Health system barriers to implementation of collaborative TB and HIV activities including prevention of mother to child transmission in South Africa
Bibliographic record
Abstract
In South Africa, the control of TB and HIV co-infection remains a major challenge despite the availability of international and national guidelines for integration of TB and HIV services. This study was undertaken in KwaZulu-Natal, one of the provinces most affected by both TB and HIV, to identify and understand managers' and community care workers' (CCWs) perceptions of health systems barriers related to the implementation of collaborative TB/HIV activities, including prevention of mother to child transmission of HIV (PMTCT). We conducted 29 in-depth interviews with health managers at provincial, district and facility level and with managers of NGOs involved in TB and HIV care, as well as six focus group discussions with CCWs. Thematic analysis of transcripts revealed a convergence of perspectives on the process and the level of the implementation of policy directives on collaborative TB and HIV activities across all categories of respondents (i.e. province-, district-, facility- and community-based organizations). The majority of participants felt that the implementation of the policy was insufficiently consultative and that leadership and political will were lacking. The predominant themes related to health systems barriers include challenges related to structure and organisational culture; management, planning and power issues; unequal financing; and human resource capacity and regulatory problems notably relating to scope of practice of nurses and CCWs. Accelerated implementation of collaborative TB/HIV activities including PMTCT will require political will and leadership to address these health systems barriers.
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.
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 | 0.005 | 0.010 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.005 | 0.002 |
| Scholarly communication | 0.003 | 0.001 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.001 | 0.001 |
| 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".