PDF(Pubmed)
Abstract：
BACKGROUND: Population-level administrative data provides a cost-effective means of monitoring health outcomes and service needs of clinical populations. This study aimed to present a method for case identification of non-traumatic brain injury in population-level data and to examine the association with sociodemographic factors.
METHODS: An estimated resident population of youth aged 0-24 years was constructed using population-level datasets within the New Zealand Integrated Data Infrastructure. A clinical consensus committee reviewed the International Classification of Diseases Ninth and Tenth Editions codes and Read codes for inclusion in a case definition. Cases were those with at least one non-traumatic brain injury code present in the five years up until 30 June 2018 in one of four databases in the Integrated Data Infrastructure. Rates of non-traumatic brain injury were examined, both including and excluding birth injury codes and across age, sex, ethnicity, and socioeconomic deprivation groups.
RESULTS: Of the 1 579 089 youth aged 0-24 years on 30 June 2018, 8154 (0.52%) were identified as having one of the brain injury codes in the five-years to 30 June 2018. Rates of non-traumatic brain injury were higher in males, children aged 0-4 years, Māori and Pacific young people, and youth living with high levels of social deprivation.
CONCLUSIONS: This study presents a comprehensive method for case identification of non-traumatic brain injury using national population-level administrative data.
METHODS: An estimated resident population of youth aged 0-24 years was constructed using population-level datasets within the New Zealand Integrated Data Infrastructure. A clinical consensus committee reviewed the International Classification of Diseases Ninth and Tenth Editions codes and Read codes for inclusion in a case definition. Cases were those with at least one non-traumatic brain injury code present in the five years up until 30 June 2018 in one of four databases in the Integrated Data Infrastructure. Rates of non-traumatic brain injury were examined, both including and excluding birth injury codes and across age, sex, ethnicity, and socioeconomic deprivation groups.
RESULTS: Of the 1 579 089 youth aged 0-24 years on 30 June 2018, 8154 (0.52%) were identified as having one of the brain injury codes in the five-years to 30 June 2018. Rates of non-traumatic brain injury were higher in males, children aged 0-4 years, Māori and Pacific young people, and youth living with high levels of social deprivation.
CONCLUSIONS: This study presents a comprehensive method for case identification of non-traumatic brain injury using national population-level administrative data.
摘要：
背景：人口级管理数据提供了一种具有成本效益的手段来监测临床人群的健康结果和服务需求。这项研究旨在提供一种在人群水平数据中识别非创伤性脑损伤的方法，并检查与社会人口统计学因素的关联。
方法：使用新西兰综合数据基础设施中的人口水平数据集构建了0-24岁青年的估计常住人口。临床共识委员会审查了国际疾病分类第九和第十版代码和阅读代码，以纳入病例定义。病例是在截至2018年6月30日的五年内，在综合数据基础设施的四个数据库之一中存在至少一个非创伤性脑损伤代码的病例。检查了非创伤性脑损伤的发生率，包括和不包括出生伤害代码和跨年龄，性别,种族,和社会经济贫困群体。
结果：在2018年6月30日的1579089名0-24岁青年中，8154人（0.52％）被确定为在截至2018年6月30日的五年中具有脑损伤代码之一。男性非创伤性脑损伤发生率较高，0-4岁儿童,毛利人和太平洋年轻人，和生活在高度社会贫困中的年轻人。
结论：本研究提供了一种利用国家人口级行政数据识别非创伤性脑损伤病例的综合方法。
方法：使用新西兰综合数据基础设施中的人口水平数据集构建了0-24岁青年的估计常住人口。临床共识委员会审查了国际疾病分类第九和第十版代码和阅读代码，以纳入病例定义。病例是在截至2018年6月30日的五年内，在综合数据基础设施的四个数据库之一中存在至少一个非创伤性脑损伤代码的病例。检查了非创伤性脑损伤的发生率，包括和不包括出生伤害代码和跨年龄，性别,种族,和社会经济贫困群体。
结果：在2018年6月30日的1579089名0-24岁青年中，8154人（0.52％）被确定为在截至2018年6月30日的五年中具有脑损伤代码之一。男性非创伤性脑损伤发生率较高，0-4岁儿童,毛利人和太平洋年轻人，和生活在高度社会贫困中的年轻人。
结论：本研究提供了一种利用国家人口级行政数据识别非创伤性脑损伤病例的综合方法。
