Development and scaling up of a psychological intervention for common mental disorders among people living with HIV in Zimbabwe
Bibliographic record
Abstract
Common mental disorders (CMD) which primarily include depression, anxiety disorders and mixed anxiety depression are leading causes of disability in sub-Saharan Africa. They are particularly common in people living with HIV (PLWH) and may hasten HIV disease progression. This thesis consists of 5 articles which have been submitted for publication and provide evidence on the requirements for developing a psychological intervention to be delivered by lay health workers (LHW) and a strategy for scaling up this intervention to over 50 primary health care clinics in Harare, Zimbabwe. The thesis formed part of formative research leading to a cluster randomized controlled trial(RCT) of a psychological intervention and provides supplementary research to the RCT to support the scale up of the intervention. The first chapter describes the magnitude of the problem and the lack of resources to reduce the treatment gap for CMD. It highlights the growing evidence of using Lay Health Workers (LHW) to reduce this treatment gap.
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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 | 0.005 | 0.007 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.004 | 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".