Interprofessional Survey of Perceived Barriers and Facilitators to Early Mobilization of Critically Ill Patients in Montreal, Canada
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
OBJECTIVE: Early mobilization is safe, feasible, and associated with better outcomes in patients with critical illness. However, barriers to mobilization in clinical practice still exist. The objective of this study was to assess the knowledge and practice patterns of intensive care unit (ICU) clinicians, as well as the barriers and facilitators to early mobilization. DESIGN: Cross-sectional survey. SETTING: Intensive care units of 3 university-affiliated hospitals in Montreal, Canada. PARTICIPANTS: One hundred and thirty-eight ICU clinicians, including nurses, physicians, respiratory therapists, and physiotherapists. INTERVENTIONS: None. MEASUREMENTS: Perceived barriers, facilitators, knowledge, and practice patterns of early mobilization were assessed using a previously validated mobility survey tool. MAIN RESULTS: The overall response rate was 50.0% (138 of 274). Early mobilization was not perceived as a top priority in 49% of respondents. Results showed that clinicians were not fully aware of the benefits of early mobilization as per the current literature. About 58% of clinicians did not feel well trained and informed to mobilize mechanically ventilated patients. Perceptions on patient-level barriers varied with clinicians' professional training, but there was a high degree of interprofessional and intraprofessional disagreement on the permissible maximal level activity in different scenarios of critically ill patients. CONCLUSIONS: Our survey shows limited awareness, among our respondents, of the clinical benefits of early mobilization and high level of disagreement on the permissible maximal level of activity in the critically ill patients. Future studies should evaluate the role of knowledge translation in modifying these barriers and improving early mobilization.
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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 | 0.000 | 0.305 |
| 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 | 0.001 |
| 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 it