Group cognitive‐behavioural therapy for hoarding disorder: Systematic review and meta‐analysis
Bibliographic record
Abstract
Previous meta-analysis has reported the rate of reliable and clinically significant changes in hoarding disorder (HD) after cognitive-behavioural therapy (CBT) based on the classical CBT model of HD, as between 42% and 25%. However, in this analysis, different types of therapy (group vs individual, G-CBT and I-CBT, respectively), different providers (psychologist vs nonpsychologist), and different diagnosis (HD vs hoarding behaviour) were analysed together. Hence, it remains unclear if reported rate of changes was due to limits of the CBT model of HD or due to the fact that different applications of the model were analysed together. The aim of this meta-analysis is to highlight shortcomings in the description of existing approaches in G-CBT in HD and provide an up-to-date review of the current state of efficacy. We searched references for treatment trials of G-CBT for HD in adults with object hoarding, where treatment was conducted by a professional in PubMed, PsychINFO and Web of Science databases, and ResearchGate (for grey literature). Data on participants, treatment modalities, and outcomes were extracted; treatment effect-size was meta-analysed. Five hundred and forty-three references were found; after title and abstract screening, eight articles (178 participants) were retained of which seven were included in the meta-analysis. G-CBT showed improvement of HD severity at posttreatment (Hedge's g = 0.96). The rate of clinically reliable changes across groups of treatment was 21%-68% (M = 36.7%; SD = 12.1%). The meta-analyses showed a statistically but not clinically significant impact of age on effect-size. No publication bias was found. There is strong evidence supporting the efficacy of G-CBT including modified or extended versions of classical G-CBT protocols. However, controlled trials with follow-up assessment are needed to evaluate long-term G-CBT efficacy for HD. As well, the rate of clinically significant changes is low; further research on the HD model could improve the efficacy of G-CBT.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.011 | 0.026 |
| Meta-epidemiology (narrow) | 0.003 | 0.001 |
| Meta-epidemiology (broad) | 0.018 | 0.030 |
| Bibliometrics | 0.006 | 0.007 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.003 | 0.002 |
| Open science | 0.002 | 0.001 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.005 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".