Clinical Ophthalmology (Dec 2021)
Analysis of Socioeconomic Factors Affecting Follow-Up in a Glaucoma Screening Program
Abstract
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 [email protected]: 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
