Optimizing a Halfway House to Meet Mental Health Care Users’ Occupational Needs
Bibliographic record
Abstract
Background. Halfway houses (HwH) may support community reintegration of mental health care users and can be effective in meeting occupational needs of residents. However, they are not optimally used in South Africa. Purpose. This study aimed to improve the functioning of a HwH so that it better meets occupational needs of the resident mental health care users. It draws on Doble & Santha ( 2008 ); seven occupational needs. Method. A four-phase Participatory Action Research methodology was used. We conducted thematic analysis to describe met and unmet needs within PAR phases. Findings. Occupational needs of accomplishment, renewal, pleasure and companionship were being met. However, coherence, agency and affirmation needs were not being met. An additional occupational need for interdependence, based on the African ethic of Ubuntu, was identified. Implications. HwH functioning affected residents’ experiences of health and wellbeing. Engagement in collective occupations can contribute to meeting the occupational need of interdependence.
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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 | 0.002 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.004 | 0.001 |
| Scholarly communication | 0.001 | 0.002 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.009 | 0.001 |
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".