Evidence map›Paper›PMID 40197240›Full record

ArticleBMC public health2025

Adaptations of an online cognitive-behavioral therapy intervention for binge type eating disorders in publicly-insured and uninsured adults: a pilot study.

Siena S Vendlinski, Agatha A Laboe, Peyton Crest, Claire G McGinnis, Molly F Steinhoff, Denise E Wilfley, C Barr Taylor, Ellen E Fitzsimmons-Craft, Erin C Accurso

Abstract read
In one paragraph

Article in BMC public health, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

5 citing papers in PubMed.

  1. Clinician Practices in Determining Expected Body Weights Across Eating Disorders: A Mixed Methods Study.European eating disorders review : the journal of the Eating Disorders Association · 2026
    Article
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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

9 authors.

Siena S Vendlinski *Department of Pediatrics, University of California, San Francisco, San Francisco, CA, USA.
Agatha A Laboe *Department of Psychology, University of Wisconsin-Madison, Madison, WI, USA.
Peyton CrestDepartment of Psychology, Rhodes College, Memphis, TN, USA.
Claire G McGinnisDepartment of Psychiatry, Washington University School of Medicine, St. Louis, MO, USA.
Molly F SteinhoffDepartment of Psychiatry, Washington University School of Medicine, St. Louis, MO, USA.
Denise E WilfleyDepartment of Psychiatry, Washington University School of Medicine, St. Louis, MO, USA.
C Barr TaylorDepartment of Psychiatry and Behavioral Sciences, Stanford University School of Medicine, Stanford, CA, USA.
Ellen E Fitzsimmons-Craft *Department of Psychiatry, Washington University School of Medicine, St. Louis, MO, USA.
Erin C Accurso *Department of Psychiatry and Behavioral Sciences, University of California, San Francisco, San Francisco, CA, USA. erin.accurso@ucsf.edu.

Funding

Washington University Center for Diabetes Translation Research P30DK092950 · NIDDK · WASHINGTON UNIVERSITY · PI Ross C Brownson, Debra Haire-Joshu · 2011 to 2026
$11.7M
Adapting and Implementing Family-Based Treatment for Youth with Anorexia Nervosa in Publicly-Funded SettingsK23MH120347 · NIMH · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI ACCURSO, ERIN CECILIA · 2019 to 2023
$846k
National Eating Disorders Association Feeding Hope GrantNIDDK NIH HHS P30 DK092950NIMH NIH HHS K23 MH120347
6 · The paper itself

Abstract

backgroundPublicly-insured and uninsured individuals-many of whom are marginalized because of race/ethnicity, ability status, and/or other social identities-experience barriers to accessing evidence-based interventions (EBIs) for eating disorders (EDs). Additionally, EBIs have not been developed with or for diverse populations, exacerbating poor treatment uptake. Mobile technology is well-positioned to bridge this gap and increase access to low-cost, culturally-sensitive EBIs.

methodsThis study leverages a user-centered design approach to adapt an existing coached cognitive-behavioral therapy-based digital program and evaluate its usability in a sample of 11 participants with (sub)clinical binge type EDs who are publicly-insured (n = 10) or uninsured (n = 1). Participants were primarily non-Latinx White women (n = 8). Two semi-structured interviews occurred with participants: one to assess treatment needs and the other to obtain program-specific feedback. Interviews were coded using inductive thematic analysis.

resultsInterview 1 feedback converged on three themes: Recovery Journey, Treatment Experiences, and Engagement with and Expectations for Online Programs. Participants endorsed facing barriers to healthcare, such as poor insurance coverage and a lack of trained providers, and interest in a coach to increase treatment accountability. Interview 2 feedback converged on three themes: Content Development, Participant Experiences with Mental Health, and Real-World Use. Participants liked the content but emphasized the need to improve diverse representation (e.g., gender, body size).

conclusionsOverall, user feedback is critical to informing adaptations to the original EBI so that the intervention can be appropriately tailored to the needs of this underserved population, which ultimately has high potential to address critical barriers to ED treatment.

trial registrationThis study was reviewed and approved by the Institutional Review Board (IRB) at the University California, San Francisco (IRB #22-35936) and the IRB at Washington University in St. Louis (IRB ID 202304167).

Indexed as

Binge-Eating DisorderCognitive Behavioral TherapyInsurance, HealthMedically UninsuredAdultFemaleHumansInterviews as TopicMaleMiddle AgedPilot ProjectsQualitative ResearchYoung AdultBinge eating disorderBulimia nervosaCognitive behavioral therapyDigital interventionEating disordersmHealthPublic insurance

Identifiers

PMID40197240
PMCPMC11974178

What OpenQuestion holds

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LicenceCC BY
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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.