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Rates and Predictors of Nonadherence to Postophthalmic Screening Tertiary Referrals in Patients with Type 2 Diabetes

PURPOSE: To determine the rates and develop an initial risk prediction model for nonadherence to post screening ophthalmic referral (PSOR) in type 2 diabetes mellitus (T2DM) patients attending a national diabetic retinopathy screening program in Singapore. METHODS: Data from 2387 patients with T2DM...

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Autores principales: Sia, Josh Tjunrong, Gan, Alfred Tau Liang, Soh, BaoLin Pauline, Fenwick, Eva, Quah, Joanne, Sahil, Thakur, Tao, Yijin, Tan, Ngiap Chuan, Sabanayagam, Charumathi, Lamoureux, Ecosse L., Man, Ryan Eyn Kidd
Formato: Online Artículo Texto
Lenguaje:English
Publicado: The Association for Research in Vision and Ophthalmology 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7408802/
https://www.ncbi.nlm.nih.gov/pubmed/32821512
http://dx.doi.org/10.1167/tvst.9.6.15
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author Sia, Josh Tjunrong
Gan, Alfred Tau Liang
Soh, BaoLin Pauline
Fenwick, Eva
Quah, Joanne
Sahil, Thakur
Tao, Yijin
Tan, Ngiap Chuan
Sabanayagam, Charumathi
Lamoureux, Ecosse L.
Man, Ryan Eyn Kidd
author_facet Sia, Josh Tjunrong
Gan, Alfred Tau Liang
Soh, BaoLin Pauline
Fenwick, Eva
Quah, Joanne
Sahil, Thakur
Tao, Yijin
Tan, Ngiap Chuan
Sabanayagam, Charumathi
Lamoureux, Ecosse L.
Man, Ryan Eyn Kidd
author_sort Sia, Josh Tjunrong
collection PubMed
description PURPOSE: To determine the rates and develop an initial risk prediction model for nonadherence to post screening ophthalmic referral (PSOR) in type 2 diabetes mellitus (T2DM) patients attending a national diabetic retinopathy screening program in Singapore. METHODS: Data from 2387 patients with T2DM (mean [standard deviation] age: 66.5 [11] years; 52.5% female patients) who underwent teleophthalmic screening between 2010 and 2014 under the Singapore Integrated Diabetic Retinopathy Program were extracted from electronic medical records. All were referred for tertiary ophthalmic management at the Singapore National Eye Centre (SNEC). Nonadherence was defined as not attending the SNEC appointment within 6 months of the assigned appointment date. Regression analysis using traditional modified Poisson and conditional inference models was used to construct and evaluate the discriminative ability of the preliminary risk prediction model to identify nonadherent individuals. RESULTS: Nonadherence rates to PSOR was 12.7% (95% confidence interval, 11.4%–14.1%). In traditional multivariable models adjusted for sociodemographic, lifestyle, and ocular factors, nonadherent individuals had higher triglyceride levels and were less likely to have a referable eye condition (P < 0.05). This model was able to identify nonadherent individuals with an accuracy (area under the curve) of 84%. In contrast, the conditional inference model was able to achieve similar discriminative ability using only participants’ ocular health characteristics. CONCLUSIONS: The rates of nonadherence to PSOR in Singaporean individuals with T2DM is low, with better ocular health being strongly predictive of nonadherence in our Asian population. TRANSLATIONAL RELEVANCE: Our results may inform interventions to decrease nonadherence to PSOR.
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spelling pubmed-74088022020-08-19 Rates and Predictors of Nonadherence to Postophthalmic Screening Tertiary Referrals in Patients with Type 2 Diabetes Sia, Josh Tjunrong Gan, Alfred Tau Liang Soh, BaoLin Pauline Fenwick, Eva Quah, Joanne Sahil, Thakur Tao, Yijin Tan, Ngiap Chuan Sabanayagam, Charumathi Lamoureux, Ecosse L. Man, Ryan Eyn Kidd Transl Vis Sci Technol Article PURPOSE: To determine the rates and develop an initial risk prediction model for nonadherence to post screening ophthalmic referral (PSOR) in type 2 diabetes mellitus (T2DM) patients attending a national diabetic retinopathy screening program in Singapore. METHODS: Data from 2387 patients with T2DM (mean [standard deviation] age: 66.5 [11] years; 52.5% female patients) who underwent teleophthalmic screening between 2010 and 2014 under the Singapore Integrated Diabetic Retinopathy Program were extracted from electronic medical records. All were referred for tertiary ophthalmic management at the Singapore National Eye Centre (SNEC). Nonadherence was defined as not attending the SNEC appointment within 6 months of the assigned appointment date. Regression analysis using traditional modified Poisson and conditional inference models was used to construct and evaluate the discriminative ability of the preliminary risk prediction model to identify nonadherent individuals. RESULTS: Nonadherence rates to PSOR was 12.7% (95% confidence interval, 11.4%–14.1%). In traditional multivariable models adjusted for sociodemographic, lifestyle, and ocular factors, nonadherent individuals had higher triglyceride levels and were less likely to have a referable eye condition (P < 0.05). This model was able to identify nonadherent individuals with an accuracy (area under the curve) of 84%. In contrast, the conditional inference model was able to achieve similar discriminative ability using only participants’ ocular health characteristics. CONCLUSIONS: The rates of nonadherence to PSOR in Singaporean individuals with T2DM is low, with better ocular health being strongly predictive of nonadherence in our Asian population. TRANSLATIONAL RELEVANCE: Our results may inform interventions to decrease nonadherence to PSOR. The Association for Research in Vision and Ophthalmology 2020-05-19 /pmc/articles/PMC7408802/ /pubmed/32821512 http://dx.doi.org/10.1167/tvst.9.6.15 Text en Copyright 2020 The Authors http://creativecommons.org/licenses/by-nc-nd/4.0/ This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.
spellingShingle Article
Sia, Josh Tjunrong
Gan, Alfred Tau Liang
Soh, BaoLin Pauline
Fenwick, Eva
Quah, Joanne
Sahil, Thakur
Tao, Yijin
Tan, Ngiap Chuan
Sabanayagam, Charumathi
Lamoureux, Ecosse L.
Man, Ryan Eyn Kidd
Rates and Predictors of Nonadherence to Postophthalmic Screening Tertiary Referrals in Patients with Type 2 Diabetes
title Rates and Predictors of Nonadherence to Postophthalmic Screening Tertiary Referrals in Patients with Type 2 Diabetes
title_full Rates and Predictors of Nonadherence to Postophthalmic Screening Tertiary Referrals in Patients with Type 2 Diabetes
title_fullStr Rates and Predictors of Nonadherence to Postophthalmic Screening Tertiary Referrals in Patients with Type 2 Diabetes
title_full_unstemmed Rates and Predictors of Nonadherence to Postophthalmic Screening Tertiary Referrals in Patients with Type 2 Diabetes
title_short Rates and Predictors of Nonadherence to Postophthalmic Screening Tertiary Referrals in Patients with Type 2 Diabetes
title_sort rates and predictors of nonadherence to postophthalmic screening tertiary referrals in patients with type 2 diabetes
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7408802/
https://www.ncbi.nlm.nih.gov/pubmed/32821512
http://dx.doi.org/10.1167/tvst.9.6.15
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