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Non-technical health care quality and health system responsiveness in middle-income countries: a cross-sectional study in China, Ghana, India, Mexico, Russia, and South Africa

BACKGROUND: While there is increasing recognition that the non-technical aspects of health care quality – particularly the inter-personal dimensions of care – are important components of health system performance, evidence from population-based studies on these outcomes in low- and middle-income cou...

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Autores principales: Geldsetzer, Pascal, Haakenstad, Annie, James, Erin Kinsella, Atun, Rifat
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Edinburgh University Global Health Society 2018
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6189548/
https://www.ncbi.nlm.nih.gov/pubmed/30356805
http://dx.doi.org/10.7189/jogh.08.020417
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author Geldsetzer, Pascal
Haakenstad, Annie
James, Erin Kinsella
Atun, Rifat
author_facet Geldsetzer, Pascal
Haakenstad, Annie
James, Erin Kinsella
Atun, Rifat
author_sort Geldsetzer, Pascal
collection PubMed
description BACKGROUND: While there is increasing recognition that the non-technical aspects of health care quality – particularly the inter-personal dimensions of care – are important components of health system performance, evidence from population-based studies on these outcomes in low- and middle-income countries is sparse. This study assesses these non-technical aspects of care using two measures: health system responsiveness (HSR), which quantifies the degree to which the health system meets the expectations of the population, and non-technical health care quality (QoC), for which we ‘filtered out’ these expectations. Pooling data from six large middle-income countries, this study therefore aimed to determine how HSR and QoC vary between countries and by individuals’ sociodemographic characteristics within countries. METHODS: We pooled individual-level data, collected between 2007 and 2010, from nationally representative household surveys of (primarily) adults aged 50 years and older in China, Ghana, India, Mexico, Russia, and South Africa. The outcome measure was a binary indicator for a ‘bad’ rating (HSR: “very bad” or “bad” on a five-point Likert scale; QoC: a worse rating of one’s own visit than that of the character in an anchoring vignette) on at least one of seven dimensions for the most recent primary care visit. RESULTS: 23 749 adults who reported to have sought primary care during the preceding 12 months were includedin the analysis. The proportion of participants who gave a bad rating for their last primary care visit on at least one of seven dimensions varied from 4.3% (95% confidence interval (CI) = 2.8-6.7) in China to 33.1% (95% CI = 23.6-44.2) in South Africa for HSR, and from 17.0% (95% CI = 11.4-24.5) in Russia to 50.8% (95% CI = 46.0-55.6) in Ghana for QoC. There was a strong negative association between increasing household wealth and both bad HSR and QoC in India and South Africa. CONCLUSIONS: Achieving universal health coverage (UHC) with good-quality health services (“effective UHC”) will require efforts to improve HSR and QoC across the population in Ghana and South Africa. Additionally, a particular focus on raising HSR and QoC for the poorest population groups is needed in India and South Africa.
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spelling pubmed-61895482018-10-23 Non-technical health care quality and health system responsiveness in middle-income countries: a cross-sectional study in China, Ghana, India, Mexico, Russia, and South Africa Geldsetzer, Pascal Haakenstad, Annie James, Erin Kinsella Atun, Rifat J Glob Health Articles BACKGROUND: While there is increasing recognition that the non-technical aspects of health care quality – particularly the inter-personal dimensions of care – are important components of health system performance, evidence from population-based studies on these outcomes in low- and middle-income countries is sparse. This study assesses these non-technical aspects of care using two measures: health system responsiveness (HSR), which quantifies the degree to which the health system meets the expectations of the population, and non-technical health care quality (QoC), for which we ‘filtered out’ these expectations. Pooling data from six large middle-income countries, this study therefore aimed to determine how HSR and QoC vary between countries and by individuals’ sociodemographic characteristics within countries. METHODS: We pooled individual-level data, collected between 2007 and 2010, from nationally representative household surveys of (primarily) adults aged 50 years and older in China, Ghana, India, Mexico, Russia, and South Africa. The outcome measure was a binary indicator for a ‘bad’ rating (HSR: “very bad” or “bad” on a five-point Likert scale; QoC: a worse rating of one’s own visit than that of the character in an anchoring vignette) on at least one of seven dimensions for the most recent primary care visit. RESULTS: 23 749 adults who reported to have sought primary care during the preceding 12 months were includedin the analysis. The proportion of participants who gave a bad rating for their last primary care visit on at least one of seven dimensions varied from 4.3% (95% confidence interval (CI) = 2.8-6.7) in China to 33.1% (95% CI = 23.6-44.2) in South Africa for HSR, and from 17.0% (95% CI = 11.4-24.5) in Russia to 50.8% (95% CI = 46.0-55.6) in Ghana for QoC. There was a strong negative association between increasing household wealth and both bad HSR and QoC in India and South Africa. CONCLUSIONS: Achieving universal health coverage (UHC) with good-quality health services (“effective UHC”) will require efforts to improve HSR and QoC across the population in Ghana and South Africa. Additionally, a particular focus on raising HSR and QoC for the poorest population groups is needed in India and South Africa. Edinburgh University Global Health Society 2018-12 2018-10-15 /pmc/articles/PMC6189548/ /pubmed/30356805 http://dx.doi.org/10.7189/jogh.08.020417 Text en Copyright © 2018 by the Journal of Global Health. All rights reserved. http://creativecommons.org/licenses/by/4.0/ This work is licensed under a Creative Commons Attribution 4.0 International License.
spellingShingle Articles
Geldsetzer, Pascal
Haakenstad, Annie
James, Erin Kinsella
Atun, Rifat
Non-technical health care quality and health system responsiveness in middle-income countries: a cross-sectional study in China, Ghana, India, Mexico, Russia, and South Africa
title Non-technical health care quality and health system responsiveness in middle-income countries: a cross-sectional study in China, Ghana, India, Mexico, Russia, and South Africa
title_full Non-technical health care quality and health system responsiveness in middle-income countries: a cross-sectional study in China, Ghana, India, Mexico, Russia, and South Africa
title_fullStr Non-technical health care quality and health system responsiveness in middle-income countries: a cross-sectional study in China, Ghana, India, Mexico, Russia, and South Africa
title_full_unstemmed Non-technical health care quality and health system responsiveness in middle-income countries: a cross-sectional study in China, Ghana, India, Mexico, Russia, and South Africa
title_short Non-technical health care quality and health system responsiveness in middle-income countries: a cross-sectional study in China, Ghana, India, Mexico, Russia, and South Africa
title_sort non-technical health care quality and health system responsiveness in middle-income countries: a cross-sectional study in china, ghana, india, mexico, russia, and south africa
topic Articles
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6189548/
https://www.ncbi.nlm.nih.gov/pubmed/30356805
http://dx.doi.org/10.7189/jogh.08.020417
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