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

摘要

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.