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Effect of the inclusion of mobile phone interviews to Vigitel

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: O...

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Autores principales: Bernal, Regina Tomie Ivata, Malta, Deborah Carvalho, Claro, Rafael Moreira, Monteiro, Carlos Augusto
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Faculdade de Saúde Pública da Universidade de São Paulo 2017
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5676392/
https://www.ncbi.nlm.nih.gov/pubmed/28591355
http://dx.doi.org/10.1590/S1518-8787.2017051000171
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author Bernal, Regina Tomie Ivata
Malta, Deborah Carvalho
Claro, Rafael Moreira
Monteiro, Carlos Augusto
author_facet Bernal, Regina Tomie Ivata
Malta, Deborah Carvalho
Claro, Rafael Moreira
Monteiro, Carlos Augusto
author_sort Bernal, Regina Tomie Ivata
collection PubMed
description 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 pubmed-56763922017-12-12 Effect of the inclusion of mobile phone interviews to Vigitel Bernal, Regina Tomie Ivata Malta, Deborah Carvalho Claro, Rafael Moreira Monteiro, Carlos Augusto Rev Saude Publica Original Articles 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 Paulo 2017-06-01 /pmc/articles/PMC5676392/ /pubmed/28591355 http://dx.doi.org/10.1590/S1518-8787.2017051000171 Text en http://creativecommons.org/licenses/by/4.0/ This is an Open Access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Original Articles
Bernal, Regina Tomie Ivata
Malta, Deborah Carvalho
Claro, Rafael Moreira
Monteiro, Carlos Augusto
Effect of the inclusion of mobile phone interviews to Vigitel
title 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_short Effect of the inclusion of mobile phone interviews to Vigitel
title_sort effect of the inclusion of mobile phone interviews to vigitel
topic Original Articles
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5676392/
https://www.ncbi.nlm.nih.gov/pubmed/28591355
http://dx.doi.org/10.1590/S1518-8787.2017051000171
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