A systematic approach to equity assessment for digital health interventions: case example of mobile personal health records
Open accessAbstract
Despite the increasing number of digital health interventions in low- and middle-income countries and other low-resource settings, little attention has been paid to systematically evaluating impacts of these interventions on health equity. In this article, we present a systematic approach for assessing equity impacts of digital health interventions modeled after the Health Equity Impact Assessment of the Ontario Ministry of Health and Long-Term Care. The assessment approach has 4 steps that address (1) scope, (2) potential equity impacts, (3) mitigation, (4) monitoring, and (5) dissemination strategies. The approach examines impacts on vulnerable and marginalized populations and considers various social determinants of health. Equity principles outlined by Whitehead and Dahlgren are used to ensure systematic considerations of all potential equity impacts. The digital health evaluation approach that is presented is applied to a case example of mobile personal health record application in Kenya.
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Facilities in areas with limited power, internet connectivity, and technical support are less likely to implement EHR systems.
“Facilities in areas with limited power, internet connectivity, and technical support are thus less likely to implement EHR systems [15].”
From mUzima Mobile Electronic Health Record (EHR) System: Development and Implementation at Scale (2021) · cites this paper as [15]
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Crenshaw, K. (2018) · Feminist Legal Theory · doi:10.4324/9780429500480-5 · Cited by 9,510 · see citing works
A scoping review of scoping reviews: advancing the approach and enhancing the consistency
Pham, M. T., Rajić, A., Greig, J. D., Sargeant, J. M., Papadopoulos, A., & McEwen, S. A. (2014) · Research Synthesis Methods · doi:10.1002/jrsm.1123 · Cited by 3,078 · see citing works
Patient Portals and Patient Engagement: A State of the Science Review
Irizarry, T., DeVito Dabbs, A., & Curran, C. R. (2015) · Journal of Medical Internet Research · doi:10.2196/jmir.4255 · Cited by 732 · see citing works
Latulippe, K., Hamel, C., & Giroux, D. (2017) · Journal of Medical Internet Research · doi:10.2196/jmir.6731 · Cited by 458 · see citing works
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Crawford, A., & Serhal, E. (2020) · Journal of Medical Internet Research · doi:10.2196/19361 · Cited by 630 · see citing works
Henni, S. H., Maurud, S., Fuglerud, K. S., & Moen, A. (2022) · BMC Public Health · doi:10.1186/s12889-021-12393-1 · Cited by 141 · see citing works
Iyamu, I., Gómez-Ramírez, O., Xu, A. X., Chang, H.-J., Watt, S., Mckee, G., & Gilbert, M. (2022) · DIGITAL HEALTH · doi:10.1177/20552076221102255 · Cited by 118 · see citing works
“44,72,134,145 Transparent communication and public engagement.”
de Souza Ferreira, E., de Aguiar Franco, F., dos Santos Lara, M. M., Levcovitz, A. A., Dias, M. A., Moreira, T. R., de Oliveira, A. H. M., & Cotta, R. M. M. (2023) · BMC Health Services Research · doi:10.1186/s12913-023-09879-6 · Cited by 42 · see citing works
mUzima Mobile Electronic Health Record (EHR) System: Development and Implementation at Scale
Were, M. C., Savai, S., Mokaya, B., Mbugua, S., Ribeka, N., Cholli, P., & Yeung, A. (2021) · Journal of Medical Internet Research · doi:10.2196/26381 · Cited by 29 · see citing works
“Facilities in areas with limited power, internet connectivity, and technical support are thus less likely to implement EHR systems [15].”
BackgroundSelf-citation
- Authors
- Were, M. C., Sinha, C., & Catalani, C.
- Affiliations
- Vanderbilt University Medical Center (US)
- International Development Research Centre (CA)
- IDEO (United States) (US)
- Corresponding author
- Were, Martin C
- Venue
- Journal of the American Medical Informatics Association
- Publisher
- Oxford University Press (OUP)
- Published
- 2019-06-12
- Volume
- 26
- Issue
- 8-9
- Pages
- 884-890
- ISSN
- 1067-5027 (ISSN-L)
- 1527-974X
- PMC
- PMC7647229
- OpenAlex
- W2953342969
- Cited by
- 36
- References
- 4
- Citations by year
- 2026: 3 · 2025: 1 · 2024: 9 · 2023: 8 · 2022: 5 · 2021: 6 · 2020: 3 · 2019: 1
- FWCI
- 5.11
- Type
- journal article
- Language
- en
- Open access
- green
- www.ncbi.nlm.nih.gov
- Licence
- academic.oup.com/journals/pages/open_access/funder_policies/chorus/standard_publication_model (vor)
- Locations
- Journal of the American Medical Informatics Association (publishedVersion)
- PubMed Central (publishedVersion)
- PubMed (publishedVersion)
- Funders
- International Development Research Centre (106229-003)
- Topics
- Health Sciences › Health Professions › General Health Professions › Mobile Health and mHealth Applications
- Social Sciences › Economics, Econometrics and Finance › Economics and Econometrics › Health Systems, Economic Evaluations, Quality of Life
- Health Sciences › Health Professions › Health Information Management › Electronic Health Records Systems
- Keywords
- health equity, digital health interventions, low- and middle-income countries, vulnerable populations, social determinants of health, equity principle, health technology assessment, Kenya
- MeSH terms
- Smartphone, Health Equity, Internet Access, Developing Countries, Health Services Accessibility, Humans, Kenya, Internet, Health Records, Personal, Electronic Health Records
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