Impact of Nurse Practitioner Role in Emergency Departments
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Background Overcrowding and long wait times in the emergency department (ED) have resulted in decreased patient satisfaction and quality of care. One of the solutions proposed to address wait times is the introduction of the nurse practitioner (NP) role in the ED. We present a systematic mixed studies review protocol that aims to gather and analyze available knowledge on the impact of the NP role in the ED on patients, other healthcare providers, and organizations. Methods The review will employ a mixed studies analysis approach. Data will be gathered from peer-reviewed and grey literature in English with no time limit. All international publications on the impact of NP role implementation that meets the inclusion criteria in the ED setting will be included. Each study will be appraised for quality using the mixed methods appraisal tool and data extracted by two independent authors. In the presence of conflict, a third author will provide a resolution. Study characteristics and findings will be synthesized using descriptive analysis, meta-analysis, and a three-stage thematic analysis approach. The review results will be presented using the PRISMA checklist for systematic reviews. Conclusions The systematic review will present current evidence on the impact of NP role implementation in the ED setting. The results are anticipated to support decisions and policymakers in their quest to decrease ED wait times and improve the quality of patient care in healthcare settings. Keywords: Nursing, Nurse Practitioner, Emergency Department, Patient Care, Systematic Review
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.001 |
| 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) | 0.012 | 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 it