Prevalence and risk factors for being unscreened for diabetic retinopathy: A population-based study over a decade

Themes:
Public Health and Global OphthalmologyHot Topic
What:
Paper Presentation | Présentation d'article
When:
10:54 AM, Sunday 12 Jun 2022 (6 minutes)
Where:
How:

Authors: Tina Felfeli, MD, Glen Katsnelson, MSc, Alex Kiss, PhD, Lesley Plumptre, PhD, Michael J. Patterson, MSc, Efrem D. Mandelcorn, MD, FRCSC, Richard H. Glazier, MD, FRCPC, Michael H. Brent, MD, FRCSC, David T. Wong, MD, FRCSC. 

Author Disclosure Block: T. Felfeli, MD: None. G. Katsnelson, MSc: None. A. Kiss, PhD: None. L. Plumptre, PhD: None. M.J. Patterson, MSc: None. E.D. Mandelcorn, MD, FRCSC: None. R.H. Glazier, MD, FRCPC: None. M.H. Brent, MD, FRCSC: None. D.T. Wong, MD, FRCSC: None.

Abstract Body:

Purpose: While screening for diabetic retinopathy (DR) is essential for detecting preventable vision loss, several risk factors have been identified as barriers for adherence to screening. This study aimed to determine the population-level prevalence of individuals with diabetes screened and unscreened for DR in a developed country.

Study Design: Retrospective population-based repeated cross-sectional study.

Methods: This study used linked, health administrative data at ICES (formerly Institute for Clinical Evaluative Sciences), which houses data for all permanent residents in Ontario through the universal publicly funded healthcare services. All individuals with diabetes (type 1 and type 2) aged ≥20 years in the Ontario population were identified in 2011-2013 and 2017-2019 time periods. The main outcome measures included the prevalence of DR screening amongst Ontarians over the study period and the risk factors for being unscreened for DR based on sociodemographic factors. For comparison of proportions, chi-square and Mantel Haenszel tests were performed and reported along with the relative risk (RR) and associated 95% confidence intervals (CI).

Results: A total of 1,145,645 and 1,346,578 individuals with diabetes were identified in 2011-2013 and 2017-2019, respectively. The proportion of unscreened patients declined very slightly from 35% (405,967) in2011-2013 to 34% (455,027) in 2017-2019 of the population with diabetes (RR=0.967; 95% CI=0.964-0.9693; p<0.0001). Having more comorbidities was associated with higher screening rates; however, even amongst the highest healthcare users, 29% (2011-2013) and 33% (2017-2019) were unscreened at the two time-points. Young adults aged 20-39 years old had the highest proportion of unscreened patients (62% and 58% in 2011-2013 and 2017-2019, respectively). Additionally, those who had a lower income quintile (RR=1.039; 95% CI=1.036-1.044; p<0.0001), were recent immigrants (RR= 1.286; 95% CI=1.280-1.293; p<0.0001), lived in urban areas (RR=1.149; 95% CI=1.145-1.154; p<0.0001), had a mental health history (RR=1.117; 95% CI=1.112-1.122; p<0.0001), or lacked a connection to a primary care provider (RR=1.656; 95% CI=1.644-1.668; p<0.0001), had a higher risk of being unscreened.

Conclusions: Although the proportion of those unscreened has remained relatively the same over the past decade, there has been an increase in the number of individuals with diabetes who are unscreened for DR with the general population growth in Ontario, Canada. Amongst individuals with diabetes, young age, low-income status, immigration, residence in a large city, prior history of mental illness, and lack of access to primary care, are risk factors for being unscreened for DR. These findings may guide resource allocation aimed at improving the rates of DR screening for underserved populations.

Speaker
Ophthalmology Resident
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