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Assessment of Parents' Preferences for Incentives to Promote Engagement in Family-Based Childhood Obesity Treatment

Davene R Wright1,2, Brian E Saelens1,2,3, Angela Fontes4

  • 1Department of Pediatrics, University of Washington School of Medicine, Seattle.

JAMA Network Open
|March 30, 2019
PubMed

Insights

Parents prefer higher incentives for childhood obesity treatment, but are willing to accept lower amounts for shared goals and guaranteed payments. These preferences may not align with established treatment best practices.

Area of Science:

  • Pediatric obesity treatment
  • Behavioral economics
  • Health psychology

Background:

  • Family-based treatment (FBT) is a recommended approach for childhood obesity.
  • High attrition rates in FBT limit its effectiveness.
  • Extrinsic incentives have shown success in improving adult health behaviors.

Purpose of the Study:

  • To investigate parents' preferences for incentive programs designed to improve engagement in FBT for childhood obesity.
  • To identify key attributes of incentives that influence parental motivation.

Main Methods:

  • A nationally representative web-based survey was conducted with parents of children (6-17 years) with obesity.
  • A discrete choice experiment assessed preferences for incentive attributes: monetary value, payment structure, goal, and recipient.
  • Hierarchical Bayesian modeling and linear regressions analyzed preference data.

Main Results:

  • Parents preferred higher monetary incentives, but accepted lower values when incentives were gain-framed and involved both parent and child participation.
  • Incentivizing physical activity was preferred over weight loss or dietary monitoring.
  • A strong preference for guaranteed payments over lottery-based incentives was observed.

Conclusions:

  • Parental preferences for FBT incentives may not align with established best practices or behavioral economic principles.
  • Further research, such as randomized clinical trials, is needed to determine if aligning incentives with stated preferences or best practices maximizes engagement and behavior change.
Abstract

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