Interprofessional teams with and without nurse practitioners and the level of adherence to best practice guidelines in cardiac surgery: A retrospective study
Bibliographic record
Abstract
AIM: To examine the level of adherence to best-practice guidelines of interprofessional teams with acute care nurse practitioners (ACNPs) compared to interprofessional teams without ACNPs. DESIGN: A retrospective observational study was conducted in 2023. METHOD: A retrospective cohort was created including 280 patients who underwent a coronary artery bypass graft and/or a valve repair and hospitalised in a cardiac surgery unit of a university affiliated hospital in Québec (Canada) between 1 January 2019 to 31 January 2020. The level of adherence to best-practice guidelines was measured from a composite score in percentage. The composite score was created from a newly developed tool including 99 items across six categories (patient information, pharmacotherapy, laboratory tests, post-operative assessment, patient and interprofessional teams' characteristics). Multivariate linear and logistic regression models were computed to examine the effect of interprofessional teams with ACNPs on the level of adherence to best-practice guidelines. RESULTS: Most of the patients of the cohort were male and underwent a coronary artery bypass graft procedure. Patients under the care of interprofessional teams with ACNP were 1.72 times more likely to reach a level of adherence higher than 80% compared to interprofessional teams without ACNPs and were 2.29 times more likely to be within the highest quartile of the scores for the level of adherence to best-practice guidelines of the cohort. IMPACT: This study provides empirical data supporting the benefits of ACNP practice for patients, interprofessional teams and healthcare organisations. RELEVANCE FOR PRACTICE: Our findings identify the important contributions of interprofessional teams that include ACNPs using a validated instrument, as well as their contribution to the delivery of high quality patient care. REPORTING METHOD: This study followed the Strengthening the Reporting of Observational Studies in Epidemiology (STROBE) Statement: Guidelines for reporting observational studies guidelines. PATIENT OR PUBLIC CONTRIBUTION: No patient or public contribution.
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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 | 0.015 | 0.016 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.002 |
| Insufficient payload (model declined to judge) | 0.000 | 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; 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".