A unique practice model for Nurse Practitioners in long‐term care homes
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
AIM: This paper is a report of a study examining a practice model for Nurse Practitioners (NPs) working in long-term care (LTC) homes and its impact on staff confidence, preventing hospital admission, and promoting early hospital discharge. BACKGROUND: The recent introduction of NPs in LTC homes in Ontario, Canada, provided an opportunity to explore unique practice models. In a pilot project, two full-time equivalent NPs provided primary care to a consortium of 22 homes serving approximately 2900 residents. The practice model was based on the specific needs of the homes and residents. METHODS: The NPs working in this project prospectively collected data (from July 2003 until June 2004) on their clinical activities and resident outcomes. Directors of Care (n = 18) of the participating homes completed a questionnaire (March 2004) assessing the impact on prevention of hospitalization and staff confidence. FINDINGS: The NPs had 2315 clinical contacts in the 1-year period; the majority (64%) were follow-up contacts. Many contacts were for uncomplicated medical problems or more complex but straightforward medical issues, and had positive outcomes. Hospital admission was prevented in 39-43% of cases. NPs had a positive impact on improving staff confidence, but no impact on facilitating early discharge from hospital. CONCLUSION: Practice models designed to meet the distinctive needs of LTC homes and residents can enhance quality of care, even with low NP:resident ratios. Participation of key stakeholders in the identification of care priorities and planning contributed to the success of this model.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.002 |
| 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 it