Determinants of Economic Costs Following Road Traffic Injuries in Canada: A Quantile Regression Forests Machine Learning Approach
High-cost patients were more likely to be older, retired, less educated, and have worse clinical and psychological indicators. These insights can guide targeted prevention and resource allocation strategies to reduce the economic burden of RT injuries.
Authors
- John A. Staples (ORCID: https://orcid.org/0000-0003-1397-1503)
- John Taylor (ORCID: https://orcid.org/0000-0002-1044-5439)
- Somayeh Momenyan (ORCID: https://orcid.org/0000-0001-6708-6070)
- Jeffrey R. Brubacher (ORCID: https://orcid.org/0000-0002-4866-4231)
- Devin Harris (ORCID: https://orcid.org/0000-0002-7550-8648)
- Lina Jae
- Herbert Chan (ORCID: https://orcid.org/0000-0003-0051-2076)
Institutions
- University of British Columbia (CA)
- Centre for Advancing Health Outcomes (CA)
Publication Details
- Journal
- ClinicoEconomics and Outcomes Research
- Published
- 2025-09-01
- DOI
- https://doi.org/10.2147/ceor.s533069
- Primary Topic
- Traffic and Road Safety
- Type
- article
- Field-Weighted Citation Impact
- 0.00
Funders
- Canadian Institutes of Health Research