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A methodology for small area prevalence estimation based on survey data

BACKGROUND: Brazil conducts many health surveys to provide estimates by national level, macro-regions, states, metropolitan regions and capitals. However, estimates for smaller areas are lacking due to their high cost. The Health Vulnerability Index (in Portuguese, Índice de Vulnerabilidade em Saúde...

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Autores principales: Bernal, Regina Tomie Ivata, de Carvalho, Quéren Hapuque, Pell, Jill P., Leyland, Alastair H., Dundas, Ruth, Barreto, Mauricio Lima, Malta, Deborah Carvalho
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7393920/
https://www.ncbi.nlm.nih.gov/pubmed/32731877
http://dx.doi.org/10.1186/s12939-020-01220-5
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author Bernal, Regina Tomie Ivata
de Carvalho, Quéren Hapuque
Pell, Jill P.
Leyland, Alastair H.
Dundas, Ruth
Barreto, Mauricio Lima
Malta, Deborah Carvalho
author_facet Bernal, Regina Tomie Ivata
de Carvalho, Quéren Hapuque
Pell, Jill P.
Leyland, Alastair H.
Dundas, Ruth
Barreto, Mauricio Lima
Malta, Deborah Carvalho
author_sort Bernal, Regina Tomie Ivata
collection PubMed
description BACKGROUND: Brazil conducts many health surveys to provide estimates by national level, macro-regions, states, metropolitan regions and capitals. However, estimates for smaller areas are lacking due to their high cost. The Health Vulnerability Index (in Portuguese, Índice de Vulnerabilidade em Saúde, IVS) is a measure that combines socioeconomic and environmental variables in the same indicator and allows for the analysis of the characteristics of population groups residing in census tracts, grouping them into four health risk areas (low, medium, high and very high risk) in addition to showing inequalities in the epidemiological profile of different social groups. This index was developed by the Municipal Health Secretariat of Belo Horizonte to guide health planning. OBJECTIVE: The aim of the study is to produce a methodology for obtaining reliable estimates for tobacco smoking in small areas for which the IVS was not designed. METHODS: The Vigitel dataset from 2006 to 2013 was used to obtain estimates of the prevalence of smokers based on the IVS employing small area estimation methods that use data from a larger domain to obtain estimates in smaller areas. For indirect estimates, the covariates included were sanitation, housing, education, income, and social and health factors. Post-stratification weights were used according to the IVS based on the population of the 2010 census. RESULTS: From 2006 to 2009, 16.2% (95% CI: 13.6–14.8%) of the adult population in Belo Horizonte were smokers, and 14.8% (95% CI: 14.0–15.6%) were smokers between 2010 and 2013. The very high-risk population maintained a high prevalence over the same period of 21.1% (95% CI: 17.1–25.0%) between 2006 and 2009 and 20.8% (95% CI: 17.0–24.6%) between 2010 and 2013, while in the low-risk group, the prevalence in the same period fell from 14.9% (95% CI: 13.7–16.2%) to 11.8% (95% CI, 10.6–13.1%). CONCLUSIONS: The present study identified differences in the profile of smokers by the IVS in the city of Belo Horizonte. While the smoking prevalence declined in richer areas, it remained high in poor areas. This methodology can be used to produce reliable estimates for subgroups with greater vulnerability in small areas and thus subsidize the formulation, monitoring and evaluation of public health policies and programmes aimed at smoking.
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spelling pubmed-73939202020-08-04 A methodology for small area prevalence estimation based on survey data Bernal, Regina Tomie Ivata de Carvalho, Quéren Hapuque Pell, Jill P. Leyland, Alastair H. Dundas, Ruth Barreto, Mauricio Lima Malta, Deborah Carvalho Int J Equity Health Research BACKGROUND: Brazil conducts many health surveys to provide estimates by national level, macro-regions, states, metropolitan regions and capitals. However, estimates for smaller areas are lacking due to their high cost. The Health Vulnerability Index (in Portuguese, Índice de Vulnerabilidade em Saúde, IVS) is a measure that combines socioeconomic and environmental variables in the same indicator and allows for the analysis of the characteristics of population groups residing in census tracts, grouping them into four health risk areas (low, medium, high and very high risk) in addition to showing inequalities in the epidemiological profile of different social groups. This index was developed by the Municipal Health Secretariat of Belo Horizonte to guide health planning. OBJECTIVE: The aim of the study is to produce a methodology for obtaining reliable estimates for tobacco smoking in small areas for which the IVS was not designed. METHODS: The Vigitel dataset from 2006 to 2013 was used to obtain estimates of the prevalence of smokers based on the IVS employing small area estimation methods that use data from a larger domain to obtain estimates in smaller areas. For indirect estimates, the covariates included were sanitation, housing, education, income, and social and health factors. Post-stratification weights were used according to the IVS based on the population of the 2010 census. RESULTS: From 2006 to 2009, 16.2% (95% CI: 13.6–14.8%) of the adult population in Belo Horizonte were smokers, and 14.8% (95% CI: 14.0–15.6%) were smokers between 2010 and 2013. The very high-risk population maintained a high prevalence over the same period of 21.1% (95% CI: 17.1–25.0%) between 2006 and 2009 and 20.8% (95% CI: 17.0–24.6%) between 2010 and 2013, while in the low-risk group, the prevalence in the same period fell from 14.9% (95% CI: 13.7–16.2%) to 11.8% (95% CI, 10.6–13.1%). CONCLUSIONS: The present study identified differences in the profile of smokers by the IVS in the city of Belo Horizonte. While the smoking prevalence declined in richer areas, it remained high in poor areas. This methodology can be used to produce reliable estimates for subgroups with greater vulnerability in small areas and thus subsidize the formulation, monitoring and evaluation of public health policies and programmes aimed at smoking. BioMed Central 2020-07-31 /pmc/articles/PMC7393920/ /pubmed/32731877 http://dx.doi.org/10.1186/s12939-020-01220-5 Text en © The Author(s) 2020 Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/. 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 in a credit line to the data.
spellingShingle Research
Bernal, Regina Tomie Ivata
de Carvalho, Quéren Hapuque
Pell, Jill P.
Leyland, Alastair H.
Dundas, Ruth
Barreto, Mauricio Lima
Malta, Deborah Carvalho
A methodology for small area prevalence estimation based on survey data
title A methodology for small area prevalence estimation based on survey data
title_full A methodology for small area prevalence estimation based on survey data
title_fullStr A methodology for small area prevalence estimation based on survey data
title_full_unstemmed A methodology for small area prevalence estimation based on survey data
title_short A methodology for small area prevalence estimation based on survey data
title_sort methodology for small area prevalence estimation based on survey data
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7393920/
https://www.ncbi.nlm.nih.gov/pubmed/32731877
http://dx.doi.org/10.1186/s12939-020-01220-5
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