Cited by 218Health Systems, Economic Evaluations, Quality of LifeRetinal Diseases and TreatmentsRetinal Imaging and Analysis

Cost-effectiveness of a National Telemedicine Diabetic Retinopathy Screening Program in Singapore

Nguyen, Hai V., Tan, Gavin Siew Wei, Tapp, Robyn Jennifer, Mital, Shweta, Ting, Daniel Shu Wei, Wong, Hon Tym, Tan, Colin S., Laude, Augustinus +5 more·2016·Ophthalmology

Abstract

Purpose To determine the incremental cost-effectiveness of a new telemedicine technician-based assessment relative to an existing model of family physician (FP)-based assessment of diabetic retinopathy (DR) in Singapore from the health system and societal perspectives. Design Model-based, cost-effectiveness analysis of the Singapore Integrated Diabetic Retinopathy Program (SiDRP). Participants A hypothetical cohort of patients aged 55 years with type 2 diabetes previously not screened for DR. Methods The SiDRP is a new telemedicine-based DR screening program using trained technicians to assess retinal photographs. We compared the cost-effectiveness of SiDRP with the existing model in which FPs assess photographs. We developed a hybrid decision tree/Markov model to simulate the costs, effectiveness, and incremental cost-effectiveness ratio (ICER) of SiDRP relative to FP-based DR screening over a lifetime horizon. We estimated the costs from the health system and societal perspectives. Effectiveness was measured in terms of quality-adjusted life-years (QALYs). Result robustness was calculated using deterministic and probabilistic sensitivity analyses. Main outcome measures The ICER. Results From the societal perspective that takes into account all costs and effects, the telemedicine-based DR screening model had significantly lower costs (total cost savings of S$173 per person) while generating similar QALYs compared with the physician-based model (i.e., 13.1 QALYs). From the he…

Integrity signals

Registry

Crossref · 10.1016/j.ophtha.2016.08.021

Cites

Statistics

Recomputing p-values needs the paper’s full text.

Claims the paper makes

This paper’s full text isn’t openly available, so its claims and self-check weren’t run. The registry and citation checks still apply.

Claims other papers make about this one

Each is checked against this paper’s own text: does it say what the citing paper says it does?

Cited by

Sorted by citations

Authors
Nguyen, H. V., Tan, G. S. W., Tapp, R. J., Mital, S., Ting, D. S. W., Wong, H. T., Tan, C. S., Laude, A., Tai, E. S., Tan, N. C., Finkelstein, E. A., Wong, T. Y., & Lamoureux, E. L.
Affiliations
  • Memorial University of Newfoundland (CA)
  • Singapore National Eye Center (SG)
  • The University of Melbourne (AU)
  • Duke-NUS Medical School (SG)
  • National University of Singapore (SG)
  • Tan Tock Seng Hospital (SG)
  • SingHealth Polyclinics (SG)
Corresponding author
Lamoureux, Ecosse L.
Venue
Ophthalmology
Publisher
Elsevier BV
Published
2016-12
Volume
123
Issue
12
Pages
2571-2580
ISSN
0161-6420 (ISSN-L)
OpenAlex
W2528856486
Cited by
218
References
0
Citations by year
2026: 15 · 2025: 21 · 2024: 28 · 2023: 33 · 2022: 32 · 2021: 27 · 2020: 25 · 2019: 16 · 2018: 11 · 2017: 9
FWCI
23.35
Type
journal article
Language
en
Open access
closed
Locations
  • Ophthalmology (publishedVersion)
  • PubMed (publishedVersion)
Topics
  • Social Sciences › Economics, Econometrics and Finance › Economics and Econometrics › Health Systems, Economic Evaluations, Quality of Life
  • Health Sciences › Medicine › Ophthalmology › Retinal Diseases and Treatments
  • Health Sciences › Medicine › Radiology, Nuclear Medicine and Imaging › Retinal Imaging and Analysis
Keywords
diabetic retinopathy screening, telemedicine, cost-effectiveness, type 2 diabetes, fundus photography, quality-adjusted life years, primary care, health system costs, social costs
MeSH terms
Cost-Benefit Analysis, Diabetes Mellitus, Type 2, Diabetic Retinopathy, Female, Humans, Male, Markov Chains, Mass Screening, Middle Aged, National Health Programs, Singapore, Health Care Costs, Telemedicine, Quality-Adjusted Life Years

About these checks

Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

Statistics and arithmetic are recomputed, not judged.

Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.

What counts as a claim ›How we measure confidence ›How we check this ›

Are you an author, or do you see a problem with this page? Request a review