Mental Health Literacy of Healthcare Providers in Arab Gulf Countries: A Systematic Review
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 concept of Mental Health Literacy (MHL) relies on our capacity to understand and recognize mental illnesses and the ability to maintain and promote a positive mentality for ourselves and others. In our review, we aim to examine the level of MHL among healthcare providers in the Arab Gulf States. METHODS: PubMed, PsycINFO, Medline were searched till August 2019. Studies were included if at least one of the main components of mental health literacy was reported, including (a) knowledge of mental illnesses, (b) stigma toward mental illnesses, (c) confidence in helping patients, and (d) behavior of helping patients, regardless of study design. The risk of bias was rated according to the modified Newcastle-Ottawa Quality Assessment Scale for cross-sectional studies. RESULTS: Seven studies were included in the review; all of them were cross-sectional, with a total of 3516 participants from the healthcare system. Overall most of the studies claimed limited knowledge, negative attitudes, behavior and/or confidence among nurses, pharmacists, and physicians, especially juniors. However, the overall quality of all outcomes was relatively very low. CONCLUSION: More high-quality evidence and in-depth qualitative studies are required to bridge the gap between mental health needs and services delivered by healthcare providers in the Gulf Arab region.
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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 | 0.006 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.012 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.002 | 0.000 |
| Research integrity | 0.000 | 0.004 |
| 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