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Updated: Sep 14, 2025

A Computer-Based Platform for Aiding Clinicians in Eating Disorder Analysis and Diagnosis
Published on: May 10, 2022
Agreeing a set of biopsychosocial variables for collection across the UK Eating Disorders Clinical Research Network:
Tom Jewell1,2, Iona Smith3,4, James Downs5
1Florence Nightingale Faculty of Nursing, Midwifery & Palliative Care, King's College London, London, UK tom.1.jewell@kcl.ac.uk.
Insights
A consensus was reached on essential biopsychosocial variables for routine data collection in UK eating disorder services. This aims to improve patient care through standardized, collaborative data gathering.
Area of Science:
- Psychiatry
- Clinical Psychology
- Health Services Research
Background:
- Eating disorders are severe psychiatric conditions with significant comorbidities and poor treatment outcomes.
- Routine, standardized data collection in clinical settings can enhance patient care for eating disorders.
Purpose of the Study:
- To establish a consensus on key biopsychosocial variables for routine data collection in UK eating disorder services.
- To inform standardized data collection practices to improve care for individuals with eating disorders.
Main Methods:
- Utilized an adapted nominal group technique through two online workshops involving diverse stakeholders (patients, carers, clinicians, researchers).
- Employed reflexive thematic analysis of transcripts to identify qualitative priorities and descriptive statistics for voting analysis.
- Engaged 43 participants representing lived experience, caregiving, clinical practice, and research.
Main Results:
- Four overarching themes emerged: collaboration, holistic approach, standardization vs. individualization balance, and "doing no harm."
- Quantitative analysis identified key priorities across domains, culminating in a proposed biopsychosocial dataset for eating disorder services.
- Identified essential variables for routine data collection in adult and child/adolescent eating disorder services.
Conclusions:
- A consensus biopsychosocial dataset for routine collection within the UK Eating Disorders Clinical Research Network was agreed upon.
- Implementation and effectiveness of the proposed variables require further evaluation.
- Stakeholder support for routine data collection is contingent on meaningful, non-burdensome, non-stigmatizing measures collected collaboratively.
Background:
Eating disorders are serious psychiatric disorders associated with high levels of co-occurring physical and mental health conditions and poor treatment outcomes. The collection of standardised, routinely collected data within clinical services holds promise to improve patient care.
Objective:
To agree on a set of biopsychosocial variables for routine data collection within eating disorder services in the UK.
Methods:
Two online workshops were conducted using an adapted nominal group technique to agree on priorities for data collection in adult and child/adolescent eating disorder services. Workshop participants (n=43) consisted of people with lived experience, carers, clinicians and researchers. Two researchers independently conducted a reflexive thematic analysis of the workshop transcripts to identify qualitative priorities for data collection. Descriptive statistics were used to analyse the results of online voting.
Findings:
Thematic analysis identified four superordinate themes for data collection in eating disorder services: (1) a mutually valued and beneficial collaboration; (2) a holistic approach; (3) a balance between standardisation and individualisation; (4) doing no harm. Quantitative analysis of voting identified priorities across a range of domains, leading to a proposed biopsychosocial dataset.
Conclusions:
This project agreed on a set of biopsychosocial variables for routine data collection in the UK Eating Disorders Clinical Research Network. Further research should evaluate the implementation success of these variables.
Clinical Implications:
Patients, caregivers and clinicians support routine data collection in eating disorder services so long as the measures used are considered meaningful, not overly burdensome, non-stigmatising and collected in collaboration between patients and treatment providers.
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