Improving diabetic retinopathy screening in Africa: Patient satisfaction with teleophthalmology versus ophthalmologist-based screening
Why this work is in the frame
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Bibliographic record
Abstract
PURPOSE: To assess patient preference for diabetic retinopathy (DR) screening with teleophthalmology or face-to-face ophthalmologist evaluation in Nairobi, Kenya. MATERIALS AND METHODS: Fifty seven diabetic patients from a one-stop multidisciplinary diabetic clinic (consisting of a diabetologist, nurse educator, foot specialist, nutritionist, ophthalmologist, and neurologist) in Nairobi, Kenya were included if they had undergone both a teleophthalmology (stereoscopic digital retinal photographs graded by an ophthalmologist remotely) and a traditional clinical screening exam (face to face examination). A structured questionnaire with a 5-point Likert scale was developed in both English and Swahili. The questionnaire was administered over the telephone. Ten questions were used to compare patient experience and preferences between teleophthalmology and a traditional clinical examination for DR. A mean score >3.25 on the Likert scale was considered favourable. RESULTS: Successfully telephone contact was possible for 26 (58% male, 42% females) of the 57 patients. The mean ages of the male and female patients were 52.4 and 46.5 years respectively. Patients were satisfied with their teleophthalmology examination (mean 4.15 ± 0.97). Patients preferred the teleophthalmology option for future screenings (mean 3.42 ± 1.52). This preference was driven primarily by convenience, reduced examination time, and being able to visualize their own retina. CONCLUSION: In this study, diabetic patients preferred a teleophthalmology based screening over a traditional ophthalmologist-based screening. The use of teleophthalmology in Africa warrants further study and has the potential to become the screening model of choice. Cost effectiveness in comparison to an ophthalmologist-based screening also requires evaluation.
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Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it