Resource Intensity Weights and Canadian hospital costs: some preliminary data.
Different types of inpatients "consume" differing amounts of hospital resources, and it is important to be able to measure these differences in resource consumption. An equitable methodology for funding hospitals must take into account differences in case mix between facilities. An ability to examine these differences in case mix and resource utilization allows hospitals to focus efforts to improve efficiency. A standardized methodology for measuring resource consumption is critical to funding and resource allocation both at a global and organizational level. This study was undertaken to determine whether or not the Canadian system for measuring resource consumption, Canadian Institute for Health Information (CIHI) RIWs, was reflective of the relative cost differences between inpatient cases at the Greater Victoria Hospital Society (GVHS) and to identify RIWs with a significant difference in comparison to GVHS cost weights. A regression analysis was performed on the more than 30,000 inpatient cost profile records from the GVHS 1995-96 cost and patient activity data. The scope of the analysis was restricted to the 424 Case Mix Groups (CMGs) that had a minimum composition of five patient profiles. Comparisons of GVHS cost weights to CIHI RIWs yielded mostly positive results. With the noted exception of about 20 CMGs, there was a high correlation between the CIHI RIW and the GVHS actual cost weights. Hence, the GVHS cost weights can be viewed with confidence as representative of the relative cost differences between typical RIW value CMGs and actual costs.
Poole
B
B
Robinson
S
S
MacKinnon
M
M
D001955:British Columbia; D002391:Catchment Area, Health; D003361:Cost Allocation; D003625:Data Collection; D003953:Diagnosis-Related Groups / Q000145:classification / Q000191:economics*; D006295:Health Resources / Q000145:classification* / Q000191:economics / Q000706:statistics & numerical data; D017721:Hospital Costs / Q000706:statistics & numerical data*; D006760:Hospitalization / Q000191:economics*; D016311:Outliers, DRG; D014481:United States; D014600:Utilization Review