Current practices and barriers impairing physicians’ and nurses’ adherence to analgo-sedation recommendations in the intensive care unit - a national survey
Bibliographic record
Abstract
INTRODUCTION: Appropriate management of analgo-sedation in the intensive care unit (ICU) is associated with improved patient outcomes. Our objectives were: a) to describe utilization of analgo-sedation regimens and strategies (assessment using scales, protocolized analgo-sedation and daily sedation interruption (DSI)) and b) to describe and compare perceptions challenging utilization of these strategies, amongst physicians and nurses. METHODS: In the 101 adult ICUs in Belgium, we surveyed all physicians and a sample of seven nurses per ICU. A multidisciplinary team designed a survey tool based on a previous qualitative study and a literature review. The latter was available in paper (for nurses essentially) and web based (for physicians). Topics addressed included: practices, perceptions regarding recommended strategies and demographics. Pre-testing involved respondents' debriefings and test re-test reliability. Four reminders were sent. RESULTS: Response rate was 60% (898/1,491 participants) representing 94% (95/101) of all hospitals. Protocols were available to 31% of respondents. Validated scales to monitor pain in patients unable to self-report and to monitor sedation were available to 11% and 75% of respondents, respectively. Frequency of use of sedation scales varied (never to hourly). More physicians than nurses agreed with statements reporting benefits of sedation scales, including: increased autonomy for nurses (82% versus 68%, P < 0.001), enhancement of their role (84% versus 66%, P < 0.001), aid in monitoring administration of sedatives (83% versus 68%, P < 0.001), and cost control (54% versus 29%, P < 0.001). DSI was used in less than 25% of patients for 75% of respondents. More nurses than physicians indicated DSI is contra-indicated in hemodynamic instability (66% versus 53%, P < 0.001) and complicated weaning from mechanical ventilation (47% versus 29%, P < 0.001). Conversely, more physicians than nurses indicated contra-indications including: seizures (56% versus 40%, P < 0.001) and refractory intracranial hypertension (90% versus 83%, P < 0.001). More nurses than physicians agreed with statements reporting DSI impairs patient comfort (60% versus 37%, P < 0.001) and increases complications such as self-extubation (82% versus 69%, P < 0.001). CONCLUSIONS: Current analgo-sedation practices leave room for improvement. Physicians and nurses meet different challenges in using appropriate analgo-sedation strategies. Implementational interventions must be tailored according to profession.
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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 | 0.005 | 0.010 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 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".