Assessing Stroke Awareness and Behavioural Response Following the National ‘Act Fast’ Stroke Awareness Campaign – Insights from a Cross-Sectional Survey in Qatar
Bibliographic record
Abstract
Evaluating stroke campaigns and associated behavioural changes is crucial to assess intervention effectiveness and inform future strategies. We aimed to evaluate patient's and bystanders’ foreknowledge of stroke signs and symptoms and their response at stroke onset. We interviewed stroke patients using a validated questionnaire or their bystanders if the stroke patient had disabling stroke. The questionnaire was administered to 165 participants, 142 (86.1%) stroke patients and 23 (13.9%) bystanders. The mean age was 52.6 (SD = 11.7), and male–female ratio was 7:1. Among the participants, 33 (20.1%) had foreknowledge of stroke signs, and of these, 27 (16.5%) were aware of the stroke campaign in Qatar. The behavioural responses at stroke onset included; activating Emergency Medical Services (EMS) ( n = 55, 33.3%), calling friends/relatives ( n = 69, 41.8%), driving to hospital ( n = 33, 20%), waiting for improvement in condition ( n = 21, 12.7%). There was no association of ethnicity, marital status, or campaign awareness with EMS activation. Despite limited community awareness of stroke signs and campaign, help-seeking behaviour through EMS activation was generally high, underscoring the need for focused educational efforts and public health interventions.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.001 |
| 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 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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 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".