The accuracy of administrative data for identifying the presence and timing of admission to intensive care units in a Canadian province

Med Care. 2012 Mar;50(3):e1-6. doi: 10.1097/MLR.0b013e318245a754.


Background: A prerequisite for using administrative data to study the care of critically ill patients in intensive care units (ICUs) is that it accurately identifies such care. Only limited data exist on this subject.

Objective: To assess the accuracy of administrative data in the Canadian province of Manitoba for identifying the existence, number, and timing of admissions to adult ICUs.

Research design: For the period 1999 to 2008, we compared information about ICU care from Manitoba hospital abstracts, with the criterion standard of a clinical ICU database that includes all admissions to adult ICUs in its largest city of Winnipeg. Comparisons were made before and after a national change in administrative data requirements that mandated specific data elements identifying the existence and timing of ICU care.

Results: In both time intervals, hospital abstracts were extremely accurate in identifying the presence of ICU care, with positive predictive values exceeding 98% and negative predictive values exceeding 99%. Administrative data correctly identified the number of separate ICU admissions for 93% of ICU-containing hospitalizations; inaccuracy increased with more ICU stays per hospitalization. Hospital abstracts were highly accurate for identifying the timing of ICU care, but only for hospitalizations containing a single ICU admission.

Conclusions: Under current national-reporting requirements, hospital administrative data in Canada can be used to accurately identify and quantify ICU care. The high accuracy of Manitoba administrative data under the previous reporting standards, which lacked standardized coding elements specific to ICU care, may not be generalizable to other Canadian jurisdictions.

Publication types

  • Research Support, Non-U.S. Gov't

MeSH terms

  • Critical Care / organization & administration
  • Critical Care / statistics & numerical data
  • Databases, Factual / standards
  • Hospital Information Systems / organization & administration
  • Hospital Information Systems / standards
  • Hospitalization / statistics & numerical data
  • Humans
  • Intensive Care Units / organization & administration
  • Intensive Care Units / statistics & numerical data*
  • Length of Stay / statistics & numerical data
  • Manitoba
  • Patient Admission / statistics & numerical data*
  • Patient Discharge / statistics & numerical data
  • Time Factors