Low level of knowledge of heart attack symptoms and inappropriate anticipated treatment-seeking behaviour among older Chinese: a cross-sectional survey
Bibliographic record
Abstract
BACKGROUND: Prehospital delay of acute myocardial infarction (AMI) is common globally, and Hong Kong-home of a rapidly ageing Chinese population-is not an exception. Seeking emergency medical care promptly is important for patients. Treatment-seeking behaviours have been shown to be associated with knowledge of AMI symptoms and specific cultural beliefs. This study aimed to assess the level of knowledge of AMI symptoms and expected treatment-seeking behaviour among older Chinese in Hong Kong. METHODS: A cross-sectional population-based survey was conducted at the Elderly Health Centres in Hong Kong from March to September 2016. Face-to-face interviews were conducted with a structured questionnaire based on previous studies and local adaptations. RESULTS: Among 1804 people aged 65 years and above who completed the questionnaire, chest pain (80.2%), palpitations (75.8%) and fainting (71.9%) were the major symptoms recognised as AMI related. Meanwhile, stomach ache (46.9%), coughing (45.4%) and neck pain (40.8%) were recognised as not AMI related. The mean expected discomfort intensity during AMI onset was 7.7 out of 10 (SD=2.1). Regarding the expected treatment-seeking behaviour, seeking non-emergent medical care was the most popular action when AMI symptoms emerged during the day, without chest pain or with lower discomfort intensity, whereas calling an ambulance was the most common option when AMI symptoms emerged at night or with high discomfort intensity. CONCLUSIONS: To minimise delays in seeking treatment, future health education should focus on increasing the public knowledge of AMI symptoms and the need to call an ambulance during an emergency.
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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 | 0.019 | 0.007 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.002 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.002 |
| Scholarly communication | 0.000 | 0.000 |
| 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".