Assessing the inter‐rater and intra‐rater reliability of the Physical Therapy Competence Assessment for Airway Suctioning (PT‐CAAS)
Bibliographic record
Abstract
BACKGROUND AND PURPOSE: The Physical Therapy Competence Assessment for Airway Suctioning (PT-CAAS) is a recently developed measure to assess the clinical competence of physiotherapists who perform airway suctioning with adults. The purpose of this study was to assess the inter-rater and intra-rater reliability of the PT-CAAS. METHODS: Scoring rules were developed through expert consultation. Reliability was then assessed using nine videos of suctioning performed in a simulated learning environment. A repeated measures design was used, with two replicate sets of measurements made by each participant for all videos. Data were analyzed using a repeated measures model for the concurrent assessment of inter-rater and intra-rater reliability. Participants were physiotherapists with suctioning experience. RESULTS: Twenty physiotherapists completed initial scoring and re-scoring for all nine videos; their data were included in the analysis. Intraclass correlation coefficients (ICCs) for inter-rater reliability ranged from 0.569 [lower one-sided 95% confidence interval (CI): 0.395; standard error of measurement (SEM): 0.963] for infection control to 0.759 (lower one-sided 95% CI: 0.612; SEM: 0.722) for post-suctioning assessment and care. The inter-rater ICC for overall performance was 0.752 (lower one-sided 95% CI: 0.602; SEM: 0.660). ICCs for intra-rater reliability ranged from 0.759 (lower one-sided 95% CI: 0.197; SEM 0.721) for infection control to 0.860 (lower one-sided 95% CI: 0.544; SEM: 0.550) for post-suctioning assessment and care. The intra-rater ICC for overall performance was 0.867 (lower one-sided 95% CI: 0.559; SEM: 0.483). DISCUSSION: Evidence of moderate to good inter-rater and good intra-rater reliability was found; however, the results should be interpreted with caution given the wide CIs and relatively large SEMs. Improved assessor training and assessments of reliability using a larger sample size are recommended.
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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 | 0.108 | 0.129 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.001 | 0.002 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 0.001 |
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".