2014
DOI: 10.1590/1415-790x201400010013eng
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Abstract: 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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Cited by 7 publications
(6 citation statements)
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“…Although VIGITEL took into account this variation in post-stratification weighting, race/color categories were not considered in the weighting process [33] , which could potentially bias results. However, a recent evaluation of the potential bias from using only landline phones conducted in two of the capitals with relatively low landline coverage showed little bias in terms of self-reported diabetes after post-stratification weighting [34] , [35] .…”
Section: Discussionmentioning
confidence: 99%
“…Although VIGITEL took into account this variation in post-stratification weighting, race/color categories were not considered in the weighting process [33] , which could potentially bias results. However, a recent evaluation of the potential bias from using only landline phones conducted in two of the capitals with relatively low landline coverage showed little bias in terms of self-reported diabetes after post-stratification weighting [34] , [35] .…”
Section: Discussionmentioning
confidence: 99%
“…The use of just landline telephones to reach participants, and changing rates of response and refusal over time are additional limitations. However, Vigitel adjustments are performed to account for this potential bias and comparison of Vigitel data, once appropriately weighted to take into account these sampling issues, with those from household surveys do not show important differences in diabetes prevalence [27, 28]. Moreover, although we cannot generalize our findings to all Brazilian adults, a recent national survey [29] found a similar prevalence (6.5 vs. 6.9 % for Vigitel, in 2013) for the urban Brazilian population, which today represents over 85 % of the total population.…”
Section: Discussionmentioning
confidence: 99%
“…During this period, several studies evaluated the presence of biases in estimates published by Vigitel, by comparing results obtained in household surveys and Vigitel. The results presented biases in some indicators released by Vigitel, in cities with high 4 - 7 , average 4 , 8 , and low 4 , 9 , 10 landline coverage. In Rio Branco, because of the exclusion of 60% of households without access to landline, Bernal et al 9 showed that the post-stratification weights of Vigitel did not fix potential biases of the prevalence of practice of physical activity in free time, hypertension, asthma, asthmatic bronchitis, chronic bronchitis, or emphysema in the city.…”
Section: Introductionmentioning
confidence: 83%