Silva A A, Ribeiro V S, Borba A F, Coimbra L C, Silva R A
Departamento de Saúde Pública, Universidade Federal do Maranhão, São Luís, MA, Brasil.
Rev Saude Publica. 2001 Dec;35(6):508-14. doi: 10.1590/s0034-89102001000600003.
To verify the concordance between data routinely collected by the Sinasc (Information System on Live Births) and data obtained by a cross-sectional survey (gold standard).
The survey was performed in a sample of 2,831 hospital deliveries in ten maternity hospitals of the municipality of São Luís, Brazil. The sample frame represented about 98% of hospital births. Sinasc's data was compared with the survey data using a computerized linkage program. Sinasc's hospital births coverage, percentage of missing or unrecorded data and consistency between Sinasc 's and the survey's data were analyzed. Concordance was measured using the kappa indicator for qualitative variables and the intraclass correlation coefficient for quantitative variables.
The estimated Sinasc coverage was 75.8% (95% CI: 73.3%-78.2%). Five Sinasc's data fields showed good reliability: birth weight, newborn sex, hospital of birth, type of delivery and maternal age. Low birth weight rates estimated by the two data sources were similar and the concordance was high (kappa=0.94). However, preterm birth rates were higher in the survey (11.2%) than according to Sinasc 's data (1.7%) and the concordance was low (kappa=0.09).
Estimated Sinasc coverage was low. Low birth weight rates from Sinasc's data seem to be valid and reliable. Preterm birth rates from Sinasc's data are underestimated.
验证巴西圣路易斯市的Sinasc（活产信息系统）常规收集的数据与横断面调查（金标准）获得的数据之间的一致性。
对巴西圣路易斯市十家妇产医院的2831例医院分娩样本进行了调查。样本框架代表了约98%的医院分娩。使用计算机链接程序将Sinasc的数据与调查数据进行比较。分析了Sinasc的医院分娩覆盖率、缺失或未记录数据的百分比以及Sinasc与调查数据之间的一致性。使用定性变量的kappa指标和定量变量的组内相关系数来衡量一致性。
估计的Sinasc覆盖率为75.8%（95%CI：73.3%-78.2%）。Sinasc的五个数据字段显示出良好的可靠性：出生体重、新生儿性别、出生医院、分娩类型和产妇年龄。两个数据源估计的低出生体重率相似，一致性较高（kappa=0.94）。然而，调查中的早产率（11.2%）高于Sinasc数据中的早产率（1.7%），一致性较低（kappa=0.09）。
估计的Sinasc覆盖率较低。Sinasc数据中的低出生体重率似乎有效且可靠。Sinasc数据中的早产率被低估。
