Comparison of sampling designs from the two editions of the Brazilian National Health Survey, 2013 and 2019
Autor(a) principal: | |
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Data de Publicação: | 2022 |
Outros Autores: | , , , , , , , , |
Tipo de documento: | Artigo |
Idioma: | eng |
Título da fonte: | Cadernos de Saúde Pública |
Texto Completo: | http://old.scielo.br/scielo.php?script=sci_arttext&pid=S0102-311X2022001304001 |
Resumo: | Our objective is to describe the differences in the sampling plans of the two editions of the Brazilian National Health Survey (PNS 2013 and 2019) and to evaluate how the changes affected the coefficient of variation (CV) and the design effect (Deff) of some estimated indicators. Variables from different parts of the questionnaire were analyzed to cover proportions with different magnitudes. The prevalence of obesity was included in the analysis since anthropometry measurement in the 2019 survey was performed in a subsample. The value of the point estimate, CV, and the Deff were calculated for each indicator, considering the stratification of the primary sampling units, the weighting of the sampling units, and the clustering effect. The CV and the Deff were lower in the 2019 estimates for most indicators. Concerning the questionnaire indicators of all household members, the Deffs were high and reached values greater than 18 for having a health insurance plan. Regarding the indicators of the individual questionnaire, for the prevalence of obesity, the Deff ranged from 2.7 to 4.2, in 2013, and from 2.7 to 10.2, in 2019. The prevalence of hypertension and diabetes per Federative Unit had a higher CV and lower Deff. Expanding the sample size to meet the diverse health objectives and the high Deff are significant challenges for developing probabilistic household-based national survey. New probabilistic sampling strategies should be considered to reduce costs and clustering effects. |
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Comparison of sampling designs from the two editions of the Brazilian National Health Survey, 2013 and 2019Health SurveysSampling StudiesEpidemiologic Research DesignOur objective is to describe the differences in the sampling plans of the two editions of the Brazilian National Health Survey (PNS 2013 and 2019) and to evaluate how the changes affected the coefficient of variation (CV) and the design effect (Deff) of some estimated indicators. Variables from different parts of the questionnaire were analyzed to cover proportions with different magnitudes. The prevalence of obesity was included in the analysis since anthropometry measurement in the 2019 survey was performed in a subsample. The value of the point estimate, CV, and the Deff were calculated for each indicator, considering the stratification of the primary sampling units, the weighting of the sampling units, and the clustering effect. The CV and the Deff were lower in the 2019 estimates for most indicators. Concerning the questionnaire indicators of all household members, the Deffs were high and reached values greater than 18 for having a health insurance plan. Regarding the indicators of the individual questionnaire, for the prevalence of obesity, the Deff ranged from 2.7 to 4.2, in 2013, and from 2.7 to 10.2, in 2019. The prevalence of hypertension and diabetes per Federative Unit had a higher CV and lower Deff. Expanding the sample size to meet the diverse health objectives and the high Deff are significant challenges for developing probabilistic household-based national survey. New probabilistic sampling strategies should be considered to reduce costs and clustering effects.Escola Nacional de Saúde Pública Sergio Arouca, Fundação Oswaldo Cruz2022-01-01info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersiontext/htmlhttp://old.scielo.br/scielo.php?script=sci_arttext&pid=S0102-311X2022001304001Cadernos de Saúde Pública v.38 suppl.1 2022reponame:Cadernos de Saúde Públicainstname:Fundação Oswaldo Cruz (FIOCRUZ)instacron:FIOCRUZ10.1590/0102-311x00164321info:eu-repo/semantics/openAccessSouza Júnior,Paulo Roberto Borges deSzwarcwald,Celia LandmannAlmeida,Wanessa da Silva deDamacena,Giseli NogueiraPedroso,Marcel de MoraesSousa,Carlos Augusto Moreira deMorais,Igor da SilvaSaldanha,Raphael de FreitasLima,JeffersonStopa,Sheila Rizzatoeng2022-07-11T00:00:00Zoai:scielo:S0102-311X2022001304001Revistahttp://cadernos.ensp.fiocruz.br/csp/https://old.scielo.br/oai/scielo-oai.phpcadernos@ensp.fiocruz.br||cadernos@ensp.fiocruz.br1678-44640102-311Xopendoar:2022-07-11T00:00Cadernos de Saúde Pública - Fundação Oswaldo Cruz (FIOCRUZ)false |
dc.title.none.fl_str_mv |
Comparison of sampling designs from the two editions of the Brazilian National Health Survey, 2013 and 2019 |
title |
Comparison of sampling designs from the two editions of the Brazilian National Health Survey, 2013 and 2019 |
spellingShingle |
Comparison of sampling designs from the two editions of the Brazilian National Health Survey, 2013 and 2019 Souza Júnior,Paulo Roberto Borges de Health Surveys Sampling Studies Epidemiologic Research Design |
title_short |
Comparison of sampling designs from the two editions of the Brazilian National Health Survey, 2013 and 2019 |
title_full |
Comparison of sampling designs from the two editions of the Brazilian National Health Survey, 2013 and 2019 |
title_fullStr |
Comparison of sampling designs from the two editions of the Brazilian National Health Survey, 2013 and 2019 |
title_full_unstemmed |
Comparison of sampling designs from the two editions of the Brazilian National Health Survey, 2013 and 2019 |
title_sort |
Comparison of sampling designs from the two editions of the Brazilian National Health Survey, 2013 and 2019 |
author |
Souza Júnior,Paulo Roberto Borges de |
author_facet |
Souza Júnior,Paulo Roberto Borges de Szwarcwald,Celia Landmann Almeida,Wanessa da Silva de Damacena,Giseli Nogueira Pedroso,Marcel de Moraes Sousa,Carlos Augusto Moreira de Morais,Igor da Silva Saldanha,Raphael de Freitas Lima,Jefferson Stopa,Sheila Rizzato |
author_role |
author |
author2 |
Szwarcwald,Celia Landmann Almeida,Wanessa da Silva de Damacena,Giseli Nogueira Pedroso,Marcel de Moraes Sousa,Carlos Augusto Moreira de Morais,Igor da Silva Saldanha,Raphael de Freitas Lima,Jefferson Stopa,Sheila Rizzato |
author2_role |
author author author author author author author author author |
dc.contributor.author.fl_str_mv |
Souza Júnior,Paulo Roberto Borges de Szwarcwald,Celia Landmann Almeida,Wanessa da Silva de Damacena,Giseli Nogueira Pedroso,Marcel de Moraes Sousa,Carlos Augusto Moreira de Morais,Igor da Silva Saldanha,Raphael de Freitas Lima,Jefferson Stopa,Sheila Rizzato |
dc.subject.por.fl_str_mv |
Health Surveys Sampling Studies Epidemiologic Research Design |
topic |
Health Surveys Sampling Studies Epidemiologic Research Design |
description |
Our objective is to describe the differences in the sampling plans of the two editions of the Brazilian National Health Survey (PNS 2013 and 2019) and to evaluate how the changes affected the coefficient of variation (CV) and the design effect (Deff) of some estimated indicators. Variables from different parts of the questionnaire were analyzed to cover proportions with different magnitudes. The prevalence of obesity was included in the analysis since anthropometry measurement in the 2019 survey was performed in a subsample. The value of the point estimate, CV, and the Deff were calculated for each indicator, considering the stratification of the primary sampling units, the weighting of the sampling units, and the clustering effect. The CV and the Deff were lower in the 2019 estimates for most indicators. Concerning the questionnaire indicators of all household members, the Deffs were high and reached values greater than 18 for having a health insurance plan. Regarding the indicators of the individual questionnaire, for the prevalence of obesity, the Deff ranged from 2.7 to 4.2, in 2013, and from 2.7 to 10.2, in 2019. The prevalence of hypertension and diabetes per Federative Unit had a higher CV and lower Deff. Expanding the sample size to meet the diverse health objectives and the high Deff are significant challenges for developing probabilistic household-based national survey. New probabilistic sampling strategies should be considered to reduce costs and clustering effects. |
publishDate |
2022 |
dc.date.none.fl_str_mv |
2022-01-01 |
dc.type.driver.fl_str_mv |
info:eu-repo/semantics/article |
dc.type.status.fl_str_mv |
info:eu-repo/semantics/publishedVersion |
format |
article |
status_str |
publishedVersion |
dc.identifier.uri.fl_str_mv |
http://old.scielo.br/scielo.php?script=sci_arttext&pid=S0102-311X2022001304001 |
url |
http://old.scielo.br/scielo.php?script=sci_arttext&pid=S0102-311X2022001304001 |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.relation.none.fl_str_mv |
10.1590/0102-311x00164321 |
dc.rights.driver.fl_str_mv |
info:eu-repo/semantics/openAccess |
eu_rights_str_mv |
openAccess |
dc.format.none.fl_str_mv |
text/html |
dc.publisher.none.fl_str_mv |
Escola Nacional de Saúde Pública Sergio Arouca, Fundação Oswaldo Cruz |
publisher.none.fl_str_mv |
Escola Nacional de Saúde Pública Sergio Arouca, Fundação Oswaldo Cruz |
dc.source.none.fl_str_mv |
Cadernos de Saúde Pública v.38 suppl.1 2022 reponame:Cadernos de Saúde Pública instname:Fundação Oswaldo Cruz (FIOCRUZ) instacron:FIOCRUZ |
instname_str |
Fundação Oswaldo Cruz (FIOCRUZ) |
instacron_str |
FIOCRUZ |
institution |
FIOCRUZ |
reponame_str |
Cadernos de Saúde Pública |
collection |
Cadernos de Saúde Pública |
repository.name.fl_str_mv |
Cadernos de Saúde Pública - Fundação Oswaldo Cruz (FIOCRUZ) |
repository.mail.fl_str_mv |
cadernos@ensp.fiocruz.br||cadernos@ensp.fiocruz.br |
_version_ |
1754115743638618112 |