Delivering non-communicable disease services through primary health care in selected south Asian countries: are health systems prepared?
Bibliographic record
Abstract
In the south Asian region, delivering non-communicable disease (NCD) prevention and control services through existing primary health-care (PHC) facilities is urgently required yet currently challenging. As the first point of contact with the health-care system, PHC offers an ideal window for prevention and continuity of care over the life course, yet the implementation of PHC to address NCDs is insufficient. This review considers evidence from five south Asian countries to derive policy-relevant recommendations for designing integrated PHC systems that include NCD care. Findings reveal high political commitment but poor multisectoral engagement and health systems preparedness for tackling chronic diseases at the PHC level. There is a shortage of skilled human resources, requisite infrastructure, essential NCD medicines and technologies, and dedicated financing. Although innovations supporting integrated interventions exist, such as innovations focusing on community-centric approaches, scaling up remains problematic. To deliver NCD services sustainably, governments must aim for increased financing and a redesign of PHC service.
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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 | 0.004 | 0.007 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.002 | 0.002 |
| Bibliometrics | 0.002 | 0.004 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.002 | 0.002 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| 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".