The nature of telephone nursing interventions in a heart failure clinic setting.
Bibliographic record
Abstract
BACKGROUND: There is a lack of published data about the nature of nursing interventions that are required to provide telephone management for patients with heart failure (HF). PURPOSE: The nature of patient issues, telephone nursing interventions, and associated workload at one HF clinic are described in this study. METHODS: Workload was captured using a computerized workload measurement tool. An electronic telephone log categorizing nursing interventions as providing education, changing medication doses, ordering diagnostic tests and consulting with community health care providers, and the scope of practice required to complete the intervention was kept. RESULTS: Nurses spent 24% of their working hours doing 1914 telephone visits in one year. Medications were changed 583 times and diagnostic tests were ordered 207 times. Nurses initiated 65% of calls; others were received from patients, family members, and other health care providers. CONCLUSION: A combination of nurse practitioners and registered nurses with medical directives can address the issues that commonly arise through telephone management of HF patients.
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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 | 0.005 | 0.049 |
| 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 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.000 |
| Insufficient payload (model declined to judge) | 0.003 | 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".