A Comparison of Administrative Data Versus Surveillance Data for Hospital-Associated Methicillin-Resistant

Jessica Y Ramirez Mendoza1, Nick Daneman2, Mary N Elias1

  • 11Canadian Institute of Health Information,Toronto,Ontario,Canada.

Insights

Canadian hospital administrative data accurately captures Methicillin-resistant Staphylococcus aureus (MRSA) infections, correlating strongly with surveillance data. This validates administrative data for monitoring MRSA infections across hospitals.

Area of Science:

  • Infectious Disease Epidemiology
  • Health Informatics
  • Public Health Surveillance

Background:

  • Canadian hospitals utilize national standards for coding clinical information into administrative data.
  • Administrative data offers a standardized and efficient method for collecting in-hospital infection data.
  • Accurate capture of infections within administrative data is crucial for its utility in surveillance.

Purpose of the Study:

  • To evaluate the accuracy of administrative data in capturing in-hospital Methicillin-resistant Staphylococcus aureus (MRSA) infections.
  • To compare administrative data with surveillance data for MRSA bloodstream infections (BSIs) and all-body-site infections.

Main Methods:

  • A retrospective study compared administrative and surveillance data for MRSA infections in 217 Canadian acute care hospitals over 12 months.
  • Analyzed hospital-associated MRSA BSI cases in Ontario and all-body-site MRSA infections in Alberta.
  • Used Pearson correlation coefficients to compare MRSA case counts between datasets and assess the correlation between all-body-site and BSIs.

Main Results:

  • Strong correlations were found between hospital-level MRSA cases in administrative and surveillance datasets for both Ontario (r=0.79) and Alberta (r=0.92).
  • A high correlation (r=0.95) was observed between all-body-site MRSA infections and MRSA BSIs in Ontario hospitals.
  • These findings indicate significant comparability between the two data sources.

Conclusions:

  • Administrative and surveillance datasets demonstrate strong comparability in identifying in-hospital MRSA infections.
  • Standardized definitions enable administrative data to reliably estimate in-hospital infections for monitoring and inter-hospital comparisons.
  • This supports the use of administrative data as a valuable tool in infection control and surveillance efforts.