Public Preferences and Willingness to Pay for a Multidisciplinary Colorectal and Pelvic Reconstruction Service

Tianxin Pan1,2, Misel Trajanoversuska2,3,4, Yan Meng1

  • 1Economics of Genomics and Precision Medicine Unit, Centre for Health Policy, Melbourne School of Population and Global Health, The University of Melbourne, Melbourne, VIC, Australia.

The Patient
|December 2, 2025
PubMed

Insights

The Australian public strongly supports multidisciplinary care for children with colorectal conditions, valuing long-term access and care coordination. They are willing to pay significantly for this comprehensive approach.

Area of Science:

  • Health Services Research
  • Public Health
  • Pediatric Care

Background:

  • Multidisciplinary care is crucial for children with congenital colorectal conditions.
  • Evidence on the value of such models is limited.
  • This study investigates public preferences for a multidisciplinary care model.

Purpose of the Study:

  • To determine public preferences for a multidisciplinary care model for pediatric congenital colorectal conditions.
  • To assess public willingness to pay for specific components of this care model.

Main Methods:

  • A discrete choice experiment (DCE) was conducted with 807 Australian adults.
  • The DCE included attributes such as team composition, care coordination, access duration, information provision, and cost.
  • Panel error component mixed logit models were used for data analysis.

Main Results:

  • The public prefers multidisciplinary care, emphasizing long-term access, care coordination, and information provision.
  • Willingness to pay for an optimal model was estimated at AU$64,275.
  • Preferences varied based on gender, parenthood status, and income.

Conclusions:

  • The Australian public highly values multidisciplinary care for children with complex colorectal conditions.
  • Findings can inform the design and cost-benefit analysis of healthcare implementation.
  • This research highlights the public's support for integrated pediatric care models.
Abstract