Evaluation of Nurses’ Perceptions on Providing Patient Decision Support with Cardiopulmonary Resuscitation
Bibliographic record
Abstract
The decision whether to receive cardiopulmonary resuscitation (CPR) is a decision in which the personal values of the patient must be considered along with information about the risks and benefits of the treatment. A decision aid can be used to provide patient decision support to a patient who is seriously ill and needs to consider CPR options. The goal of this project was to identify the barriers and facilitators to using a CPR decision aid, through evaluating nursing perceptions on providing patient decision support. Using a needs assessment, it was determined that implementing a patient decision aid for CPR status in the Acute Monitor Area (AMA) of The Ottawa Hospital would be an excellent quality improvement project. The nurses who chose to participate were given an education session regarding patient decision support. Questionnaires were distributed to evaluate their views of patient decision support and decision aids before and after the education session and implementation of the CPR decision aid. Questionnaire results did not indicate a significant change between before or after education session and decision aid implementation. Qualitative reports did indicate that nurses generally have positive attitudes toward patient decision support and decision aids. The nurses identified specific barriers and facilitators in their commentaries. This clinically relevant data supports the idea that patient decision support should be integrated into daily nursing practice.
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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 | 0.019 | 0.054 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.001 | 0.002 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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".