Evidence map›Paper›PMID 41223405›Full record

ArticleJMIR research protocols2025

Digital Health Tool for Preventing Blindness From Diabetic Retinopathy: Protocol for a Qualitative Study.

Akua Frimpong, Alvaro Granados, Thomas Chang, Julia Fu, Serina S Applebaum, Shannan G Moore, Mahima Kaur, Bolatito Adepoju, Vignesh Hari Krishnan, Amanda Levi and 2 more

Abstract read
In one paragraph

Article in JMIR research protocols, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

12 authors.

Akua FrimpongDepartment of Ophthalmology and Visual Science, Yale School of Medicine, New Haven, CT, United States.ORCID 0009-0002-0308-1013
Alvaro GranadosDepartment of Ophthalmology and Visual Science, Yale School of Medicine, New Haven, CT, United States.ORCID 0009-0007-9600-0142
Thomas ChangDepartment of Ophthalmology and Visual Science, Yale School of Medicine, New Haven, CT, United States.ORCID 0000-0001-5067-1150
Julia FuDepartment of Ophthalmology and Visual Science, Yale School of Medicine, New Haven, CT, United States.ORCID 0000-0003-4351-9534
Serina S ApplebaumDepartment of Ophthalmology and Visual Science, Yale School of Medicine, New Haven, CT, United States.ORCID 0000-0001-9062-6178
Shannan G MooreDepartment of Ophthalmology and Visual Science, Yale School of Medicine, New Haven, CT, United States.ORCID 0009-0003-9585-7348
Mahima KaurDivision of Health Informatics, Department of Biostatistics, Yale School of Public Health, New Haven, CT, United States.ORCID 0000-0001-7147-4084
Bolatito AdepojuDivision of Health Informatics, Department of Biostatistics, Yale School of Public Health, New Haven, CT, United States.ORCID 0009-0000-3451-4091
Vignesh Hari KrishnanDivision of Health Informatics, Department of Biostatistics, Yale School of Public Health, New Haven, CT, United States.ORCID 0009-0005-4354-693X
Amanda LeviDivision of Health Informatics, Department of Biostatistics, Yale School of Public Health, New Haven, CT, United States.ORCID 0009-0009-7031-2927
Terika McCallDivision of Health Informatics, Department of Biostatistics, Yale School of Public Health, New Haven, CT, United States.ORCID 0000-0002-8143-5393
Kristen Harris NwanyanwuDepartment of Ophthalmology and Visual Science, Yale School of Medicine, New Haven, CT, United States.ORCID 0000-0003-1146-7733

Funding

Short Term Research Training: Students in Health Professional SchoolsT35DK104689 · NIDDK · YALE UNIVERSITY · PI LLOYD G CANTLEY, Sarwat I Chaudhry · 2015 to 2026
$2.6M
Undiagnosed Diabetic Retinopathy: Using Participatory Science to Design an Intervention for Patients at High-Risk for BlindnessK23EY030530 · NEI · YALE UNIVERSITY · PI NWANYANWU, KRISTEN · 2019 to 2023
$1.3M
NEI NIH HHS K23 EY030530NIDDK NIH HHS T35 DK104689
6 · The paper itself

Abstract

backgroundDiabetic retinopathy (DR), a leading cause of preventable blindness among working-age adults, leads to worse health outcomes among Black, Latine, and individuals with lower income in comparison to other ethnic, racial, and socioeconomic groups in the United States.

objectiveWe 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.

methodsWe conducted focus groups with individuals from the Greater New Haven, Connecticut area, aged 18 years or older, and diagnosed with diabetes to (1) conduct a comprehensive disease-management needs assessment and (2) inform the 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 DR.

resultsWe recruited and interviewed 19 individuals (13/19, 68% female; 9/19, 47% Black; 5/19, 26% Hispanic; 2/19, 11% Native American or Alaska Native) for 4 focus groups. Over 94% (18/19) had access to smart devices other than a computer. Participants self-reported mean hemoglobin A

conclusionsWe anticipate that this study will characterize the experiences of people living with diabetes. Using a community-led approach,we will continue to analyze the data that will generate insights regarding the key features, content, and benefits that are most important for the creation of a digital health tool for DR prevention. INTERNATIONAL REGISTERED REPORT IDENTIFIER (IRRID): DERR1-10.2196/65894.

Indexed as

BlindnessDiabetic RetinopathyAdultAgedDigital HealthFemaleFocus GroupsHumansMaleMass ScreeningMiddle AgedQualitative ResearchTelemedicineblindnesscommunity engagementcommunity-leddiabetes mellitusdiabetic retinopathydigital health tooldigital toolDMmHealthmobile appsmobile healthpreventable blindnesspreventionqualitative studyuser-centered design

Identifiers

PMID41223405
PMCPMC12658399

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.