Prioritising Responses Of Nurses To deteriorating patient Observations (PRONTO): a pragmatic cluster randomised controlled trial evaluating the effectiveness of a facilitation intervention on recognition and response to clinical deterioration
Bibliographic record
Abstract
BACKGROUND: Most hospitals use physiological signs to trigger an urgent clinical review. We investigated whether facilitation could improve nurses' vital sign measurement, interpretation, treatment and escalation of care for deteriorating patients. METHODS: In a pragmatic cluster randomised controlled trial, we randomised 36 inpatient wards at four acute hospitals to receive standard clinical practice guideline (CPG) dissemination to ward staff (n=18) or facilitated implementation for 6 months following standard dissemination (n=18). Expert, hospital and ward facilitators tailored facilitation techniques to promote nurses' CPG adherence. Patient records were audited pre-intervention, 6 and 12 months post-intervention on randomly selected days. Escalation of care as per hospital policy was the primary outcome at 6 and 12 months after implementation. Patients, nurses and assessors were blinded to group assignment. Analysis was by intention-to-treat. RESULTS: From 10 383 audits, improved escalation as per hospital policy was evident in the intervention group at 6 months (OR 1.47, 95% CI (1.06 to 2.04)) with a complete set of vital sign measurements sustained at 12 months (OR 1.22, 95% CI (1.02 to 1.47)). There were no significant differences in escalation of care as per hospital policy between study groups at 6 or 12 months post-intervention. After adjusting for patient and hospital characteristics, a significant change from T0 in mean length of stay between groups at 12 months favoured the intervention group (-2.18 days, 95% CI (-3.53 to -0.82)). CONCLUSION: Multi-level facilitation significantly improved escalation as per hospital policy at 6 months in the intervention group that was not sustained at 12 months. The intervention group had increased vital sign measurement by nurses, as well as shorter lengths of stay for patients at 12 months. Further research is required to understand the dose of facilitation required to impact clinical practice behaviours and patient outcomes. TRIAL REGISTRATION NUMBER: ACTRN12616000544471p.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.028 | 0.040 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".