Impact of the Continuity of Nursing Care Delivered by a Pivot Nurse in Oncology on Improving Satisfaction and Quality of Life of Patients With Advanced Lung Cancer
Bibliographic record
Abstract
Background: Health care organizations around the globe have been implementing different strategies aimed at improving their care systems to obtain better patient–physician interaction and resolve underlying issues leading to patient dissatisfaction. In an effort to improve continuity of care inside a network of interdisciplinary teams, the Ministry of Health and Social Services of Québec has implemented the recruitment of pivot nurses in oncology services. Aim: To determine whether continuous nursing care for lung cancer patients, compared with standard care, yields more improvements in terms of patient satisfaction and quality of life. Methods: This study was conducted at the Notre Dame University Hospital in Montreal. Patients were selected from the outpatient admissions' list, three months after the start of their treatment, and divided into two cohorts: the continuity of care (CC) cohort, where patients were followed by a PNO, and the usual care (UC) cohort, who received standard care from the oncology clinic staff. Participants in both groups completed the Princess Margaret Hospital Patient Satisfaction with Doctor Questionnaire (PMH/PSQ-MD), the FACT-L Scale for quality of life assessment and questions evaluating the understanding of their health status and disease. Another ten questions were dressed specifically to the CC in regards to nursing care and the health care system in Quebec. Results: The current study has shown a significant impact of implicating a PNO in the care of patients with advanced lung cancer. Patients in the CC cohort displayed better quality of life assessment scores and expressed higher levels of satisfaction compared with their peers in the UC cohort. Other variables examined revealed an adequate fulfillment of the PNO role as regarded by the participants, except for matters of an intimate nature. Conclusion: The PNO appears to have an substantial role in the care of patients with advanced lung cancer. Continuity of care seems to improve patients' quality of life and satisfaction by reducing the symptom strain experienced by ambulatory 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 | 0.001 | 0.004 |
| 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 | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| 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".