A descriptive study of treatment provision for problem alcohol drinking in adult males in Khayelitsha, Cape Town, South Africa
Bibliographic record
Abstract
BACKGROUND: Poor, Black African males are underrepresented as patients in facilities that treat problem drinking in Cape Town, South Africa. Reasons for this remain unclear, but factors such as the kinds of treatment provided, perceptions of treatment efficacy, social stigma and traditional treatment beliefs have been suggested as possible barriers to treatment seeking. This descriptive study examined the availability and nature of problem drinking treatment facilities in Khayelitsha, a largely poor township of Black, Xhosa-speaking Africans, on the outskirts of Cape Town. METHODS: Seven treatment facilities for problem drinking in adult males were identified using data from the Department of Social Development in the City of Cape Town. Staff members were identified as key informants at each of the treatment facilities, and were interviewed using a structured questionnaire. Twelve interviews were conducted. RESULTS: Findings indicated that the available alcohol treatment facilities were relatively new, that treatment modalities varied both across and within treatment facilities, and that treatment was provided largely by social workers. Treatment facilities did not accommodate overnight stay for patients, operated during weekday office hours, and commonly referred patients to the same psychiatric hospital. DISCUSSION: The study provides a baseline for assessing barriers to treatment for problem drinking in Khayelitsha by highlighting the nature of available facilities as playing a predominantly screening role with associated social work services, and a point of referral for admission to a psychiatric institution for treatment. The social and financial implications of such referral are pertinent to the discussion of treatment barriers. CONCLUSIONS: Recommendations are made to inform policy towards locally-provided integrated care to improve treatment provision and access.
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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 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.001 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.003 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 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".