Accepted for/Published in: JMIR Public Health and Surveillance
Date Submitted: Mar 29, 2023
Open Peer Review Period: Mar 29, 2023 - Apr 12, 2023
Date Accepted: Dec 12, 2023
(closed for review but you can still tweet)
Warning: This is an author submission that is not peer-reviewed or edited. Preprints - unless they show as "accepted" - should not be relied on to guide clinical practice or health-related behavior and should not be reported in news media as established information.
Designing Electronic Data Capture Systems for Sustainability in Low Resource Settings: Lessons Learned from Ethiopia and Myanmar
ABSTRACT
Electronic data capture systems are critical to sustaining, evaluating, and improving population health. Globally, some Low-and-Middle Income Countries face barriers to implementing data systems related to limited data infrastructure, human resources, or financial capital. This paper presents two case examples on the initial development of electronic data capture systems to improve population health from two global contexts– Ethiopia and Myanmar. We analyze these cases using Sittig and Singh’s Socio-technical Model for Studying Health Information Technology in Complex Adaptive Healthcare Systems. Both cases also describe how the electronic data capture systems facilitated continued population health research under dual crises—both civil unrest and the COVID-19 pandemic. Notably, the sociotechnical model highlights how critical social and cultural considerations are in technically designing electronic data capture systems to improve population health and surveillance. These applied cases offer practical lessons to inform data system efforts for similar global contexts.
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Copyright
© The authors. All rights reserved. This is a privileged document currently under peer-review/community review (or an accepted/rejected manuscript). Authors have provided JMIR Publications with an exclusive license to publish this preprint on it's website for review and ahead-of-print citation purposes only. While the final peer-reviewed paper may be licensed under a cc-by license on publication, at this stage authors and publisher expressively prohibit redistribution of this draft paper other than for review purposes.