Outcomes associated with nurse practitioners in collaborative practice with general practitioners in rural settings in Canada: a mixed methods study
Bibliographic record
Abstract
BACKGROUND: The formalized nurse practitioner (NP) role in British Columbia is relatively new with most roles implemented in primary care. The majority of primary care is delivered by physicians using the fee-for-service model. There is a shortage of general practitioners associated with the difficulties of recruitment and retention, particularly in rural and remote locations. The uptake of the primary care NP role has been slow due to challenges in understanding the extent of its contributions. This study aims to identify the outcomes associated with the NP role in collaborative primary care practice. METHODS: Three case studies where NPs were embedded into rural fee-for-service practices were undertaken to determine the outcomes at the practitioner, practice, community, and health services levels. Interviews, documents, and before and after data, were analyzed to identify changes in practise, access, and acute care service utilization. RESULTS: The results showed that NPs affected how care was delivered, particularly through the additional time afforded each patient visit, development of a team approach with interprofessional collaboration, and a change in style of practise from solo to group practise, which resulted in improved physician job satisfaction. Patient access to the practice improved with increased availability of appointments and practice staff experienced improved workplace relationships and satisfaction. At the community level, access to primary care improved for harder-to-serve populations and new linkages developed between the practice and their community. Acute care services experienced a statistically significant decrease in emergency use and admissions to hospital (P = 0.000). The presence of the NP improved their physician colleagues' desire to remain in their current work environment. CONCLUSIONS: This study identified the diversity of needs that can be addressed by the NP role. Namely, the importance of time to enhance patient care and its associated benefits, especially in the fee-for-service model; the value of the NP's role in the community; the acceptance of the clinical competence of NPs by their physician colleagues; the outcomes generated at the practice level in terms of organizational effectiveness and service provision; and substantiated the impact of the role in improving primary care access and reducing acute care utilization.
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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 | 0.006 | 0.010 |
| Meta-epidemiology (narrow) | 0.000 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.004 |
| Science and technology studies | 0.005 | 0.001 |
| Scholarly communication | 0.003 | 0.001 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 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 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".