Integration of nurse practitioners into a family health network.
Bibliographic record
Abstract
A randomized controlled study called Anticipatory and Preventative Team Care (APTCare) explored a new role for nurse practitioners (NPs) within a multidisciplinary team. The aim of the study was to evaluate whether integrating NPs and a pharmacist was an effective approach for the management of patients living with multiple chronic illnesses. Over an 18-month period, three part-time NPs and a pharmacist became part of a rural Family Health Network (FHN). They established relationships with study patients and collaborated to provide optimum care. Each NP had 40 patients, all of whom received care in the home. Study results showed that an initial home visit was invaluable for establishing a care plan, developing a relationship with the patient and assessing the home environment. Ongoing monitoring at home, however, was found to be an inefficient use of the NP role. By the end of the study, all clinicians agreed that the NP role had been successfully integrated into the multidisciplinary team.
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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 | 0.004 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| 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".