The Checklist of Unit Behaviours (<scp>CUB</scp>): Validation within a Canadian outpatient day hospital programme
Bibliographic record
Abstract
Accessible summary What is known on the subject? The psychometrics of the CUB measure have been tested within an inpatient psychiatric setting. Results show that the CUB has two factors that reflect patients' approach and avoidance of dimensions of the treatment milieu, and that an increase of approach and decrease of avoidance are correlated with discharge. No empirical research has examined the validity of the CUB in a day hospital programme. What this article adds to existing knowledge? This study was the first to address the validity of this questionnaire within a psychiatric day hospital setting. This now allows other mental health service providers to use this questionnaire following administration of patient engagement interventions (such as behavioural activation), which are routinely used within this type of a setting. What are the implications for practice? Our results can enable healthcare providers to employ an effective and psychometrically validated tool in a day hospital setting to measure treatment outcomes and provide reflections of patients' approach behaviours and avoidance behaviours. Abstract Introduction We evaluated the Checklist of Unit Behaviours (CUBs) questionnaire in a novel mental health setting: a day hospital within a large acute care general hospital. No empirical evidence exists, as of yet, to look at the validity of this measure in this type of a treatment setting. The CUB measures two factors, avoidance or approach, of the patients' engagement with the treatment milieu within the previous 24 hr. Aim A confirmatory factor analysis (CFA) was conducted to validate the CUB's original two factor structure in an outpatient day programme. Methods Psychiatric outpatients (n = 163) completed the CUB daily while participating in a day hospital programme in Toronto, Canada. Results A CFA was used to confirm the CUB factors but resulted in a poor fitting model for our sample, χ2 (103) = 278.59, p < .001, CFI = 0.80, RMSEA = 0.10, SRMR = 0.10. Questions 5, 8 and 10 had higher loadings on a third factor revealed through exploratory factor analysis. We believe this factor, “Group Engagement,” reflects the construct of group‐related issues. Discussion The CUB was a practical and useful tool in our psychiatric day hospital setting at a large acute care general hospital. Implications for practice Our analysis identified group engagement, a critical variable in day programmes, as patients have autonomy regarding staying or leaving the programme.
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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 | 0.014 | 0.034 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.003 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.003 | 0.002 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 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".