Meghan O'Neill1, Kathy Kornas1, Walter P Wodchis2, Laura C Rosella3. 1. Research Officer, Dalla Lana School of Public Health, University of Toronto, Toronto, ON. 2. Principal Investigator, Dalla Lana School of Public Health, University of Toronto, Institute for Better Health; Professor, Trillium Health Partners, Toronto, ON. 3. Associate Professor, Dalla Lana School of Public Health, University of Toronto, Institute for Better Health, Trillium Health Partners, Toronto, ON.
Abstract
BACKGROUND: Healthcare spending is concentrated, with a minority of the population accounting for the majority of healthcare costs. METHODS: The authors modelled the impact of high resource user (HRU) prevention strategies within five years using the validated High Resource User Population Risk Tool. RESULTS: The authors estimated 758,000 new HRUs in Ontario from 2013-2014 to 2018-2019, resulting in $16.20 billion in healthcare costs (Canadian dollars 2016). The prevention approach that had the largest reduction in HRUs was targeting health-risk behaviours. CONCLUSIONS: This study demonstrates the use of a policy tool by decision makers to support prevention approaches that consider the impact on HRUs and estimated healthcare costs.
BACKGROUND: Healthcare spending is concentrated, with a minority of the population accounting for the majority of healthcare costs. METHODS: The authors modelled the impact of high resource user (HRU) prevention strategies within five years using the validated High Resource User Population Risk Tool. RESULTS: The authors estimated 758,000 new HRUs in Ontario from 2013-2014 to 2018-2019, resulting in $16.20 billion in healthcare costs (Canadian dollars 2016). The prevention approach that had the largest reduction in HRUs was targeting health-risk behaviours. CONCLUSIONS: This study demonstrates the use of a policy tool by decision makers to support prevention approaches that consider the impact on HRUs and estimated healthcare costs.
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