EpiFloripa Health Survey: the methodological and operational aspects behind the scenes
Autor(a) principal: | |
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Data de Publicação: | 2014 |
Outros Autores: | , , , , |
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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Revista brasileira de epidemiologia (Online) |
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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 |
_version_ |
1754212953470533632 |