| Autor: |
Ramirez Mendoza JY; 1Canadian Institute of Health Information,Toronto,Ontario,Canada., Daneman N; 2Division of Infectious Diseases,Sunnybrook Health Sciences Centre,Toronto,Ontario,Canada., Elias MN; 1Canadian Institute of Health Information,Toronto,Ontario,Canada., Amuah JE; 1Canadian Institute of Health Information,Toronto,Ontario,Canada., Bush K; 4Alberta Health Services Infection Prevention and Control,Calgary,Canada., Couris CM; 1Canadian Institute of Health Information,Toronto,Ontario,Canada., Leeb K; 1Canadian Institute of Health Information,Toronto,Ontario,Canada. |
| Abstrakt: |
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. |
