A novel nurse-coordinated home care model for palliative care in advanced cancer: A pilot interventional study from suburban Mumbai
Bibliographic record
Abstract
Background Demand for home-based health care services has increased considerably in India. Traditionally, home-based care services are physician-led which puts pressure on the understaffed healthcare sector. This study aims to pilot a new model, the Nurse coordinated Home Care (NCHC) service in suburban Mumbai (India).Methods In this pilot interventional study, 101 patients with advanced cancer along with their caregivers were enrolled over 16 months. The nurse coordinator (NC) administered study questionnaires every month. Follow-up visits were based on case severity. Local general practitioners (LGPs) were identified and involved in patient care.Results Severe Edmonton Symptom Assessment System (ESAS) symptoms were reduced by >2 points in 4 out of 7 instances (57.1%). The number of physician visits was lesser than NC visits (162 vs 341), home deaths were more than hospital deaths (57 vs 14), study retention rate was 99%, 87.5% LGPs participated, 98% of questionnaires were returned. Satisfaction on FAMCARE-2 showed a maximum score of ‘Satisfied’, caregiver burden in ZBI was little/no for 95%, mean scores for ESAS pain was 2, PPSv2 score was 70%−100% for the majority, mean scores on EORTC QLQ-C15-PAL were 77 - Functional scales, 21.5 - Symptom scales, and 64.3 - Global health status/quality of life. NCHC median intervention costs per patient were less than usual care (₹2049.50 vs ₹11490.09).Conclusion A home care service model that includes nurse coordination and case management streamlines access to healthcare services and resources while reducing the cost of care along with reduced caregiver burden, with increased levels of satisfaction.
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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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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".