Evidence map›Paper›PMID 31102373›Full record

ArticleJournal of medical Internet research2019

A Digital Behavioral Weight Gain Prevention Intervention in Primary Care Practice: Cost and Cost-Effectiveness Analysis.

Anirudh Krishnan, Eric Andrew Finkelstein, Erica Levine, Perry Foley, Sandy Askew, Dori Steinberg, Gary G Bennett

Open access · goldAbstract read
In one paragraph

Article in Journal of medical Internet research, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed, 3 pooled it
3.6field-weighted citation impact, top 8% of its field
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

13 citing papers in PubMed, 3 syntheses or guidelines pooled it, 23 citations in OpenAlex.

  1. Pooled it
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  8. Tinnitus Retraining Therapy: In Person Versus Mobile Application Based - Two Case Scenarios.Indian journal of otolaryngology and head and neck surgery : official publication of the Association of Otolaryngologists of India · 2025
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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

7 authors at 2 institutions in 2 countries.

Anirudh KrishnanProgram in Health Services and Systems Research, Duke-NUS Medical School, Singapore, Singapore.ORCID 0000-0002-1958-0047
Eric Andrew FinkelsteinProgram in Health Services and Systems Research, Duke-NUS Medical School, Singapore, Singapore.ORCID 0000-0001-6443-9686
Erica LevineDuke Global Digital Health Science Center, Duke University, Durham, NC, United States.ORCID 0000-0002-2541-1725
Perry FoleyDuke Global Digital Health Science Center, Duke University, Durham, NC, United States.ORCID 0000-0002-4081-7328
Sandy AskewDuke Global Digital Health Science Center, Duke University, Durham, NC, United States.ORCID 0000-0002-4585-6115
Dori SteinbergDuke Global Digital Health Science Center, Duke University, Durham, NC, United States.ORCID 0000-0001-7588-4216
Gary G BennettDuke Global Digital Health Science Center, Duke University, Durham, NC, United States.ORCID 0000-0002-4740-9175
Duke University · USDuke-NUS Medical School · SG

Funding

Interdisciplinary Research Careers in Women's HealthK12HD043446 · NICHD · DUKE UNIVERSITY · PI AMUNDSEN, CINDY · 2002 to 2023
$9.6M
Community Based Obesity Prevention Among Black WomenR01DK078798 · NIDDK · DUKE UNIVERSITY · PI BENNETT, GARY G · 2008 to 2012
$3.0M
Strengthening Benefit-Cost Analyses of Substance Abuse PreventionF32DA034501 · NIDA · DUKE UNIVERSITY · PI CROWLEY, DANIEL MAX · 2012 to 2014
$150k
Scientific Meetings for Advancing Economic Analyses of Substance Abuse PreventionR13DA036339 · NIDA · DUKE UNIVERSITY · PI DODGE, KENNETH A · 2014 to 2015
$38k
NICHD NIH HHS K12 HD043446NIDA NIH HHS F32 DA034501NIDA NIH HHS R13 DA036339NIDDK NIH HHS R01 DK078798
6 · The paper itself

Abstract

backgroundObesity is one of the largest drivers of health care spending but nearly half of the population with obesity demonstrate suboptimal readiness for weight loss treatment. Black women are disproportionately likely to have both obesity and limited weight loss readiness. However, they have been shown to be receptive to strategies that prevent weight gain.

objectiveThe aim of this study was to evaluate the costs and cost-effectiveness of a digital weight gain prevention intervention (Shape) for black women. Shape consisted of adaptive telephone-based coaching by health system personnel, a tailored skills training curriculum, and patient self-monitoring delivered via a fully automated interactive voice response system.

methodsA cost and cost-effectiveness analysis based on a randomized clinical trial of the Shape intervention was conducted from the payer perspective. Costs included those of delivering the program to 91 intervention participants in the trial and were summarized by program elements: self-monitoring, skills training, coaching, and administration. Effectiveness was measured in quality-adjusted life years (QALYs). The primary outcome was the incremental cost per QALY of Shape relative to usual care.

resultsShape cost an average of US $758 per participant. The base-case model in which quality of life benefits decay linearly to zero 5 years post intervention cessation, generated an incremental cost-effectiveness ratio (ICER) of US $55,264 per QALY. Probabilistic sensitivity analyses suggest an ICER below US $50,000 per QALY and US $100,000 per QALY in 39% and 98% of simulations, respectively. Results are highly sensitive to durability of benefits, rising to US $165,730 if benefits end 6 months post intervention.

conclusionsResults suggest that the Shape intervention is cost-effective based on established benchmarks, indicating that it can be a part of a successful strategy to address the nation's growing obesity epidemic in low-income at-risk communities.

Indexed as

Behavior TherapyCost-Benefit AnalysisFemaleHumansMalePrimary Health CareQuality of LifeWeight Gaincost-benefit analysiscost-effectivenessminority healthobesitytelemedicineweight gainweight gain preventionwomen’s health

Identifiers

PMID31102373
PMCPMC6543798
OpenAlexW2940309876

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.