Family coaching during Spontaneous Awakening Trials and Spontaneous Breathing Trials (FamCAB): pilot study protocol
Bibliographic record
Abstract
INTRODUCTION: Many patients in the intensive care unit (ICU) require weaning from deep sedation (Spontaneous Awakening Trials, SATs) and mechanical ventilation (Spontaneous Breathing Trials, SBTs) in their journey to recovery. These procedures can be distressing for patients and their families. The presence of family members as 'coaches' during SATs/SBTs could provide patients with reassurance, reduce stress for patients and families and potentially improve procedural success rates. METHODS AND ANALYSIS: This study will be executed in two phases:Development of a coaching module: a working group including patient partners (i.e., former ICU patients or family members of former ICU patients), researchers, and ICU clinicians will develop an educational module on family coaching during SATs/SBTs (FamCAB). This module will provide families of critically ill patients basic information about SATs/SBTs as well as coaching guidance.Pilot testing: family members of ICU patients will complete the FamCAB module and provide information on: (1) demographics, (2) anxiety and (3) satisfaction with care in the ICU. Family members will then coach the patient through the next clinically indicated SATs and/or SBTs. Information around duration of time and success rates of SATs and/or SBTs (ability to conduct a complete assessment) alongside feedback will be collected. ICU clinical staff (including physicians and nurses) will be asked for feedback on practicality and perceived benefits or drawbacks of family coaching during these procedures. Feasibility and acceptability of family coaching in SATs/SBTs will be determined. DISCUSSION: The results of this work will inform whether a larger study to explore family coaching during SATs/SBTs is warranted. ETHICS AND DISSEMINATION: This study has received ethical approval from the University of Calgary Conjoint Health Research Ethics Board. Results from this pilot study will be made available via peer-reviewed journals and presented at critical care conferences on completion.
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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 | 0.032 | 0.020 |
| Meta-epidemiology (narrow) | 0.004 | 0.004 |
| Meta-epidemiology (broad) | 0.005 | 0.003 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.005 | 0.003 |
| Scholarly communication | 0.003 | 0.003 |
| Open science | 0.004 | 0.002 |
| Research integrity | 0.005 | 0.007 |
| Insufficient payload (model declined to judge) | 0.050 | 0.013 |
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".