We Have Spent Time, Money, and Effort Making Self-Help Digital Mental Health Interventions: Is Anyone Going to Come to the Party? DOI Creative Commons
Skye Fitzpatrick, Alexander O. Crenshaw, Victoria Donkin

et al.

Journal of Medical Internet Research, Journal Year: 2024, Volume and Issue: 26, P. e58198 - e58198

Published: Sept. 19, 2024

Although efficacious psychotherapies exist, a limited number of mental health care providers and significant demand make their accessibility fundamental problem. Clinical researchers, funders, investors alike have converged on self-help digital interventions (self-help DMHIs) as low-cost, low-burden, broadly scalable solution to the global burden. Consequently, exorbitant financial time-based resources been invested in developing, testing, disseminating these interventions. However, public’s assumed desirability for DMHIs by experts has largely proceeded without question. This commentary critically evaluates whether can, will, reach purported potential public burden illness, with an emphasis evaluating real-world desirability. Our review finds that are often perceived less desirable credible than in-person treatments, lower usage rates and, perhaps accordingly, clinical trials testing suffering from widespread recruitment challenges. We highlight two challenges may be interfering of, engagement in, DMHIs: (1) difficulty competing technology companies advantages resources, marketing, user experience design (but not delivering evidence-based interventions) (2) retaining (vs initially attracting) users. discuss range solutions, including highlighting awareness campaigns; education about can guide consumers appropriate DMHI selection; increased expert support researchers design, development; involvement stakeholders DMHIs; investing more research ways improve retention (versus initial engagement). suggest that, through efforts, fully realize promise reducing illness.

Language: Английский

Co-design of a single session intervention chatbot for people on waitlists for eating disorder treatment: a qualitative interview and workshop study DOI Creative Commons
Gemma Sharp, Bronwyn Dwyer, Jue Xie

et al.

Journal of Eating Disorders, Journal Year: 2025, Volume and Issue: 13(1)

Published: March 11, 2025

Abstract Background Early treatment is critical to improve eating disorder prognosis. Single session interventions have been proposed as a strategy provide short term support people on waitlists for treatment, however, it not always possible access this early intervention. Conversational artificial intelligence agents or “chatbots” reflect unique opportunity attempt fill gap in service provision. The aim of research was co-design novel chatbot capable delivering single intervention adults the waitlist across diagnostic spectrum and ascertain its preliminary acceptability feasibility. Methods A Double Diamond approach employed which included four phases: discover, define, develop, deliver. There were 17 participants total Australia; ten with lived experience an seven registered psychologists working field disorders, who participated online interviews workshops. Thematic content analyses undertaken interview/workshop transcriptions findings from previous phase informing ideas development next phase. final prototype presented deliver Results identified main themes that present phases interviews/workshops: conversational tone, safety risk management, user journey structure, content. Conclusions Overall, feedback positive throughout process both psychologists. Incorporating allowed refinement chatbot. Further required evaluate chatbot’s efficacy settings.

Language: Английский

Citations

2

A Pilot Study of “Help for Overcoming Problem Eating” (HOPE): A Single Session Intervention for College Students With Binge‐Spectrum Eating Disorders DOI
Sonakshi Negi, Kelsie T. Forbush

International Journal of Eating Disorders, Journal Year: 2025, Volume and Issue: unknown

Published: Feb. 27, 2025

ABSTRACT Introduction Eating disorders (EDs) are common among university students, yet most students with EDs do not have access to ED‐related care on their campuses. Objective The goal of this study was test the initial acceptability and feasibility H elp for O vercoming P roblem E ating (HOPE), first digital single‐session intervention designed reduce binge eating college non‐low‐weight binge‐spectrum EDs. Method Seventy‐five completed HOPE answered questions about user perceptions program following completion. They also baseline, 1‐week, 4‐week follow‐up questionnaires assessing ED symptoms. Results Of eligible participants ( N = 190), 70.52% n 134) consented study, 42.63% 81) started HOPE, 39.47% 75) HOPE. Descriptive statistics showed that highly acceptable, a scaled mean overall score 4.35 out 5. Paired Sample t ‐tests there were significant reductions in p < 0.001, 1‐week d 0.86, 0.98), restricting 0.52, 0.41), cognitive restraint 0.63, 0.87) Discussion demonstrated preliminary efficacy those who intervention. Further testing randomized controlled trial design is warranted. Although current findings provided promising pilot data, additional research needed identify reasons attrition/nonparticipation barriers

Language: Английский

Citations

0

Mental Health Impacts of Self‐Help Interventions for the Treatment and Prevention of Eating Disorders. A Meta‐Analysis DOI Creative Commons
Jake Linardon, Hannah K. Jarman, Claudia Liu

et al.

International Journal of Eating Disorders, Journal Year: 2025, Volume and Issue: unknown

Published: March 3, 2025

ABSTRACT Objective Self‐help programs are recommended as a first step in the management of eating disorders. Yet, whether self‐help interventions have broader mental health benefits beyond symptom and risk reduction remains unclear. As randomized controlled trials (RCTs) also assess general secondary to disorder symptoms, we conducted meta‐analysis investigate what extent pure for disorders produce improvements these outcomes. Method Twenty‐seven RCTs prevention or treatment were included. Mean age ranged from 16 46 years. Most based on cognitive‐behavioral therapy. delivered via digital means (Internet, apps, etc.). Random effects meta‐analyses six outcomes: depression, anxiety, distress, quality life, self‐esteem, psychosocial impairment. Analyses stratified pre‐selected (at risk/symptomatic) clinical samples. Results For samples ( k = 18), significant pooled favoring over controls observed depression g 0.24), anxiety 0.23), distress 0.23) self‐esteem 0.18). Effects remained robust when adjusting bias. Non‐significant life Crucially, > 80% waitlist control. 9), found 0.39), impairment 0.29), although results should be interpreted with caution number studies was low. Conclusion small those symptoms that typically comorbid

Language: Английский

Citations

0

Predicting Responsiveness to a Dialectical Behavioural Therapy Skills Training App for Recurrent Binge Eating: A Machine Learning Approach DOI Creative Commons
Zoe McClure, Christopher Greenwood, Matthew Fuller‐Tyszkiewicz

et al.

Behaviour Research and Therapy, Journal Year: 2025, Volume and Issue: 190, P. 104755 - 104755

Published: April 22, 2025

Language: Английский

Citations

0

Engagement Patterns and User Feedback from a Dialectical Behavior Therapy App for Eating Disorders DOI Creative Commons
Cleo Anderson, Matthew Fuller‐Tyszkiewicz, Mariel Messer

et al.

Journal of Technology in Behavioral Science, Journal Year: 2025, Volume and Issue: unknown

Published: April 7, 2025

Language: Английский

Citations

0

The effect of eHealth-based guided self help interventions for binge eating disorder : a meta-analysis of randomized controlled trials DOI
Gülsüm Zekiye Tuncer, Metin Tuncer

Eating Disorders, Journal Year: 2025, Volume and Issue: unknown, P. 1 - 23

Published: May 5, 2025

With rapid technological advancements, eHealth-based guided self-help interventions have become accessible, flexible, cost-effective, and stigma-reducing treatment options for binge eating disorder (BED). This meta-analysis evaluated the effectiveness of these in individuals diagnosed with BED or showing symptoms, based on eight randomized controlled trials 1,575 participants. Intervention length varied between a single session to four months. Six studies focused solely web-based interventions, one study implemented hybrid approach combining face-to-face online components, another employed two distinct methods. The included psychoeducational modules, therapist feedback, behavior monitoring, self-assessments. significantly reduced psychopathology (SMD: 0.53; 95% CI: 0.20-0.86) objective (OBE) days 0.49; 0.12-0.85) compared controls. These offer effective solutions facing barriers traditional access.

Language: Английский

Citations

0

A dialectical behavior therapy skills training smartphone app for recurrent binge eating: a randomized clinical trial DOI Creative Commons
Jake Linardon, Cleo Anderson, Zoe McClure

et al.

Psychological Medicine, Journal Year: 2024, Volume and Issue: unknown, P. 1 - 12

Published: Dec. 9, 2024

Abstract Background Dialectical behavior therapy (DBT) is a specialized treatment that has growing evidence base for binge-spectrum eating disorders. However, cost and workforce capacity limit wide-scale uptake of DBT since it involves over 20 in-person sessions with trained professional (and six guided self-help format). Interventions translated delivery through modern technology offer solution to increase the accessibility evidence-based treatments. We developed first DBT-specific skills training smartphone application ( Resilience : eDBT ) disorders evaluated its efficacy in randomized clinical trial. Method Participants reporting recurrent binge were n = 287) or waitlist 289). Primary outcomes objective episodes global levels disorder psychopathology. Secondary behavioral cognitive symptoms, psychological distress, hypothesized processes change (mindfulness, emotion regulation, distress tolerance). Results Intention-to-treat analyses showed intervention group reported greater reductions (incidence rate ratio 0.69) psychopathology d −0.68) than at 6 weeks. Significant differences favoring also observed on secondary outcomes, except subjective eating, tolerance. symptoms further improvements from 12 dropout was high (48%) among group, engagement decreased study period. Conclusion A novel, low-intensity app can effectively reduce Scalable apps like these may

Language: Английский

Citations

3

We Have Spent Time, Money, and Effort Making Self-Help Digital Mental Health Interventions: Is Anyone Going to Come to the Party? DOI Creative Commons
Skye Fitzpatrick, Alexander O. Crenshaw, Victoria Donkin

et al.

Journal of Medical Internet Research, Journal Year: 2024, Volume and Issue: 26, P. e58198 - e58198

Published: Sept. 19, 2024

Although efficacious psychotherapies exist, a limited number of mental health care providers and significant demand make their accessibility fundamental problem. Clinical researchers, funders, investors alike have converged on self-help digital interventions (self-help DMHIs) as low-cost, low-burden, broadly scalable solution to the global burden. Consequently, exorbitant financial time-based resources been invested in developing, testing, disseminating these interventions. However, public’s assumed desirability for DMHIs by experts has largely proceeded without question. This commentary critically evaluates whether can, will, reach purported potential public burden illness, with an emphasis evaluating real-world desirability. Our review finds that are often perceived less desirable credible than in-person treatments, lower usage rates and, perhaps accordingly, clinical trials testing suffering from widespread recruitment challenges. We highlight two challenges may be interfering of, engagement in, DMHIs: (1) difficulty competing technology companies advantages resources, marketing, user experience design (but not delivering evidence-based interventions) (2) retaining (vs initially attracting) users. discuss range solutions, including highlighting awareness campaigns; education about can guide consumers appropriate DMHI selection; increased expert support researchers design, development; involvement stakeholders DMHIs; investing more research ways improve retention (versus initial engagement). suggest that, through efforts, fully realize promise reducing illness.

Language: Английский

Citations

2