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Digital guided self-help for eating disorders: thematic analysis of participant text messages to coaches

  • Shiri Sadeh-Sharvit*
  • , Orly Idan
  • , Lauren A. Fowler
  • , Ellen E. Fitzsimmons-Craft
  • , Marie-Laure Firebaugh
  • , Arielle Smith
  • , Andrea K. Graham
  • , Neha J. Goelf
  • , Rachael E. Flatt
  • , Katherine N. Balantekinh
  • , Grace E. Monterubiod
  • , Anna M. Karam
  • , Burkhardt Funk
  • , Mickey T. Trockel
  • , Denise E. Wilfley
  • , Craig Barr Taylor
  • *Korrespondierende/r Autor/-in für diese Arbeit

Publikation: Beiträge in Zeitschriften › Zeitschriftenaufsätze › Forschung › Begutachtung

3 Zitate (Scopus)

Abstract

Digital guided self-help for eating disorders (GSH-ED) can reduce treatment disparities. Understanding program participants’ interests throughout the program can help adapt programs to the service users’ needs. Participants were 383 college students receiving a digital GSH-ED, who were each assigned a coach to help them better utilize the intervention through text correspondence. A thematic and affective analysis of the texts participants had sent found they primarily focused on: strategies for changing their ED-related cognitions, behaviors, and relationships; describing symptoms without expressing an active endeavor to change; and participants’ relationship with their coach. Most texts also expressed affect, demonstrating emotional engagement with the intervention. Findings suggest that participants in GSH-ED demonstrate high involvement with the intervention, and discuss topics that are similar to those reported in clinician-facilitated interventions. The themes discussed by digital program participants can inform future iterations of GSH-ED, thereby increasing scalability and accessibility of digital evidence-based ED interventions.
OriginalspracheEnglisch
ZeitschriftEating Disorders, The Journal of Treatment & Prevention
Jahrgang31
Ausgabenummer2
Seiten (von - bis)191-199
Seitenumfang9
ISSN1064-0266
DOIs
PublikationsstatusErschienen - 2023

UN SDGs

Dieser Output leistet einen Beitrag zu folgendem(n) Ziel(en) für nachhaltige Entwicklung

  1. SDG 3 – Gute Gesundheit und Wohlergehen
    SDG 3 – Gute Gesundheit und Wohlergehen

Fachgebiete und Schlagwörter

  • Informatik
  • Wirtschaftsinformatik

ASJC Scopus Sachgebiete

  • Psychiatrie und psychische Gesundheit
  • Klinische Psychologie

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