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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...
Autores principales: | , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
The Association for Research in Vision and Ophthalmology
2020
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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. |
format | Online Article Text |
id | pubmed-7408802 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | The Association for Research in Vision and Ophthalmology |
record_format | MEDLINE/PubMed |
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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