COMMUNITY PERCEPTIONS AND KNOWLEDGE OF MENTAL ILLNESS IN THE RURAL KISUMU REGION OF KENYA
Bibliographic record
Abstract
Objective: The Global Health Initiative (GHI) at the University of British Columbia collaborated with the NGO, Kenya Partners in Community Transformation (PCT), to explore community knowledge, beliefs and practices surrounding mental health and illness in the rural Kisumu region. Methods: Five focus group discussions (FGDs) were held in three rural communities within the Kisumu region. Demographic groups surveyed included: women (n=54), men (n=14), and Community Health Workers (CHWs; n=36). Focus groups probed community mental health knowledge and included case–based vignettes describing presentations of mental illnesses as outlined in the Diagnostic and Statistical Manual of Mental Disorders, 5th Edition. Results: Participant responses on mental health and mental illness definitions were generally well understood; however, stigmatizing perceptions were present among community members an CHWs. Medical–based etiologies and treatment were rarely suggested for psychiatric illness, and CHWs did not identify themselves as a resource for mental illness cases. Significant barriers to accessing mental healthcare exist in the area, including stigma, financial strain, and long distances to care centers. Conclusion: Overall, FGDs with community members and CHWs indicated education on mental health was limited. Qualitative data gathered will be used to tailor WHO mental health modules to meet the unique needs of CHWs living in the rural Kisumu region of Kenya.
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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 | 0.003 | 0.001 |
| 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 | 0.002 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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".