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Predictors of Clinic Attendance After Community-Based Vision Screening
PURPOSE: The purpose of this study was to analyze appointment attendance rates and patient characteristics associated with follow-up adherence after referral from a community vision screening event. METHODS: A retrospective chart review of patients who attended a 2021 or 2022 community vision screen...
Autores principales: | , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
The Association for Research in Vision and Ophthalmology
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10627300/ https://www.ncbi.nlm.nih.gov/pubmed/37910081 http://dx.doi.org/10.1167/tvst.12.11.2 |
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author | Wasser, Lauren M. Cassidy, Julie Cecconi, Katherine McGinnis-Thomas, Dana Ayalon, Anfisa Zaheer, Haniah A. Waxman, Evan L. Sahel, José-Alain Williams, Andrew M. |
author_facet | Wasser, Lauren M. Cassidy, Julie Cecconi, Katherine McGinnis-Thomas, Dana Ayalon, Anfisa Zaheer, Haniah A. Waxman, Evan L. Sahel, José-Alain Williams, Andrew M. |
author_sort | Wasser, Lauren M. |
collection | PubMed |
description | PURPOSE: The purpose of this study was to analyze appointment attendance rates and patient characteristics associated with follow-up adherence after referral from a community vision screening event. METHODS: A retrospective chart review of patients who attended a 2021 or 2022 community vision screening event and were referred to the university clinic for further care. Appointments were offered without charge and scheduled at the event. Associations between patients’ clinical and demographic characteristics and appointment attendance were assessed by binary logistical regression. RESULTS: A total of 935 patients attended the annual community vision screening events held in 2021 and 2022. Of these patients, 117 (13%) were referred to the clinic for follow-up, of whom 56 (48%) attended their scheduled follow-up appointment. The most common reasons for clinic referral included cataract (12, 10%), diabetic retinopathy (11, 9%), glaucoma (9, 8%), and challenging refractive error (9, 8%). Health insurance and male gender were predictors of follow-up (odds ratio [OR] = 3.08, 95% confidence interval [CI] = 1.19–7.99, P = 0.021 and OR = 2.72, 95% CI = 1.10–6.61, P = 0.035, respectively). CONCLUSIONS: Half of the referred patients followed up after vision screening. Providing appointment scheduling at the point of care and offering follow-up care at no cost may help to promote clinic follow-up, but further assessment of barriers to regular eye care is warranted. Health insurance most strongly predicted successful clinic attendance. TRANSLATIONAL RELEVANCE: This study emphasizes the enduring impact of health insurance status as a barrier to accessing comprehensive vision care. |
format | Online Article Text |
id | pubmed-10627300 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | The Association for Research in Vision and Ophthalmology |
record_format | MEDLINE/PubMed |
spelling | pubmed-106273002023-11-07 Predictors of Clinic Attendance After Community-Based Vision Screening Wasser, Lauren M. Cassidy, Julie Cecconi, Katherine McGinnis-Thomas, Dana Ayalon, Anfisa Zaheer, Haniah A. Waxman, Evan L. Sahel, José-Alain Williams, Andrew M. Transl Vis Sci Technol Public Health PURPOSE: The purpose of this study was to analyze appointment attendance rates and patient characteristics associated with follow-up adherence after referral from a community vision screening event. METHODS: A retrospective chart review of patients who attended a 2021 or 2022 community vision screening event and were referred to the university clinic for further care. Appointments were offered without charge and scheduled at the event. Associations between patients’ clinical and demographic characteristics and appointment attendance were assessed by binary logistical regression. RESULTS: A total of 935 patients attended the annual community vision screening events held in 2021 and 2022. Of these patients, 117 (13%) were referred to the clinic for follow-up, of whom 56 (48%) attended their scheduled follow-up appointment. The most common reasons for clinic referral included cataract (12, 10%), diabetic retinopathy (11, 9%), glaucoma (9, 8%), and challenging refractive error (9, 8%). Health insurance and male gender were predictors of follow-up (odds ratio [OR] = 3.08, 95% confidence interval [CI] = 1.19–7.99, P = 0.021 and OR = 2.72, 95% CI = 1.10–6.61, P = 0.035, respectively). CONCLUSIONS: Half of the referred patients followed up after vision screening. Providing appointment scheduling at the point of care and offering follow-up care at no cost may help to promote clinic follow-up, but further assessment of barriers to regular eye care is warranted. Health insurance most strongly predicted successful clinic attendance. TRANSLATIONAL RELEVANCE: This study emphasizes the enduring impact of health insurance status as a barrier to accessing comprehensive vision care. The Association for Research in Vision and Ophthalmology 2023-11-01 /pmc/articles/PMC10627300/ /pubmed/37910081 http://dx.doi.org/10.1167/tvst.12.11.2 Text en Copyright 2023 The Authors https://creativecommons.org/licenses/by-nc-nd/4.0/This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License. |
spellingShingle | Public Health Wasser, Lauren M. Cassidy, Julie Cecconi, Katherine McGinnis-Thomas, Dana Ayalon, Anfisa Zaheer, Haniah A. Waxman, Evan L. Sahel, José-Alain Williams, Andrew M. Predictors of Clinic Attendance After Community-Based Vision Screening |
title | Predictors of Clinic Attendance After Community-Based Vision Screening |
title_full | Predictors of Clinic Attendance After Community-Based Vision Screening |
title_fullStr | Predictors of Clinic Attendance After Community-Based Vision Screening |
title_full_unstemmed | Predictors of Clinic Attendance After Community-Based Vision Screening |
title_short | Predictors of Clinic Attendance After Community-Based Vision Screening |
title_sort | predictors of clinic attendance after community-based vision screening |
topic | Public Health |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10627300/ https://www.ncbi.nlm.nih.gov/pubmed/37910081 http://dx.doi.org/10.1167/tvst.12.11.2 |
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