Post-traumatic stress disorder in trainee doctors with previous needlestick injuries
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
BACKGROUND: Doctors are at particular risk of occupational needlestick injuries (NSI), and these may result in considerable acute anxiety and fear of disease transmission. AIMS: To measure the prevalence of post-traumatic stress disorder (PTSD) among trainee doctors who had experienced an NSI. METHODS: A questionnaire was distributed to trainee doctors starting work in a large university hospital in the UK. The survey gathered demographic information and experience of previous NSI and included questions designed to assess the presence of PTSD via the Impact of Event Scale (IES), a widely used screening tool for PTSD. The six-item version of this tool (IES-6) was used in this study. RESULTS: Among the 147 doctors who participated, 80 (54%) had sustained at least one NSI during their training and 77 of these completed the IES-6 survey. Of note, 38% of injuries (30/80) were not reported to the occupational health or emergency departments. Using a cut-off level of 10 in the IES-6, 12% (9/77) of the doctors who suffered NSI during their training showed evidence of PTSD. Since the prevalence of PTSD in the general population is estimated at 3%, the odds ratio of PTSD in doctors who had NSI was 4.28 (95% confidence interval: 2.16-8.47). CONCLUSIONS: NSI injury is common among doctors in training. As 12% of doctors with experience of NSI had post-traumatic stress reactions, special attention should be paid to psychological impacts of NSIs. We would recommend further prospective studies.
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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 | 0.000 | 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 | 0.000 |
| 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 it