1999 - 2014年巴西里约热内卢州新生儿期生命统计数据不完整情况的趋势
Trend of incompleteness of vital statistics in the neonatal period, State of Rio de Janeiro, Brazil, 1999-2014.
作者信息
Lino Renata Rodrigues Garcia, Fonseca Sandra Costa, Kale Pauline Lorena, Flores Patrícia Viana Guimarães, Pinheiro Rejane Sobrino, Coeli Cláudia Medina
机构信息
Universidade Federal Fluminense, Instituto de Saúde Coletiva, Niterói, RJ, Brasil.
Universidade Federal do Rio de Janeiro, Instituto de Estudos em Saúde Coletiva, Rio de Janeiro, RJ, Brasil.
出版信息
Epidemiol Serv Saude. 2019 Jul 4;28(2):e2018131. doi: 10.5123/S1679-49742019000200014.
OBJECTIVE
to analyze the incompleteness of variables retrieved from the Live Birth Information System (SINASC) and the Mortality Information System (SIM), in the State of Rio de Janeiro, in the time series 1999 to 2014.
METHODS
this was a time series study of SINASC and SIM; the Romero & Cunha score was used to analyze incompleteness; Joinpoint regression was used to analyze temporal trend; in 2014, deaths were evaluated separately according to investigation.
RESULTS
regarding SINASC variables, in 1999 marital status (37.40%), number of stillborn children (31.30%), and race/skin color (24.63%) had the highest incompleteness percentages; in 2014, no variable exceeded 5% incompleteness, except occupation; regarding SIM variables, in 1999 five variables exceeded 20%, and missing data for previous stillborn children was over 60%; in 2014, only one variable exceeded 20% incompleteness; investigated deaths had better completeness.
CONCLUSION
both systems were found to have improved; the quality of SINASC completeness remained superior to that of SIM.
目的
分析1999年至2014年时间序列里约热内卢州从活产信息系统（SINASC）和死亡信息系统（SIM）检索的变量的不完整性。
方法
这是一项对SINASC和SIM的时间序列研究；采用罗梅罗和库尼亚评分法分析不完整性；采用连接点回归分析时间趋势；2014年，根据调查情况分别评估死亡情况。
结果
关于SINASC变量，1999年婚姻状况（37.40%）、死产儿数量（31.30%）和种族/肤色（24.63%）的不完整性百分比最高；2014年，除职业外，没有变量的不完整性超过5%；关于SIM变量，1999年有五个变量超过20%，前死产儿的缺失数据超过60%；2014年，只有一个变量的不完整性超过20%；经调查的死亡情况完整性更好。
结论
发现两个系统均有改进；SINASC完整性质量仍优于SIM。
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