title: Baseline predictors of treatment outcome in Internet-based alcohol interventions: a recursive partitioning analysis alongside a randomized trial.
abstract: BACKGROUND
  Internet-based interventions are seen as attractive for harmful users of alcohol and lead to desirable clinical outcomes. Some participants will however not achieve the desired results. In this study, harmful users of alcohol have been partitioned in subgroups with low, intermediate or high probability of positive treatment outcome, using recursive partitioning classification tree analysis.
  
  
  METHODS
  Data were obtained from a randomized controlled trial assessing the effectiveness of two Internet-based alcohol interventions. The main outcome variable was treatment response, a dichotomous outcome measure for treatment success. Candidate predictors for the classification analysis were first selected using univariate regression. Next, a tree decision model to classify participants in categories with a low, medium and high probability of treatment response was constructed using recursive partitioning software.
  
  
  RESULTS
  Based on literature review, 46 potentially relevant baseline predictors were identified. Five variables were selected using univariate regression as candidate predictors for the classification analysis. Two variables were found most relevant for classification and selected for the decision tree model: 'living alone', and 'interpersonal sensitivity'. Using sensitivity analysis, the robustness of the decision tree model was supported.
  
  
  CONCLUSIONS
  Harmful alcohol users in a shared living situation, with high interpersonal sensitivity, have a significantly higher probability of positive treatment outcome. The resulting decision tree model may be used as part of a decision support system but is on its own insufficient as a screening algorithm with satisfactory clinical utility.
  
  
  BACKGROUND
  Netherlands Trial Register (Cochrane Collaboration): NTR-TC1155.
authors: Jellinek, Arkin Mental Health Care, Amsterdam, The Netherlands. m.blankers@amc.uva.nl
authors: Matthijs
authors: M
authors: Blankers
authors: Maarten W J
authors: MW
authors: Koeter
authors: Gerard M
authors: GM
authors: Schippers
mesh_terms: D000328:Adult; D000437:Alcoholism / Q000145:classification / Q000628:therapy*; D015928:Cognitive Behavioral Therapy; D003663:Decision Trees; D005260:Female; D006801:Humans; D020407:Internet; D008297:Male; D008875:Middle Aged; D062405:Motivational Interviewing; D009426:Netherlands; D011379:Prognosis; D012044:Regression Analysis; D012648:Self Care; D016896:Treatment Outcome
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