ICU Care Team’s Perception of Clinical Research in the ICU: A Cross-Sectional Study
Bibliographic record
Abstract
OBJECTIVES: Adequate recruitment is essential for successful clinical research. ICU nurses play a crucial role in identifying eligible patients, introducing research teams, facilitating informed consent, and caring for enrolled patients. However, a larger group of multidisciplinary healthcare professionals (the ICU care team) is equally important in promoting clinical research participation.To describe the ICU care team's experiences in ongoing clinical research, identifying perceived barriers and enablers to their participation, and apply a behavior framework to enhance research engagement. DESIGN: Cross-sectional survey study. SETTING: Four adult ICUs and one PICU between June 2021 and March 2023. SUBJECTS: We recruited nurses, physicians, nurse practitioners, allied health professionals, and unit clerks. MEASUREMENT AND MAIN RESULTS: = 13).A total of 172 ICU care team members completed the survey. Results showed differences in capabilities, opportunities, and motivations among ICU care team members. For example, fellow/attending physicians and nurse practitioners reported higher confidence in discussing research with patients/families, while registered nurses and allied health professionals expressed less confidence. CONCLUSIONS: ICU care team members face multiple barriers that impact their involvement with the conduct of ICU research. To effectively engage healthcare professionals in this process, it is essential to address their capabilities (research knowledge and skills to communicate research with patients/families), create opportunities (collaboration/communication with research team, discuss research during multidisciplinary rounds), and motivate them (recognize their help and share the results of the research being conducted at their site) to improve ICU care team engagement in the conduct of ICU research.
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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 | 0.009 | 0.007 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.002 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.002 |
| 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 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".