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Self-rated health as a valid indicator for health-equity analyses: evidence from the Italian health interview survey

BACKGROUND: Self-rated health is widely considered a good indicator of morbidity and mortality but its validity for health equity analysis and public health policies in Italy is often disregarded by policy-makers. This study had three objectives. O1: To explore response distribution across dimension...

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Autores principales: Cislaghi, Beniamino, Cislaghi, Cesare
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6509759/
https://www.ncbi.nlm.nih.gov/pubmed/31072306
http://dx.doi.org/10.1186/s12889-019-6839-5
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author Cislaghi, Beniamino
Cislaghi, Cesare
author_facet Cislaghi, Beniamino
Cislaghi, Cesare
author_sort Cislaghi, Beniamino
collection PubMed
description BACKGROUND: Self-rated health is widely considered a good indicator of morbidity and mortality but its validity for health equity analysis and public health policies in Italy is often disregarded by policy-makers. This study had three objectives. O1: To explore response distribution across dimensions of age, chronic health conditions, functional limitations and SRH in Italy. O2: To explore associations between SRH and healthcare demand in Italy. O3: To explore the association between SRH and household income. METHODS: Cross-sectional data were obtained from the 2015 Health Interview Survey (HIS) conducted in Italy. Italian respondents (n = 20,814) were included in logistic regression analyses. O1: associations of chronic health conditions (CHC), functional limitations (FL), and age with self-rated health (SRH) were tested. O2: associations of CHC, FL, and SRH with hospitalisation (H), medical specialist consultations (MSC), and medicine use (MU) were tested. O3: associations of SRH and CHC with household income (PEI) were tested. RESULTS: O1: CHC, FL, and age had an independent summative effect on respondents’ SRH. O2: SRH predicted H and MSC more than CHC; age and MU were more strongly correlated than SRH and MU. O3: SRH and PEI were significantly correlated, while we found no correlation between CHC and PEI. CONCLUSIONS: Drawing from our results and the relevant literature, we suggest that policy-makers in Italy could use SRH measures to: 1) predict healthcare demand for effective allocation of resources; 2) assess subjective effectiveness of treatments; and 3) understand geosocial pockets of health inequity that require special attention.
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spelling pubmed-65097592019-06-05 Self-rated health as a valid indicator for health-equity analyses: evidence from the Italian health interview survey Cislaghi, Beniamino Cislaghi, Cesare BMC Public Health Research Article BACKGROUND: Self-rated health is widely considered a good indicator of morbidity and mortality but its validity for health equity analysis and public health policies in Italy is often disregarded by policy-makers. This study had three objectives. O1: To explore response distribution across dimensions of age, chronic health conditions, functional limitations and SRH in Italy. O2: To explore associations between SRH and healthcare demand in Italy. O3: To explore the association between SRH and household income. METHODS: Cross-sectional data were obtained from the 2015 Health Interview Survey (HIS) conducted in Italy. Italian respondents (n = 20,814) were included in logistic regression analyses. O1: associations of chronic health conditions (CHC), functional limitations (FL), and age with self-rated health (SRH) were tested. O2: associations of CHC, FL, and SRH with hospitalisation (H), medical specialist consultations (MSC), and medicine use (MU) were tested. O3: associations of SRH and CHC with household income (PEI) were tested. RESULTS: O1: CHC, FL, and age had an independent summative effect on respondents’ SRH. O2: SRH predicted H and MSC more than CHC; age and MU were more strongly correlated than SRH and MU. O3: SRH and PEI were significantly correlated, while we found no correlation between CHC and PEI. CONCLUSIONS: Drawing from our results and the relevant literature, we suggest that policy-makers in Italy could use SRH measures to: 1) predict healthcare demand for effective allocation of resources; 2) assess subjective effectiveness of treatments; and 3) understand geosocial pockets of health inequity that require special attention. BioMed Central 2019-05-09 /pmc/articles/PMC6509759/ /pubmed/31072306 http://dx.doi.org/10.1186/s12889-019-6839-5 Text en © The Author(s). 2019 Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. 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.
spellingShingle Research Article
Cislaghi, Beniamino
Cislaghi, Cesare
Self-rated health as a valid indicator for health-equity analyses: evidence from the Italian health interview survey
title Self-rated health as a valid indicator for health-equity analyses: evidence from the Italian health interview survey
title_full Self-rated health as a valid indicator for health-equity analyses: evidence from the Italian health interview survey
title_fullStr Self-rated health as a valid indicator for health-equity analyses: evidence from the Italian health interview survey
title_full_unstemmed Self-rated health as a valid indicator for health-equity analyses: evidence from the Italian health interview survey
title_short Self-rated health as a valid indicator for health-equity analyses: evidence from the Italian health interview survey
title_sort self-rated health as a valid indicator for health-equity analyses: evidence from the italian health interview survey
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6509759/
https://www.ncbi.nlm.nih.gov/pubmed/31072306
http://dx.doi.org/10.1186/s12889-019-6839-5
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