Sampling plan and methodological aspects: a household healthcare survey in Piauí

• Autor(a) principal: Rodrigues,Lays Arnaud Rosal Lopes
• Data de Publicação: 2021
• Outros Autores: Costa e Silva,Danilla Michelle, Oliveira,Edina Araújo Rodrigues, Lavôr,Layanne Cristina de Carvalho, Sousa,Rosana Rodrigues de, Carvalho,Rumão Batista Nunes de, Farias Junior,Gilvo de, Formiga,Laura Maria Feitosa, Sousa,Artemizia Francisca de, Cardoso,Maria Regina Alves, Slater,Betzabeth, Conde,Wolney Lisbôa, Paiva,Adriana de Azevedo, Frota,Karoline de Macêdo Gonçalves
• Tipo de documento: Artigo
• Idioma: eng
• Título da fonte: Revista de Saúde Pública
• Texto Completo: http://old.scielo.br/scielo.php?script=sci_arttext&pid=S0034-89102021000100297
• topic: Health Surveys, methods; Data Collection, methods; Cluster Sampling; Stratified Sampling

ABSTRACT OBJECTIVE To describe the methodological aspects of the Piauí home healthcare survey (ISAD-PI) and assess the relation between sampling plan, precision, and design effects, assuming that population health surveys are relevant instruments for health monitoring. METHODS ISAD-PI was a population-based cross-sectional study that analyzed the living conditions and health status of the population residing in urban areas in the municipalities of Teresina and Picos, in Piauí. Sampling was carried out by conglomerates in two stages: Primary Sampling Units and households. To calculate the sample size, we considered the stratification of the population in both cities, according to the age of the individuals. We evaluated the “non-response” rate (NRR) and estimated the proportions according to sex and age, as well as the prevalence of social determinants of health in order to assess the compliance of the sampling plan. Analyses related to the precision according to the coefficient of proportion variation of the standard error (Cv-pˆ) and the design effect (deff). Cv-pˆ less than 20% and deff less than 1.5 were considered adequate. The total NRR of households was 38.2% in Teresina and 38.3% in Picos. We carried out twenty-four proportion estimates in relation to age and sex and 48 prevalence of social and health determinants estimates, totaling 72 estimates. Among them, 71 had Cv-pˆ less than 20% and 61 had deff less than or equal to 1.5. CONCLUSION Data generated from the ISAD-PI may contribute to the assessment of health and morbidity conditions in the population. Furthermore, methodological aspects employed in this research may serve as a basis for studies carried out in other cities in Brazil.