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To browse Academia. This paper describes the sample design used in the Brazilian application of the World Health Survey. The sample was selected in three stages. The tracts were selected using probabilities proportional to the respective number of households. In the second stage, households were selected with equiprobability using an inverse sample design to ensure 20 households interviewed per tract.
In the last stage, one adult 18 years or older per household was selected with equiprobability to answer the majority of the questionnaire. Sample weights were based on the inverse of the inclusion probabilities in the sample. To reduce bias in regional estimates, a household weighting calibration procedure was used to reduce sample bias in relation to income, sex, and age group. Jefferson Lima. Our objective is to describe the differences in the sampling plans of the two editions of the Brazilian National Health Survey PNS and and to evaluate how the changes affected the coefficient of variation CV and the design effect Deff of some estimated indicators.
Variables from different parts of the questionnaire were analyzed to cover proportions with different magnitudes. The prevalence of obesity was included in the analysis since anthropometry measurement in the survey was performed in a subsample. The value of the point estimate, CV, and the Deff were calculated for each indicator, considering the stratification of the primary sampling units, the weighting of the sampling units, and the clustering effect.
The CV and the Deff were lower in the estimates for most indicators. Concerning the questionnaire indicators of all household members, the Deffs were high and reached values greater than 18 for having a health insurance plan.