The DOI matches its Crossref record; 21 of the 22 references it cites were found in a registry or an index.
Disparities in Health Care and the Digital Divide
Open accessAbstract
Purpose of review Disparities in health outcomes are a well documented and worrisome part of our health care system. These disparities persist in spite of, and are occasionally exacerbated by, new technologies that are intended to improve health care. This results in a "digital divide" in which populations that have poorer health outcomes continue to have poorer health outcomes despite technological improvements.Recent findings In many ways, the digitical divide is already shrinking via improved access to internet and technology/process improvements. For example, people with schizophrenia, PTSD, and bipolar disorder have had their care successfully augmented by new technology. However, problems persist- being impoverished, female, and black all correlate with decreased probability of completing a telehealth visit, and millions of americans have insufficient internet access to complete telehealth visits. We must continue to utilize new technology in health care to improve outcomes, but we must also be wary to ensure those outcomes are equitable across different populations.
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“In 2013, a mobile medical app (WellDoc's BlueStar Rx) was cleared by the FDA as a prescription digital therapeutic (PDT) to support the management of type 2 diabetes by analyzing patient data, formulating personalized guidance, and summarizing data analytics to the healthcare team for clinical decision support.56”
From Digital health technologies and major depressive disorder (2023) · cites this paper as [56]
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Cites
Crossing the Quality Chasm: A New Health System for the 21st Century
Baker, A. (2001) · BMJ · doi:10.1136/bmj.323.7322.1192 · Cited by 10,779
Chaudhry, B., Wang, J., Wu, S., Maglione, M., Mojica, W., Roth, E., Morton, S. C., & Shekelle, P. G. (2006) · Annals of Internal Medicine · doi:10.7326/0003-4819-144-10-200605160-00125 · Cited by 3,159
Fiscella, K. A., Franks, P. J., Gold, M. R., & Clancy, C. M. (2000) · JAMA · doi:10.1001/jama.283.19.2579 · Cited by 1,219
Type 2 diabetes incidence and socio-economic position: a systematic review and meta-analysis
Agardh, E. E., Allebeck, P., Hallqvist, J., Moradi, T., & Sidorchuk, A. (2011) · International Journal of Epidemiology · doi:10.1093/ije/dyr029 · Cited by 1,113
Larrazabal, A. J., Nieto, N., Peterson, V., Milone, D. H., & Ferrante, E. (2020) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1919012117 · Cited by 685 · cited 2×
“Agostina and colleagues make the case that databases that are skewed toward one gender significantly over another are worse at diagnosing disease in the under represented population [22 (cid:129) ].”
BackgroundDesigning and evaluating interventions to eliminate racial and ethnic disparities in health care
Cooper, L. A., Hill, M. N., & Powe, N. R. (2002) · Journal of General Internal Medicine · doi:10.1046/j.1525-1497.2002.10633.x · Cited by 370
Amjad, S., MacDonald, I., Chambers, T., Osornio-Vargas, Á. R., Chandra, S., Voaklander, D. C., & Ospina, M. B. (2018) · Paediatric and Perinatal Epidemiology · doi:10.1111/ppe.12529 · Cited by 261
Telemedicine Outpatient Cardiovascular Care During the COVID-19 Pandemic
Eberly, L. A., Khatana, S. A. M., Nathan, A. S., Snider, C. K., Julien, H. M., Deleener, M. E., & Adusumalli, S. (2020) · Circulation · doi:10.1161/circulationaha.120.048185 · Cited by 243
Cheng, C. C., Beauchamp, A., Elsworth, G. R., & Osborne, R. H. (2020) · Journal of Medical Internet Research · doi:10.2196/18476 · Cited by 219
López, L., Green, A. R., Tan‐McGrory, A., King, R. K., & Betancourt, J. R. (2011) · The Joint Commission Journal on Quality and Patient Safety · doi:10.1016/s1553-7250(11)37055-9 · Cited by 192
Research works printed but not linked: 1
- Institute of Medicine. Unequal treatment: confronting racial and ethnic disparities in health care. National Academy Press, Washington, D.C 2003].
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Sorted by citations
Fitzpatrick, P. J. (2023) · Frontiers in Digital Health · doi:10.3389/fdgth.2023.1264780 · Cited by 416
Shaping the future of healthcare: ethical clinical challenges and pathways to trustworthy AI
Goktas, P., & Grzybowski, A. (2025) · Journal of Clinical Medicine · doi:10.3390/jcm14051605 · Cited by 336
Badr, J., Motulsky, A., & Denis, J. (2024) · Health Policy · doi:10.1016/j.healthpol.2024.105122 · Cited by 356
Digital Twins: The New Frontier for Personalized Medicine?
Cellina, M. I., Cè, M., Alì, M., Irmici, G., Ibba, S., Caloro, E., Fazzini, D., Oliva, G., & Papa, S. (2023) · Applied Sciences · doi:10.3390/app13137940 · Cited by 178
He, K., Mao, R., Lin, Q., Ruan, Y., Lan, X., Feng, M., & Cambria, E. (2025) · Information Fusion · doi:10.1016/j.inffus.2025.102963 · Cited by 147
Metadata
- Authors
- Saeed, S. A., & Masters, R. M.
- Affiliations
- East Carolina University (US)
- Corresponding author
- Saeed, Sy Atezaz
- ORCID
- Saeed, Sy Atezaz
- Venue
- Current Psychiatry Reports
- Published
- 2021-07-23
- Volume
- 23
- Issue
- 9
- Pages
- 61-61
- ISSN
- 1523-3812 (ISSN-L)
- 1535-1645
- PMC
- PMC8300069
- OpenAlex
- W3185220037
- Cited by
- 578
- References
- 22
- Citations by year
- 2026: 131 · 2025: 177 · 2024: 149 · 2023: 80 · 2022: 37 · 2021: 3
- FWCI
- 37.15
- Type
- journal article
- Language
- en
- Open access
- bronze
- doi.org
- Licence
- Locations
- Current Psychiatry Reports (publishedVersion)
- PubMed Central (publishedVersion)
- PubMed (publishedVersion)
- Topics
- Social Sciences › Health › Health disparities and outcomes
- Health Sciences › Medicine › Public Health, Environmental and Occupational Health › Telemedicine and Telehealth Implementation
- Health Sciences › Health Professions › General Health Professions › Health Literacy and Information Accessibility
- Keywords
- health care disparities, digital divide, telemedicine, internet access, health equity, schizophrenia, post-traumatic stress disorder, bipolar disorder, socioeconomic status, racial disparities, gender disparities, health technology
- MeSH terms
- Black or African American, Female, Humans, Telemedicine, Internet, Healthcare Disparities, Digital Divide
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