TY  - JOUR
AU  - Frimpong, Akua
AU  - Granados, Alvaro
AU  - Chang, Thomas
AU  - Fu, Julia
AU  - Moore, Shannan G
AU  - Applebaum, Serina
AU  - Adepoju, Bolatito
AU  - Kaur, Mahima
AU  - Hari Krishnan, Vignesh
AU  - Levi, Amanda
AU  - McCall, Terika
AU  - Nwanyanwu, Kristen Harris
PY  - 2025
DA  - 2025/6/13
TI  - Recommendations for Designing a Digital Health Tool for Blindness Prevention Among High-Risk Diabetic Retinopathy Patients: Qualitative Focus Group Study of Adults With Diabetes
JO  - JMIR Form Res
SP  - e65893
VL  - 9
KW  - diabetes
KW  - DM
KW  - diabetes mellitus
KW  - type 2 diabetes
KW  - type 1 diabetes
KW  - diabetic retinopathy
KW  - needs assessment
KW  - blindness
KW  - mHealth
KW  - mobile health
KW  - mobile application
KW  - smartphones
KW  - applications
KW  - digital health
KW  - digital technology
KW  - digital interventions
KW  - Health disparities
AB  - Background: Diabetic retinopathy (DR) is a leading cause of preventable blindness among working-aged adults. Black, Latine, and low-income individuals are screened less for DR, diagnosed later, treated less often, and go blind more than White individuals. Objective: This study aimed to engage members to co-design a digital health tool that is accessible, user-friendly, and culturally relevant, through a community-led research approach,. Methods: Using a qualitative approach, we conducted 4 semistructured focus group interviews with 19 individuals from the Greater New Haven area, aged 18 years or older, and diagnosed with diabetes. We transcribed and coded the focus group interviews and categorized them into themes using affinity mapping. The specific aims were to complete a comprehensive needs assessmen for the development of a community-responsive digital health tool and to increase access to information about 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 DR. Results: We interviewed 19 individuals (68% [13/19] female, 47% [9/19] Black, 26% [5/19]) Hispanic) in 4 focus groups. Over 80% (15/19) had access to smart devices, including smartphones (17/19, 89%), smartwatches (4/19, 21%), computers (14/19, 74%), and tablets (11/19, 58%). Many participants had access to multiple devices (17/19, 89%). Participants self-reported hemoglobin A1c (mean hemoglobin A1c 6.77, SD 1.93) and age (mean age 58.79, SD 19.54). Education levels among participants varied. Almost half of all the participants (9/19, 47%) completed some college, a little less than a quarter (4/19, 21%) achieved a high school diploma or general education development certificate, and a little less than a quarter (4/19, 21%) completed less than a high school equivalent of education. Household income levels across nearly all participants (14/19, 74%) were below US $50,000, but household size data were not collected. Participants reported extensive experience with diabetes or prediabetes (mean years with diabetes or prediabetes 17.06, SD 17.53). The themes obtained from coding focus group interviews included the mental toll of diabetes, peer support like accountability and local community events, education about diabetes management, barriers to DR screening like long wait times for appointments or cost of medications, and diet-related topics like how to find cost-effective healthy food Conclusions: DR is one of the leading causes of blindness, and many treatments exist. Despite the existence of treatments, historically marginalized populations experience poor health outcomes, including blindness. Our community-based approach aids in the creation of a culturally responsive digital health tool. 
SN  - 2561-326X
UR  - https://formative.jmir.org/2025/1/e65893
UR  - https://doi.org/10.2196/65893
DO  - 10.2196/65893
ID  - info:doi/10.2196/65893
ER  -