Evaluation of a nurse mentoring intervention to family caregivers in the management of delirium after cardiac surgery (MENTOR_D): a study protocol for a randomized controlled pilot trial
Bibliographic record
Abstract
BACKGROUND: Despite the use of evidence-based preventive measures, delirium affects about 40% of patients following cardiac surgery with the potential for serious clinical complications and anxiety for caregivers. There is some evidence that family involvement as a core component of delirium management may be beneficial since familiarity helps patients stay in contact with reality, however, this merits further investigation. There is also currently a gap in the scientific literature regarding objective indicators that could enhance early detection and monitoring of delirium. Therefore, this randomized pilot trial examines the acceptability, feasibility, and preliminary efficacy of an experimental nursing intervention to help family caregivers manage post-cardiac surgery delirium in their relatives. It also explores the validity of a new and innovative measure that has potential as an indicator for delirium. METHODS/DESIGN: In this two-group randomized pilot study (n = 30), the control group will receive usual care and the intervention group will receive the experimental intervention aimed at reducing delirium severity. The intervention nurse's objective will be to foster the family caregiver's self-efficacy in behaving in a supportive manner during delirium episodes. Data will be collected from standard delirium assessment scales and a novel measure of delirium, i.e., cerebral oximetry obtained using near infrared spectroscopy, as well as medical records and participants' responses to questionnaires. DISCUSSION: New strategies for early detection, monitoring, and management of delirium are needed in order to improve outcomes for both patients and families. The present article exposes feasibility issues based on the first few months of the empirical phase of the study that may be useful to the scientific community interested in improving the care of patients with delirium. Another potentially important contribution is in the exploration of cerebral oximetry, a promising measure as an objective indicator for early detection and continuous monitoring of delirium. The proposed pilot study will build towards a larger trial with the potential to improve knowledge about delirium management and monitoring. TRIAL REGISTRATION: This pilot study was registered at Controlled Trials on March 27th 2013 and was assigned #ISRCTN95736036.
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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 | 0.067 | 0.038 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.003 | 0.001 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| 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 itClassification
machine, unvalidatedMachine predicted; both teacher heads agree on what is shown here.
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".