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A Comparison of Administrative Data Versus Surveillance Data for Hospital-Associated Methicillin-Resistant Staphylococcus aureus Infections in Canadian Hospitals

Published online by Cambridge University Press:  20 December 2016

Jessica Y. Ramirez Mendoza
Affiliation:
Canadian Institute of Health Information, Toronto, Ontario, Canada
Nick Daneman
Affiliation:
Division of Infectious Diseases, Sunnybrook Health Sciences Centre, Toronto, Ontario, Canada Institute of Clinical Evaluative Sciences, Toronto, Ontario, Canada
Mary N. Elias
Affiliation:
Canadian Institute of Health Information, Toronto, Ontario, Canada
Joseph E. Amuah
Affiliation:
Canadian Institute of Health Information, Toronto, Ontario, Canada
Kathryn Bush
Affiliation:
Alberta Health Services Infection Prevention and Control, Calgary, Canada
Chantal M. Couris*
Affiliation:
Canadian Institute of Health Information, Toronto, Ontario, Canada
Kira Leeb
Affiliation:
Canadian Institute of Health Information, Toronto, Ontario, Canada
*
Address correspondence to Chantal Couris, Canadian Institute for Health Information, 4110 Yonge Street Suite 300, Toronto, Ontario, M2P 2B7 (CCouris@cihi.ca).

Abstract

BACKGROUND

In Canadian hospitals, clinical information is coded according to national coding standards and is routinely collected as administrative data. Administrative data may complement active surveillance programs by providing in-hospital MRSA infection data in a standardized and efficient manner, but only if infections are accurately captured.

OBJECTIVE

To assess the accuracy of administrative data regarding in-hospital bloodstream infections (BSIs) and all-body-site infections due to MRSA.

METHODS

A retrospective study of all (adult and pediatric) in-hospital MRSA infections was conducted by comparing administrative data against surveillance data from 217 acute Canadian hospitals (124 in Ontario, 93 in Alberta) over a 12-month period. Hospital-associated MRSA BSI cases in Ontario, and for all-body-site MRSA infections in Alberta were identified. Pearson correlation coefficients were used to compare the number of hospital-level MRSA cases within administrative versus surveillance datasets. The correlation of all-body-site MRSA infections versus MRSA BSIs was also assessed using the Ontario administrative data.

RESULTS

Strong correlations between hospital-level MRSA cases in administrative and surveillance datasets were identified for Ontario (r=0.79; 95% CI, 0.72–0.85) and Alberta (r=0.92; 95% CI, 0.88–0.94). A strong correlation between all-body-site and bloodstream-only MRSA infection rates was identified across Ontario hospitals (r=0.95; P<.0001; 95% CI, 0.93–0.96).

CONCLUSIONS

This study provides good evidence of the comparability of administrative and surveillance datasets in identifying in-hospital MRSA infections. With standard definitions, administrative data can provide estimates of in-hospital infections for monitoring and/or comparisons across hospitals.

Infect Control Hosp Epidemiol 2017;38:436–443

Type
Original Articles
Copyright
© 2016 by The Society for Healthcare Epidemiology of America. All rights reserved 

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