Accepted for/Published in: JMIR Research Protocols
Date Submitted: Sep 2, 2024
Date Accepted: Jul 28, 2025
Warning: This is an author submission that is not peer-reviewed or edited.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.
Digital Health Tool for Preventing Blindness from Diabetic Retinopathy: Protocol for a Qualitative Study
ABSTRACT
Background:
Diabetic retinopathy (DR), a leading cause of preventable blindness among working-aged adults, leads to worse health outcomes among Black, Latine, and low-income individuals in comparison to other ethnic, racial, and socioeconomic groups in the United States.
Objective:
We aim to engage community members directly to identify barriers and facilitators of DR screening and co-design a digital health tool that is accessible, user-friendly, and community responsive.
Methods:
We conducted focus groups with individuals from the Greater New Haven, Connecticut area age 18 years and older and diagnosed with diabetes to (1) conduct a comprehensive disease-management needs assessment and (2) inform development of a community-responsive digital health tool to optimize DR education and to increase access to DR screening in high-risk populations. We transcribed the focus group interviews, used rapid qualitative analysis to generate themes, and completed affinity mapping to identify content and features for a digital health tool for preventing blindness from diabetic retinopathy.
Results:
As of December 2023, we completed 4 focus groups with 19 participants who have a diagnosis of diabetes.
Conclusions:
We anticipate that the study will characterize the experiences of people living with a chronic disease such as diabetes. Using a community led approach, we will analyze the information which will generate insights regarding the key benefits that are most important for the creation of a digital health tool.
Citation
Request queued. Please wait while the file is being generated. It may take some time.
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.