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.
BACKGROUND: A prerequisite for using administrative data to study the care of critically illpatients 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.
Authors: Andrea Hill; Clare Ramsey; Peter Dodek; Jean Kozek; Randy Fransoo; Robert Fowler; Malcolm Doupe; Hubert Wong; Damon Scales; Allan Garland Journal: Health Serv Res Date: 2019-11-10 Impact factor: 3.402
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Authors: Ruth Ann Marrie; Charles N Bernstein; Christine A Peschken; Carol A Hitchon; Hui Chen; Randy Fransoo; Allan Garland Journal: Neurology Date: 2014-05-07 Impact factor: 9.910
Authors: Alka B Patel; Hude Quan; Robert C Welsh; Jessica Deckert-Sookram; Wayne Tymchak; Sunil Sookram; Ian Surdhar; Padma Kaul Journal: CMAJ Open Date: 2015-10-02
Authors: Linea Blichert-Hansen; Malene S Nielsson; Rikke B Nielsen; Christian F Christiansen; Mette Nørgaard Journal: Clin Epidemiol Date: 2013-01-11 Impact factor: 4.790