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定义低风险出生队列:一项队列研究,比较了加拿大安大略省两个产周数据集

Elizabeth Kathleen Darling^1,2, Olivia Marquez¹, Alison L Park³

¹McMaster Midwifery Research Centre, 1280 Main Street West, HSC 4H24, Hamilton, ON, L8S 4K1 Canada.

International journal of population data science

|March 20, 2024

概括

更好的结果注册网 (BORN) 数据库和加拿大卫生信息信息退学摘要数据库 (CIHI-DAD) 显示,围产期数据的一致性很高. 这两个数据库都可以识别低风险出生队列,但了解数据收集是关键.

科学领域:

围产期健康监测围产期健康监测
医疗数据分析健康数据分析.
生殖健康研究生殖健康研究

背景情况:

加拿大安大略省使用两个主要的围产期数据来源:更好的结果注册网 (BORN) 更好的信息系统 (BIS) 和加拿大卫生信息信息解禁摘要数据库 (CIHI-DAD). 这些数据库对于围产期健康监测,研究和为医疗保健决策提供信息至关重要.
了解这些重要数据源之间的一致性和差异对于准确的人口健康监测和基于证据的医疗保健政策至关重要.

研究的目的:

评估BORN BIS和CIHI-DAD围产期数据库之间的协议水平.
使用每个数据源来确定定义低风险出生 (LRB) 队列的差异.
了解这些差异对临床结果和数据解释的影响.

主要方法:

进行了一项基于人口的队列研究,将2012年4月1日至2018年3月31日在BORN BIS和CIHI-DAD中记录的出生情况联系起来.
排除在外的情况包括出院分娩,残疾人健康号码,非安大略省居民和妊娠年龄在20周以下.
该研究比较了每个数据库识别的队列之间的低风险分娩和临床结果 (剖腹产,NICU/ICU入院) 的患病率.

主要成果:

在两个数据库之间可以链接超过779,000例出生;在应用LRB排除后,在BORN BIS中确定了129,908例,在CIHI-DAD中确定了136,184例.
对于大多数排除标准,观察到很高的一致性.
在已识别的LRB队列之间,在剖腹产 (14.3%BORN BIS vs. 12.0%CIHI-DAD) 和NICU入院 (8.7%BORN BIS vs. 7.5%CIHI-DAD) 的患病率上发现了差异.

结论:

对于围产期数据,BORN BIS和CIHI-DAD之间存在很高的总体协议.
任何数据库都可以用于识别低风险出生队列,前提是用户了解数据收集,编码和结果定义的细微差别.
数据库的选择可能取决于对特定研究分析至关重要的特定变量.

关键词:

行政数据行政数据出生登记簿出生登记簿出生登记簿队列研究是一项队列研究.数据的准确性数据的准确性我们的数据库数据库数据库数据库.链接链接链接低风险的出生是低风险的周产阶段周产阶段人口数据,人口数据.

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