See Heng Yim1, Ulrike Schmidt1,2. 1. King's College London, Institute of Psychiatry, Psychology and Neuroscience, Section of Eating Disorders, London, UK. 2. The Eating Disorders Service, Maudsley Hospital, South London and Maudsley NHS Foundation Trust, London, UK.
Abstract
OBJECTIVE: Self-help interventions have been demonstrated to be effective in treating bulimic-type eating disorders (EDs). In particular, computer-based interventions have received increasing attention due to their potential to reach a wider population. This systematic review aimed to synthesize findings from qualitative studies on users' experiences of self-help interventions for EDs and to develop an exploratory framework. METHOD: A systematic review and meta-synthesis on seven peer-reviewed qualitative studies on structured computer and book-based self-help interventions for EDs was conducted using Noblit and Hare's (1988) 7-phase meta-ethnography. Four of the selected studies investigated computer-based self-help programs, and three of the studies investigated book-based guided self-help programs. RESULTS: Six concepts were synthesized. They included intervention-related factors (anonymity and privacy; accessibility and flexibility; guidance) and user-related factors (agency/autonomy; self-motivation; and expectations/attitudes). The study revealed the "machine-like" and relational properties of the computer; the expansion of treatment time and space in psychological interventions, the changing role of the medical health professional from a "therapist" to a "guide," and a change from understanding interventions as a conclusive treatment plan to a starting point or stepping stone toward recovery. DISCUSSION: Computer-based self-help interventions should take advantage of the "machine-like" properties of a computer (neutrality, availability, etc.) as well as its ability to facilitate human interactions. Users should also be facilitated to have a realistic understanding of the purpose of self-help interventions and the place of self-help interventions in their broader treatment plans to moderate expectations and attitudes.
OBJECTIVE: Self-help interventions have been demonstrated to be effective in treating bulimic-type eating disorders (EDs). In particular, computer-based interventions have received increasing attention due to their potential to reach a wider population. This systematic review aimed to synthesize findings from qualitative studies on users' experiences of self-help interventions for EDs and to develop an exploratory framework. METHOD: A systematic review and meta-synthesis on seven peer-reviewed qualitative studies on structured computer and book-based self-help interventions for EDs was conducted using Noblit and Hare's (1988) 7-phase meta-ethnography. Four of the selected studies investigated computer-based self-help programs, and three of the studies investigated book-based guided self-help programs. RESULTS: Six concepts were synthesized. They included intervention-related factors (anonymity and privacy; accessibility and flexibility; guidance) and user-related factors (agency/autonomy; self-motivation; and expectations/attitudes). The study revealed the "machine-like" and relational properties of the computer; the expansion of treatment time and space in psychological interventions, the changing role of the medical health professional from a "therapist" to a "guide," and a change from understanding interventions as a conclusive treatment plan to a starting point or stepping stone toward recovery. DISCUSSION: Computer-based self-help interventions should take advantage of the "machine-like" properties of a computer (neutrality, availability, etc.) as well as its ability to facilitate human interactions. Users should also be facilitated to have a realistic understanding of the purpose of self-help interventions and the place of self-help interventions in their broader treatment plans to moderate expectations and attitudes.
Authors: Claudia Stoeten; Hein Arnoud de Haan; Marloes Gerda Postel; Marjolein Brusse-Keizer; Elke Daniëlle Ter Huurne Journal: JMIR Form Res Date: 2022-06-30
Authors: See Heng Yim; Emma Bailey; Gemma Gordon; Nina Grant; Peter Musiat; Ulrike Schmidt Journal: J Med Internet Res Date: 2020-09-23 Impact factor: 5.428