Cargando…

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...

Descripción completa

Detalles Bibliográficos
Autores principales: Wasser, Lauren M., Cassidy, Julie, Cecconi, Katherine, McGinnis-Thomas, Dana, Ayalon, Anfisa, Zaheer, Haniah A., Waxman, Evan L., Sahel, José-Alain, Williams, Andrew M.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: The Association for Research in Vision and Ophthalmology 2023
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
_version_ 1785131510077063168
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
work_keys_str_mv AT wasserlaurenm predictorsofclinicattendanceaftercommunitybasedvisionscreening
AT cassidyjulie predictorsofclinicattendanceaftercommunitybasedvisionscreening
AT cecconikatherine predictorsofclinicattendanceaftercommunitybasedvisionscreening
AT mcginnisthomasdana predictorsofclinicattendanceaftercommunitybasedvisionscreening
AT ayalonanfisa predictorsofclinicattendanceaftercommunitybasedvisionscreening
AT zaheerhaniaha predictorsofclinicattendanceaftercommunitybasedvisionscreening
AT waxmanevanl predictorsofclinicattendanceaftercommunitybasedvisionscreening
AT saheljosealain predictorsofclinicattendanceaftercommunitybasedvisionscreening
AT williamsandrewm predictorsofclinicattendanceaftercommunitybasedvisionscreening