PLoS ONE
Volume 13, Issue 11, 2018
Accuracy of health administrative data to identify cases of reportable travel or migration-related infectious diseases in Ontario, Canada (Article) (Open Access)
Savage R.D. ,
Rosella L.C. ,
Crowcroft N.S. ,
Horn M. ,
Khan K. ,
Varia M.
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a
Women's College Research Institute, Women's College Hospital, Toronto, ON, Canada
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b
Dalla Lana School of Public Health, University of Toronto, Toronto, ON, Canada, ICES, Toronto, ON, Canada, Public Health Ontario, Toronto, ON, Canada
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c
Dalla Lana School of Public Health, University of Toronto, Toronto, ON, Canada, Public Health Ontario, Toronto, ON, Canada, Department of Laboratory Medicine and Pathobiology, University of Toronto, Toronto, ON, Canada
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d
Peel Public Health, Mississauga, ON, Canada
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e
Li Ka Shing Knowledge Institute, St. Michael's Hospital, Toronto, ON, Canada, Department of Medicine, Division of Infectious Diseases, University of Toronto, Toronto, ON, Canada
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f
Peel Public Health, Mississauga, ON, Canada
Abstract
An ongoing challenge of estimating the burden of infectious diseases known to disproportionately affect migrants (e.g. malaria, enteric fever) is that many health information systems, including reportable disease surveillance systems, do not systematically collect data on migrant status and related factors. We explored whether health administrative data linked to immigration records offered a viable alternative for accurately identifying cases of hepatitis A, malaria and enteric fever in Ontario, Canada. Using linked health care databases generated by Ontario's universal health care program, we constructed a cohort of medicallyattended individuals with presumed hepatitis A, malaria or enteric fever in Peel region using diagnostic codes. Immigrant status was ascertained using linked immigration data. The sensitivity and positive predictive value (PPV) of diagnostic codes was evaluated through probabilistic linkage of the cohort to Ontario's reportable disease surveillance system (iPHIS) as the reference standard. Linkage was successful in 90.0% (289/321) of iPHIS cases. While sensitivity was high for hepatitis A and enteric fever (85.8% and 83.7%) and moderate for malaria (69.0%), PPV was poor for all diseases (0.3-41.3%). The accuracy of diagnostic codes did not vary by immigrant status. A dated coding system for outpatient physician claims and exclusion of new immigrants not yet eligible for health care were key challenges to using health administrative data to identify cases. Despite this, we show that linkages of health administrative and immigration records with reportable disease surveillance data are feasible and have the potential to bridge important gaps in estimating burden using either data source independently. © 2018 Savage et al. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
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Link
https://www.scopus.com/inward/record.uri?eid=2-s2.0-85056406766&doi=10.1371%2fjournal.pone.0207030&partnerID=40&md5=cee8de12ea546f75b40c5369bd198dbc
DOI: 10.1371/journal.pone.0207030
ISSN: 19326203
Original Language: English