Effect of the inclusion of mobile phone interviews to Vigitel

Bibliographic Details
Main Author: Bernal,Regina Tomie Ivata
Publication Date: 2017
Other Authors: Malta,Deborah Carvalho, Claro,Rafael Moreira, Monteiro,Carlos Augusto
Format: Article
Language: eng
Source: Revista de Saúde Pública
Download full: http://old.scielo.br/scielo.php?script=sci_arttext&pid=S0034-89102017000200304
Summary: 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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spelling 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
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