Evidence map›Paper›PMID 38660465›Full record

ArticleInternet interventions2024

The use of coaching in smartphone app-based cognitive behavioral therapy for body dysmorphic disorder.

Emily E Bernstein, Jennifer L Greenberg, Hilary Weingarden, Ivar Snorrason, Berta Summers, Jasmine Williams, Rachel Quist, Joshua Curtiss, Oliver Harrison, Sabine Wilhelm

Open access · goldAbstract read
In one paragraph

Article in Internet interventions, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed, 1 pooled it
2.6field-weighted citation impact, top 12% 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

3 citing papers in PubMed, 1 synthesis or guideline pooled it, 4 citations in OpenAlex.

  1. Pooled it
  2. Observational
  3. 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

10 authors at 2 institutions in 1 country.

Emily E BernsteinMassachusetts General Hospital, United States of America.
Jennifer L GreenbergMassachusetts General Hospital, United States of America.
Hilary WeingardenMassachusetts General Hospital, United States of America.
Ivar SnorrasonMassachusetts General Hospital, United States of America.
Berta SummersMassachusetts General Hospital, United States of America.
Jasmine WilliamsMassachusetts General Hospital, United States of America.
Rachel QuistMassachusetts General Hospital, United States of America.
Joshua CurtissMassachusetts General Hospital, United States of America.
Oliver HarrisonKoa Health, United States of America.
Sabine WilhelmMassachusetts General Hospital, United States of America.
Massachusetts General Hospital · USHarvard University · US

Funding

Smartphone-based digital phenotyping to detect high-risk affect states in body dysmorphic disorderK23MH119372 · NIMH · MASSACHUSETTS GENERAL HOSPITAL · PI WEINGARDEN, HILARY · 2019 to 2024
$922k
NIMH NIH HHS K23 MH119372
6 · The paper itself

Abstract

Background: Body dysmorphic disorder (BDD) is severe and undertreated. Digital mental health could be key to expanding access to evidence-based treatments, such as cognitive behavioral therapy for BDD (CBT-BDD). Coach guidance is posited to be essential for effective uptake of digital interventions. However, little is known about how different patients may use coaching, what patterns correspond to meaningful outcomes, and how to match coaching to patient needs. Methods: Participants were 77 adults who received a 12-week guided smartphone CBT-BDD. Bachelor's-level coaches were available via asynchronous messaging. We analyzed the 400 messages sent by users to coaches during treatment. Message content was coded using the efficiency model of support (i.e., usability, engagement, fit, knowledge, and implementation). We aimed to clarify when and for what purposes patients with BDD used coaching, and if we can meaningfully classify patients by these patterns. We then assessed potential baseline predictors of coach usage, and whether distinct patterns relate to clinical outcomes. Results: Users on average sent 5.88 messages (SD = 4.51, range 1-20) and received 9.84 (SD = 5.74, range 2-30). Regarding frequency of sending messages, latent profile analysis revealed three profiles, characterized by: (1) peak mid-treatment (16.88 %), (2) bimodal/more communication early and late in treatment (10.39 %), and (3) consistent low/no communication (72.73 %). Regarding content, four profiles emerged, characterized by mostly (1) engagement (51.95 %), (2) fit (15.58 %), (3) knowledge (15.58 %), and (4) miscellaneous/no messages (16.88 %). There was a significant relationship between frequency profile and age, such that the early/late peak group was older than the low communication group, and frequency profile and adherence, driven by the mid-treatment peak group completing more modules than the low contact group. Regarding content, the engagement and knowledge groups began treatment with more severe baseline symptoms than the fit group. Content profile was associated with dropout, suggesting higher dropout rates in the miscellaneous/no contact group and reduced rates in the engagement group. There was no relationship between profile membership and other outcomes. Discussion: The majority of participants initiated little contact with their coach and the most common function of communications was to increase engagement. Results suggest that older individuals may prefer or require more support than younger counterparts early in treatment. Additionally, whereas individuals using coaching primarily for engagement may be at lower risk of dropping out, those who do not engage at all may be at elevated risk. Findings can support more personalized, data-driven coaching protocols and more efficient allocation of coaching resources.

Indexed as

Body dysmorphic disorderClinical trialCoachCognitive behavioral therapyDigital healthSmartphone

Identifiers

PMID38660465
PMCPMC11039337
OpenAlexW4394935765

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.