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Updated: Feb 19, 2026

Multidisciplinary Approach to Obesity Management: A Case Report
Published on: May 30, 2025
Cost-Effectiveness of a Clinical Childhood Obesity Intervention
Mona Sharifi1, Calvin Franz2, Christine M Horan3
1Department of Pediatrics, Section of General Pediatrics, Yale University School of Medicine, New Haven, Connecticut; mona.sharifi@yale.edu.
Insights
The Study of Technology to Accelerate Research (STAR) intervention for childhood obesity is a cost-effective strategy, potentially averting thousands of cases and improving public health outcomes.
Area of Science:
- Public Health
- Pediatric Medicine
- Health Economics
Background:
- Childhood obesity is a significant public health concern with long-term health and economic consequences.
- Existing clinical interventions for childhood obesity have shown variable effectiveness and cost-efficiency.
- The Study of Technology to Accelerate Research (STAR) intervention integrates electronic health record (EHR) decision support for clinicians with parent-focused behavior change support.
Purpose of the Study:
- To evaluate the cost-effectiveness of a national implementation of the STAR intervention for childhood obesity.
- To estimate the potential population impact of the STAR intervention on obesity prevalence.
- To assess the economic viability of using EHR-based decision support in pediatric practices.
Main Methods:
- A microsimulation model was developed to simulate the national implementation of the STAR intervention from 2015 to 2025.
- The model included pediatric primary care providers with functional EHRs across the United States.
- Key outcomes measured included intervention costs, changes in BMI, obesity prevalence, and cost-effectiveness metrics.
Main Results:
- A 10-year national implementation is projected to reach approximately 2 million children.
- The intervention is estimated to cost $119 per child and $237 per BMI unit reduced.
- It is expected to avert 43,000 obesity cases and 226,000 life-years with obesity, at a net cost of $4085 per case and $774 per life-year.
Conclusions:
- The STAR intervention demonstrates potential for greater cost-effectiveness compared to prior clinical childhood obesity interventions.
- Integrating clinician decision support with parent-guided behavior change is a viable strategy.
- This approach could complement population-level strategies to accelerate reductions in childhood obesity prevalence.
Objectives:
To estimate the cost-effectiveness and population impact of the national implementation of the Study of Technology to Accelerate Research (STAR) intervention for childhood obesity.
Methods:
In the STAR cluster-randomized trial, 6- to 12-year-old children with obesity seen at pediatric practices with electronic health record (EHR)-based decision support for primary care providers and self-guided behavior-change support for parents had significantly smaller increases in BMI than children who received usual care. We used a microsimulation model of a national implementation of STAR from 2015 to 2025 among all pediatric primary care providers in the United States with fully functional EHRs to estimate cost, impact on obesity prevalence, and cost-effectiveness.
Results:
The expected population reach of a 10-year national implementation is ∼2 million children, with intervention costs of $119 per child and $237 per BMI unit reduced. At 10 years, assuming maintenance of effect, the intervention is expected to avert 43 000 cases and 226 000 life-years with obesity at a net cost of $4085 per case and $774 per life-year with obesity averted. Limiting implementation to large practices and using higher estimates of EHR adoption improved both cost-effectiveness and reach, whereas decreasing the maintenance of the intervention's effect worsened the former.
Conclusions:
A childhood obesity intervention with electronic decision support for clinicians and self-guided behavior-change support for parents may be more cost-effective than previous clinical interventions. Effective and efficient interventions that target children with obesity are necessary and could work in synergy with population-level prevention strategies to accelerate progress in reducing obesity prevalence.
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