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(Reference retrieved automatically from Web of Science through information on FAPESP grant and its corresponding number as mentioned in the publication by the authors.)

Coverage, completeness and reliability of the data in the Information System on Live Births in public maternity wards in the municipality in Sao Paulo, Brazil, 2011

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Bonilha, Eliana de Aquino [1] ; Ramos Vico, Eneida Sanches [1] ; de Freitas, Marina [1] ; Barbuscia, Denise Machado [1] ; Brassea Galleguillos, Tatiana Gabriela [1] ; Okamura, Mirna Namie [1] ; dos Santos, Patricia Carla [1] ; Tenorio de Azevedo Lira, Margarida Maria [1] ; Torloni, Maria Regina [2]
Total Authors: 9
[1] Secretaria Municipal Saude Sao Paulo, Coordenacao Epidemiol & Informacao, Rua Gen Jardim 36, BR-01223010 Sao Paulo, SP - Brazil
[2] Univ Fed Sao Paulo, Programa Posgrad Saude Baseada Evidencias, Sao Paulo, SP - Brazil
Total Affiliations: 2
Document type: Journal article
Source: EPIDEMIOLOGIA E SERVICOS DE SAUDE; v. 27, n. 1 2018.
Web of Science Citations: 1

Objective: to assess the coverage, completeness and reliability of data on live births in public maternity wards in Sao Paulo, Brazil. Methods: data recorded in the Information System on Live Births (Sinasc) were compared with data collected in a field study (gold standard) during three months in 2011 in four maternity wards in hospital from the SUS network; kappa coefficient was calculated to assess agreement. Results: 5,785 birth records were analyzed; Sinasc coverage was 99.8% and completeness was 96.2%; kappa values showed excellent and good agreement for maternal age (0.99), type of pregnancy, sex and newborn sex and birth weight (0.98), type of delivery (0.97), 1 minute (0.96) and 5th (0.95) minutes, previous live births (0.87) and education level (0.62); regular agreement for prenatal care visits (0.60) and gestational age (0.56); and weak agreement for previous stillbirths (0.09). Conclusion: in the assessed hospitals, Sinasc presented high coverage, completeness and reliability. (AU)

FAPESP's process: 09/53253-8 - Study of the binomial mother-child: an imperious need to achieve the millennium development goals
Grantee:Ruy Laurenti
Support type: Research Grants - Research in Public Policies for the National Health Care System (PP-SUS)