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Development and validation of a progress monitoring tool tailored for use in intensive eating disorder treatment.

ABSTRACT: OBJECTIVE:Despite calls for routine use of progress and outcome monitoring in private and intensive treatment centres for eating disorders (EDs), existing measures have limited relevance to these supervised treatment settings. This study sought to develop and validate the progress monitoring tool for eating disorders, a multidimensional measure for progress monitoring in the context of intensive ED treatment. METHOD:Thirty-seven items were generated by a team of content experts, clinicians, and administrative staff from the target treatment setting. Adolescent and adult females (N = 531) seeking residential ED treatment completed the items at admission as part of the clinic's routine assessment battery; 83% were retained for repeat assessment at discharge. Exploratory factor analysis was conducted for preliminary measure development. RESULTS:Results yielded a five-factor, 26-item structure explaining 50% of total variance. Final construct domains included weight and shape concern, ED behaviours and urges, emotion avoidance, adaptive coping, and relational connection. The measure demonstrated adequate internal consistency, sensitivity to change during treatment, and convergence with validated assessment measures. CONCLUSIONS:Preliminary data support the progress monitoring tool for eating disorders as a novel and valid multidimensional measure of treatment-relevant constructs. This measure may have utility in measuring treatment progress for patients receiving intensive treatment for EDs.

SUBMITTER: Espel-Huynh H

PROVIDER: S-EPMC7086406 | biostudies-literature | 2020 Mar

REPOSITORIES: biostudies-literature

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Development and validation of a progress monitoring tool tailored for use in intensive eating disorder treatment.

Espel-Huynh Hallie H Thompson-Brenner Heather H Boswell James F JF Zhang Fengqing F Juarascio Adrienne S AS Lowe Michael R MR

European eating disorders review : the journal of the Eating Disorders Association 20200128 2

<h4>Objective</h4>Despite calls for routine use of progress and outcome monitoring in private and intensive treatment centres for eating disorders (EDs), existing measures have limited relevance to these supervised treatment settings. This study sought to develop and validate the progress monitoring tool for eating disorders, a multidimensional measure for progress monitoring in the context of intensive ED treatment.<h4>Method</h4>Thirty-seven items were generated by a team of content experts, c ...[more]

PMID: 31994259

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Project description:Findings from studies investigating cognitive flexibility in eating disorders (EDs) are inconsistent, and although neuropsychological tests are commonly used to measure these skills, they may not be particularly effective in predicting everyday functioning. Also, extant studies have largely focused on flexibility in anorexia nervosa (AN), with assessments targeting general rather than specific flexibility, and cognitive, rather than behavioral flexibility. Knowledge regarding ED specific flexibility and flexibility in bulimia nervosa (BN) and binge eating disorder (BED) is still scarce. The aim of this study was to develop and validate a novel measure assessing general and ED specific flexibility in a diagnostically diverse sample, and in healthy controls (HCs). A sample of 207 adult individuals with EDs (55% AN, 29% BN, 16% BED) and 288 HCs responded to an online, 51-item, pilot questionnaire on ED specific and general flexibility. In addition, participants completed the shift subscale from the Behavior Rating Inventory of Executive Function Adult version (BRIEF-A), and the Eating Disorder Diagnostic Scale (EDDS). A principal component analysis (PCA) in the clinical sample yielded a 36-item, three-factor solution capturing general flexibility, flexibility related to food and exercise, and flexibility concerning body shape and weight. Results showed that the measure had good to excellent internal consistency, and good convergent validity. A confirmatory factor analysis (CFA) using data from HCs revealed good fit indexes, supporting the original factor solution. A receiver operating characteristics analysis (ROC) demonstrated excellent accuracy in distinguishing scores from those with and without EDs. A cutoff score of 136 yielded the most balanced sensitivity and specificity. Significant differences in general and ED specific flexibility were found between individuals with and without EDs. Overall, HCs achieved the highest flexibility scores, followed by those with BED, BN, and AN. In sum this novel measure, the Eating Disorder Flexibility Index (EDFLIX) questionnaire, was found to be reliable and valid in the assessment of cognitive and behavioral flexibility, with results offering support for the conceptual distinction between general and ED related flexibility. The study also provides strong evidence for the discriminant validity of the EDFLIX with results revealing significant differences in flexibility in people with and without EDs. In addition, significant differences in flexibility also emerged when comparing diagnostic groups, indicating the utility of the assessment instrument for classification purposes.

Project description:Background There is a scarcity of validated rapid dietary screening tools for patient use in the clinical setting to improve health and reduce cardiovascular risk. The Healthy Eating Index (HEI) 2015 measures compliance with the 2015 to 2020 Dietary Guidelines for Americans but requires completion of an extensive diet assessment to compute, which is time consuming and impractical. The authors hypothesize that a 19-item dietary survey assessing consumption of common food groups known to affect health will be correlated with the HEI-2015 assessed by a validated food frequency questionnaire and can be further reduced without affecting validity. Methods and Results A 19-item Eating Assessment Tool (EAT) of common food groups was created through literature review and expert consensus. A cross-sectional survey was then conducted in adult participants from a preventive cardiology clinic or cardiac rehabilitation and in healthy volunteers (n=661, mean age, 36 years; 76% women). Participants completed an online 156-item food frequency questionnaire, which was used to calculate the HEI score using standard methods. The association between each EAT question and HEI group was analyzed by Kruskal-Wallis test. Linear regression models were subsequently used to identify univariable and multivariable predictors for HEI score for further reduction in the number of items. The final 9-item model of Mini-EAT was validated by 5-fold cross validation. The 19-item EAT had a strong correlation with the HEI score (r=0.73) and was subsequently reduced to the 9 items independently predictive of the HEI score: fruits, vegetables, whole grains, refined grains, fish or seafood, legumes/nuts/seeds, low-fat dairy, high-fat dairy, and sweets consumption, without affecting the predictive ability of the tool (r=0.71). Conclusions Mini-EAT is a 9-item validated brief dietary screener that correlates well with a comprehensive food frequency questionnaire. Future studies to test the Mini-EAT's validity in diverse populations and for development of clinical decision support systems to capture changes over time are needed.

Project description:BackgroundEating disorders severely impact psychological, physical, and social functioning, and yet, the majority of individuals with eating disorders do not receive treatment. Mobile health apps have the potential to decrease access barriers to care and reach individuals who have been underserved by traditional treatment modalities.ObjectiveThe objective of this study was to evaluate the effectiveness of a tailored, fully automated self-help version of Recovery Record, an app developed for eating disorders management. We examined differences in eating disorder symptom change in app users that were randomized to receive either a standard, cognitive behavioral therapy-based version of the app or a tailored version that included algorithmically determined clinical content aligned with baseline and evolving user eating disorder symptom profiles.MethodsParticipants were people with eating disorder symptoms who did not have access to traditional treatment options and were recruited via the open-access Recovery Record app to participate in this randomized controlled trial. We examined both continuous and categorical clinical improvement outcomes (measured with the self-report Eating Disorder Examination Questionnaire [EDE-Q]) in both intervention groups.ResultsBetween December 2016 and August 2018, 3294 Recovery Record app users were recruited into the study, out of which 959 were considered engaged, completed follow-up assessments, and were included in the analyses. Both study groups achieved significant overall outcome improvement, with 61.6% (180/292) of the tailored group and 55.4% (158/285) of the standard group achieving a clinically meaningful change in the EDE-Q, on average. There were no statistically significant differences between randomized groups for continuous outcomes, but a pattern of improvement being greater in the tailored group was evident. The rate of remission on the EDE-Q at 8 weeks was significantly greater in the group receiving the tailored version (d=0.22; P≤.001).ConclusionsThis is the first report to compare the relative efficacy of two versions of a mobile app for eating disorders. The data suggest that underserved individuals with eating disorder symptoms may benefit clinically from a self-help app and that personalizing app content to specific clinical presentations may be more effective in promoting symptomatic remission on the EDE-Q than content that offers a generic approach.Trial registrationClinicalTrials.gov NCT02503098; https://clinicaltrials.gov/ct2/show/NCT02503098.

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Development and validation of a progress monitoring tool tailored for use in intensive eating disorder treatment.

Publications

Development and validation of a progress monitoring tool tailored for use in intensive eating disorder treatment.

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