Integration of tuberculosis and prevention of mother-to-child transmission of HIV programmes in South Africa
Bibliographic record
Abstract
SETTING: One of the rural districts in KwaZulu-Natal Province, the epicentre of the human immunodeficiency virus (HIV) and tuberculosis (TB) epidemics in South Africa. OBJECTIVES: To assess the integration of TB services into the prevention of mother-to-child transmission of HIV (PMTCT) programme and identify barriers to the integration of services. DESIGN: Cross-sectional survey using exit interviews with pregnant women attending 10 antenatal care (ANC) clinics. Review of ANC PMTCT facility routine data. Qualitative interviews with 26 key informants on barriers to integration of TB-PMTCT services. RESULTS: Of 150 women interviewed, 112 (75%) reported being educated on TB symptoms on the day of their visit; 56% were screened for TB symptoms and 27% were suspected to have TB; 26 (17%) women were HIV-positive and 2 (8%) were co-infected with TB. There was no record of provision of isoniazid prophylaxis for PMTCT clients with latent tuberculous infection. The predominant barriers to the integration of TB-PMTCT services included lack of skilled providers and their supervision, the physical layout of the TB-PMTCT services and the service delivery mechanisms. CONCLUSION: The integration of TB prevention and care into the PMTCT programme was inadequate. Integration of TB services into the ANC PMTCT programme will require strong leadership to address barriers such as training gaps, lack of supervision and service delivery mechanisms.
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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 | 0.001 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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".