Evidence map›Paper›PMID 27769227›Full record

ArticleBMC medical informatics and decision making2016

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

Maria Chiu, Michael Lebenbaum, Kelvin Lam, Nelson Chong, Mahmoud Azimaee, Karey Iron, Doug Manuel, Astrid Guttmann

Abstract read
In one paragraph

Article in BMC medical informatics and decision making, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 131 papers.

0numbers the graph read from it
0cells of the map it votes in
131citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

131 citing papers in PubMed.

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  11. Effect of single-entry referral models and team-based care on wait times for hip and knee joint replacement in Ontario: a simulation study.CMAJ : Canadian Medical Association journal = journal de l'Association medicale canadienne · 2025
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71 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

8 authors.

Maria ChiuInstitute for Clinical Evaluative Sciences, G-106, 2075 Bayview Avenue, Toronto, ON, M4N 3M5, Canada.
Michael LebenbaumInstitute for Clinical Evaluative Sciences, G-106, 2075 Bayview Avenue, Toronto, ON, M4N 3M5, Canada.
Kelvin LamCanadian Institute For Health Information, 4110 Yonge Street, Suite 300, Toronto, ON, M2P 2B7, Canada.
Nelson ChongInstitute for Clinical Evaluative Sciences, G-106, 2075 Bayview Avenue, Toronto, ON, M4N 3M5, Canada.
Mahmoud AzimaeeInstitute for Clinical Evaluative Sciences, G-106, 2075 Bayview Avenue, Toronto, ON, M4N 3M5, Canada.
Karey IronCollege of Physicians & Surgeons of Ontario, 80 College Street, Toronto, ON, M5G 2E2, Canada.
Doug ManuelOttawa Hospital Research Institute, 725 Parkdale Ave, Ottawa, ON, K1Y 4E9, Canada.
Astrid GuttmannInstitute for Clinical Evaluative Sciences, G-106, 2075 Bayview Avenue, Toronto, ON, M4N 3M5, Canada. astrid.guttmann@ices.on.ca.

Funding

CIHR
6 · The paper itself

Abstract

backgroundOntario, 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.

methodsWe 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.

resultsThe 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 %).

conclusionsThe 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.

Indexed as

Cause of DeathMedical Record LinkageCanadaDatabases, FactualEmigrants and ImmigrantsHumansOntarioRefugeesRegistriesHealth Administrative DataImmigrant and refugee dataRecord linkageVital statistics death data

Identifiers

PMID27769227
PMCPMC5073414

What OpenQuestion holds

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LicenceCC BY
Read underepoch 390

Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.