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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.
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“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]
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“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]
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“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
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“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]
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“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]
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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
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Seuren, L. M., van Dael, J., Shasha'h, S., Reidy, C., Shaw, S. E., & Papoutsi, C. (2026) · SSM - Qualitative Research in Health · doi:10.1016/j.ssmqr.2026.100767
Zilioli, S., & Wright, R. S. (2026) · The Journals of Gerontology Series B · doi:10.1093/geronb/gbag037
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Alexopoulos, G. S. (2026) · International Psychogeriatrics · doi:10.1016/j.inpsyc.2026.100214
Kamara, M., Taylor, J., Cooper, C. M., Eribo, T., Imperial, H., & Brown, K. K. (2026) · Health Equity · doi:10.1177/24731242261442842
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Thirugnanasambhandan, D., Chong, D. Z. Y., Tan, R. K. J., & Lab, T. C. (2026) · Springer eBooks · doi:10.1007/978-981-97-0821-5_170-1
Barreto, T. D. O., Júnior, E. B. D. O., Felipe, I. J. D. S., Paiva, J. C. D. L., Veras, N. V. R., Silva, L. D. M., Costa, J. M. B., de Aragão, E. S., Lima, T. S., Barros, C. D. C., et al. (2026) · Online Journal of Public Health Informatics · doi:10.2196/83494
Molina‐Recio, G., Jiménez, A. B. A., Pozo, A., Zafrilla-Sanchez, S., Alvarez-Moral, J., Velez-Leon, J.-L., Gonzalez-Illanes, R., & Molina‐Luque, R. (2026) · JMIR Diabetes · doi:10.2196/79648
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Seo, J. H., & Lee, S. J. (2026) · Asia-Pacific Journal of Oncology Nursing · doi:10.1016/j.apjon.2026.100971
Mohamed, Z. A., & Kamen, C. S. (2026) · Supportive Care in Cancer · doi:10.1007/s00520-026-10744-5
Aymerich, M., Barbiero, A., Yuguero, O., & Carrión, C. (2026) · Mètode: Revista de difusió de la investigació de la Universitat de Valencia · doi:10.7203/metode.16.31240
Okwei, A. N. N. (2026) · Frontiers in Digital Health · doi:10.3389/fdgth.2026.1785700 · Cited by 1
Livingstone, K. M., Partridge, S. R., Rawstorn, J. C., Dullaghan, K., Zhang, Y., Godrich, S. L., McNaughton, S. A., Hendrie, G. A., Blekkenhorst, L. C., Maddison, R., et al. (2026) · Nutrients · doi:10.3390/nu18111646
Santa, K., Gordon, R., Kara, B., Huber, J., Pollock, H., Catt, H., Jayakody, P., Khan, K., Harding, A., Kenyon, A., et al. (2026) · Public health reviews · doi:10.3389/phrs.2026.1608969
León, E. D., Calle, F. D. L., Mandal, S., Rosal, M. C., Nay, J., Colella, D., Dapkins, I. P., & Schoenthaler, A. (2026) · Journal of General Internal Medicine · doi:10.1007/s11606-026-10505-4
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Nona, P. J., Firos, J. R. B., Zografos, C., Schuuring, M. J., Bhatt, A., & Andrikopoulou, E. (2026) · Current Heart Failure Reports · doi:10.1007/s11897-026-00766-9
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Effiong, E. N., Gajere, J. B., Garkuwa, A., & Goje, A. (2026) · Research Square · doi:10.21203/rs.3.rs-9086544/v1
Kujansivu, K., Tolvanen, E., Haaga, T., Sääksvuori, L., Kortelainen, M., Nokso-Koivisto, O., & Koskela, T. (2026) · Scandinavian Journal of Primary Health Care · doi:10.1080/02813432.2026.2686721
Aggeletopoulou, I., Pastras, P., Tsaroucha, A. K., & Triantos, C. K. (2026) · Nutrients · doi:10.3390/nu18132036
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Diaz, C. M., Reed, K. L., Barnes, L. E., Flickinger, T., Truong, T. (. V., Wang, Z., & LeBaron, V. T. (2026) · Digital Health · doi:10.1177/20552076261464754
Moran, M. J., Gutierrez‐Colina, A. M., Jimenez, V., German-Palacios, E., Parrott, L., Thompson, T., Sanchez, N., Rzonca, A. J., Owen, J. J., Vargas, E., et al. (2026) · Prevention Science · doi:10.1007/s11121-026-01942-y
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Putri, K. N. A., Rondhianto, R., & Rifai, A. (2026) · Journal of Applied Nursing and Health · doi:10.55018/janh.v8i2.653
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Graves, C., Schoenthaler, A., Sweeney, G., Johanek, C., Meng, Y., Grant, E., Whiteson, J. H., George, B. J., Marzo, K. P., Kovell, L. C., et al. (2026) · Journal of Cardiopulmonary Rehabilitation and Prevention · doi:10.1097/hcr.0000000000001047
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Huang, J., Lei, T., Yang, R., Zha, Y., & Wang, Q. (2026) · Lecture notes in computer science · doi:10.1007/978-3-032-30549-7_5
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Denecke, K., Massicot, N., Salminen, P. T., Isomursu, M., & Rivera-Romero, O. (2026) · doi:10.2196/preprints.106951
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Franzoi, M. A., Michels, S., Ball, S., Barbier, A., Serhal, C., Bernatowiez, A., Ferreira, A., d’Andon, J. F., Gernier, F., Morel, A., et al. (2026) · Contemporary Clinical Trials · doi:10.1016/j.cct.2026.108407
Malhotra, S. (2026) · IntechOpen eBooks · doi:10.5772/intechopen.1015983
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Rehman, K., & Akash, M. S. H. (2026) · Elsevier eBooks · doi:10.1016/b978-0-443-45911-5.00005-2
O'Leary, J., Dunne, A., & O'Brien, S. (2025) · Archives of Pharmacy Practice · doi:10.51847/sgqoul1mc5
Li, Y., Huang, J., Zhang, X., Liu, Y., & Song, Q. (2026) · Frontiers in Pediatrics · doi:10.3389/fped.2026.1759723
Smith, J., Ayre, J., Bonner, C., Muscat, D. M., Shepherd, H. L., Hussain, E., Amani, H., Tracy, M., Weir, K. R., McFadden, K., et al. (2026) · Journal of Medical Internet Research · doi:10.2196/92842
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Tung, F.-W., & Jia, L.-M. (2026) · World · doi:10.3390/world7090143
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Andrade-Pfoccori, M. A. S., Díaz-Bravo, M. I., Veliz-Liendo, G. M., & Gallegos-Rejas, V. M. (2026) · Medical Education & Clinical Practice · doi:10.21142/mecp.2026.1.3.e033
Ahn, S. H. (2026) · Journal of Medical Internet Research · doi:10.2196/93519
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Razaq, S., & Allana, S. (2026) · PLoS ONE · doi:10.1371/journal.pone.0357612
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Gao, F., Li, Y., Li, R., Li, Y., Huang, Y., Deng, R., & Yan, C. (2026) · doi:10.2196/preprints.108709
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Boxall, C., Bishop, F. L., Alwan, N. A., Treweek, S., Griffiths, G. O., McGavin, J., Thorp, J., Mateen, N., & Bradbury, K. J. (2026) · Research Square · doi:10.21203/rs.3.rs-10974675/v1
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Zhou, Z., Geracitano, J., Zou, B., & Khairat, S. (2026) · Journal of Medical Internet Research · doi:10.2196/105190
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Rayan, R. Α., & Kimiagari, S. (2026) · Healthcare · doi:10.3390/healthcare14193268
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Arslan, S. (2026) · JAND Global Reports · doi:10.1016/j.jaglob.2026.100033
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 ›
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