Review of economic evaluations of teleophthalmology as a screening strategy for chronic eye disease in adults
Bibliographic record
Abstract
BACKGROUND/AIMS: Teleophthalmology is well positioned to play a key role in screening of major chronic eye diseases. Economic evaluation of cost-effectiveness of teleophthalmology, however, is lacking. This study provides a systematic review of economic studies of teleophthalmology screening for diabetic retinopathy (DR), glaucoma and macular degeneration. METHODS: Structured search of electronic databases and full article review yielded 20 cost-related articles. Sixteen articles fulfilled the inclusion criteria and were retained for a narrative review: 12 on DR, 2 on glaucoma and 2 on chronic eye disease. RESULTS: Teleophthalmology for DR yielded the most cost savings when compared with traditional clinic examination. The study settings varied among urban, rural and remote settings, community, hospital and health mobile units. The most important determinant of cost-effectiveness of teleophthalmology was the prevalence of DR among patients screened, indicating an increase of cost savings with the increase of screening rates. The required patient pool size to be screened varied from 110 to 3500 patients. Other factors potentially influencing cost-effectiveness of teleophthalmology were older patient age, regular screening and full utilisation of the equipment. Teleophthalmology for glaucoma was more cost-effective compared with in-person examination. Similarly, increasing number of glaucoma patients targeted for screening yielded more cost savings. CONCLUSIONS: This economic review provides supportive evidence of cost-effectiveness of teleophthalmology for DR and glaucoma screening potentially increasing screening accessibility especially for rural and remote populations. Special selection of the targeted screening population will optimise the cost-effectiveness of teleophthalmology.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.013 | 0.072 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.007 | 0.009 |
| Bibliometrics | 0.007 | 0.008 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.003 | 0.002 |
| Open science | 0.002 | 0.001 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.007 | 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".