Estimating Population Benefits of Prevention Approaches Using a Risk Tool: High Resource Users in Ontario, Canada.

Healthc Policy

Associate Professor, Dalla Lana School of Public Health, University of Toronto, Institute for Better Health, Trillium Health Partners, Toronto, ON.

Published: February 2021

AI Article Synopsis

  • Healthcare spending is heavily skewed, with a small portion of the population responsible for most costs.
  • The study used a specific risk assessment tool to predict the impact of prevention strategies on high resource users (HRUs) over a five-year period, estimating a significant number of new HRUs and associated costs in Ontario.
  • Focusing on reducing health-risk behaviors was found to be the most effective prevention strategy, highlighting the importance of targeted approaches in healthcare policy decision-making.

Article 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.

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Source
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC7957354PMC
http://dx.doi.org/10.12927/hcpol.2021.26433DOI Listing

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