Analysis of Socioeconomic Factors Affecting Follow-Up in a Glaucoma Screening Program
Patrick C Staropoli, 1 Richard K Lee, 1 Zachary A Kroger, 2 Karina Somohano, 3 Matthew Feldman, 4 Jennifer D Verriotto, 1 Adam Aldahan, 5 Potyra R Rosa, 1 William J Feuer, 1 D Diane Zheng, 6 David J Lee, 1, 6 Byron L Lam 1 1Bascom Palmer Eye Institute, University of Miami Miller School of Medicine,...
Main Authors: | , , , , , , , , , , , |
---|---|
Format: | Article |
Language: | English |
Published: |
Dove Medical Press
2021-12-01
|
Series: | Clinical Ophthalmology |
Subjects: | |
Online Access: | https://www.dovepress.com/analysis-of-socioeconomic-factors-affecting-follow-up-in-a-glaucoma-sc-peer-reviewed-fulltext-article-OPTH |
_version_ | 1819007432896020480 |
---|---|
author | Staropoli PC Lee RK Kroger ZA Somohano K Feldman M Verriotto JD Aldahan A Rosa PR Feuer WJ Zheng DD Lee DJ Lam BL |
author_facet | Staropoli PC Lee RK Kroger ZA Somohano K Feldman M Verriotto JD Aldahan A Rosa PR Feuer WJ Zheng DD Lee DJ Lam BL |
author_sort | Staropoli PC |
collection | DOAJ |
description | Patrick C Staropoli, 1 Richard K Lee, 1 Zachary A Kroger, 2 Karina Somohano, 3 Matthew Feldman, 4 Jennifer D Verriotto, 1 Adam Aldahan, 5 Potyra R Rosa, 1 William J Feuer, 1 D Diane Zheng, 6 David J Lee, 1, 6 Byron L Lam 1 1Bascom Palmer Eye Institute, University of Miami Miller School of Medicine, Miami, FL, USA; 2Ophthalmology Department, Baylor College of Medicine, Houston, TX, USA; 3Ophthalmology Department, New York Presbyterian Hospital, New York, NY, USA; 4Neurology Department, University of Miami Miller School of Medicine, Miami, FL, USA; 5Dermatology Department, University of Minnesota, Minneapolis, MN, USA; 6Department of Public Health Sciences, University Miami School of Medicine, Miami, FL, USACorrespondence: Byron L LamBascom Palmer Eye Institute, 900 NW 17 Street, Miami, FL, 33136, USATel +1 305-326-6021Fax +1 305 326 6114Email blam@med.miami.eduPurpose: To determine what socioeconomic factors affect follow-up in a glaucoma screening program.Patients and Methods: This was a retrospective cohort study of six health fairs in South Florida from October 2012 to March 2013 among socially and economically disadvantaged populations. Visual acuity (VA), intraocular pressure (IOP), cup-to-disc ratio (CDR), and visual field testing were obtained to identify glaucoma suspects. Glaucoma suspects were defined as having intraocular pressure ≥ 24 mm Hg, cup-to-disc ratio of ≥ 0.6 in either eye, or glaucomatous defects on visual field testing. In July 2015, telephone surveys were administered to assess follow up and socioeconomic factors.Results: Seventy-two out of 144 (50%) glaucoma suspects responded to the survey and were included in the analysis. Of the 72 respondents, average age was 52.8 years old and 65% were female. The most common race was African American (69%) and ethnicity was Haitian (51%). Glaucoma suspects who followed up were significantly more likely to have health insurance compared to those who did not follow up (74% vs 43%, p = 0.014). No significant difference in follow-up based on age (p = 0.125), education (p = 0.151), gender (p = 0.48), or ethnicity (p = 0.707) was identified. Of the 30 respondents, who did not follow up, the most common reasons were “no insurance” (57%, 17/30) and “not worried” (33%, 10/30).Conclusion: Insurance was the main socioeconomic factor in determining whether glaucoma suspects followed up after community health screenings. Streamlining social services could increase clinical access of glaucoma suspects.Keywords: epidemiology, follow-up, glaucoma, socioeconomics |
first_indexed | 2024-12-21T00:24:30Z |
format | Article |
id | doaj.art-8c3e406a5aa34540b32bbc8a83d4b0da |
institution | Directory Open Access Journal |
issn | 1177-5483 |
language | English |
last_indexed | 2024-12-21T00:24:30Z |
publishDate | 2021-12-01 |
publisher | Dove Medical Press |
record_format | Article |
series | Clinical Ophthalmology |
spelling | doaj.art-8c3e406a5aa34540b32bbc8a83d4b0da2022-12-21T19:22:01ZengDove Medical PressClinical Ophthalmology1177-54832021-12-01Volume 154855486371877Analysis of Socioeconomic Factors Affecting Follow-Up in a Glaucoma Screening ProgramStaropoli PCLee RKKroger ZASomohano KFeldman MVerriotto JDAldahan ARosa PRFeuer WJZheng DDLee DJLam BLPatrick C Staropoli, 1 Richard K Lee, 1 Zachary A Kroger, 2 Karina Somohano, 3 Matthew Feldman, 4 Jennifer D Verriotto, 1 Adam Aldahan, 5 Potyra R Rosa, 1 William J Feuer, 1 D Diane Zheng, 6 David J Lee, 1, 6 Byron L Lam 1 1Bascom Palmer Eye Institute, University of Miami Miller School of Medicine, Miami, FL, USA; 2Ophthalmology Department, Baylor College of Medicine, Houston, TX, USA; 3Ophthalmology Department, New York Presbyterian Hospital, New York, NY, USA; 4Neurology Department, University of Miami Miller School of Medicine, Miami, FL, USA; 5Dermatology Department, University of Minnesota, Minneapolis, MN, USA; 6Department of Public Health Sciences, University Miami School of Medicine, Miami, FL, USACorrespondence: Byron L LamBascom Palmer Eye Institute, 900 NW 17 Street, Miami, FL, 33136, USATel +1 305-326-6021Fax +1 305 326 6114Email blam@med.miami.eduPurpose: To determine what socioeconomic factors affect follow-up in a glaucoma screening program.Patients and Methods: This was a retrospective cohort study of six health fairs in South Florida from October 2012 to March 2013 among socially and economically disadvantaged populations. Visual acuity (VA), intraocular pressure (IOP), cup-to-disc ratio (CDR), and visual field testing were obtained to identify glaucoma suspects. Glaucoma suspects were defined as having intraocular pressure ≥ 24 mm Hg, cup-to-disc ratio of ≥ 0.6 in either eye, or glaucomatous defects on visual field testing. In July 2015, telephone surveys were administered to assess follow up and socioeconomic factors.Results: Seventy-two out of 144 (50%) glaucoma suspects responded to the survey and were included in the analysis. Of the 72 respondents, average age was 52.8 years old and 65% were female. The most common race was African American (69%) and ethnicity was Haitian (51%). Glaucoma suspects who followed up were significantly more likely to have health insurance compared to those who did not follow up (74% vs 43%, p = 0.014). No significant difference in follow-up based on age (p = 0.125), education (p = 0.151), gender (p = 0.48), or ethnicity (p = 0.707) was identified. Of the 30 respondents, who did not follow up, the most common reasons were “no insurance” (57%, 17/30) and “not worried” (33%, 10/30).Conclusion: Insurance was the main socioeconomic factor in determining whether glaucoma suspects followed up after community health screenings. Streamlining social services could increase clinical access of glaucoma suspects.Keywords: epidemiology, follow-up, glaucoma, socioeconomicshttps://www.dovepress.com/analysis-of-socioeconomic-factors-affecting-follow-up-in-a-glaucoma-sc-peer-reviewed-fulltext-article-OPTHepidemiologyfollow-upglaucomasocioeconomics |
spellingShingle | Staropoli PC Lee RK Kroger ZA Somohano K Feldman M Verriotto JD Aldahan A Rosa PR Feuer WJ Zheng DD Lee DJ Lam BL Analysis of Socioeconomic Factors Affecting Follow-Up in a Glaucoma Screening Program Clinical Ophthalmology epidemiology follow-up glaucoma socioeconomics |
title | Analysis of Socioeconomic Factors Affecting Follow-Up in a Glaucoma Screening Program |
title_full | Analysis of Socioeconomic Factors Affecting Follow-Up in a Glaucoma Screening Program |
title_fullStr | Analysis of Socioeconomic Factors Affecting Follow-Up in a Glaucoma Screening Program |
title_full_unstemmed | Analysis of Socioeconomic Factors Affecting Follow-Up in a Glaucoma Screening Program |
title_short | Analysis of Socioeconomic Factors Affecting Follow-Up in a Glaucoma Screening Program |
title_sort | analysis of socioeconomic factors affecting follow up in a glaucoma screening program |
topic | epidemiology follow-up glaucoma socioeconomics |
url | https://www.dovepress.com/analysis-of-socioeconomic-factors-affecting-follow-up-in-a-glaucoma-sc-peer-reviewed-fulltext-article-OPTH |
work_keys_str_mv | AT staropolipc analysisofsocioeconomicfactorsaffectingfollowupinaglaucomascreeningprogram AT leerk analysisofsocioeconomicfactorsaffectingfollowupinaglaucomascreeningprogram AT krogerza analysisofsocioeconomicfactorsaffectingfollowupinaglaucomascreeningprogram AT somohanok analysisofsocioeconomicfactorsaffectingfollowupinaglaucomascreeningprogram AT feldmanm analysisofsocioeconomicfactorsaffectingfollowupinaglaucomascreeningprogram AT verriottojd analysisofsocioeconomicfactorsaffectingfollowupinaglaucomascreeningprogram AT aldahana analysisofsocioeconomicfactorsaffectingfollowupinaglaucomascreeningprogram AT rosapr analysisofsocioeconomicfactorsaffectingfollowupinaglaucomascreeningprogram AT feuerwj analysisofsocioeconomicfactorsaffectingfollowupinaglaucomascreeningprogram AT zhengdd analysisofsocioeconomicfactorsaffectingfollowupinaglaucomascreeningprogram AT leedj analysisofsocioeconomicfactorsaffectingfollowupinaglaucomascreeningprogram AT lambl analysisofsocioeconomicfactorsaffectingfollowupinaglaucomascreeningprogram |