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Socioeconomic Inequity in the Screening and Treatment of Hypertension in Kenya: Evidence From a National Survey

BACKGROUND: Non-communicable diseases (NCDs) account for 50% of hospitalisations and 55% of inpatient deaths in Kenya. Hypertension is one of the major NCDs in Kenya. Equitable access and utilisation of screening and treatment interventions are critical for reducing the burden of hypertension. This...

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Autores principales: Oyando, Robinson, Barasa, Edwine, Ataguba, John E.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10012826/
https://www.ncbi.nlm.nih.gov/pubmed/36925851
http://dx.doi.org/10.3389/frhs.2022.786098
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author Oyando, Robinson
Barasa, Edwine
Ataguba, John E.
author_facet Oyando, Robinson
Barasa, Edwine
Ataguba, John E.
author_sort Oyando, Robinson
collection PubMed
description BACKGROUND: Non-communicable diseases (NCDs) account for 50% of hospitalisations and 55% of inpatient deaths in Kenya. Hypertension is one of the major NCDs in Kenya. Equitable access and utilisation of screening and treatment interventions are critical for reducing the burden of hypertension. This study assessed horizontal equity (equal treatment for equal need) in the screening and treatment for hypertension. It also decomposed socioeconomic inequalities in care use in Kenya. METHODS: Cross-sectional data from the 2015 NCDs risk factors STEPwise survey, covering 4,500 adults aged 18–69 years were analysed. Socioeconomic inequality was assessed using concentration curves and concentration indices (CI), and inequity by the horizontal inequity (HI) index. A positive (negative) CI or HI value suggests a pro-rich (pro-poor) inequality or inequity. Socioeconomic inequality in screening and treatment for hypertension was decomposed into contributions of need [age, sex, and body mass index (BMI)] and non-need (wealth status, education, exposure to media, employment, and area of residence) factors using a standard decomposition method. RESULTS: The need for hypertension screening was higher among poorer than wealthier socioeconomic groups (CI = −0.077; p < 0.05). However, wealthier groups needed hypertension treatment more than poorer groups (CI = 0.293; p <0.001). Inequity in the use of hypertension screening (HI = 0.185; p < 0.001) and treatment (HI = 0.095; p < 0.001) were significantly pro-rich. Need factors such as sex and BMI were the largest contributors to inequalities in the use of screening services. By contrast, non-need factors like the area of residence, wealth, and employment status mainly contributed to inequalities in the utilisation of treatment services. CONCLUSION: Among other things, the use of hypertension screening and treatment services in Kenya should be according to need to realise the Sustainable Development Goals for NCDs. Specifically, efforts to attain equity in healthcare use for hypertension services should be multi-sectoral and focused on crucial inequity drivers such as regional disparities in care use, poverty and educational attainment. Also, concerted awareness campaigns are needed to increase the uptake of screening services for hypertension.
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spelling pubmed-100128262023-03-15 Socioeconomic Inequity in the Screening and Treatment of Hypertension in Kenya: Evidence From a National Survey Oyando, Robinson Barasa, Edwine Ataguba, John E. Front Health Serv Health Services BACKGROUND: Non-communicable diseases (NCDs) account for 50% of hospitalisations and 55% of inpatient deaths in Kenya. Hypertension is one of the major NCDs in Kenya. Equitable access and utilisation of screening and treatment interventions are critical for reducing the burden of hypertension. This study assessed horizontal equity (equal treatment for equal need) in the screening and treatment for hypertension. It also decomposed socioeconomic inequalities in care use in Kenya. METHODS: Cross-sectional data from the 2015 NCDs risk factors STEPwise survey, covering 4,500 adults aged 18–69 years were analysed. Socioeconomic inequality was assessed using concentration curves and concentration indices (CI), and inequity by the horizontal inequity (HI) index. A positive (negative) CI or HI value suggests a pro-rich (pro-poor) inequality or inequity. Socioeconomic inequality in screening and treatment for hypertension was decomposed into contributions of need [age, sex, and body mass index (BMI)] and non-need (wealth status, education, exposure to media, employment, and area of residence) factors using a standard decomposition method. RESULTS: The need for hypertension screening was higher among poorer than wealthier socioeconomic groups (CI = −0.077; p < 0.05). However, wealthier groups needed hypertension treatment more than poorer groups (CI = 0.293; p <0.001). Inequity in the use of hypertension screening (HI = 0.185; p < 0.001) and treatment (HI = 0.095; p < 0.001) were significantly pro-rich. Need factors such as sex and BMI were the largest contributors to inequalities in the use of screening services. By contrast, non-need factors like the area of residence, wealth, and employment status mainly contributed to inequalities in the utilisation of treatment services. CONCLUSION: Among other things, the use of hypertension screening and treatment services in Kenya should be according to need to realise the Sustainable Development Goals for NCDs. Specifically, efforts to attain equity in healthcare use for hypertension services should be multi-sectoral and focused on crucial inequity drivers such as regional disparities in care use, poverty and educational attainment. Also, concerted awareness campaigns are needed to increase the uptake of screening services for hypertension. Frontiers Media S.A. 2022-04-05 /pmc/articles/PMC10012826/ /pubmed/36925851 http://dx.doi.org/10.3389/frhs.2022.786098 Text en Copyright © 2022 Oyando, Barasa and Ataguba. https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
spellingShingle Health Services
Oyando, Robinson
Barasa, Edwine
Ataguba, John E.
Socioeconomic Inequity in the Screening and Treatment of Hypertension in Kenya: Evidence From a National Survey
title Socioeconomic Inequity in the Screening and Treatment of Hypertension in Kenya: Evidence From a National Survey
title_full Socioeconomic Inequity in the Screening and Treatment of Hypertension in Kenya: Evidence From a National Survey
title_fullStr Socioeconomic Inequity in the Screening and Treatment of Hypertension in Kenya: Evidence From a National Survey
title_full_unstemmed Socioeconomic Inequity in the Screening and Treatment of Hypertension in Kenya: Evidence From a National Survey
title_short Socioeconomic Inequity in the Screening and Treatment of Hypertension in Kenya: Evidence From a National Survey
title_sort socioeconomic inequity in the screening and treatment of hypertension in kenya: evidence from a national survey
topic Health Services
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10012826/
https://www.ncbi.nlm.nih.gov/pubmed/36925851
http://dx.doi.org/10.3389/frhs.2022.786098
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