Reflecting on models of Care for Rehabilitation for People Living with HIV in South Africa
Bibliographic record
Abstract
Public health approaches need to include prevention, curative treatment, support and rehabilitation. In the context of HIV major mile stones have been achieved with regards to prevention and treatment. PLHIV survive however this comes with new experiences of disablement and this poses new challenges to health and rehabilitation professionals. Well- resourced countries such as Canada have developed rehabilitation approaches in the context of HIV to guide rehabilitation. Resource poor settings lack feasible approaches and disability poses a threat to public health and Anti-retroviral treatment adherence. The current response to HIV in resource poor settings need to integrate disability into its model of care in a feasible and effective way. A Learning in Action Approach was adopted to develop a model to guide rehabilitation within a resource poor setting. An interpretive phenomenological exploration of key stakeholders including PLHIV, the multi-disciplinary healthcare team and community outreach partners at a semi-rural hospital in South Africa initiated the development of the model.
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How this classification was reachedexpand
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 | 0.000 | 0.000 |
| 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 | 0.000 |
| 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, 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".