Reliability of data from a very low birth weight population in the Live Birth Information System 2005-2006.

Reliability of data from a very low birth weight population in the Live Birth Information System 2005-2006.
复制标题

2005-2006 年活产信息系统中极低出生体重人口数据的可靠性。

DOI:
--
复制
发表时间:
2012
期刊:
Revista brasileira de epidemiologia = Brazilian journal of epidemiology
影响因子:
--
通讯作者:
R. Pinheiro
R. Pinheiro
中科院分区:
--
文献类型:
--
作者:
Patrícia Viana Guimarães;C. Coeli;R. A. Cardoso;R. Medronho;S. Fonseca;R. Pinheiro

文献摘要

被引文献

相似文献

本研究的目的是评价从活产信息系统(SINASC)和医院记录的新生儿高危情况下获得的数据之间的完整性和协议。使用RecLink III软件,利用公共卫生新生儿重症监护室和国家新生儿健康和营养状况调查系统(2005-2006年)的数据库进行了概率数据链接,这使得分析两个数据库中存在的170例极低出生体重(500克至1 499克)活产婴儿的数据成为可能。评价的变量为:产妇年龄、产前护理就诊次数、分娩类型、性别、出生体重、第1分钟和第5分钟的Apgar评分以及胎龄。SINASC的完整性从91.8%(第1分钟Apgar评分)到100%(性别、分娩类型和母亲年龄)不等。为了评价一致性,kappa系数用于二分变量,加权kappa用于有序变量,组内相关系数(ICC)和Bland-Altman图形方法用于连续变量。认为第1分钟Apgar评分的一致性为良好至极好(加权kappa = 0.98),交付类型(kappa = 0.96),母亲年龄(ICC = 0.95),第5分钟Apgar评分(加权kappa = 0.93),性别(kappa = 0.92)和产前检查(加权kappa = 0.76),但仅胎龄(加权kappa = 0.50)和出生体重(ICC = 0.57)尚可。虽然出生体重可能更容易在高危新生儿人群中出现登记错误,但分析的大多数变量的可靠性提高证实了SINASC作为围产期流行病学研究信息来源的重要性,即使在处理高危新生儿情况时。
The objective of the present study was to evaluate the completeness and agreement between data obtained from the Live Birth Information System (SINASC) and hospital records for high neonatal risk situations. Using RecLink III software, a probabilistic data linkage was carried out using databases from a Public Health Neonatal Intensive Care Unit and SINASC (years 2005-2006), which made possible the analysis of data from 170 live births with very low birth weight (between 500g and 1,499g), present at both databases. Variables evaluated were: maternal age, number of antenatal care visits, delivery type, sex, birth weight, Apgar score at 1st and 5th minutes and gestational age. Completeness in SINASC varied from 91.8% (1st minute Apgar Score) to 100% (variables sex, delivery type and maternal age). To evaluate agreement, kappa coefficient was used for dichotomous variables, weighted kappa was used for ordinal variables and intraclass correlation coefficient (ICC) and Bland-Altman graphic approach were used for continuous variables. Agreement was considered good to excellent for 1ST minute Apgar score (weighted kappa = 0.98), delivery type (kappa = 0.96), maternal age (ICC = 0.95), 5TH minute Apgar Score (weighted kappa = 0.93), sex (kappa = 0.92) and antenatal care visits (weighted kappa = 0.76), but only fair for gestational age (weighted kappa = 0.50) and birth weight (ICC = 0.57). Although birth weight might be more prone to registry errors in high risk neonatal populations, the elevated reliability observed for most variables analyzed corroborates SINASC importance as a source of information for perinatal epidemiology studies, even when dealing with high risk neonatal situations.