Utilization of RNTCP services in rural areas of Bellary District, Karnataka, by gender, age and distance from health centre.
Bibliographic record
Abstract
BACKGROUND: Knowledge on utilization pattern of RNTCP shall provide important inputs towards its strengthening in rural areas. AIMS: To find out the utilization of RNTCP services by age, sex and distance from residence to designated microscopy centres and treating health centres. METHODS: The study was carried out in Sandur TU of Bellary District, Karnataka. Information on age, sex and residence of persons with pulmonary symptoms and detected new sputum smear positive cases during third quarter 2003 to second quarter 2004; and their treatment outcome was obtained from the respective RNTCP records. Age and sex distribution of out-patients was collected from OPD registers of one randomly selected DMC and its PHCs. RESULTS: A lesser number of males accessed the health care services. However, larger number of males with pulmonary symptoms and new sputum smear positive cases utilized RNTCP services than females in the ratio of 1.6:1 and 2.5:1 respectively. This was due to higher prevalence of persons with pulmonary symptoms and sputum positivity rate among males. Sputum positivity rates were also lower among the elderly. Male symptomatics and cases were on an average older than females. About 70% symptomatics and 53% cases resided at more than four kilometers from the respective DMCs and treating health centres. Treatment outcome was poorer among males with higher proportion of initial defaulters and among those residing at more than 20 kms. CONCLUSION: There is need to make health services available to the male working population at convenient hours and to be more vigilant to screen persons with pulmonary symptoms among the elderly. Collection of sputum specimen from eligible persons may be undertaken at PHCs which may later be transported to DMC. Supervision and motivation of treatment for male TB cases and those residing more than 20 kms from the treating health centres requires to be strengthened.
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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 | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 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".