Targeted Neonatal Echocardiography Performed by Nurse Practitioners in the NICU
Bibliographic record
Abstract
BACKGROUND: Targeted neonatal echocardiography (TNE) and hemodynamic consultation have typically been performed by physicians. The Stollery Children's Hospital neonatal intensive care unit (NICU) expanded their TNE training program to include neonatal nurse practitioners (NNPs), the first in North America. PURPOSE: This study examines the thoughts and perceptions of clinicians about the incorporation of NNPs providing TNE and hemodynamic consultation and investigates key facilitators and challenges for consideration when planning future training, expansion of service in Edmonton, or beyond. METHODS: In this descriptive study using qualitative methodology, purposive sampling was used to invite NICU clinicians to participate. Using a semistructured topic guide, a focus group and 2 individual interviews were conducted. RESULTS: Participants were supportive of NNPs. Advantages included increased access to service, acquisition and retention of skills, provision of patient-centered care, and leveraged interpersonal relationships in the decision-making process. Key aspects of program expansion included climate and culture of the NICU, presence of adequate patient volume, and resources to support training. IMPLICATIONS FOR PRACTICE AND RESEARCH: Support across disciplines and the collaborative working nature of the NICU are key factors in the success of the program's development and implementation. Benefits of having NNPs on the TNE team were clearly expressed. Benefits to the health system included rapid access to hemodynamic information allowing for care based on specific pathophysiology and additional local capacity to perform TNE and reducing demand on other trained providers. Additional research could consider parental views of NNPs performing TNE and hemodynamic consultation as well as the accuracy of diagnosis between the NNPs and physician group.
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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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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".