Analysis of health care costs among high-cost patients using finite mixture models

Wednesday 13 December 2017, 2.00PM to 3.15pm

Speaker(s): Claire de Oliveira, Institute for Mental Health Policy Research, Toronto, Canada

Abstract: A small group of health care users, termed high-cost patients, accounts for a disproportionately large share of health care costs. In recent years, there has been increasing interest in these patients by policy makers, in particular around how best to reduce costs while simultaneously improving patients’ health and care experiences, known as the “triple aim”. However, little is known about the composition of this population. To optimize investments in this area, a better understanding of the high-cost population is required, namely whether there are any patient sub-groups; this information may help inform the design of appropriate interventions.  

In this seminar, I will cover the existing literature on this topic; describe the data and the econometrics methods employed to ascertain the number of patient groups within the high-cost population, and present the results of this analysis.

Location: Alcuin A Block A019/20

Who to contact

For more information on these seminars, contact:

Maria Jose Aragon
Jessica Ochalek

CHE Seminar Programme

  • Thursday 13 September
    Rachel Elliott, University of Manchester
  • Thursday 4 October
    Josh Carlson, University of Washington 
  • Thursday 8 November 
    Carol Propper, Imperial College London
  • Thursday 6 December
    Joanna Coast, University of Bristol