Trial reportBMC public health2013
Baseline predictors of treatment outcome in Internet-based alcohol interventions: a recursive partitioning analysis alongside a randomized trial.
Trial report in BMC public health, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers, 2 of them syntheses that pooled it.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
10 citing papers in PubMed, 2 syntheses or guidelines pooled it.
- Effectiveness and treatment moderators of internet interventions for adult problem drinking: An individual patient data meta-analysis of 19 randomised controlled trials.PLoS medicine · 2018Pooled it
- Technology-delivered adaptations of motivational interviewing for health-related behaviors: A systematic review of the current research.Patient education and counseling · 2016Pooled it
- Predictors of positive drinking outcomes among youth receiving an alcohol brief intervention in the emergency department.Drug and alcohol dependence · 2018Trial
- Web-based alcohol intervention for veterans: PTSD, combat exposure, and alcohol outcomes.Psychological trauma : theory, research, practice and policy · 2018Trial
- Short-term effectiveness of web-based guided self-help for phobic outpatients: randomized controlled trial.Journal of medical Internet research · 2014Trial
- Rethinking the dose-response relationship between usage and outcome in an online intervention for depression: randomized controlled trial.Journal of medical Internet research · 2013Trial
- Is internet-based cognitive behavioral therapy for alcohol use disorder equally effective for men and women? Implications of a secondary analysis of a clinical trial.Frontiers in psychiatry · 2024Article
- Internet-based cognitive-behavioural therapy for tinnitus: secondary analysis to examine predictors of outcomes.BMJ open · 2021Article
- Predictors of treatment response in a web-based intervention for cannabis users.Internet interventions · 2019Article
- Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
3 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundInternet-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.
methodsData 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.
resultsBased 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.
conclusionsHarmful 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.
trial registrationNetherlands Trial Register (Cochrane Collaboration): NTR-TC1155.
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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.