Mismanagement of tuberculosis in India: Causes, consequences, and the way forward
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
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.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| 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 it