Description of nurse practitioner functioning as most responsible provider in an intravenous therapy clinic
Bibliographic record
Abstract
BACKGROUND: IV antibiotic patients at the Strathcona Community Hospital were previously seen through the Strathcona emergency department (ED). This led to decreased patient satisfaction and increased wait times for these patients. PURPOSE: The purpose of this study was to describe a nurse practitioner (NP) functioning as the most responsible provider (MRP) in an intravenous therapy (IVT) clinic and to describe the benefits and services the clinic provides within a suburban community hospital setting. METHODS: Data were collected over a 5-year period from August 2015 to March 2019. Indicators included staff satisfaction, timely change in treatment modality, adherence to antimicrobial stewardship principles, appropriate triaging of IV iron referrals, and continuity of care. RESULTS: Results included patients being seen in the IVT clinic rather than reassessment in the ED, which were 23,573; and patient length of stay, with average length of stay being 4.8-4.9 days for skin and soft tissue infections. Patient survey conducted in 2015 showed an 89% satisfaction rate. CONCLUSIONS: Nurse practitioners functioning as MRP in an IVT clinic improve patient access to services, satisfaction, and provide appropriate medical care. IMPLICATIONS: The success of this clinical model provides evidence to support an increased presence of NPs as MRPs. A better understanding of the financial breakdown of these clinics may provide additional insight into the full benefit of NP-led clinics on our health care system as a whole.
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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 | 0.001 | 0.006 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.005 | 0.001 |
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".