Post‐traumatic stress symptoms in Swedish obstetricians and midwives after severe obstetric events: a cross‐sectional retrospective survey
Bibliographic record
Abstract
OBJECTIVE: To examine post-traumatic stress reactions among obstetricians and midwives, experiences of support and professional consequences after severe events in the labour ward. DESIGN: Cross-sectional online survey from January 7 to March 10, 2014. POPULATION: Members of the Swedish Society of Obstetrics and Gynaecology and the Swedish Association of Midwives. METHODS: Potentially traumatic events were defined as: the child died or was severely injured during delivery; maternal near-miss; maternal mortality; and other events such as violence or threat. The validated Screen Questionnaire Posttraumatic Stress Disorder (SQ-PTSD), based on DSM-IV (1994) 4th edition, was used to assess partial post-traumatic stress disorder (PTSD) and probable PTSD. MAIN OUTCOME MEASURES: Partial or probable PTSD. RESULTS: The response rate was 47% for obstetricians (n = 706) and 40% (n = 1459) for midwives. Eighty-four percent of the obstetricians and 71% of the midwives reported experiencing at least one severe event on the delivery ward. Fifteen percent of both professions reported symptoms indicative of partial PTSD, whereas 7% of the obstetricians and 5% of the midwives indicated symptoms fulfilling PTSD criteria. Having experienced emotions of guilt or perceived insufficient support from friends predicted a higher risk of suffering from partial or probable PTSD. Obstetricians and midwives with partial PTSD symptoms chose to change their work to outpatient care significantly more often than colleagues without these symptoms. CONCLUSIONS: A substantial proportion of obstetricians and midwives reported symptoms of partial or probable PTSD after severe traumatic events experienced on the labour ward. Support and resilience training could avoid suffering and consequences for professional carers. TWEETABLE ABSTRACT: In a survey 15% of Swedish obstetricians and midwives reported PTSD symptoms after their worst obstetric event.
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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 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.001 |
| 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 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 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".