Longitudinal Follow Up of Eating Disorder Treatment

Summary

Participation Requirements

Description

Research Questions Is recovery from an eating disorder in adolescence maintained and associated with good socio-economic outcomes? Is poor outcome from eating disorder treatment in adolescence associated with a chronic course of illness? Are there factors measured during treatment that predict maint...

Research Questions Is recovery from an eating disorder in adolescence maintained and associated with good socio-economic outcomes? Is poor outcome from eating disorder treatment in adolescence associated with a chronic course of illness? Are there factors measured during treatment that predict maintenance of outcome or relapse? This study will use a longitudinal follow up design, contacting former patients of the National and Specialist Child and Adolescent Mental Health Service (CAMHS) Eating Disorder Service, South London and Maudsley National Health Service (NHS) Foundation Trust (CAEDS) between 1/8/2009 and 31/1/2014. These former patients are now aged 16-27. The study will thus provide the longest and largest follow up of treated adolescents to date (n = 358 over a 4-8 year follow up). Former patients will be asked a series of questions by phone/post/email about their health and socio-economic well-being since discharge from the service. This data will be analysed together with assessment and outcome data collected while they were patients of CAEDS. Measures Data will be collected using a data collection tool developed for this project, as well as the Eating Disorders Examination Questionnaire and the Work and Social Adjustment Scale. Data collected will comprise: Age now Employment/education Any help sought for eating disorder Any help sought for other mental health difficulties Current weight Current binge/purge symptoms Current general well being All data will be self-reported by participants. Statistical power The primary analysis will be descriptive. We will recruit as many of our original treatment group as possible. A secondary analysis will be to predict who continues to require mental health care following discharge from CAEDS. Power has been calculated following Babyak's (2004) advice for power calculation for logistic regression of 13 events (continuing mental health care needs) per variable. We have taken figures from the original audit in which 24.1% (n = 69.89) had a poor outcome to hypothesise that a similar proportion of the sample at follow up will have a poor outcome. This is a conservative estimate given the chronicity of eating disorders in adulthood and the longitudinal data of on-going mental health difficulties even in the absence of diagnosable eating disorders. In order to run a logistic regression with 5 predictor variables will require 65 cases with on-going eating disorder symptoms. This will require recruitment of the majority of the original sample assuming the % of on-going difficulties remains the same. Depending on recruitment rate we will adjust analysis accordingly, and reduce the number of predictors in the model. Data analysis Planned analyses: Descriptive analysis of key health and socio-economic outcomes for all young people who received treatment in the audited timeframe and split by treatment outcome and diagnosis for between group analysis. Regression analysis to identify predictors of long term outcome from clinical variables measured at baseline assessment and service discharge (including weight, mood, anxiety, eating disorder symptoms)

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