期刊
CADERNOS DE SAUDE PUBLICA
卷 30, 期 -, 页码 -出版社
CADERNOS SAUDE PUBLICA
DOI: 10.1590/0102-311X00176013
关键词
Sampling Studies; Stratified Sampling; Statistical Modeles; Parturition
资金
- National Council for Scientific and Technological Development (CNPq)
- Science and Tecnology Department, Secretariat of Science, Tecnology, and Strategic Inputs, Brazilian Ministry of Health
- National School of Public Health, Oswaldo Cruz Foundation (INOVA Project)
- Foundation for supporting Research in the State of Rio de Janeiro (Faperj)
This paper describes the sample design for the National Survey into Labor and Birth in Brazil. The hospitals with 500 or more live births in 2007 were stratified into: the five Brazilian regions; state capital or not; and type of governance. They were then selected with probability proportional to the number of live births in 2007. An inverse sampling method was used to select as many days (minimum of 7) as necessary to reach 90 interviews in the hospital. Postnatal women were sampled with equal probability from the set of eligible women, who had entered the hospital in the sampled days. Initial sample weights were computed as the reciprocals of the sample inclusion probabilities and were calibrated to ensure that total estimates of the number of live births from the survey matched the known figures obtained from the Brazilian System of Information on Live Births. For the two telephone follow-up waves (6 and 12 months later), the postnatal woman's response probability was modelled using baseline covariate information in order to adjust the sample weights for nonresponse in each follow-up wave.
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