Vigitel – Aracaju, Sergipe, 2008: the effects of post-stratification adjustments in correcting biases due to the small amount of households with a landline telephone
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2014-03
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Introduction: The Telephone Survey has several attractions, such as low operational costs and
speed the process, when compared to the Household Survey. However, the exclusion of house holds without
a landline phone canpose a serious question of the valid it yof the estimates. Objective: Evaluating the use of
post stratification adjustments to correct the potential biasdue to low coverage of landline phonein the results
published in the Vigitel system. Methods: We compared the prevalence obtained by the Household Survey
and the Vigitel, in Aracaju, Sergipe, where 49% of households had a telephone, calculating the differences
measured between the surveys thatused the square root mean square error as a measure of accuracy of the
estimate. Results: The Household Survey showed ten variables associated with landline phone. From this set of
variables, post stratification weights corrected the potential bias of the consumption of beans in five or more
days per week, vegetables intake regularly and recommended self-assessment of health as bad and morbidity
of diabetes,while the weights partially eliminated the bias of the prevalence of asthma, possession of health
insurance coverage and prevention of breast cancer in women aged 50 to 59 years. Conclusions: In order to
reduce the potential bias in the results published by Vigitel system, in areas with low telephone coverage, it
becomes necessary to use alternative weighting procedures and selection strategy of external variables for
construction of post-stratification weights.
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Selection bias, Data collection, Interview, Population surveys, Inquéritos, Coleta de dados, Entrevista por telefone
Citação
BERNAL, Regina Tomie Ivata et al.Vigitel – Aracaju, Sergipe, 2008: the effects of post-stratification adjustments in correcting biases due to the small amount of households with a landline telephone. Revista Brasileira de Epidemiologia, São Paulo, v. 17, n. 1, p. 163-174, 2014.