Potential cost-effectiveness of e-health interventions for treating overweight and obesity in Australian adolescents

Pediatr Obes. 2023 Apr;18(4):e13003. doi: 10.1111/ijpo.13003. Epub 2023 Jan 17.

Abstract

Background: E-health, defined as the use of information and communication technologies to improve healthcare delivery and health outcomes, has been promoted as a cost-effective strategy to treat adolescent overweight and obesity. However, evidence supporting this claim is lacking.

Objectives: Assess the potential cost-effectiveness of a hypothetical e-health intervention for adolescents with overweight and obesity.

Methods: The costs and effect size (BMI reduction) of the hypothetical intervention were sourced from recent systematic reviews. Using a micro-simulation model with a lifetime time horizon, we conducted a modelled cost-utility analysis of the intervention compared to a 'do-nothing' approach. To explore uncertainty, we conducted bootstrapping on individual-level costs and quality-adjusted life years (QALYs) and performed multiple one-way sensitivity analyses.

Results: The incremental cost-effectiveness ratio (ICER) for the e-health intervention was dominant (cheaper and more effective), with a 96% probability of being cost-effective at a willingness-to-pay (WTP) of $50 000/QALY. The ICER remained dominant in all sensitivity analyses except when using the lower bounds of the hypothetical intervention effect size, which reduced the probability of cost-effectiveness at a WTP of $50 000/QALY to 51%.

Conclusion: E-health interventions for treatment of adolescent overweight and obesity demonstrate very good cost-effectiveness potential and should be considered by healthcare decision makers. However, further research on the efficacy of such interventions is warranted to strengthen the case for investment.

Keywords: adolescence; cost-effectiveness; e-health; obesity.

Publication types

  • Research Support, Non-U.S. Gov't

MeSH terms

  • Adolescent
  • Australia
  • Cost-Benefit Analysis
  • Humans
  • Overweight
  • Pediatric Obesity*
  • Telemedicine*