Barriers Facing Primary Health Care Physicians When Dealing with Emergency Cases in Jeddah, Saudi Arabia
Bibliographic record
Abstract
OBJECTIVES: To estimate the prevalence of emergency cases reporting to Primary Health Care centers (PHC), Jeddah, Saudi Arabia and to explore the barriers facing PHC physicians when dealing with such emergency cases. METHODS: A cross-sectional analytic study, where all physicians working in the PHC of the Ministry of Health (MOH) in Jeddah; were invited to participate (n=247). The study period was from July 2013 till December 2013. Data were collected through two sources. 1- A self-administered questionnaire used to determine the physicians' perceived competence when dealing with emergency cases. 2- A structured observation sheet used to evaluate availability of equipment, drugs, ambulances and other supporting facilities required to deal with emergency cases. RESULTS: The response rate was 83.4%. The physicians' age ranged between 25 and 60 years with a mean ±SD of 34.4±7.5 years. Majority of them (83.5%) did not attend ATLS courses at all whereas 60.7% never attended ACLS courses. The majority (97.1%) had however attended BLS courses. Physicians in the age group 36-45 years, non-Saudi, those who had SBFM, those who reported experience in working in emergency departments and physicians who reported more working years in PHCCs (>5 years) had a significant higher score of perceived level of competence in performing emergency skill scale than others (P<0.05). The prevalence of emergency cases attending PHC in Jeddah (2013) was 5.2%. CONCLUSION: Emergency services at PHC in Jeddah are functioning reasonably well, but require fine tuning of services and an upgrade in their quality.
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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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| 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".