{"id":2043,"date":"2022-05-13T00:00:00","date_gmt":"2022-05-13T04:00:00","guid":{"rendered":"https:\/\/icesontario.wpengine.com\/journal-articles\/prevalence-and-predictors-for-being-unscreened-for-diabetic-retinopathy-a-population-based-study-over-a-decade\/"},"modified":"2023-06-14T20:06:17","modified_gmt":"2023-06-15T00:06:17","slug":"prevalence-and-predictors-for-being-unscreened-for-diabetic-retinopathy-a-population-based-study-over-a-decade","status":"publish","type":"journal_article","link":"https:\/\/www.ices.on.ca\/fr\/publications\/journal-articles\/prevalence-and-predictors-for-being-unscreened-for-diabetic-retinopathy-a-population-based-study-over-a-decade\/","title":{"rendered":"Prevalence and predictors for being unscreened for diabetic retinopathy: a population-based study over a decade"},"content":{"rendered":"

Objective<\/strong> — To determine the population-level predictors for being unscreened for diabetic retinopathy (DR) among individuals with diabetes in a developed country.<\/p>\n

Design<\/strong> — A retrospective population-based repeated-cross-sectional study.<\/p>\n

Participants<\/strong> — All individuals with diabetes (types 1 and 2) aged ≥20 years in the universal healthcare system in Ontario were identified in the 2011–2013 and 2017–2019 time periods.<\/p>\n

Methods<\/strong> — The Mantel–Haenszel test was used for the relative risk (RR) comparison of subcategories stratified by the 2 cross-sectional time periods.<\/p>\n

Results<\/strong> — 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 patients unscreened for DR declined very slightly from 35% (n = 405 967) in 2011–2013 to 34% (n = 455 027) in 2017–2019 of the population with diabetes (RR = 0.967; 95% CI, 0.964–0.9693; p < 0.0001). Young adults aged 20–39 years of age 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.<\/p>\n

Conclusions<\/strong> — This population-based study suggests that over 1 decade, 33% of individuals with diabetes are unscreened for DR, and young age, low income, immigration, residing in a large city, mental health illness, and no primary care access are the main predictors.<\/p>\n","protected":false},"excerpt":{"rendered":"

Objective — To determine the population-level predictors for being unscreened for diabetic retinopathy (DR) among individuals with diabetes in a developed country. Design — A retrospective population-based repeated-cross-sectional study. Participants — All individuals with diabetes (types 1 and 2) aged ≥20 years in the universal healthcare system in Ontario were identified in the 2011–2013 and […]<\/p>\n","protected":false},"template":"","migration-helper-automated":[],"migration-manual":[],"topic":[],"migration-helper-qa-sample-set":[],"class_list":["post-2043","journal_article","type-journal_article","status-publish","hentry"],"acf":{"citation":"Felfeli Y, Katsnelson G, Kiss A, Plumptre L, Paterson JM, Ballios BG, Mandelcorn ED, Glazier RH, Brent MH, Wong DT. Can J Ophthalmol<\/em>. 2022; May 13 [Epub ahead of print].","source_url":"https:\/\/doi.org\/10.1016\/j.jcjo.2022.04.002","ices_scientist":[1250,1095,1100,1143],"site":[6733],"research_program":[6747],"news_release":[],"journal_article":[],"atlas":[],"research_report":[],"infographic":[],"video":[],"downloads":null,"links":null,"sitecore_item_id":"A0B5BEC1-271E-4785-B35B-DA5B62FC0FE1","sitecore_item_name":"Prevalence-and-predictors-for-being-unscreened-for-diabetic-retinopathy","sitecore_field_values":"{\n \"Title\": \"Prevalence and predictors for being unscreened for diabetic retinopathy: a population-based study over a decade\",\n \"Short title\": \"Prevalence and predictors for being\",\n \"Summary\": \"The study objective was to determine the population-level predictors for being unscreened for diabetic retinopathy among individuals with diabetes in a developed country.rn\",\n \"Citation\": \"

Felfeli Y, Katsnelson G, Kiss A, Plumptre L, Paterson JM, Ballios BG, Mandelcorn ED, Glazier RH, Brent MH, Wong DT. Can J Ophthalmol<\/em>. 2022; May 13 [Epub ahead of print]. DOI: https:\/\/doi.org\/10.1016\/j.jcjo.2022.04.002<\/a><\/p>\",\n \"Abstract\": \"

Objective<\/strong> — To determine the population-level predictors for being unscreened for diabetic retinopathy (DR) among individuals with diabetes in a developed country.<\/p>n

Design<\/strong> — A retrospective population-based repeated-cross-sectional study.<\/p>n

Participants<\/strong> — All individuals with diabetes (types 1 and 2) aged ≥20 years in the universal healthcare system in Ontario were identified in the 2011–2013 and 2017–2019 time periods.<\/p>n

Methods<\/strong> — The Mantel–Haenszel test was used for the relative risk (RR) comparison of subcategories stratified by the 2 cross-sectional time periods.<\/p>n

Results<\/strong> — 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 patients unscreened for DR declined very slightly from 35% (n = 405 967) in 2011–2013 to 34% (n = 455 027) in 2017–2019 of the population with diabetes (RR = 0.967; 95% CI, 0.964–0.9693; p < 0.0001). Young adults aged 20–39 years of age 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.<\/p>n

Conclusions<\/strong> — This population-based study suggests that over 1 decade, 33% of individuals with diabetes are unscreened for DR, and young age, low income, immigration, residing in a large city, mental health illness, and no primary care access are the main predictors.<\/p>\",\n \"Research Programs\": \"{01CEA7E5-3297-4E7A-AFE4-FB1F9AD394CE}\",\n \"ICES Locations\": \"{4FCAABBA-14A5-42E6-8F33-BC6C2F1D9908}\",\n \"ICES Scientists\": \"{2C81C93C-B401-432B-8741-83841744D4CA}|{961C7CF5-612D-4A1A-ACD8-9933C17397A9}|{4A1034A0-5248-46A2-805E-20FBC57B1237}|{3D4262B7-0230-4B61-9666-5A67D5A56407}\",\n \"Posted Date\": \"20220513T000000\",\n \"Show on Publications Landing Page\": \"1\"\n}","previous_url":"https:\/\/www.ices.on.ca\/Publications\/Journal-Articles\/2022\/May\/Prevalence-and-predictors-for-being-unscreened-for-diabetic-retinopathy"},"yoast_head":"\nICES | Prevalence and predictors for being unscreened for diabetic retinopathy: a population-based study over a 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