Improving access and quality of palliative care in Kerala: A cross-sectional study of providers in routine practice
Bibliographic record
Abstract
BACKGROUND: Expanding access and improving quality of palliative care in low-middle income countries is a pressing priority. OBJECTIVE: The objective of the study was to describe structure and processes of care across government (GO) and non-GO (NGO) palliative care providers (PCPs) in Kerala, India. DESIGN: This was a cross-sectional telephone survey. SETTING/SUBJECTS: This study consisted of 200 randomly selected PCPs across Kerala. The survey explored organizational structure, patient assessment, opioid availability, and explored elements considered essential to palliative care delivery in the Indian context. RESULTS: < 0.001). CONCLUSIONS: Caution is needed against potential challenges to quality care in any new initiative. Kerala has achieved remarkable success in the coverage of palliative care through hundreds of locally active NGOs through GO machinery involving every primary health center. Yet, there are gaps such as absence of full-time physicians. This study highlights the need for periodic review to identify gaps in care.
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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 | 0.001 | 0.006 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| 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".