Describing the linkages of the immigration, refugees and citizenship Canada permanent resident data and vital statistics death registry to Ontario's administrative health database

Describing the linkages of the immigration, refugees and citizenship Canada permanent resident data and vital statistics death registry to Ontario's administrative health database
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DOI:
10.1186/s12911-016-0375-3
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发表时间:
2016-10-21
影响因子:
3.5
通讯作者:
Guttmann, Astrid
Guttmann, Astrid
中科院分区:
医学3区
文献类型:
--
作者:
Chiu, Maria;Lebenbaum, Michael;Guttmann, Astrid

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背景:加拿大人口最多的安大略省有一个全民医疗系统,该系统定期收集1300万合法居民的健康管理数据,用于健康研究。通过使用加拿大永久居民移民、难民和公民身份数据库和书记官长重要统计数据-死亡登记册丰富这一数据,记录联系已成为这项研究的重要工具。方法:我们使用确定性和概率链接的方法将IRCC-PR数据库(1985-2012)和ORG-VSD注册数据库(1990-2012)链接到安大略省的注册人员数据库。结果:IRCC-PR数据库和ORG-VSD注册表的总链接率分别为86.4%和96.2%。IRCC-PR中大多数(68.2%)的记录关联是在三次确定性传递后实现的,18.2%是概率关联的,13.6%是非关联的。同样,ORG-VSD中大多数(79.8%)的记录链接是使用确定性记录链接,16.3%是在概率和人工审查后链接,3.9%是未链接。未链接和链接的文件在大多数特征上是相似的,例如IRCC-PR的年龄和婚姻状况,以及ORG-VSD的性别和大多数死因。然而,在IRCC-PR数据库中,出生在东亚的人(78%)和在ORG-VSD登记中的某些死亡原因,即围产期疾病(61.3%)和先天异常(81.3%)中观察到较低的关联率。结论:移民和生命统计数据与加拿大安大略省现有的基于人口的医疗保健数据的联系将使许多新的横断面和纵向研究得以进行。在对某些种族群体或儿童和婴儿的某些死因进行研究时,可能需要使用分析技术来解释次优的连锁率。
Background: Ontario, the most populous province in Canada, has a universal healthcare system that routinely collects health administrative data on its 13 million legal residents that is used for health research. Record linkage has become a vital tool for this research by enriching this data with the Immigration, Refugees and Citizenship Canada Permanent Resident (IRCC-PR) database and the Office of the Registrar General's Vital Statistics-Death (ORG-VSD) registry. Our objectives were to estimate linkage rates and compare characteristics of individuals in the linked versus unlinked files.Methods: We used both deterministic and probabilistic linkage methods to link the IRCC-PR database (1985-2012) and ORG-VSD registry (1990-2012) to the Ontario's Registered Persons Database. Linkage rates were estimated and standardized differences were used to assess differences in socio-demographic and other characteristics between the linked and unlinked records.Results: The overall linkage rates for the IRCC-PR database and ORG-VSD registry were 86.4 and 96.2 %, respectively. The majority (68.2 %) of the record linkages in IRCC-PR were achieved after three deterministic passes, 18.2 % were linked probabilistically, and 13.6 % were unlinked. Similarly the majority (79.8 %) of the record linkages in the ORG-VSD were linked using deterministic record linkage, 16.3 % were linked after probabilistic and manual review, and 3. 9 % were unlinked. Unlinked and linked files were similar for most characteristics, such as age and marital status for IRCC-PR and sex and most causes of death for ORG-VSD. However, lower linkage rates were observed among people born in East Asia (78 %) in the IRCC-PR database and certain causes of death in the ORG-VSD registry, namely perinatal conditions (61.3 %) and congenital anomalies (81.3 %).Conclusions: The linkages of immigration and vital statistics data to existing population-based healthcare data in Ontario, Canada will enable many novel cross-sectional and longitudinal studies to be conducted. Analytic techniques to account for sub-optimal linkage rates may be required in studies of certain ethnic groups or certain causes of death among children and infants.