Stigma toward mental and physical illness: attitudes of healthcare professionals, healthcare students and the general public in Pakistan
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
BACKGROUND: The evidence base for stigma in mental health largely originates from high-income countries. AIMS: This study from Pakistan aimed to address the gap in literature on stigma from low- and middle-income countries. METHOD: This cross-sectional study surveyed 1470 adults from Karachi, Pakistan. Participants from three groups (healthcare professionals, healthcare students and the general public) completed the adapted Bogardus Social Distance Scale (SDS) as a measure of stigma. RESULTS: All three groups reported higher scores of stigma toward mental disorders compared with physical disorders. SDS scores for mental illness in the general public were significantly higher than in healthcare students (mean difference (MD) 6.93, 95% CI 5.45-8.45, P < 0.001) and healthcare professionals (MD 6.93, 95% CI 5.48-8.38, P < 0.001). However, SDS scores between healthcare students and healthcare professionals were not significantly different (MD 0.003, 95% CI -1.14-1.14, P > 0.99). Being female was associated with lower stigma scores and being over the age of 30 years was associated with higher stigma scores. CONCLUSIONS: Stigma campaigns in Pakistan need to target the general population. However, evidence of negative attitudes toward mental illness in healthcare students and healthcare professionals supports the need for stronger emphasis on psychiatric education within undergraduate and postgraduate training in Pakistan.
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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 | 0.000 | 0.000 |
| 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 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 it