Related Experiment Video
Updated: Apr 5, 2026
07:47
Measuring Delay Discounting in Humans Using an Adjusting Amount Task
Published on: January 9, 2016
16.1K
Measuring Preferences for a Diabetes Pay-for-Performance for Patient (P4P4P) Program using a Discrete Choice
Tsung-Tai Chen1, Tao-Hsin Tung2, Ya-Seng Arthur Hsueh3
1Department of Public Health, College of Medicine, Fu Jen Catholic University, New Taipei City, Taiwan.
Summary
A modest monthly cash incentive of approximately $67 can significantly increase patient participation in diabetes pay-for-performance programs. This financial incentive helps offset the demands of program activities, especially for patients with greater health challenges.
Area of Science:
- Health Economics
- Diabetes Management
- Behavioral Economics
Background:
- Pay-for-performance for patient (P4P4P) programs aim to improve diabetes care outcomes.
- Understanding patient willingness to participate is crucial for program success.
- Discrete choice experiments are effective in eliciting preferences for healthcare interventions.
Purpose of the Study:
- To determine patient willingness to join a diabetes P4P4P program.
- To identify key program attributes influencing participation.
- To quantify the impact of financial incentives on participation likelihood.
Main Methods:
- A discrete choice experiment survey was administered to 838 diabetes patients in Taiwan.
- Key attributes included monthly cash rewards, exercise time, diet control, and program duration.
- A bivariate probit model analyzed willingness-to-accept levels, controlling for patient characteristics.
Main Results:
- The preferred program involved a 3-year duration with 30 minutes of daily exercise and flexible diet control.
- A monthly incentive of approximately $67 increased participation likelihood by about 50%.
- Patients with higher comorbidity or severity require greater incentives.
Conclusions:
- Financial incentives are effective in boosting participation in diabetes P4P4P programs.
- Personalized incentives may be needed for patients with greater health burdens.
- Program design should consider patient preferences and socioeconomic factors for optimal engagement.
