Co-design of a single session intervention chatbot for people on waitlists for eating disorder treatment: a qualitative interview and workshop study

Journal of Eating Disorders, Год журнала: 2025, Номер 13(1)

Опубликована: Март 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.

Язык: Английский

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Effectiveness of a chatbot for eating disorders prevention: A randomized clinical trial

International Journal of Eating Disorders, Год журнала: 2021, Номер 55(3), С. 343 - 353

Опубликована: Дек. 28, 2021

Abstract Objective Prevention of eating disorders (EDs) is high importance. However, digital programs with human moderation are unlikely to be disseminated widely. The aim this study was test whether a chatbot (i.e., computer program simulating conversation) would significantly reduce ED risk factors weight/shape concerns, thin‐ideal internalization) in women at for an ED, compared waitlist control, as well it overall psychopathology, depression, and anxiety prevent onset. Method Women who screened were randomized ( N = 700) (1) based on the StudentBodies© program; or (2) control. Participants followed 6 months. Results For there greater reduction intervention versus control 3‐ d −0.20; p .03) 6‐m‐follow‐up −0.19; .04). There no differences change internalization. associated reductions than psychopathology −0.29; .003) but not 6‐month follow‐up. depression anxiety. odds remaining nonclinical EDs higher both (OR 2.37, 95% CI [1.37, 4.11]) follow‐ups 2.13, [1.26, 3.59]). Discussion Findings provide support use chatbot‐based prevention reducing concerns through follow‐up, least shorter‐term. also suggest may Public Significance We found that chatbot, conversation, established, cognitive‐behavioral therapy‐based program, successful women's about weight shape follow‐up actually disorder These findings important because intervention, which uses rather simple text‐based approach, can easily order these deadly illnesses. Trial registration: OSF Registries; https://osf.io/7zmbv

Язык: Английский

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Potential benefits and limitations of machine learning in the field of eating disorders: current research and future directions

Journal of Eating Disorders, Год журнала: 2022, Номер 10(1)

Опубликована: Май 8, 2022

Abstract Advances in machine learning and digital data provide vast potential for mental health predictions. However, research using the field of eating disorders is just beginning to emerge. This paper provides a narrative review existing explores benefits, limitations, ethical considerations aid detection, prevention, treatment disorders. Current primarily uses predict disorder status from females’ responses validated surveys, social media posts, or neuroimaging often with relatively high levels accuracy. early work evidence improve current screening methods. ability these algorithms generalise other samples be used on mass scale only explored. One key benefit over traditional statistical methods simultaneously examine large numbers (100s 1000s) multimodal predictors their complex non-linear interactions, but few studies have explored this Machine also being develop chatbots psychoeducation coping skills training around body image disorders, implications intervention. The use personalise options, ecological momentary interventions, clinicians discussed. accurate, rapid, cost-effective More needed diverse participants ensure that models are unbiased, generalisable all people There important limitations utilising practice. Thus, rather than magical solution, should seen as an tool researchers, eventually clinicians, identification,

Язык: Английский

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Development and usability testing of a chatbot to promote mental health services use among individuals with eating disorders following screening

International Journal of Eating Disorders, Год журнала: 2022, Номер 55(9), С. 1229 - 1244

Опубликована: Авг. 18, 2022

Abstract Objective A significant gap exists between those who need and receive care for eating disorders (EDs). Novel solutions are needed to encourage service use address treatment barriers. This study developed evaluated the usability of a chatbot designed pairing with online ED screening. The tool aimed promote mental health utilization by improving motivation self‐efficacy among individuals EDs. Methods prototype, Alex, was using decision trees theoretically‐informed components: psychoeducation, motivational interviewing, personalized recommendations, repeated administration. Usability testing conducted over four iterative cycles, user feedback informing refinements next iteration. Post‐testing, participants (N= 21) completed System Scale (SUS), Usefulness, Satisfaction, Ease Use Questionnaire (USE), semi‐structured interview. Results Interview detailed aspects enjoyed necessitating improvement. Feedback converged on themes: experience, qualities, content, ease use. Following refinements, users described Alex as humanlike, supportive, encouraging. Content perceived novel personally relevant. USE scores across domains were generally above average (~5 out 7), SUS indicated “good” “excellent” final iteration receiving highest score. Discussion Overall, reflected positively interactions including initial version. Refinements cycles further improved experiences. provides preliminary evidence feasibility acceptance services Public Significance Low rates have been observed following disorder Tools needed, scalable, digital options, that can be easily paired screening, improve addressing utilization.

Язык: Английский

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The impacts of COVID-19 on eating disorders and disordered eating: A mixed studies systematic review and implications

Frontiers in Psychology, Год журнала: 2022, Номер 13

Опубликована: Сен. 6, 2022

Purpose The unique constraints to everyday life brought about by the COVID-19 pandemic have been suggested negatively impact those with pre-existing mental health issues such as eating disorders. While individuals disorders or disordered behaviors likely represent a vulnerable group pandemic, of is yet be fully established. Methods We systematically examined on and behaviors. searched electronic databases MEDLINE, PsycINFO, CINAHL, EMBASE for literature published until October 2021. Eligible studies were required report without diagnosed disorder who exposed pandemic. Findings Seventy-two met eligibility criteria majority reporting an increase in associated Specifically, it appears children adolescents may present groups impacts Discussion This mixed systematic review provides timely insight into will assist understanding possible future long-term It that role stress development maintenance intensified cope uncertainty Future research needed among understudied minority examine implications Systematic registration https://www.crd.york.ac.uk/prospero/display_record.php?RecordID=284749 , PROSPERO [CRD42021284749].

Язык: Английский

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Project Body Neutrality: Piloting a digital single‐session intervention for adolescent body image and depression

International Journal of Eating Disorders, Год журнала: 2023, Номер 56(8), С. 1554 - 1569

Опубликована: Май 2, 2023

Eating disorders and depression impact youth at alarming rates, yet most adolescents do not access support. Single-session interventions (SSIs) can reach in need. This pilot examines the acceptability utility of a SSI designed to help improve functionality appreciation (a component body neutrality) by focusing on valuing one's based functions it performs, regardless appearance satisfaction.

Язык: Английский

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Factors Influencing the Acceptability, Acceptance, and Adoption of Conversational Agents in Health Care: Integrative Review

Journal of Medical Internet Research, Год журнала: 2023, Номер 25, С. e46548 - e46548

Опубликована: Июль 10, 2023

Conversational agents (CAs), also known as chatbots, are digital dialog systems that enable people to have a text-based, speech-based, or nonverbal conversation with computer another machine based on natural language via an interface. The use of CAs offers new opportunities and various benefits for health care. However, they not yet ubiquitous in daily practice. Nevertheless, research regarding the implementation care has grown tremendously recent years.This review aims present synthesis factors facilitate hinder from perspectives patients professionals. Specifically, it focuses early outcomes acceptability, acceptance, adoption cornerstones later success.We performed integrative review. To identify relevant literature, broad literature search was conducted June 2021 no date limits using all fields PubMed, Cochrane Library, Web Science, LIVIVO, PsycINFO. keep current, March 2022. many eligible primary sources possible, we used snowballing approach by searching reference lists hand search. Factors influencing were coded through parallel deductive inductive approaches, which informed current technology acceptance models. Finally, synthesized thematic map.Overall, 76 studies included this We identified related 4 core Unified Theory Acceptance Use Technology (UTAUT) 2 (UTAUT2) (performance expectancy, effort facilitating conditions, hedonic motivation), most underlining relevance performance expectancy. meet particularities context, redefined UTAUT2 social influence, habit, price value. 6 other factors: perceived risk, trust, anthropomorphism, issue, working alliance, user characteristics. Overall, 10 among professionals value, characteristics) 13 (additionally motivation, issue).This shows manifold Knowledge these is fundamental planning. Therefore, findings can serve basis future develop appropriate strategies. Furthermore, provides empirical test models identifies areas where additional necessary.PROSPERO CRD42022343690; https://www.crd.york.ac.uk/prospero/display_record.php?RecordID=343690.

Язык: Английский

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Revealing the complexity of users’ intention to adopt healthcare chatbots: A mixed-method analysis of antecedent condition configurations

Information Processing & Management, Год журнала: 2023, Номер 60(5), С. 103444 - 103444

Опубликована: Июль 6, 2023

Язык: Английский

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Challenges and Opportunities for the Design of Inclusive Digital Mental Health Tools: Understanding Culturally Diverse Young People's Experiences

Опубликована: Май 11, 2024

Mental health issues affect approximately 13% of people aged 10-24 years old worldwide. In Western countries (e.g. USA, UK, Australia), mental are particularly prominent in Culturally and Linguistically Diverse (CALD) individuals, yet they disproportionately affected relation to service provision. Despite demand, there is a significant lack literature explicitly exploring the design digital tools for CALD populations. Our study engaged five professionals working health, gain insights into challenges access provision, then 41 young explore their experiences. We contribute set unique barriers that face when seeking help, needs future tools. also provide recommendations researchers on how might better support inclusion communities

Язык: Английский

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The Challenges in Designing a Prevention Chatbot for Eating Disorders: Observational Study

JMIR Formative Research, Год журнала: 2022, Номер 6(1), С. e28003 - e28003

Опубликована: Янв. 19, 2022

Background Chatbots have the potential to provide cost-effective mental health prevention programs at scale and increase interactivity, ease of use, accessibility intervention programs. Objective The development chatbot for eating disorders (EDs) is still in its infancy. Our aim present examples solutions challenges designing refining a rule-based program EDs, targeted adult women risk developing an ED. Methods Participants were 2409 individuals who least began use EDs response social media advertising. Over 6 months, research team reviewed up 52,129 comments from these users identify inappropriate responses that negatively impacted users’ experience technical glitches. Problems identified by reviewers then presented entire team, generated possible implemented new responses. Results most common problem with was general limitation understanding responding appropriately unanticipated user We developed several workarounds limit problems while retaining some interactivity. Conclusions Rule-based chatbots reach large populations low cost but are limited They can be effective providing information simple conversations. Workarounds reduce conversation errors.

Язык: Английский

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