Effect of the inclusion of mobile phone interviews to Vigitel
Autor(a) principal: | |
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Data de Publicação: | 2017 |
Outros Autores: | , , |
Tipo de documento: | Artigo |
Idioma: | eng |
Título da fonte: | Revista de Saúde Pública |
Texto Completo: | http://old.scielo.br/scielo.php?script=sci_arttext&pid=S0034-89102017000200304 |
Resumo: | ABSTRACT OBJECTIVE To evaluate the impact on the prevalence changes of risk factors for chronic diseases, published in the Surveillance System of Risk and Protection Factors for Chronic Diseases by Telephone Survey (Vigitel), after the inclusion of data from the population only with mobile phone. METHODS Our study used data from the 26 State capitals and Federal District of Brazil obtained by the National Survey on Health (PNS) and Vigitel, both held in 2013. In each capital, we added a subsample of 200 adults living in households with only mobile phones, extracted from PNS, to the Vigitel 2013 database, with approximately 1,900 households, named Vigitel dual frame. RESULTS Vigitel results showed absolute relative biases between 0.18% and 14.85%. The system underestimated the frequency of adult smokers (10.77%), whole milk consumption (52.82%), and soft drink consumption (22.22%). Additionally, it overestimated the prevalence of hypertension (25.46%). In the simulations using Vigitel dual frame, with inclusion of the sample of adults living in households with only mobile phones, the bias of estimates was reduced in five out of eight analyzed indicators, with greater effects in regions with lower rates of landline coverage. In comparing regions, we observed negative correlation (ρ = −0.91) between the percentage of indicators with presence of bias and the percentage of households with only mobile phone. CONCLUSIONS The results of this study indicate the benefits of including a subsample of 200 adults with only mobile phone on the Vigitel sample, especially in the capitals of the North and Northeast regions. |
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Effect of the inclusion of mobile phone interviews to VigitelInterviews as TopicCell Phones, utilizationFramesData CollectionHealth SurveysChronic Disease, epidemiologyABSTRACT OBJECTIVE To evaluate the impact on the prevalence changes of risk factors for chronic diseases, published in the Surveillance System of Risk and Protection Factors for Chronic Diseases by Telephone Survey (Vigitel), after the inclusion of data from the population only with mobile phone. METHODS Our study used data from the 26 State capitals and Federal District of Brazil obtained by the National Survey on Health (PNS) and Vigitel, both held in 2013. In each capital, we added a subsample of 200 adults living in households with only mobile phones, extracted from PNS, to the Vigitel 2013 database, with approximately 1,900 households, named Vigitel dual frame. RESULTS Vigitel results showed absolute relative biases between 0.18% and 14.85%. The system underestimated the frequency of adult smokers (10.77%), whole milk consumption (52.82%), and soft drink consumption (22.22%). Additionally, it overestimated the prevalence of hypertension (25.46%). In the simulations using Vigitel dual frame, with inclusion of the sample of adults living in households with only mobile phones, the bias of estimates was reduced in five out of eight analyzed indicators, with greater effects in regions with lower rates of landline coverage. In comparing regions, we observed negative correlation (ρ = −0.91) between the percentage of indicators with presence of bias and the percentage of households with only mobile phone. CONCLUSIONS The results of this study indicate the benefits of including a subsample of 200 adults with only mobile phone on the Vigitel sample, especially in the capitals of the North and Northeast regions.Faculdade de Saúde Pública da Universidade de São Paulo2017-01-01info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersiontext/htmlhttp://old.scielo.br/scielo.php?script=sci_arttext&pid=S0034-89102017000200304Revista de Saúde Pública v.51 suppl.1 2017reponame:Revista de Saúde Públicainstname:Universidade de São Paulo (USP)instacron:USP10.1590/s1518-8787.2017051000171info:eu-repo/semantics/openAccessBernal,Regina Tomie IvataMalta,Deborah CarvalhoClaro,Rafael MoreiraMonteiro,Carlos Augustoeng2017-05-30T00:00:00Zoai:scielo:S0034-89102017000200304Revistahttp://www.scielo.br/scielo.php?script=sci_serial&pid=0034-8910&lng=pt&nrm=isoONGhttps://old.scielo.br/oai/scielo-oai.phprevsp@org.usp.br||revsp1@usp.br1518-87870034-8910opendoar:2017-05-30T00:00Revista de Saúde Pública - Universidade de São Paulo (USP)false |
dc.title.none.fl_str_mv |
Effect of the inclusion of mobile phone interviews to Vigitel |
title |
Effect of the inclusion of mobile phone interviews to Vigitel |
spellingShingle |
Effect of the inclusion of mobile phone interviews to Vigitel Bernal,Regina Tomie Ivata Interviews as Topic Cell Phones, utilization Frames Data Collection Health Surveys Chronic Disease, epidemiology |
title_short |
Effect of the inclusion of mobile phone interviews to Vigitel |
title_full |
Effect of the inclusion of mobile phone interviews to Vigitel |
title_fullStr |
Effect of the inclusion of mobile phone interviews to Vigitel |
title_full_unstemmed |
Effect of the inclusion of mobile phone interviews to Vigitel |
title_sort |
Effect of the inclusion of mobile phone interviews to Vigitel |
author |
Bernal,Regina Tomie Ivata |
author_facet |
Bernal,Regina Tomie Ivata Malta,Deborah Carvalho Claro,Rafael Moreira Monteiro,Carlos Augusto |
author_role |
author |
author2 |
Malta,Deborah Carvalho Claro,Rafael Moreira Monteiro,Carlos Augusto |
author2_role |
author author author |
dc.contributor.author.fl_str_mv |
Bernal,Regina Tomie Ivata Malta,Deborah Carvalho Claro,Rafael Moreira Monteiro,Carlos Augusto |
dc.subject.por.fl_str_mv |
Interviews as Topic Cell Phones, utilization Frames Data Collection Health Surveys Chronic Disease, epidemiology |
topic |
Interviews as Topic Cell Phones, utilization Frames Data Collection Health Surveys Chronic Disease, epidemiology |
description |
ABSTRACT OBJECTIVE To evaluate the impact on the prevalence changes of risk factors for chronic diseases, published in the Surveillance System of Risk and Protection Factors for Chronic Diseases by Telephone Survey (Vigitel), after the inclusion of data from the population only with mobile phone. METHODS Our study used data from the 26 State capitals and Federal District of Brazil obtained by the National Survey on Health (PNS) and Vigitel, both held in 2013. In each capital, we added a subsample of 200 adults living in households with only mobile phones, extracted from PNS, to the Vigitel 2013 database, with approximately 1,900 households, named Vigitel dual frame. RESULTS Vigitel results showed absolute relative biases between 0.18% and 14.85%. The system underestimated the frequency of adult smokers (10.77%), whole milk consumption (52.82%), and soft drink consumption (22.22%). Additionally, it overestimated the prevalence of hypertension (25.46%). In the simulations using Vigitel dual frame, with inclusion of the sample of adults living in households with only mobile phones, the bias of estimates was reduced in five out of eight analyzed indicators, with greater effects in regions with lower rates of landline coverage. In comparing regions, we observed negative correlation (ρ = −0.91) between the percentage of indicators with presence of bias and the percentage of households with only mobile phone. CONCLUSIONS The results of this study indicate the benefits of including a subsample of 200 adults with only mobile phone on the Vigitel sample, especially in the capitals of the North and Northeast regions. |
publishDate |
2017 |
dc.date.none.fl_str_mv |
2017-01-01 |
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=S0034-89102017000200304 |
url |
http://old.scielo.br/scielo.php?script=sci_arttext&pid=S0034-89102017000200304 |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.relation.none.fl_str_mv |
10.1590/s1518-8787.2017051000171 |
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 |
Faculdade de Saúde Pública da Universidade de São Paulo |
publisher.none.fl_str_mv |
Faculdade de Saúde Pública da Universidade de São Paulo |
dc.source.none.fl_str_mv |
Revista de Saúde Pública v.51 suppl.1 2017 reponame:Revista de Saúde Pública instname:Universidade de São Paulo (USP) instacron:USP |
instname_str |
Universidade de São Paulo (USP) |
instacron_str |
USP |
institution |
USP |
reponame_str |
Revista de Saúde Pública |
collection |
Revista de Saúde Pública |
repository.name.fl_str_mv |
Revista de Saúde Pública - Universidade de São Paulo (USP) |
repository.mail.fl_str_mv |
revsp@org.usp.br||revsp1@usp.br |
_version_ |
1748936504286117888 |