, C. W. (2024) · Progress in Cardiovascular Diseases · doi:10.1016/j.pcad.2024.01.005 · Cited by 7
Techquity: digital pathways to reach all people for medical research
Vogel, J. M., Kheterpal, V., & Topol, E. J. (2024) · The Lancet · doi:10.1016/s0140-6736(24)01875-0 · Cited by 6
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
Shifting focus to adolescent wellbeing and inclusive participation in the digital age
Partridge, S. R., Todd, A., Jia, S. S., & Raeside, R. (2025) · The Medical Journal of Australia · doi:10.5694/mja2.52653 · Cited by 6
Leclercq, V., Vandervliet, L., Schmitt, T., den Bulcke, M. V., & Delnord, M. (2025) · Frontiers in Public Health · doi:10.3389/fpubh.2025.1483706 · Cited by 6
Factors impacting electronic patient-generated data use in safety-net systems: a qualitative study
Khoong, E. C., Wong, J., Garcia, F., Olazo, K., Miles, M., Zeng, B., Lyles, C. R., & Sarkar, U. (2025) · Journal of the American Medical Informatics Association · doi:10.1093/jamia/ocaf079 · Cited by 6
Creating Digital Health Technology for Gender Equity: a Capabilities Approach
Jacobs, N. (2025) · Public Health Ethics · doi:10.1093/phe/phaf012 · Cited by 13
Piera-Jiménez, J., Creus, N. V., Costa, A. M., Vegas, X. M., Fageda, A. C., Farré, A., Herczeg, L., Parameswaran, L., Carot-Sans, G., & Valle, L. (2025) · Journal of Medical Internet Research · doi:10.2196/84129 · Cited by 7
Candio, P., & Ooms, T. (2025) · BMC Health Services Research · doi:10.1186/s12913-025-13696-4 · Cited by 8
AI Triage in Primary Care: Building Safer and More Equitable Real-World Evidence
Alamoudi, A. K., Kontopantelis, E., Zghebi, S. S., & Brown, B. C. (2026) · Journal of Medical Internet Research · doi:10.2196/88396 · Cited by 6
Precision cardiovascular medicine with big data and AI
Xu, Q., Li, Y., Zhu, M., Cai, Y., Cheng, X., Wan, M., Ju, J., Xu, Y., Li, Y., & Liu, Y. (2026) · npj Digital Medicine · doi:10.1038/s41746-026-02538-0 · Cited by 8
Andersson, S. W., Richardson, M. X., Stridsberg, S. L., Ryan, J. C., Sukums, F. K., & Goh, Y. S. (2022) · JMIR Research Protocols · doi:10.2196/40565 · Cited by 10
Telehealth’s Role Enabling Sustainable Innovation and Circular Economies in Health
Kalogeropoulos, D. (2023) · Telehealth and Medicine Today · doi:10.30953/thmt.v8.409 · Cited by 6
Digital Transformation in Measuring Social Determinants of Health
Liu, C., Wang, W. Y. C., & Khan, G. F. (2023) · Journal of Organizational and End User Computing · doi:10.4018/joeuc.328530 · Cited by 6
Baird, A. M., & Xia, Y. (2024) · Business & Information Systems Engineering · doi:10.1007/s12599-024-00867-6 · Cited by 6
Home oxygen monitoring and therapy: learning from the pandemic
Beaney, T. E., & Clarke, J. (2022) · Current Opinion in Critical Care · doi:10.1097/mcc.0000000000001010 · Cited by 7
Khan, A. S., Galea, S., & Mendez, I. M. (2025) · Digital Health · doi:10.1177/20552076251334422 · Cited by 6
Henson, C., Chapman, F., Shepherd, G., Carlson, B. L., Rambaldini, B., & Gwynne, K. G. (2023) · Journal of Medical Internet Research · doi:10.2196/50584 · Cited by 5
Burns, K., Bloom, S., Gilbert, C. A., Merner, B., Kalla, M., Sheri, S., Villanueva, C., Ikihele, A., Nazer, L. H., Sarmiento, R. F., et al. (2024) · JMIR Research Protocols · doi:10.2196/53855 · Cited by 5
Health Disparities: The Emerging Trends and Pressing Challenges
Dopelt, K. (2025) · European Journal of Investigation in Health Psychology and Education · doi:10.3390/ejihpe15010007 · Cited by 5
Yao, Y., Wang, Y., Liang, L., Yan, X., Dong, A., Guan, Q., & Luo, P. (2025) · Transactions in GIS · doi:10.1111/tgis.70089 · Cited by 5
Sun, Z., Chen, X., & Qian, D. (2025) · Journal of Medical Internet Research · doi:10.2196/60546 · Cited by 5
Puthenpura, V., Hunter, M., & Marks, A. M. (2025) · Pediatric Blood & Cancer · doi:10.1002/pbc.31909 · Cited by 5
Franzoi, M. A., Everhard, S., Gillanders, E., & Vaz-Luis, I. (2025) · ESMO Real World Data and Digital Oncology · doi:10.1016/j.esmorw.2025.100175 · Cited by 5
Digital management of diabetes global research trends: a bibliometric study
Zhu, S., Bian, H., Zhan, J., Ni, L., Huo, L., & Hu, J. (2025) · Frontiers in Medicine · doi:10.3389/fmed.2025.1620307 · Cited by 7
Digital health determinants & divide in the Arab world: A cross-sectional study
Qasrawi, R., Tayyem, R., Thwib, S., Issa, G., Amro, M., Ghoush, R. A., Sabbah, H. A., Bookari, K., Alawadhi, N., Allehdan, S., et al. (2025) · PLoS ONE · doi:10.1371/journal.pone.0338299 · Cited by 5
Metadata
- Authors
- Richardson, S., Lawrence, K., Schoenthaler, A. M., & Mann, D.
- Affiliations
- New York University (US)
- Corresponding author
- Richardson, Safiya
- Venue
- npj Digital Medicine
- Published
- 2022-08-18
- Volume
- 5
- Issue
- 1
- Pages
- 119-119
- ISSN
- 2398-6352 (ISSN-L)
- PMC
- PMC9387425
- OpenAlex
- W4292202284
- Cited by
- 607
- References
- 42
- Citations by year
- 2026: 193 · 2025: 183 · 2024: 149 · 2023: 71 · 2022: 9
- FWCI
- 14.32
- Type
- journal article
- Language
- en
- Open access
- gold
- doi.org
- Locations
- npj Digital Medicine (publishedVersion, cc-by)
- PubMed Central (publishedVersion, cc-by)
- PubMed (publishedVersion)
- DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion, cc-by-sa)
- Funders
- Agency for Healthcare Research and Quality (R01 HS026522)
- National Heart, Lung, and Blood Institute (K23HL145114)
- Topics
- Social Sciences › Health › Health disparities and outcomes
- Social Sciences › Health › Public Health and Social Inequalities
- Health Sciences › Health Professions › General Health Professions › Health Literacy and Information Accessibility
- Keywords
- digital health equity, digital determinants of health, health disparities, digital health tools, multilevel approach, root cause analysis, digital environment, health equity frameworks
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
