Policy, Service, and Training Provision for Women Following a Traumatic Birth: An International Mapping Study
Bibliographic record
Abstract
Abstract Background: High numbers of women experience a traumatic birth, which can lead to Post Traumatic Stress Disorder (PTSD) onset, and negative and pervasive impacts for women, infants and families. Policies, suitable service provision, and training are needed to identify and treat psychological morbidity following a traumatic birth experience, but currently there is little insight into whether and what is provided in different contexts. The aim of this study was to map policy, service and training provision for women following a traumatic birth experience in different European countries. Methods: A survey was distributed as part of the COST Action “Perinatal mental health and birth-related trauma: Maximizing best practice and optimal outcomes”. Questions were designed to capture ‘country level data’; ‘care provision’ (i.e., national policies or guidelines for the screening, treatment and/or prevention of a traumatic birth, service provision), and nationally mandated pre-registration and post-registration ‘training’ for maternity professionals. Results: Eighteen countries participated. Only one country had national policies regarding the screening, treatment and prevention of a traumatic birth experience/PTSD. Service provision was provided formally in six countries (33%), or informally in the majority (78%). In almost all countries (89%), women could be referred to specialist perinatal or mental health services. Services tended to be provided by midwives, although some multidisciplinary practice was apparent. Thirty-nine percent of the countries offered ‘a few hours’ professional/pre-registration training but none offered nationally mandated post-registration training. Conclusions: A traumatic birth experience is a key public health concern. Evidence highlights important gaps regarding formalized care provision and training for care providers.
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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 | 0.003 | 0.007 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.004 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.002 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 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".