Evidence map›Paper›PMID 40366655›Full record

ArticleJAMA network open2025

Estimated Costs and Cost-Effectiveness of a Pediatric Weight Management Program.

Meg Simione, Sophie Wagner, Caroline J Kistin, Kelsey A Egan, Sheila Kelly, William G Adams, Elsie M Taveras, Chin Hur

Abstract read
In one paragraph

Article in JAMA network open, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Review
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

8 authors.

Meg SimioneDepartment of Pediatrics, Mass General for Children, Boston, Massachusetts.
Sophie WagnerDepartment of Medicine, Columbia University Irving Medical Center, New York City, New York.
Caroline J KistinHassenfeld Child Health Innovation Institute, Department of Health Services, Policy, and Practice, Brown University School of Public Health, Providence, Rhode Island.
Kelsey A EganDivision of Health Services Research, Department of Pediatrics, Boston Medical Center, Boston University Chobanian and Avedisian School of Medicine, Boston, Massachusetts.
Sheila KellyDepartment of Pediatrics, Mass General for Children, Boston, Massachusetts.
William G AdamsDivision of Health Services Research, Department of Pediatrics, Boston Medical Center, Boston University Chobanian and Avedisian School of Medicine, Boston, Massachusetts.
Elsie M TaverasDepartment of Pediatrics, Mass General for Children, Boston, Massachusetts.
Chin HurDepartment of Medicine, Columbia University Irving Medical Center, New York City, New York.

Funding

Institutional Career DevelopmentKL2TR001411 · NCATS · BOSTON UNIVERSITY MEDICAL CAMPUS · PI MORONE, NATALIA E. · 2015 to 2024
$5.9M
Implementation of Childhood Obesity Treatment Innovations to Improve Outcomes of Low-Income Children: The Connect for Health II StudyR01HL146782 · NHLBI · MASSACHUSETTS GENERAL HOSPITAL · PI TAVERAS BENAVIDEZ, ELSIE MIREYA · 2019 to 2023
$4.0M
Adapting a pediatric weight management program for implementation via telehealthK23HL161447 · NHLBI · UNIVERSITY OF RHODE ISLAND · PI Meg Simione · 2022 to 2026
$709k
Patient Oriented Research and Mentorship in Childhood Obesity DisparitiesK24HL159680 · NHLBI · MASSACHUSETTS GENERAL HOSPITAL · PI TAVERAS BENAVIDEZ, ELSIE MIREYA · 2021 to 2025
$510k
NCATS NIH HHS KL2 TR001411NHLBI NIH HHS K23 HL161447NHLBI NIH HHS K24 HL159680NHLBI NIH HHS R01 HL146782
6 · The paper itself

Abstract

Importance: Childhood obesity remains a significant public health challenge, with ongoing racial, ethnic, and socioeconomic disparities in its prevention and treatment. Economic evaluations of pediatric obesity interventions are essential for guiding resource allocation in health care settings. Objective: To develop and analyze a simulation model of the Connect for Health program to estimate the costs of implementing the program and assess its cost-effectiveness. Design, Setting, and Participants: This economic evaluation used a Markov cohort model based on the Connect for Health randomized clinical trial (RCT) conducted from June 2014 through March 2016 and the Connect for Health implementation study conducted at 2 academic medical centers in Boston, MA. The study first estimated costs of implementation for new sites, and then simulated program implementation in a cohort that mirrored the RCT population. Data were analyzed from October 2023 to March 2025. Exposure: The Connect for Health pediatric weight management program. Main Outcomes and Measures: Outcomes include costs associated with program implementation and the incremental cost-effectiveness ratio (ICER) per quality-adjusted life-year (QALY) gained. Results: This study used a cohort of 2494 individuals to mirror the RCT population and included 1178 female participants (47%), a mean (SD) age of 8.0 (3.0) years, and a mean (SD) body mass index z score of 1.91 (0.56). The costs of implementing the Connect for Health program in primary care settings were estimated at $58 000 in 1-time startup costs and $1300 in ongoing monthly costs. The economic model showed that the Connect for Health strategy had an ICER of $10 554 per QALY gained over 2 years compared with no intervention. The study found a threshold of 534 children in a cohort was needed to effectively amortize costs. Conclusions and Relevance: In this economic evaluation of a pediatric weight management program, the Connect for Health program was estimated to be cost-effective. These findings are important for health care systems that serve children who are less likely to receive obesity-related care in making decisions about program adoption.

Indexed as

Cost-Benefit AnalysisPediatric ObesityWeight Reduction ProgramsAdolescentBostonChildFemaleHumansMaleMarkov ChainsQuality-Adjusted Life Years

Identifiers

PMID40366655
PMCPMC12079289

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.