Knowledge, attitude and perceptions of medical students towards mental health in a university in Uganda
Bibliographic record
Abstract
BACKGROUND: The prevalence of mental illness among medical students is high. A gap remains on what knowledge should be given to improve the attitudes and perceptions towards mental health. Despite the vast body of literature globally, no study has been conducted in Uganda to assess the levels of knowledge, attitude, and perception among medical students in Uganda. OBJECTIVE: To determine the level of knowledge, attitude, and perception and their associated factors among medical students in Uganda. METHODS: A cross-sectional study was done among 259 undergraduate medical students in a public university capturing information on knowledge, attitude, and perception towards mental health. Linear regression analysis was used to determine the factors associated with knowledge, attitude, and perception. RESULTS: About 77.72% had high knowledge, 49.29% had positive attitudes, and 46.92% had good perceptions of mental health. There was a significant positive relationship between attitude and perceptions towards mental illness. At multilevel analysis, being in year 4 increased the level of knowledge (β = 1.50 [95% confidence interval (CI) = 0.46-2.54], p = 0.005) while a positive history of mental illness worsened perceptions towards mental illness (β = -4.23 [95% CI = -7.44-1.03], p = 0.010). CONCLUSION: Medical students have a high level of knowledge about mental illness but the majority had poor attitudes and perceptions of mental illness. Exposure to psychiatry knowledge about mental illness in year four increased students' knowledge while prior experience with mental illness conditions was associated with poorer perceptions. The information present in this study can be used by policymakers and future researchers to design future studies and interventions to improve knowledge, perceptions, and attitudes especially among students who have a history of mental illness. Improvements in knowledge, attitude, and perception may improve the mental health services for the future patients of these medical students.
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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 | 0.001 | 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 | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.009 | 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".