Austin Amelia, Allen Karina L
Mathison Centre for Mental Health Research & Education, University of Calgary, Calgary, Canada.
Department of Community Health Sciences, Cumming School of Medicine, University of Calgary, Calgary, Canada.
J Eat Disord. 2025 Jul 10;13(1):135. doi: 10.1186/s40337-025-01290-2.
For over a decade, the mental health field has been interested in precision treatment using psychopharmacological interventions. More recently, this interest has expanded to include psychotherapy, which is the primary treatment modality for eating disorders. Personalised medicine and precision treatment are also seen as priorities for the eating disorder field by those with lived experience and carers, clinicians and researchers. However, precision treatment necessitates the collection of large amounts of clinical data. Three frameworks exist or have been proposed for the purpose of gathering large-scale routine clinical outcomes in eating disorder services: The International Consortium for Health Outcomes Measurement (ICHOM) eating disorder set, the Australia national minimum dataset, and the Eating Disorders Clinical Research Network. Despite the emergence of these frameworks, challenges exist with implementation. This paper outlines the rationale for the collection of routine outcome data in eating disorder treatment settings, the three existing frameworks proposed, and considerations for implementation and scaling. These include clinical and practice applications, technical aspects, statistics, and contextual factors. We invite attention to our recommendations and collaborative approaches to facilitate progress towards precision treatment in eating disorders.
十多年来,心理健康领域一直关注使用精神药物干预的精准治疗。最近,这种兴趣已扩大到包括心理治疗,而心理治疗是饮食失调的主要治疗方式。有过亲身经历的患者、护理人员、临床医生和研究人员也将个性化医疗和精准治疗视为饮食失调领域的优先事项。然而,精准治疗需要收集大量临床数据。为了在饮食失调服务中收集大规模常规临床结果,已经存在或提出了三个框架:国际健康结果测量协会(ICHOM)饮食失调数据集、澳大利亚国家最小数据集和饮食失调临床研究网络。尽管出现了这些框架,但在实施方面仍存在挑战。本文概述了在饮食失调治疗环境中收集常规结果数据的基本原理、提出的三个现有框架以及实施和推广的注意事项。这些包括临床和实践应用、技术方面、统计学和背景因素。我们呼吁关注我们的建议和协作方法,以促进饮食失调精准治疗的进展。