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- Title
One Sheet Does Not Fit All: The Dietetic Treatment Experiences of Individuals with High Eating Disorder Symptomatology Attending a Metabolic and Bariatric Clinic; an Exploratory Mixed-Methods Study.
- Authors
Yang, Yive; Conti, Janet; Piya, Milan K.; McMaster, Caitlin M.; Hay, Phillipa
- Abstract
This study aimed to explore the dietetic treatment experiences of individuals with high eating disorder (ED) symptomatology attending a metabolic and bariatric clinic. An exploratory mixed methods cross-sectional study was conducted. Eighteen participants completed the survey, which included an adapted version of the Eating Disorders Treatment Experience Survey (EDTES), the Eating Disorder Examination Questionnaire Short (EDE-QS), and quantitative and qualitative questions relating to the roles and helpfulness of a dietitian in treatment. Data regarding the most and least helpful dietitians were collected. Differences between groups were tested with the Wilcoxon signed ranks test. A reflexive thematic analysis was used to analyse open-ended responses. The mean EDE-QS score reported by participants was 20.9 (SD = 6.0). The dietitians who were perceived as the most helpful were those who took into consideration an individual's treatment preferences and choices (Z = −1.96, p = 0.05). Three themes were constructed: (1) nutrition knowledge and skills, (2) person-centred care, and (3) roles of the multidisciplinary team. Although further research is required, our findings suggest that the role of a dietitian in this setting may extend beyond weight-loss advice, and with additional training, could include individualised and collaborative supportive care that overlaps with ED treatment.
- Subjects
TREATMENT of eating disorders; DIETETICS; CROSS-sectional method; THERAPEUTICS; QUALITATIVE research; DATA analysis; RESEARCH funding; QUESTIONNAIRES; SEVERITY of illness index; QUANTITATIVE research; DESCRIPTIVE statistics; ATTITUDE (Psychology); SURVEYS; THEMATIC analysis; EXPERIENCE; RESEARCH; RESEARCH methodology; STATISTICS; DATA analysis software; PATIENTS' attitudes; HEALTH care teams
- Publication
Dietetics, 2024, Vol 3, Issue 2, p98
- ISSN
2674-0311
- Publication type
Article
- DOI
10.3390/dietetics3020009