Evaluating the influence of primary healthcare nurse practitioners' interventions in home care on hospitalizations and emergency department transfers
Bibliographic record
Abstract
RATIONALE: Home care allows patients with functional limitations to receive services at home and prevent health decline. Home care can reduce hospitalization and emergency department (ED) transfers. Integrating primary healthcare nurse practitioners (PHCNPs) in home care increases the supply of services, but little is known about their influence on patients' ability to remain at home. AIMS AND OBJECTIVES: Evaluate the influence of PHCNPs' interventions on hospitalizations and ED transfers in patients receiving care from interprofessional home care teams with PHCNPs. METHOD: The retrospective cohort study employed multiple logistic regression and Cox modelling techniques to assess the influence of PHCNP interventions on hospitalizations and ED transfers. Descriptive and bivariate analyses examined sample characteristics and variable associations. Four purposively selected sites in Québec, Canada, were included. Data were collected from electronic health records of all patients (n = 343) receiving home care from these teams. RESULTS: The characteristics of the sites, sample, and PHCNP interventions were described. Planned interventions led to a 5.8% decrease in hospitalizations and ED transfers (adjusted odds ratio [OR]: 0.058, p = 0.039), while unplanned interventions resulted in a 1.5-fold increase in this outcome (adjusted OR: 1.518, p < 0.001). The risk of hospitalization and ED transfers increased by 10.7 times with unplanned interventions (adjusted OR: 10.651, p = 0.002). Furthermore, imaging was associated with a 2-fold increased risk (adjusted OR: 1.954, p = 0.021), consultations with a 1.8-fold increased risk (adjusted OR: 1.849, p = 0.034), and laboratory test-related interventions after 30 or more days reduced the risk by 68.0% (adjusted OR: 0.320, p < 0.001). CONCLUSIONS: PHCNPs in interprofessional home care teams show promise in reducing hospitalizations and ED transfers through planned visits. These findings provide valuable insights that can contribute to enhancing home care services for a population with limited access to healthcare and high healthcare needs. Further research is needed in other jurisdictions.
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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 | 0.011 | 0.047 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.001 |
| 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".