Chapter Frameworks and inequalities in healthcare: some applications

Background Social determinants of health (SDOH) have increasingly entered health policy conversations as a growing body of researches, reveal the direct relationship between social determinants and health outcome. In fact, the recent literature is moving from the traditional model that focus on how...

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Main Authors: Renzi, Pietro, Franci, Alberto
Formato: Online
Idioma:inglés
Publicado: Firenze University Press 2022
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Acceso en liña:ONIX_20220601_9788855183048_514
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author Renzi, Pietro
Franci, Alberto
author_browse Franci, Alberto
Renzi, Pietro
author_facet Renzi, Pietro
Franci, Alberto
author_sort Renzi, Pietro
collection Directory of Open Access Books
description Background Social determinants of health (SDOH) have increasingly entered health policy conversations as a growing body of researches, reveal the direct relationship between social determinants and health outcome. In fact, the recent literature is moving from the traditional model that focus on how health affects economic status, to a new view that economic status affects health. Objectives To investigate the principal conceptual frameworks for action on social determinants of health. Another aim is to contribute on the ongoing discourse on feasible measures which could be used to alert regions to inequalities in the distribution of health. Methodology, Italian data are used as a demonstration. Quadrant charts illustrate associations between how much regions spend on health and how effectively health system functions. The relevant inequality measures are used to rank health inequalities. Main results Frameworks have been presented to help communities, health professionals and others begin to better understand and address a variety of factors that affects health. Quadrant analysis technique shows the extent to which spending more on health, translates into better health outcomes, higher quality of care and improve access to care across the Italian regions, whilst also recognition the importance of major risk factors. Conclusions The social inequalities in health and what this means for how we understand and reduce them, as not to date been compressively examined empirically. There is an urgent need to expand our knowledge with comparable data on health determinants and more refined health outcomes. Furthermore, there is a need for feasible inequality measures in the health information systems. The measures used in this study, provide a step to inform and guide the uptake of equity-sensitive policies.
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spelling doab-20.500.12854ir-835632022-06-02T04:33:44Z Chapter Frameworks and inequalities in healthcare: some applications Renzi, Pietro Franci, Alberto Health inequalities Frameworks of SDOH Quadrant analysis Inequality measures Background Social determinants of health (SDOH) have increasingly entered health policy conversations as a growing body of researches, reveal the direct relationship between social determinants and health outcome. In fact, the recent literature is moving from the traditional model that focus on how health affects economic status, to a new view that economic status affects health. Objectives To investigate the principal conceptual frameworks for action on social determinants of health. Another aim is to contribute on the ongoing discourse on feasible measures which could be used to alert regions to inequalities in the distribution of health. Methodology, Italian data are used as a demonstration. Quadrant charts illustrate associations between how much regions spend on health and how effectively health system functions. The relevant inequality measures are used to rank health inequalities. Main results Frameworks have been presented to help communities, health professionals and others begin to better understand and address a variety of factors that affects health. Quadrant analysis technique shows the extent to which spending more on health, translates into better health outcomes, higher quality of care and improve access to care across the Italian regions, whilst also recognition the importance of major risk factors. Conclusions The social inequalities in health and what this means for how we understand and reduce them, as not to date been compressively examined empirically. There is an urgent need to expand our knowledge with comparable data on health determinants and more refined health outcomes. Furthermore, there is a need for feasible inequality measures in the health information systems. The measures used in this study, provide a step to inform and guide the uptake of equity-sensitive policies. 2022-06-02T04:33:43Z 2022-06-02T04:33:43Z 2022-06-01T12:19:31Z 2021 chapter ONIX_20220601_9788855183048_514 2704-5846 https://library.oapen.org/handle/20.500.12657/56329 9788855183048 https://directory.doabooks.org/handle/20.500.12854/83563 eng Proceedings e report open access image/jpeg Attribution 4.0 International https://library.oapen.org/bitstream/20.500.12657/56329/1/16992.pdf Firenze University Press 10.36253/978-88-5518-304-8.23 10.36253/978-88-5518-304-8.23 2ec4474d-93b1-4cfa-b313-9c6019b51b1a 9788855183048 6 Florence open access
spellingShingle Health inequalities
Frameworks of SDOH
Quadrant analysis
Inequality measures
Renzi, Pietro
Franci, Alberto
Chapter Frameworks and inequalities in healthcare: some applications
title Chapter Frameworks and inequalities in healthcare: some applications
title_full Chapter Frameworks and inequalities in healthcare: some applications
title_fullStr Chapter Frameworks and inequalities in healthcare: some applications
title_full_unstemmed Chapter Frameworks and inequalities in healthcare: some applications
title_short Chapter Frameworks and inequalities in healthcare: some applications
title_sort chapter frameworks and inequalities in healthcare some applications
topic Health inequalities
Frameworks of SDOH
Quadrant analysis
Inequality measures
topic_facet Health inequalities
Frameworks of SDOH
Quadrant analysis
Inequality measures
url ONIX_20220601_9788855183048_514
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