Evidence map›Paper›PMID 40397933›Full record

Trial reportJournal of medical Internet research2025

The Effectiveness of a Chatbot Single-Session Intervention for People on Waitlists for Eating Disorder Treatment: Randomized Controlled Trial.

Gemma Sharp, Bronwyn Dwyer, Alisha Randhawa, Isabella McGrath, Hao Hu

Abstract readRandomized Controlled TrialMulticenter Study
In one paragraph

Trial report in Journal of medical Internet research, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
13citing 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

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

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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

5 authors.

Gemma SharpDepartment of Neuroscience, Monash University, Melbourne, Australia.ORCID https://orcid.org/0000-0001-9946-518X
Bronwyn DwyerDepartment of Neuroscience, Monash University, Melbourne, Australia.ORCID https://orcid.org/0009-0000-4389-6992
Alisha RandhawaDepartment of Neuroscience, Monash University, Melbourne, Australia.ORCID https://orcid.org/0009-0007-3979-4636
Isabella McGrathSchool of Psychology, University of Queensland, St Lucia, Australia.ORCID https://orcid.org/0009-0004-0079-1890
Hao HuDepartment of Neuroscience, Monash University, Melbourne, Australia.ORCID https://orcid.org/0009-0005-4470-3247

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundEarly treatment is critical for improving eating disorder prognosis. Single-session interventions (SSIs) can provide short-term support to people on waitlists for eating disorder treatment; however, it is not always possible to access SSIs. We co-designed and developed a rule-based chatbot called ED ESSI (Eating Disorder Electronic Single-Session Intervention), which delivered an SSI and demonstrated its acceptability and feasibility. However, the effectiveness of ED ESSI is yet to be investigated.

objectiveThis study aimed to investigate the effectiveness of an SSI delivered by ED ESSI. We examined the chatbot's impact on eating disorder pathology, psychosocial impairment, depression, anxiety, stress, and motivation for change or treatment in individuals aged ≥16 years on waitlists for treatment for all types of eating disorders.

methodsThis multicenter 2-armed randomized controlled trial included 60 people on waitlists for eating disorder treatment in the chatbot intervention group (n=30, 50%) or the control group (n=30, 50%). The ED ESSI chatbot guided participants through a 30-minute SSI of assessment and psychoeducation, while the control group received web-based information on the same core topics covered in the SSI. There were 4 time points: before intervention or baseline (time point 1 [T1]), after intervention within 72 hours of baseline (T2), 1 month after baseline (T3), and 3 months after baseline (T4). Eating disorder pathology (primary outcome) and psychosocial impairment, depression, anxiety, and stress (secondary outcomes) were measured at T1, T3, and T4, and motivation for change or treatment (secondary outcome) was measured at all 4 time points. Furthermore, the System Usability Scale was implemented at T2 for the chatbot intervention group only.

resultsED ESSI induced significantly greater reductions compared to the control group in the primary outcome of eating disorder pathology (P=.003) and secondary outcomes of psychosocial impairment (P=.008), depression (P=.002), and anxiety (P=.040) over the 1- and 3-month time points, with small to moderate effects (Cohen d=0.15-0.53). Chatbot use also induced an increase in participants' confidence in their ability to change (secondary outcome) immediately after use (T2), with a moderate effect (P<.001; Cohen d=0.74). The chatbot was rated as "excellent" in terms of usability. A significantly higher proportion of participants in the chatbot group (28/30, 93%) entered treatment by 3 months upon the opportunity being offered to them, compared to the control group, with a moderate effect (21/30, 70%; P=.042; ϕ=0.30).

conclusionsED ESSI promptly induced improvements in eating disorder pathology, psychosocial impairment, depression, and anxiety, which were detectable at 1 month and maintained to 3 months. ED ESSI potentially represents an effective, accessible, and scalable form of early intervention for people aged ≥16 years waiting for eating disorder treatment. Further research is needed to determine the longer-term effectiveness of ED ESSI.

trial registrationAustralian New Zealand Clinical Trial Registry ACTRN12623000680662; https://tinyurl.com/2h9v7hh7.

Indexed as

Feeding and Eating DisordersWaiting ListsAdolescentAdultFemaleGenerative Artificial IntelligenceHumansMaleMiddle AgedTreatment OutcomeYoung AdultAIartificial intelligencechatbotcognitive behavioral therapyconversational agentdigital healtheating disorderenhanced cognitive behavioral therapymental healthrandomized controlled trialsingle-session intervention

Identifiers

PMID40397933
PMCPMC12138310

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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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.