title: What can dropouts teach us about retention in eating disorder treatment studies?
abstract: OBJECTIVE
  To describe strategies used to retain adolescents with bulimia nervosa (BN) in a randomized clinical trial, and to compare treatment completers and dropouts on baseline demographic and symptom severity information.
  
  
  METHODS
  Adolescents with BN (N = 80) completed a demographic questionnaire, the Eating Disorder Examination, Rosenberg Self-esteem Scale, Family Adaptability and Cohesion Evaluation Scales, and Beck Depression Inventory prior to beginning treatment.
  
  
  RESULTS
  Several strategies were used to promote treatment retention (e.g., encouraging parental involvement in treatment, prompt rescheduling of cancelled appointments). Six participants (7.50%) voluntarily dropped out of treatment and three additional participants (3.75%) were asked to terminate treatment for medical/psychiatric reasons. Compared with treatment completers, noncompleters reported significantly longer duration of illness (p < .01). Sixty-two percent of treatment completers and only 22% of dropouts were from intact families.
  
  
  CONCLUSIONS
  Examining factors related to retention in adolescent treatment trials is important, and could be utilized to improve retention in adult studies where drop out rates are higher.
authors.affiliation: Department of Psychiatry, The University of Chicago, 5841 South Maryland Avenue, Chicago, IL 60637, USA. rhoste@yoda.bsd.uchicago.edu
authors.forename: Renee Rienecke
authors.initials: RR
authors.lastname: Hoste
authors.forename: Shannon
authors.initials: S
authors.lastname: Zaitsoff
authors.forename: Kristen
authors.initials: K
authors.lastname: Hewell
authors.forename: Daniel
authors.initials: D
authors.lastname: le Grange
mesh_terms: D000293:Adolescent; D000328:Adult; D052018:Bulimia Nervosa / Q000628:therapy*; D002648:Child; D005260:Female; D006801:Humans; D008297:Male; D010352:Patient Dropouts / Q000523:psychology*; D016032:Randomized Controlled Trials as Topic; D012307:Risk Factors