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Related Experiment Video

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Setting Up a Stroke Team Algorithm and Conducting Simulation-based Training in the Emergency Department - A Practical Guide
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Doctor decision making with time inconsistent patients.

Alastair Irvine1, Marjon van der Pol1, Euan Phimister2

  • 1Health Economics Research Unit, University of Aberdeen, Polwarth Building, Foresterhill, Aberdeen, AB25 2ZD, UK.

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|August 4, 2022
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Summary

Doctors can improve patient adherence by understanding present-bias. A study shows doctors adapt treatment choices when informed about patient present-bias, though some fail to optimize. This highlights the value of patient adherence data.

Keywords:
AdherenceLab experimentPhysician decision makingPresent bias

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Area of Science:

  • Behavioral Economics
  • Medical Decision Making
  • Health Psychology

Background:

  • Patient non-adherence to medical treatments is a widespread issue.
  • Present-bias, a form of hyperbolic discounting, significantly contributes to patient non-adherence.
  • Understanding and modeling doctor's adaptive strategies for present-biased patients is crucial for improving treatment outcomes.

Purpose of the Study:

  • To develop a model predicting how doctors should adjust treatment decisions in response to patient present-bias.
  • To experimentally test the model's predictions in a controlled lab setting.
  • To investigate the impact of different incentive structures on doctors' adaptive behavior.

Main Methods:

  • A theoretical model was developed to guide doctor's treatment choices under patient present-bias.
  • A lab experiment was conducted with participants in the role of doctors.
  • Participants learned about the prevalence of present-bias in a simulated patient population over multiple rounds.
  • Individual incentives and salary-based compensation were used to test their effect on adaptive behavior.

Main Results:

  • On average, doctors adapted their treatment strategies as they gained information about patient present-bias.
  • A significant portion of participants did not achieve optimal adaptation.
  • Adaptation rates were similar under individual incentives and salary for the initial rounds.
  • Individual incentives promoted continued adaptation beyond round 5, while salary led to a plateau.

Conclusions:

  • Providing doctors with information on patient present-bias can enhance treatment adherence.
  • Adaptive medical decision-making is influenced by learning and incentive structures.
  • Further research into optimizing doctor behavior and patient adherence is warranted.