Exploring Early Mobilization Practices in Adult Intensive Care Units in Jordan: A Cross-Sectional Survey
Bibliographic record
Abstract
Background: Prolonged immobilization in critically ill patients in the intensive care unit (ICU) is associated with adverse health outcomes, such as ICU-acquired weakness (ICU-AW), pressure ulcers, and decreased cardiopulmonary function. Early mobilization has been shown to be an important intervention to mitigate these effects; however, there is limited information regarding its implementation in ICUs in Jordan. This study aimed to explore early mobilization practices in adult ICUs in Jordan and identify common strategies employed by healthcare professionals. Methods: An observational, cross-sectional survey was conducted among healthcare professionals working in various ICUs across Jordan. A structured online questionnaire collected data on participants' demographics, patient selection criteria for early mobilization, and early mobilization practices. Descriptive and inferential statistics (Kruskal‒Wallis, Mann‒Whitney, Chi‒square, and Fisher's exact tests) were used, with significance at p < 0.05. Results: A total of 200 surveys were completed, primarily from physiotherapists (34.5%) and nurses (21%). The most common early mobilization strategies reported were positioning (19.3%), active mobilization (14.4%), and passive mobilization (13.1%). The majority of respondents combined early mobilization with secretion drainage activities. Respiratory stability was the most frequently cited criterion for determining patient eligibility. A significant proportion of respondents (36%) reported the absence of standardized protocols for early mobilization in their ICUs. Conclusion: Early mobilization is recognized among healthcare professionals in Jordan as an essential practice in ICUs, but there are variations in its implementation and a lack of standardized protocols. These findings highlight the need for clear guidelines and training initiatives to support consistent practice. Future research should investigate barriers to early mobilization, particularly in high-risk populations, to improve outcomes in critically ill patients.
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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 | 0.001 | 0.039 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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".