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Pages in category "Eating disorders screening and assessment tools" The following 16 pages are in this category, out of 16 total.
The Eating Attitudes Test (EAT, EAT-26), created by David Garner, is a widely used 26-item, standardized self-reported questionnaire of symptoms and concerns characteristic of eating disorders. The EAT is useful in assessing "eating disorder risk" in high school, college and other special risk samples such as athletes.
The Eating Disorder Referral Form is an abbreviated form of the EDI-3 for use in non-clinical settings such as the allied health professions. It contains 25 questions from the EDI-3 that are specific to eating disorder risk. It also includes questions specific to the behavioral patterns of someone with or at risk of developing an eating disorder.
The SCOFF questionnaire utilizes an acronym in a simple five question test devised for use by non-professionals to assess the possible presence of an eating disorder.It was devised by Morgan et al. in 1999.
Eating Disorder Inventory (EDI) The Eating Disorder Examination Questionnaire (EDE-Q) is a 28-item self-report questionnaire, adapted from the semi-structured interview, the Eating Disorder Examination (EDE). The questionnaire is designed to assess the range, frequency and severity of behaviours associated with a diagnosis of an eating disorder.
The BAT is used to evaluate self-reported outlooks women with eating disorders have pre-, during, and post-treatment. It has been proven to highlight the psychological changes experienced throughout the rehabilitation process and is a useful way to gauge adherence and success of treatment. [1]
The Eating Disorder Diagnostic Scale (EDDS) is a self-report questionnaire that assesses the presence of three eating disorders; anorexia nervosa, bulimia nervosa and binge eating disorder. It was adapted by Stice et al. in 2000 from the validated structured psychiatric interview: The Eating Disorder Examination (EDE) and the eating disorder ...
The PHQ-9 is brief, free to use, and easy to score. It has good specificity, but the poor sensitivity could lead to false negatives, [26] which is a problem for a screening tool. It is likely to perform best in samples where the prevalence of depressive disorders is high. [25]