Can patient-reported data improve predictions about who will be a high-need, high-cost patient in British Columbia?

Journal: Quality of life research : an international journal of quality of life aspects of treatment, care and rehabilitation
Published Date: Jul 9, 2025

Abstract

PURPOSE: Improving the outcomes for high-need, high-cost (HNHC) patients requires accurately predicting who will become an HNHC patient. The objectives of this study are to: (1) develop models to predict individuals at risk of becoming future HNHC patients, and (2) compare the performance of predictive models with and without patient-reported data.

Authors

  • Logan Trenaman
    Department of Health Systems and Population Health, School of Public Health, University of Washington, 3980 15th Ave NE, Fourth Floor, Box 351621, Seattle, WA, 98195, USA. trenaman@uw.edu.
  • Daphne Guh
    Centre for Advancing Health Outcomes, St. Paul's Hospital, Vancouver, BC, Canada.
  • Stirling Bryan
    School of Population and Public Health, University of British Columbia, Vancouver, BC, Canada.
  • Kimberlyn McGrail
    School of Population and Public Health, University of British Columbia, Vancouver, BC, Canada.
  • Mohammad Ehsanul Karim
  • Rick Sawatzky
    Centre for Advancing Health Outcomes, St. Paul's Hospital, Vancouver, BC, Canada.
  • Maggie Yu
    Centre for Advancing Health Outcomes, St. Paul's Hospital, Vancouver, BC, Canada.
  • Marilyn Parker
    Patient Partner, Kelowna, BC, Canada.
  • Kathleen Wheeler
    Patient Partner, Kelowna, BC, Canada.
  • Mark Harrison
    Emergency Department, Northumbria Specialist Emergency Care Hospital, Cramlington, UK.

Keywords

No keywords available for this article.

External Resources

Popular Topics
Recent Journals