Mismanagement of tuberculosis in India: Causes, consequences, and the way forward
Bibliographic record
Abstract
India leads the world in its burden of tuberculosis (TB) due to the neglect of TB as a public health problem, and mismanagement of TB patients in both public and private sectors. The original National Tuberculosis Programme (NTP) failed because of low rates of case detection and cure. The Revised National Tuberculosis Control Program (RNTCP) has reversed these trends in the public sector, with expanded access to improved diagnosis, short-course regimens and high cure rates. The RNTCP is yet to adequately address the challenge of drug resistant TB. The private sector in India, which manages more than half of all TB patients, is a continuing source of mismanagement of TB, and is largely outside the scope of the RNTCP. Diagnostic and treatment practices in the private sector are often not evidence based. As RNTCP enters its new phase (2012 - 2017), there is an urgent need to engage, incentivize and integrate the private sector into national TB control, to facilitate universal access and to curb mismanagement of TB which threatens India's TB control efforts.
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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 | 0.002 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.003 |
| Science and technology studies | 0.001 | 0.004 |
| Scholarly communication | 0.005 | 0.003 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.002 | 0.003 |
| Insufficient payload (model declined to judge) | 0.003 | 0.001 |
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".