Dementia awareness among healthcare professionals in Kuwait
Bibliographic record
Abstract
Background/Aims Dementia is a progressive disease that can lead to functional limitations, poor quality of life, and dependency among older people. Healthcare professionals play an essential role in assisting individuals who have dementia and their caregivers. This research aimed to investigate the level of knowledge about dementia among healthcare professionals in Kuwait. Methods Healthcare professionals from seven public hospitals in Kuwait participated in the study. The participants’ knowledge level was measured using the Dementia Knowledge Assessment Scale. Results A total of 1005 participants (36.5% males and 63.5% females) from various healthcare occupations were included in this study; physicians (n=120), occupational therapists (n=31), physical therapists (n=107), pharmacists (n=90), and nurses (n=657). The overall knowledge about dementia was generally low, with an overall mean score of 18.99 out of 50 (standard deviation 5.54). Conclusions A lack of knowledge about dementia was identified among healthcare professionals in Kuwait. The findings demonstrate the need for more training to improve knowledge and increase awareness about this disease. Improved knowledge of dementia should lead to improved health care provided to patients living with dementia and support caregivers in managing the disease.
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.002 | 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) | 0.002 | 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".