Post-traumatic stress disorder among family physicians in Bosnia and Herzegovina
Bibliographic record
Abstract
BACKGROUND: The traumatic events experienced by thousands of people in Bosnia and Herzegovina during the 1992-1995 conflict may have a lasting effect on the mental health of the country, characterized by high rates of post-traumatic stress disorder (PTSD). A diagnosis of PTSD among family physicians could affect their ability to diagnose and treat patients for depression, anxiety and PTSD. OBJECTIVE: The aim of the present study was to determine the prevalence of PTSD among family medicine physicians in Bosnia and Herzegovina. METHODS: A self-administered questionnaire, including the PTSD Checklist-Civilian Version (PCL-C) which is a validated scale for PTSD screening, was distributed to family medicine residents and specialists in Bosnia and Herzegovina. The prevalence of PTSD was determined, and factors related to PTSD were considered. RESULTS: One hundred and thirty-three (90.5%) of the 147 physicians who were available to be surveyed completed the questionnaire. Of the 88% who had a traumatic experience during the war, 18% met the criteria for PTSD. The likelihood of meeting the criteria for PTSD was not affected by age, sex or whether the physician had worked in a field hospital during the war. However, a positive response to the question "Do you think the traumatic event you experienced during the war still affects you today?" was highly associated with the diagnosis of PTSD (odds ratio 7.26, 95% confidence interval: 1.57-33.60). Also, this question was shown to have a high degree of sensitivity and negative predictive value, and may be of use as a screening tool for ruling out the presence of PTSD after a traumatic war experience.
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| 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".