Evidence map›Paper›PMID 41169341›Full record

ArticleJournal of diabetes and metabolic disorders2025

Diabetic retinopathy screening in Australian general practice: persistently low uptake despite national guidelines and equity initiatives.

Sanil Joseph, Wenyi Hu, Catherine Lingxue Jan, Balagiri Sundar, Zhuoting Zhu, Xianwen Shang, Hugh R Taylor, Thulasiraj Ravilla, Mingguang He

Abstract read
In one paragraph

Article in Journal of diabetes and metabolic disorders, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

What it found

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2 · The registry

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

9 authors.

Sanil JosephCentre for Eye Research Australia, Level 10/200 Victoria Parade, East Melbourne - 3002, VIC Australia.ORCID 0000-0002-8467-5544
Wenyi HuCentre for Eye Research Australia, Level 10/200 Victoria Parade, East Melbourne - 3002, VIC Australia.
Catherine Lingxue JanCentre for Eye Research Australia, Level 10/200 Victoria Parade, East Melbourne - 3002, VIC Australia.
Balagiri SundarLions Aravind Institute of Community Ophthalmology, Aravind Eye Care System, Madurai, India.
Zhuoting ZhuCentre for Eye Research Australia, Level 10/200 Victoria Parade, East Melbourne - 3002, VIC Australia.
Xianwen ShangSchool of Optometry, The Hong Kong Polytechnic University, Kowloon, Hong Kong SAR.
Hugh R TaylorMelbourne School of Population and Global Health, University of Melbourne, Melbourne, Australia.
Thulasiraj RavillaLions Aravind Institute of Community Ophthalmology, Aravind Eye Care System, Madurai, India.
Mingguang HeCentre for Eye Research Australia, Level 10/200 Victoria Parade, East Melbourne - 3002, VIC Australia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Purpose: To examine the geographic and demographic variability in diabetic retinopathy (DR) screening uptake in Australian general practice (GP) and assess factors influencing screening disparities. Methods: A retrospective, population-based observational study was conducted using Medical Benefits Schedule (MBS) claims data for DR screening using non-mydriatic fundus cameras, under items 12,325 and 12,326 from 2016 to 2024 across Australia. MBS data was obtained from Services Australia and the demographic and socioeconomic indicators from the Australian Bureau of Statistics (ABS). Screening uptake was stratified by state, age, gender, and socioeconomic indicators. The association between screening uptake and sociodemographic factors was assessed. Results: A total of 15,817 DR screenings were conducted under the two MBS items, representing only 1.2% of Australia's estimated diabetic population, highlighting a substantial unmet need. New South Wales and Western Australia had the highest total screening, while Tasmania recorded the lowest uptake. Screening uptake was highest in the < 25 age group (due to statistical inflation from low diabetes prevalence) and lowest in those aged ≥ 75 years. he COVID-19 pandemic contributed to a significant decline in screening uptake during 2020-2022, with partial recovery in 2023-2024. DR screening uptake showed no significant association with socio-demographic factors. Conclusion: Despite national guidelines, GP-led DR screening uptake remains low, with substantial geographic, demographic and temporal disparities in Australian general practice settings. Addressing systemic barriers, strengthening GP-led screening, and implementing targeted interventions are crucial for improving DR screening uptake in Australia. The inability to calculate per-capita screening among Aboriginal and Torres Strait Islander populations due to data limitations restricts equity analysis; future studies should address this gap.

Indexed as

AustraliaDiabetic retinopathyGeneral practiceHealth service disparitiesPrimary careScreening uptake

Identifiers

PMID41169341
PMCPMC12569310

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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.