Strengthening accountability for TB policy implementation in South Africa: perspectives from policymakers, civil society and communities
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
<title>Abstract</title> <bold>Background</bold> Translating health policy into effective implementation is a core priority for responding effectively to the TB crisis. The national TB Recovery Plan was developed in response to the negative impact that the COVID-19 pandemic had on TB care in South Africa. We aimed to explore the implementation of the TB Recovery Plan and develop recommendations for strengthening accountability for policy implementation for this and future TB policies. <bold>Methods</bold> We interviewed 24 participants working on or impacted by TB policy implementation in South Africa. This included perspectives from national, provincial, and local health department representatives, civil society, and community representatives. In-depth interviews were conducted in English and isiXhosa and we drew on reflexive thematic methods for analysis. <bold>Results</bold> Implementation of the TB Recovery Plan predominantly used a top-down approach to implementation (cascading from national policy to local implementers) but experienced bottlenecks at provincial level. Civil society organisations were concerned about the lack of provincial implementation data which impeded advocacy for better accountability. There was strong interest in community-led monitoring for local TB policy implementation from community representatives. Participants recommended broader multi-stakeholder engagement regarding TB as a public health priority and on new policies in the development and implementation phases. <bold>Conclusion</bold> Communities affected by TB, with the support of civil society organisations, could play a bigger role in monitoring policy implementation at local level and need to be capacitated to do this. This bottom-up approach could complement existing top-down strategies and contribute to greater accountability for TB policy implementation.
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 | 0.003 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| 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