Development and usability testing of a chatbot to promote mental health services use among individuals with eating disorders following screening.
Objective: A significant gap exists between those who need and those who receive care for eating disorders (EDs). Novel solutions are needed to encourage service use and address treatment barriers. This study developed and evaluated the usability of a chatbot designed for pairing with online ED scre...
| Publicado en: | International Journal of Eating Disorders Vol. 55; no. 9; pp. 1229 - 1245 |
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| Autores principales: | , , , , , , , , , , |
| Formato: | Artículo |
| Publicado: |
Wiley-Blackwell
Sep2022
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| Materias: | |
| Acceso en línea: | Ver este registro en EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=ssf&AN=158880998&site=ehost-live header: @attributes: shortDbName: ssf uiTerm: 158880998 longDbName: Social Sciences Full Text (H.W. Wilson) uiTag: AN controlInfo: bkinfo: jinfo: jid: 02763478 IJD jtl: International Journal of Eating Disorders issn: 02763478 maglogo: Y pubinfo: dt: Sep2022 vid: 55 iid: 9 pid: 480 pub: Wiley-Blackwell artinfo: ui: 158880998 10.1002/eat.23798 ppf: 1229 ppct: 16 formats: tig: atl: Development and usability testing of a chatbot to promote mental health services use among individuals with eating disorders following screening. aug: au: Shah, Jillian DePietro, Bianca D'Adamo, Laura Firebaugh, Marie‐Laure Laing, Olivia Fowler, Lauren A. Smolar, Lauren Sadeh‐Sharvit, Shiri Taylor, C. Barr Wilfley, Denise E. Fitzsimmons‐Craft, Ellen E. affil: Department of Psychiatry, Washington University School of Medicine, St. Louis Missouri,, USA National Eating Disorders Association, New York City New York,, USA Center for m2Health, Palo Alto University, Palo Alto California,, USA Department of Psychiatry and Behavioral Sciences, Stanford University School of Medicine, Stanford California,, USA su: Treatment of eating disorders Telepsychiatry Motivation (Psychology) Motivational interviewing Medical screening Interviewing Self-efficacy Instant messaging Mental health services Health promotion Diagnosis of eating disorders User-centered system design Decision trees Research methodology User interfaces Digital health Psychoeducation Medical care use Software architecture Surveys Questionnaires sug: subj: Treatment of eating disorders Telepsychiatry Motivation (Psychology) Motivational interviewing Medical screening Interviewing Self-efficacy Instant messaging Mental health services Health promotion All Other Miscellaneous Ambulatory Health Care Services Psychiatric and Substance Abuse Hospitals Residential Mental Health and Substance Abuse Facilities Offices of Mental Health Practitioners (except Physicians) Computer systems design and related services (except video game design and development) Diagnosis of eating disorders User-centered system design Decision trees Research methodology User interfaces Digital health Psychoeducation Medical care use Software architecture Surveys Questionnaires keyword: chatbot chatbot design chatbot development conversational agent digital intervention eating disorder health screening mental health treatment mhealth chatbot chatbot design chatbot development conversational agent digital intervention eating disorder health screening mental health treatment mhealth ab: Objective: A significant gap exists between those who need and those who receive care for eating disorders (EDs). Novel solutions are needed to encourage service use and address treatment barriers. This study developed and evaluated the usability of a chatbot designed for pairing with online ED screening. The tool aimed to promote mental health service utilization by improving motivation for treatment and self‐efficacy among individuals with EDs. Methods: A chatbot prototype, Alex, was designed using decision trees and theoretically‐informed components: psychoeducation, motivational interviewing, personalized recommendations, and repeated administration. Usability testing was conducted over four iterative cycles, with user feedback informing refinements to the next iteration. Post‐testing, participants (N= 21) completed the System Usability Scale (SUS), the Usefulness, Satisfaction, and Ease of Use Questionnaire (USE), and a semi‐structured interview. Results: Interview feedback detailed chatbot aspects participants enjoyed and aspects necessitating improvement. Feedback converged on four themes: user experience, chatbot qualities, chatbot content, and ease of use. Following refinements, users described Alex as humanlike, supportive, and encouraging. Content was perceived as novel and personally relevant. USE scores across domains were generally above average (~5 out of 7), and SUS scores indicated "good" to "excellent" usability across cycles, with the final iteration receiving the highest average score. Discussion: Overall, participants generally reflected positively on interactions with Alex, including the initial version. Refinements between cycles further improved user experiences. This study provides preliminary evidence of the feasibility and acceptance of a chatbot designed to promote motivation for and use of services among individuals with EDs. Public Significance: Low rates of service utilization and treatment have been observed among individuals following online eating disorder screening. Tools are needed, including scalable, digital options, that can be easily paired with screening, to improve motivation for addressing eating disorders and promote service utilization. pubtype: Academic Journal doctype: Article src: R language: English refInfo: copyright: @attributes: flag: N holdings: @attributes: islocal: N |
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