Evidence map›Paper›PMID 28271423›Full record

ArticleJournal of general internal medicine2017

A Quasi-Experiment to Assess the Impact of a Scalable, Community-Based Weight Loss Program: Combining Reach, Effectiveness, and Cost.

Paul A Estabrooks, Kathryn E Wilson, Todd J McGuire, Samantha M Harden, NithyaPriya Ramalingam, Lia Schoepke, Fabio A Almeida, Amy L Bayer

Abstract read
In one paragraph

Article in Journal of general internal medicine, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
17citing papers in PubMed, 2 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

17 citing papers in PubMed, 2 syntheses or guidelines pooled it.

  1. Pooled it
  2. Understanding the impact of rural weight loss interventions: A systematic review and meta-analysis.Obesity reviews : an official journal of the International Association for the Study of Obesity · 2019
    Pooled it
  3. Article
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  8. The impact of pairing a wearable movement tracker with an online community weight loss intervention.Translational journal of the American College of Sports Medicine · 2020
    Article
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  17. Improving Weight Management among Veterans.Journal of general internal medicine · 2017
    Article
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.

Paul A EstabrooksDepartment of Health Promotion, Social and Behavioral Health, University of Nebraska Medical Center, 984365 Nebraska Medical Center, Omaha, NE, 68198-4365, USA. paul.estabrooks@unmc.edu.
Kathryn E WilsonDepartment of Health Promotion, Social and Behavioral Health, University of Nebraska Medical Center, 984365 Nebraska Medical Center, Omaha, NE, 68198-4365, USA.
Todd J McGuireIncentaHealth LLC, Denver, CO, USA.
Samantha M HardenDepartment of Human Nutrition, Foods, and Exercise, Virginia Tech, Blacksburg, VA, USA.
NithyaPriya RamalingamTranslational Biology, Medicine, and Health, Virginia Tech, Blacksburg, VA, USA.
Lia SchoepkeIncentaHealth LLC, Denver, CO, USA.
Fabio A AlmeidaDepartment of Health Promotion, Social and Behavioral Health, University of Nebraska Medical Center, 984365 Nebraska Medical Center, Omaha, NE, 68198-4365, USA.
Amy L BayerKaiser Permanente Colorado, Prevention and Chronic Care Solutions, Denver, CO, USA.

Funding

Tracking and Evaluation CoreU54GM115458 · NIGMS · UNIVERSITY OF NEBRASKA MEDICAL CENTER · PI RIZZO, MATTHEW · 2016 to 2025
$42.8M
NIGMS NIH HHS U54 GM115458
6 · The paper itself

Abstract

backgroundPrimary care addresses obesity through physician oversight of intensive lifestyle interventions or referral to external programs with demonstrated efficacy. However, limited information exists on community program reach, effectiveness, and costs across different groups of participants.

objectiveTo evaluate a scalable, community weight loss program using reach, effectiveness, and cost metrics.

designLongitudinal pre-post quasi-experiment without control.

participantsEnrolled participants in Weigh and Win (WAW), a community-based weight loss program.

interventionA 12-month program with daily social cognitive theory-based email and/or text support, online access to health coaches, objective weight assessment through 83 community-based kiosks, and modest financial incentives to increase program reach. MAIN MEASURES: Number of participants, representativeness, weight loss achievement (3%, 5% of initial weight lost), and cost of implementation. KEY

resultsA total of 40,308 adults (79% women; 73% white; BMI = 32.3 ± 7.44, age = 43.9 ± 13.1 years) enrolled in WAW. Women were more likely than men to enroll in the program and continue engagement beyond an initial weigh-in (57% vs. 53%). Based on census data, African Americans were over-represented in the sample. Among participants who engaged in the program beyond an initial weigh-in (n = 19,029), 47% and 34% of participants lost 3% and 5% of their initial body weight, respectively. The average duration for those who achieved 5% weight loss was 1.7 ± 1.3 years. African American participants were more likely to achieve 5% weight loss and remain enrolled in the program longer compared to non-African American participants (2.0 ± 1.3 vs. 1.6 ± 1.2 years). Implementation costs were $2,822,698. Cost per clinically meaningful weight loss for African Americans ($257.97/3% loss; $335.96/5% loss) was lower than that for Hispanics ($318.62; $431.10) and Caucasians ($313.65; $441.87), due to the higher success rate of that subgroup of participants.

conclusionsWeigh and Win is a scalable technology-supported and community-based weight loss program that reaches a large number of participants and may contribute to reducing health disparities.

Indexed as

Weight LossWeight Reduction ProgramsAdultBody Mass IndexCognitive Behavioral TherapyColoradoCommunity Health ServicesFemaleHealth Care CostsHumansLongitudinal StudiesMaleMiddle AgedObesityPrimary Health Carebehavioral weight Losscostimpactincentivespublic health

Identifiers

PMID28271423
PMCPMC5359160

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.