Centre for Economic Demography, Lund University, Lund, Sweden.
Paediatr Perinat Epidemiol. 2012 Jul;26(4):310-5. doi: 10.1111/j.1365-3016.2012.01287.x. Epub 2012 May 28.
Birthweight and gestational age are key indicators for perinatal health obtained through the birth certificate. Knowing the validity of birth certificate data is crucial when identifying needs and evaluating birth outcomes. In Spain, vital information is reported by parents and is not checked for consistency with any hospital document. Therefore, to perform a validation study and describe the variables associated with misreporting is essential to improve the quality of birth certificates.
A database was created using birth information from hospital medical records that were individually linked with the Spanish National Institute of Statistics (INE) birth certificate files. Measures of reliability and validity were used to compare the data from the two sources. Logistic regression models were adjusted to model the odds of being misreported in birthweight and gestational age, controlling for relevant variables.
INE overestimated the prevalence of birthweight and gestational age. The degree of agreement between the two sources was good for most gestational age groups (Kappa = 0.74), very good for the very preterm (Kappa = 0.85) and very good also for all categories of birthweight (Kappa = 0.88). Misreporting was significantly higher among immigrants, unmarried mothers and girls. Being a preterm birth increased the odds of being declared with errors in gestational age; having low birthweight and missing information on gestational age were associated with misreporting birthweight.
The reliability of INE information could be greatly improved if hospitals included birthweight and gestational age on the document provided to parents for registering the birth.
出生体重和胎龄是通过出生证明获得的围产期健康的关键指标。了解出生证明数据的有效性对于确定需求和评估出生结果至关重要。在西班牙,重要信息由父母报告,并且不会与任何医院文件进行一致性检查。因此,进行验证研究并描述与错误报告相关的变量对于提高出生证明的质量至关重要。
使用来自医院病历的出生信息创建了一个数据库,并将其与西班牙国家统计局(INE)的出生证明文件进行个体链接。使用可靠性和有效性测量来比较两个来源的数据。调整逻辑回归模型以控制相关变量来模拟出生体重和胎龄的错误报告概率。
INE 高估了出生体重和胎龄的流行率。两个来源之间的一致性程度对于大多数胎龄组都很好(Kappa = 0.74),对于极早产儿(Kappa = 0.85)非常好,对于所有出生体重类别也非常好(Kappa = 0.88)。移民、未婚母亲和女孩的错误报告率明显更高。早产会增加胎龄错误申报的几率;出生体重低和胎龄信息缺失与错误报告出生体重相关。
如果医院将出生体重和胎龄包含在提供给父母登记出生的文件中,INE 的信息可靠性可以大大提高。