Stigma Impact on Moroccan Families of Patients with Schizophrenia
Bibliographic record
Abstract
OBJECTIVES: First, to explore whether in Morocco, a non-Western country, family members of patients with schizophrenia suffer from stigma and, if they do, which areas of their lives are most affected; and second, to explore family members' knowledge about the illness and their attitudes toward the patients. METHODS: The study was conducted among 100 family members accompanying patients with schizophrenia. We used a heteroquestionnaire that inquired about family members' and patients' sociodemographic data, family members' knowledge of the patients' illness, their attitudes and behaviours toward the patient, and their perception of stigma. RESULTS: Family members' mean age was 47.44 years, SD 12.83; 69% were women; 38% had no education; and 77% had no professional activity. Most families (76%) reported having no knowledge about the illness. However, the illness was considered to be incurable (39%), severe (37%), chronic (80%), and handicapping (48%) and was believed to be caused by drug use (25%), stressing life events (such as conflict or bereavement; 46%), sorcery (25%), organic disturbance (30%), or heredity (23%). We found that most of the families suffer from stigma and discrimination. A total of 86.7% reported they have hard lives because of the illness, and 72% reported psychological suffering caused by sleep and relationship disturbances and a poor quality of life. CONCLUSIONS: In this study, we found that Moroccan families of patients with schizophrenia suffer from stigma. We found the same results in European, In North American, and in some Arab and Islam countries. Despite the belief that traditional societies are more supportive of the weak and the sick, stigma is a major burden in addition to that of the illness.
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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 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.003 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| 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".