Mental Health Literacy among Family Caregivers of Schizophrenia Patients
Bibliographic record
Abstract
The benefits of public knowledge towards physical health are widely accepted but the area of mental health literacy remains undervalued and relatively neglected. The study aimed to identify caregivers’ mental health literacy in Malaysia. There were 154 family caregivers participated in the face-to-face semi-structured interview regarding their personal caring experiences. This study found that majority of the caregivers was women aged less than 60 years. Most of the caregivers have some understanding about their relatives’ mental illness. More than half of the participants found that the doctors were considered as their primary source of information about mental health. Consistent with previous literature in Malaysia, most of the caregivers used religious and traditional coping mechanism in their help-seeking processes. Each ethnic group had their own strong cultural beliefs about mental illness. The implications for mental health services are that many of the caregivers need help to educate their family members about mental illness. While this study emphasized on the family members who should be targeted to improve mental health literacy it also become significant to the public to reduce stigma towards the person with mental illness and their family.
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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 | 0.000 | 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 | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| 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 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".