Trial reportJournal of medical systems2019
Automated Reminders Improve Retinal Screening Rates in Low Income, Minority Patients with Diabetes and Correct the African American Disparity.
Trial report in Journal of medical systems, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.
What it found
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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.
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.
Who cites it
7 citing papers in PubMed.
- Pivotal Evaluation of an Artificial Intelligence System for Autonomous Detection of Referrable and Vision-Threatening Diabetic Retinopathy.JAMA network open · 2021Trial
- Early Detection of Glaucoma and Diabetic Retinopathy in Low-Resource Settings: Barriers and Solutions.Journal of clinical medicine · 2026Review
- Application of mobile health (mHealth) in the field of eye care: A scoping review of interventions used by individuals and health services to communicate.AJO international · 2025Article
- A Rapid Review of Interventions to Improve Care for People Who Are Medically Underserved with Multiple Sclerosis, Diabetic Retinopathy, and Lung Cancer.International journal of environmental research and public health · 2024Review
- Social determinants of health and health disparities in glaucoma: A review.Clinical & experimental ophthalmology · 2024Review
- Patient Characteristics Associated With Phone and Video Visits at a Tele-Urgent Care Center During the Initial COVID-19 Response: Cross-Sectional Study.Online journal of public health informatics · 2024Article
- Interventions to promote access to eyecare for non-dominant ethnic groups in high-income countries: a scoping review.BMJ global health · 2021Article
Corrections and comments
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Authors and funding
7 authors.
Funding
Abstract
Diabetic retinopathy (DR) is a major cause of blindness in the United States. Prevention relies on periodic DR screening, yet overall national screening rates are not optimal, especially in low-income, minority patients. We prospectively evaluated show rates for prescheduled teleretinal DR screening appointments in diabetic patients (n = 301) in a large safety-net clinic in South Central Los Angeles. Patients were predominately African American (n = 88) and Latino (n = 200). Patients received either usual care telephone reminders or automated reminder calls in addition to usual care. The overall mean (SEM) show rate for DR screening, irrespective of reminder method, was low: 54 + 1.03%. Show rates with usual care alone were 46.3 + 2.6%, and with automated reminders added, 59.9 + 1.47% (p = 0.036). Show rate with usual care amongst African Americans was 23.6 + 6.46% compared with 53.2 + 3.41% for Latinos (p = 0.025). When automated calling was added, the show rate doubled amongst African Americans, to 51.6 + 3.96% (p = 0.002) with a slightly higher, non-significant show rate in Latinos. In summary, show rates for pre-scheduled teleretinal DR screening appointments were low with usual care alone in a safety-net clinic, with evidence for a racial disparity amongst low-income, minority patients with diabetes. Addition of a pre-recorded automated reminder call improved show rates, and corrected much of the racial disparity observed. Greater focus on failed appointments as an explanation for low DR screening rates and racial disparities, and as a potentially remediable target with automated reminders, may improve DR screening rates and reduce blindness in low-income minority patients with diabetes.
Indexed as
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Registered trials
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.