Knowledge, Attitudes, and Practices Toward Burn Causes and First Aid Management in Jazan Region, Saudi Arabia: Cross-Sectional Study
Bibliographic record
Abstract
BACKGROUND: Burn injuries are a major global health problem, particularly in low- and middle-income countries, accounting for most burn-related deaths and disabilities. In Saudi Arabia, burns remain a frequent cause of morbidity, often resulting from domestic accidents involving hot liquids, open flames, or electricity. The Jazan region, with its dense population and reliance on traditional cooking methods, is considered at higher risk. Understanding public knowledge, attitudes, and practices regarding burns and first aid is essential for guiding preventive strategies and health education efforts. OBJECTIVE: This study aimed to assess the level of awareness, knowledge, and practices related to burn causes and first aid management among residents of the Jazan region, Saudi Arabia. METHODS: A cross-sectional online survey was conducted using a validated Arabic questionnaire distributed through social media platforms. The questionnaire covered demographics, knowledge of burn causes and types, first aid management, and preventive practices. Data were analyzed using SPSS version 26.0. RESULTS: Out of 404 participants aged 18-60 years, 228 (56.4%) demonstrated poor knowledge and awareness regarding burn causes and first aid management. The internet was the most commonly reported source of information (171/236, 72.5%), followed by formal courses (76/236, 32.2%), paper leaflets (75/236, 31.8%), television (67/236, 28.4%), and daily newspapers (23/236, 9.7%). Additionally, 215 (53.2%) participants had previously experienced burns, with hot water (136/215, 63.8%) and fire (105/215, 48.8%) cited as the most common causes. The most frequently affected sites were the hand (111/215, 51.6%), arm (85/215, 39.5%), and thigh (49/215, 22.8%). CONCLUSIONS: The study highlights limited awareness and improper first aid practices among the Jazan population. Targeted community-based educational programs are needed to enhance burn prevention and management knowledge.
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 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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.000 |
| 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".