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Quantifying unmet need for hypertension care in South Africa through a care cascade: evidence from the SANHANES, 2011-2012

INTRODUCTION: Hypertension has become a major cause of morbidity and premature mortality in South Africa, but population-wide estimates of prevalence and access to care are scarce. Using data from the South African National Health and Nutrition Examination Survey (2011–2012), this analysis evaluates...

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Autores principales: Berry, Kaitlyn M, Parker, Whadi-ah, Mchiza, Zandile J, Sewpaul, Ronel, Labadarios, Demetre, Rosen, Sydney, Stokes, Andrew
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BMJ Global Health 2017
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5656122/
https://www.ncbi.nlm.nih.gov/pubmed/29082013
http://dx.doi.org/10.1136/bmjgh-2017-000348
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author Berry, Kaitlyn M
Parker, Whadi-ah
Mchiza, Zandile J
Sewpaul, Ronel
Labadarios, Demetre
Rosen, Sydney
Stokes, Andrew
author_facet Berry, Kaitlyn M
Parker, Whadi-ah
Mchiza, Zandile J
Sewpaul, Ronel
Labadarios, Demetre
Rosen, Sydney
Stokes, Andrew
author_sort Berry, Kaitlyn M
collection PubMed
description INTRODUCTION: Hypertension has become a major cause of morbidity and premature mortality in South Africa, but population-wide estimates of prevalence and access to care are scarce. Using data from the South African National Health and Nutrition Examination Survey (2011–2012), this analysis evaluates the national prevalence of hypertension and uses a care cascade to examine unmet need for care. METHODS: Hypertension was defined as blood pressure over 140/90 mm Hg or use of antihypertensive medication. We constructed a hypertension care cascade by decomposing the population with hypertension into five mutually exclusive and exhaustive subcategories: (1) unscreened and undiagnosed, (2) screened but undiagnosed, (3) diagnosed but untreated, (4) treated but uncontrolled and (5) treated and controlled. Multivariable logistic regression models were used to explore factors associated with hypertension prevalence and diagnosis. RESULTS: In South Africans aged 15 and above, the age standardised prevalence of hypertension was 35.1%. Among those with hypertension, 48.7% were unscreened and undiagnosed, 23.1% were screened but undiagnosed, 5.8% were diagnosed but untreated, 13.5% were treated but uncontrolled and 8.9% were controlled. The hypertension care cascade demonstrates that 49% of those with hypertension were lost at the screening stage, 50% of those who were screened never received a diagnosis, 23% of those who were diagnosed did not receive treatment and 48% of those who were treated did not reach the threshold for control. Men and older individuals had increased risks of being undiagnosed after controlling for other factors. CONCLUSIONS: There is significant unmet need for hypertension care in South Africa; 91.1% of the hypertensive population was unscreened, undiagnosed, untreated or uncontrolled. Data from this study provide insight into where patients are lost in the hypertension care continuum and serve as a benchmark for evaluating efforts to manage the rising burden of hypertension in South Africa.
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spelling pubmed-56561222017-10-27 Quantifying unmet need for hypertension care in South Africa through a care cascade: evidence from the SANHANES, 2011-2012 Berry, Kaitlyn M Parker, Whadi-ah Mchiza, Zandile J Sewpaul, Ronel Labadarios, Demetre Rosen, Sydney Stokes, Andrew BMJ Glob Health Research INTRODUCTION: Hypertension has become a major cause of morbidity and premature mortality in South Africa, but population-wide estimates of prevalence and access to care are scarce. Using data from the South African National Health and Nutrition Examination Survey (2011–2012), this analysis evaluates the national prevalence of hypertension and uses a care cascade to examine unmet need for care. METHODS: Hypertension was defined as blood pressure over 140/90 mm Hg or use of antihypertensive medication. We constructed a hypertension care cascade by decomposing the population with hypertension into five mutually exclusive and exhaustive subcategories: (1) unscreened and undiagnosed, (2) screened but undiagnosed, (3) diagnosed but untreated, (4) treated but uncontrolled and (5) treated and controlled. Multivariable logistic regression models were used to explore factors associated with hypertension prevalence and diagnosis. RESULTS: In South Africans aged 15 and above, the age standardised prevalence of hypertension was 35.1%. Among those with hypertension, 48.7% were unscreened and undiagnosed, 23.1% were screened but undiagnosed, 5.8% were diagnosed but untreated, 13.5% were treated but uncontrolled and 8.9% were controlled. The hypertension care cascade demonstrates that 49% of those with hypertension were lost at the screening stage, 50% of those who were screened never received a diagnosis, 23% of those who were diagnosed did not receive treatment and 48% of those who were treated did not reach the threshold for control. Men and older individuals had increased risks of being undiagnosed after controlling for other factors. CONCLUSIONS: There is significant unmet need for hypertension care in South Africa; 91.1% of the hypertensive population was unscreened, undiagnosed, untreated or uncontrolled. Data from this study provide insight into where patients are lost in the hypertension care continuum and serve as a benchmark for evaluating efforts to manage the rising burden of hypertension in South Africa. BMJ Global Health 2017-08-16 /pmc/articles/PMC5656122/ /pubmed/29082013 http://dx.doi.org/10.1136/bmjgh-2017-000348 Text en © Article author(s) (or their employer(s) unless otherwise stated in the text of the article) 2017. All rights reserved. No commercial use is permitted unless otherwise expressly granted. This is an Open Access article distributed in accordance with the Creative Commons Attribution Non Commercial (CC BY-NC 4.0) license, which permits others to distribute, remix, adapt, build upon this work non-commercially, and license their derivative works on different terms, provided the original work is properly cited and the use is non-commercial. See: http://creativecommons.org/licenses/by-nc/4.0/
spellingShingle Research
Berry, Kaitlyn M
Parker, Whadi-ah
Mchiza, Zandile J
Sewpaul, Ronel
Labadarios, Demetre
Rosen, Sydney
Stokes, Andrew
Quantifying unmet need for hypertension care in South Africa through a care cascade: evidence from the SANHANES, 2011-2012
title Quantifying unmet need for hypertension care in South Africa through a care cascade: evidence from the SANHANES, 2011-2012
title_full Quantifying unmet need for hypertension care in South Africa through a care cascade: evidence from the SANHANES, 2011-2012
title_fullStr Quantifying unmet need for hypertension care in South Africa through a care cascade: evidence from the SANHANES, 2011-2012
title_full_unstemmed Quantifying unmet need for hypertension care in South Africa through a care cascade: evidence from the SANHANES, 2011-2012
title_short Quantifying unmet need for hypertension care in South Africa through a care cascade: evidence from the SANHANES, 2011-2012
title_sort quantifying unmet need for hypertension care in south africa through a care cascade: evidence from the sanhanes, 2011-2012
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5656122/
https://www.ncbi.nlm.nih.gov/pubmed/29082013
http://dx.doi.org/10.1136/bmjgh-2017-000348
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