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Eye care utilization pattern in South Africa: results from SANHANES-1

BACKGROUND: Eye examinations are recommended for all persons throughout life. However, there is disparity in the uptake of eye care services in different populations. Using data from a nationally representative population-based cross-sectional study (the South African National Health and Nutrition E...

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Autores principales: Akuffo, Kwadwo Owusu, Sewpaul, Ronel, Dukhi, Natisha, Asare, Akosua Kesewah, Kumah, David Ben, Addo, Emmanuel Kofi, Agyei-Manu, Eldad, Reddy, Priscilla
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7430111/
https://www.ncbi.nlm.nih.gov/pubmed/32807155
http://dx.doi.org/10.1186/s12913-020-05621-8
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author Akuffo, Kwadwo Owusu
Sewpaul, Ronel
Dukhi, Natisha
Asare, Akosua Kesewah
Kumah, David Ben
Addo, Emmanuel Kofi
Agyei-Manu, Eldad
Reddy, Priscilla
author_facet Akuffo, Kwadwo Owusu
Sewpaul, Ronel
Dukhi, Natisha
Asare, Akosua Kesewah
Kumah, David Ben
Addo, Emmanuel Kofi
Agyei-Manu, Eldad
Reddy, Priscilla
author_sort Akuffo, Kwadwo Owusu
collection PubMed
description BACKGROUND: Eye examinations are recommended for all persons throughout life. However, there is disparity in the uptake of eye care services in different populations. Using data from a nationally representative population-based cross-sectional study (the South African National Health and Nutrition Examination Survey, [SANHANES-1]), this paper investigates the utilization of eye care services and its associated factors in South Africa. METHODS: Participants aged 15 years and older who participated in interviews and clinical examination were enrolled in the SANHANES from 2011 to 2012. Eye care utilization was assessed from participants’ responses to whether they had their eyes examined by a medical professional and when they were last examined. Data were analysed using multiple logistic regression models employing a hierarchical approach to add predisposing (e.g. age, sex), enabling (e.g. health insurance) and need (e.g. hypertension) factors sequentially. RESULTS: The study sampled 3320 participants, with 64.9% being females. 73.4% (95% CI [69.7–76.7]) of participants had never had an eye examination. After statistical adjustment, age groups (compared with 15–29 years: 30-44 years Odds Ratio [OR] = 1.76; 45-59 years OR = 2.13; 60-74 years OR = 2.74; ≥75 years OR = 3.22), ethnicity (compared with African descent: white OR = 4.71; mixed-race OR = 1.87; Indian OR = 7.67), high risk alcohol use (OR = 1.83), wealth index (compared with lowest quintile: third quintile OR = 1.75; fourth quintile OR = 2.23; fifth quintile OR = 2.49), health insurance (OR = 2.19), diabetes (OR = 1.75), high cholesterol (OR = 2.51), having assessed healthcare in the past 5 years (OR = 2.42), and self-reported vision problems (OR = 1.51) were significantly associated with eye care utilization. CONCLUSION: Almost three-quarters of South Africans sampled were not utilizing eye care services. It is imperative to strengthen current public health measures (including eye health promotion programs) to address the alarmingly low uptake of eye care services as well as the disparities in eye care utilization in South Africa.
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spelling pubmed-74301112020-08-18 Eye care utilization pattern in South Africa: results from SANHANES-1 Akuffo, Kwadwo Owusu Sewpaul, Ronel Dukhi, Natisha Asare, Akosua Kesewah Kumah, David Ben Addo, Emmanuel Kofi Agyei-Manu, Eldad Reddy, Priscilla BMC Health Serv Res Research Article BACKGROUND: Eye examinations are recommended for all persons throughout life. However, there is disparity in the uptake of eye care services in different populations. Using data from a nationally representative population-based cross-sectional study (the South African National Health and Nutrition Examination Survey, [SANHANES-1]), this paper investigates the utilization of eye care services and its associated factors in South Africa. METHODS: Participants aged 15 years and older who participated in interviews and clinical examination were enrolled in the SANHANES from 2011 to 2012. Eye care utilization was assessed from participants’ responses to whether they had their eyes examined by a medical professional and when they were last examined. Data were analysed using multiple logistic regression models employing a hierarchical approach to add predisposing (e.g. age, sex), enabling (e.g. health insurance) and need (e.g. hypertension) factors sequentially. RESULTS: The study sampled 3320 participants, with 64.9% being females. 73.4% (95% CI [69.7–76.7]) of participants had never had an eye examination. After statistical adjustment, age groups (compared with 15–29 years: 30-44 years Odds Ratio [OR] = 1.76; 45-59 years OR = 2.13; 60-74 years OR = 2.74; ≥75 years OR = 3.22), ethnicity (compared with African descent: white OR = 4.71; mixed-race OR = 1.87; Indian OR = 7.67), high risk alcohol use (OR = 1.83), wealth index (compared with lowest quintile: third quintile OR = 1.75; fourth quintile OR = 2.23; fifth quintile OR = 2.49), health insurance (OR = 2.19), diabetes (OR = 1.75), high cholesterol (OR = 2.51), having assessed healthcare in the past 5 years (OR = 2.42), and self-reported vision problems (OR = 1.51) were significantly associated with eye care utilization. CONCLUSION: Almost three-quarters of South Africans sampled were not utilizing eye care services. It is imperative to strengthen current public health measures (including eye health promotion programs) to address the alarmingly low uptake of eye care services as well as the disparities in eye care utilization in South Africa. BioMed Central 2020-08-17 /pmc/articles/PMC7430111/ /pubmed/32807155 http://dx.doi.org/10.1186/s12913-020-05621-8 Text en © The Author(s) 2020 Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated in a credit line to the data.
spellingShingle Research Article
Akuffo, Kwadwo Owusu
Sewpaul, Ronel
Dukhi, Natisha
Asare, Akosua Kesewah
Kumah, David Ben
Addo, Emmanuel Kofi
Agyei-Manu, Eldad
Reddy, Priscilla
Eye care utilization pattern in South Africa: results from SANHANES-1
title Eye care utilization pattern in South Africa: results from SANHANES-1
title_full Eye care utilization pattern in South Africa: results from SANHANES-1
title_fullStr Eye care utilization pattern in South Africa: results from SANHANES-1
title_full_unstemmed Eye care utilization pattern in South Africa: results from SANHANES-1
title_short Eye care utilization pattern in South Africa: results from SANHANES-1
title_sort eye care utilization pattern in south africa: results from sanhanes-1
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7430111/
https://www.ncbi.nlm.nih.gov/pubmed/32807155
http://dx.doi.org/10.1186/s12913-020-05621-8
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