Evidence map›Paper›PMID 30855082›Full record

Trial reportTranslational behavioral medicine2020

Cost of behavioral weight loss programs implemented in clinical practice: The POWER trial at Johns Hopkins.

Gail L Daumit, Ellen M Janssen, Gerald J Jerome, Arlene T Dalcin, Jeanne Charleston, Jeanne M Clark, Janelle W Coughlin, Hsin-Chieh Yeh, Edgar R Miller, Nowella Durkin and 4 more

Abstract readRandomized Controlled Trial
In one paragraph

Trial report in Translational behavioral medicine, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed, 1 pooled it
–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

10 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Trial
  3. Trial
  4. [Cost-effectiveness of the Lose Weight, Gain Life program].Revista medica del Instituto Mexicano del Seguro Social · 2026
    Article
  5. Article
  6. Article
  7. Uses of Virtual Care in Primary Care: Scoping Review.Journal of medical Internet research · 2025
    Article
  8. Article
  9. Review
  10. 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

14 authors.

Gail L DaumitDivision of General Internal Medicine, Johns Hopkins University School of Medicine, Baltimore, MD, USA.
Ellen M JanssenDepartment of Health Policy and Management, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA.
Gerald J JeromeDivision of General Internal Medicine, Johns Hopkins University School of Medicine, Baltimore, MD, USA.
Arlene T DalcinDivision of General Internal Medicine, Johns Hopkins University School of Medicine, Baltimore, MD, USA.
Jeanne CharlestonDivision of General Internal Medicine, Johns Hopkins University School of Medicine, Baltimore, MD, USA.
Jeanne M ClarkDivision of General Internal Medicine, Johns Hopkins University School of Medicine, Baltimore, MD, USA.
Janelle W CoughlinWelch Center for Prevention, Epidemiology, and Clinical Research, Johns Hopkins University, Baltimore, MD, USA.
Hsin-Chieh YehWelch Center for Prevention, Epidemiology, and Clinical Research, Johns Hopkins University, Baltimore, MD, USA.
Edgar R MillerWelch Center for Prevention, Epidemiology, and Clinical Research, Johns Hopkins University, Baltimore, MD, USA.
Nowella DurkinWelch Center for Prevention, Epidemiology, and Clinical Research, Johns Hopkins University, Baltimore, MD, USA.
Thomas A LouisDepartment of Biostatistics, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA.
Kevin D FrickJohns Hopkins Carey Business School, Baltimore, MD, USA.
Nae-Yuh WangDivision of General Internal Medicine, Johns Hopkins University School of Medicine, Baltimore, MD, USA.
Lawrence J AppelDivision of General Internal Medicine, Johns Hopkins University School of Medicine, Baltimore, MD, USA.

Funding

Research BaseP30DK072488 · NIDDK · UNIVERSITY OF MARYLAND BALTIMORE · PI MITCHELL, BRAXTON D, TAYLOR, SIMEON I. · 2005 to 2019
$17.3M
Using an innovative quality improvement process to increase delivery of evidenced-based CVD risk factor care in community mental health organizationsP50MH115842 · NIMH · JOHNS HOPKINS UNIVERSITY · PI Christina T. Yuan · 2018 to 2026
$16.2M
NIDDK NIH HHS P30 DK072488NIMH NIH HHS P50 MH115842
6 · The paper itself

Abstract

Obesity presents an important public health problem that affects more than a third of the U.S. adult population and that is associated with increased morbidity, mortality, and costs. Previously, we documented that two primary care-based weight loss interventions were clinically effective. To encourage the implementation of and reimbursement for these interventions, we evaluated their relative cost-effectiveness. We performed a cost analysis of the Practice-based Opportunities for Weight Reduction (POWER) trial, a three-arm trial that enrolled 415 patients with obesity from six primary care practices. Trial participants were randomized to a control arm, an in-person support intervention, or a remote support intervention; in the two intervention arms, behavioral interventions were delivered over 24 months, in two phases. Weight loss was measured at 6, 12, and 24 months. Using timesheets and empirical data, we evaluated the cost of the in-person and remote support interventions from the perspective of a health care system delivering the interventions. A univariate sensitivity analysis was conducted to evaluate uncertainty around model assumptions. All comparisons were tested using independent t-tests. Cost of the in-person intervention was higher at 6 months ($113 per participant per month and $117 per kg lost) than the remote support intervention ($101 per participant per month and $99 per kg lost; p < .001). Costs were also higher for the in-person support intervention at 24 months ($73 per participant per month and $342 per kg lost) than for the remote support intervention ($53 per participant per month and $275 per kg lost; p < .001). In the sensitivity analyses, cost ranged from $274/kg lost to $456/kg lost for the in-person support intervention and from $218/kg to $367/kg lost for the remote support intervention. A primary care weight loss intervention administered remotely was relatively more cost-effective than an in-person intervention. Expanding the scope of reimbursable programs to include other cost-effective interventions could help ensure that a broader range of patients receive the type of support needed.

Indexed as

Weight Reduction ProgramsAdultBehavior TherapyCost-Benefit AnalysisHumansObesityWeight LossBehavioral weight loss interventionCost analysisObesityOverweight

Identifiers

PMID30855082
PMCPMC7295697

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

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.