EpiFloripa Health Survey: the methodological and operational aspects behind the scenes

Detalhes bibliográficos
Autor(a) principal: Boing,Alexandra Crispim
Data de Publicação: 2014
Outros Autores: Peres,Karen Glazer, Boing,Antonio Fernando, Hallal,Pedro C, Silva,Nilza Nunes, Peres,Marco Aurélio
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Revista brasileira de epidemiologia (Online)
Texto Completo: http://old.scielo.br/scielo.php?script=sci_arttext&pid=S1415-790X2014000100147
Resumo: The present study aims at describing the sampling plan, operational aspects and strategies used to optimize the field work of a cross-sectional, population-based study conducted in a southern capital of Brazil. For this purpose, the sample design, data collection instrument, selection of interviewers, pilot study, data collection, field logistics, quality control, consistency control, costs, and divulgation of results are herein described. The study's response rate was 85.3%. We found that the comparison of frequency measurements with and without self-assessment had no significant impact on the estimates, and that the design effect, estimated at 2, was sufficient for most calculations. The reproducibility of the questionnaire was satisfactory, with Kappa values and intraclass correlation coefficients ranging from 0.6 to 0.9. The strategies used to overcome operational problems, such as counting of households, use of maps, questionnaire structuring, rigorous organization of the field work and monitoring of the estimates were fundamental in conducting the study.
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spelling EpiFloripa Health Survey: the methodological and operational aspects behind the scenesCross-sectional studiesHealth surveysData collectionCluster samplingThe present study aims at describing the sampling plan, operational aspects and strategies used to optimize the field work of a cross-sectional, population-based study conducted in a southern capital of Brazil. For this purpose, the sample design, data collection instrument, selection of interviewers, pilot study, data collection, field logistics, quality control, consistency control, costs, and divulgation of results are herein described. The study's response rate was 85.3%. We found that the comparison of frequency measurements with and without self-assessment had no significant impact on the estimates, and that the design effect, estimated at 2, was sufficient for most calculations. The reproducibility of the questionnaire was satisfactory, with Kappa values and intraclass correlation coefficients ranging from 0.6 to 0.9. The strategies used to overcome operational problems, such as counting of households, use of maps, questionnaire structuring, rigorous organization of the field work and monitoring of the estimates were fundamental in conducting the study.Associação Brasileira de Saúde Coletiva2014-03-01info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersiontext/htmlhttp://old.scielo.br/scielo.php?script=sci_arttext&pid=S1415-790X2014000100147Revista Brasileira de Epidemiologia v.17 n.1 2014reponame:Revista brasileira de epidemiologia (Online)instname:Associação Brasileira de Saúde Coletiva (ABRASCO)instacron:ABRASCO10.1590/1415-790X201400010012ENGinfo:eu-repo/semantics/openAccessBoing,Alexandra CrispimPeres,Karen GlazerBoing,Antonio FernandoHallal,Pedro CSilva,Nilza NunesPeres,Marco Aurélioeng2015-01-12T00:00:00Zoai:scielo:S1415-790X2014000100147Revistahttp://www.scielo.br/rbepidhttps://old.scielo.br/oai/scielo-oai.php||revbrepi@usp.br1980-54971415-790Xopendoar:2015-01-12T00:00Revista brasileira de epidemiologia (Online) - Associação Brasileira de Saúde Coletiva (ABRASCO)false
dc.title.none.fl_str_mv EpiFloripa Health Survey: the methodological and operational aspects behind the scenes
title EpiFloripa Health Survey: the methodological and operational aspects behind the scenes
spellingShingle EpiFloripa Health Survey: the methodological and operational aspects behind the scenes
Boing,Alexandra Crispim
Cross-sectional studies
Health surveys
Data collection
Cluster sampling
title_short EpiFloripa Health Survey: the methodological and operational aspects behind the scenes
title_full EpiFloripa Health Survey: the methodological and operational aspects behind the scenes
title_fullStr EpiFloripa Health Survey: the methodological and operational aspects behind the scenes
title_full_unstemmed EpiFloripa Health Survey: the methodological and operational aspects behind the scenes
title_sort EpiFloripa Health Survey: the methodological and operational aspects behind the scenes
author Boing,Alexandra Crispim
author_facet Boing,Alexandra Crispim
Peres,Karen Glazer
Boing,Antonio Fernando
Hallal,Pedro C
Silva,Nilza Nunes
Peres,Marco Aurélio
author_role author
author2 Peres,Karen Glazer
Boing,Antonio Fernando
Hallal,Pedro C
Silva,Nilza Nunes
Peres,Marco Aurélio
author2_role author
author
author
author
author
dc.contributor.author.fl_str_mv Boing,Alexandra Crispim
Peres,Karen Glazer
Boing,Antonio Fernando
Hallal,Pedro C
Silva,Nilza Nunes
Peres,Marco Aurélio
dc.subject.por.fl_str_mv Cross-sectional studies
Health surveys
Data collection
Cluster sampling
topic Cross-sectional studies
Health surveys
Data collection
Cluster sampling
description The present study aims at describing the sampling plan, operational aspects and strategies used to optimize the field work of a cross-sectional, population-based study conducted in a southern capital of Brazil. For this purpose, the sample design, data collection instrument, selection of interviewers, pilot study, data collection, field logistics, quality control, consistency control, costs, and divulgation of results are herein described. The study's response rate was 85.3%. We found that the comparison of frequency measurements with and without self-assessment had no significant impact on the estimates, and that the design effect, estimated at 2, was sufficient for most calculations. The reproducibility of the questionnaire was satisfactory, with Kappa values and intraclass correlation coefficients ranging from 0.6 to 0.9. The strategies used to overcome operational problems, such as counting of households, use of maps, questionnaire structuring, rigorous organization of the field work and monitoring of the estimates were fundamental in conducting the study.
publishDate 2014
dc.date.none.fl_str_mv 2014-03-01
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=S1415-790X2014000100147
url http://old.scielo.br/scielo.php?script=sci_arttext&pid=S1415-790X2014000100147
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv 10.1590/1415-790X201400010012ENG
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 Associação Brasileira de Saúde Coletiva
publisher.none.fl_str_mv Associação Brasileira de Saúde Coletiva
dc.source.none.fl_str_mv Revista Brasileira de Epidemiologia v.17 n.1 2014
reponame:Revista brasileira de epidemiologia (Online)
instname:Associação Brasileira de Saúde Coletiva (ABRASCO)
instacron:ABRASCO
instname_str Associação Brasileira de Saúde Coletiva (ABRASCO)
instacron_str ABRASCO
institution ABRASCO
reponame_str Revista brasileira de epidemiologia (Online)
collection Revista brasileira de epidemiologia (Online)
repository.name.fl_str_mv Revista brasileira de epidemiologia (Online) - Associação Brasileira de Saúde Coletiva (ABRASCO)
repository.mail.fl_str_mv ||revbrepi@usp.br
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