April 1, 2014
Release of HIG Weights/ELOS 2014 + Ontario Client Tables
The Canadian Institute for Health Information (CIHI) is supporting the effective deployment and use of the Ontario Ministry of Health and Long-Term Care’s new Health Based Allocation Model (HBAM) funding methodology under the Health System Funding Strategy. This support includes maintenance and reporting, as well as education surrounding the HBAM Inpatient Grouping (HIG) methodology.
CIHI is pleased to announce that the following resources are now available on our website (www.cihi.ca).
1. Assigning HIG Weights and ELOS Values to Ontario Inpatient DAD Cases 2014
This document provides an overview of the process used to calculate expected length of stay (ELOS) and HIG weights with the HIG 2014 grouping methodology. It also includes look-up tables that provide the base HIG weight and ELOS values for each HIG. In addition, HIG factor values are provided. There are also examples to help users understand how HIG weights are assigned to DAD cases.
2. HIG/Ontario CACS 2014 Client Tables
New for 2014 the HIG and Ontario CACS client tables are available for download in tab delimited ASCII format.
For questions about CACS/HIG weights and ELOS values, or the weight and ELOS documentation, please access CIHI’s eQuery service. This service enables clients to submit queries on a broad range of programs and products, including DAD, Classifications and Case Mix. Please submit your query at www.cihi.ca/equery.
Distribution: Ontario Ministry of Health and Ontario DAD Hospitals
Download the bulletin (PDF, 188 Kb)
Established in 1994, CIHI is an independent, not-for-profit corporation that provides essential information on Canada’s health system and the health of Canadians. Funded by federal, provincial and territorial governments, CIHI is guided by a Board of Directors made up of health leaders across the country. Our vision is to improve Canada’s health system and the well-being of Canadians by being a leading source of unbiased, credible and comparable information that will enable health leaders to make better-informed decisions.