A public health role in perinatal mental health: Are midwives ready?
Bibliographic record
Abstract
There is increasing awareness of perinatal mental health as a public health issue. The Government is keen for midwives to further develop their role in public health. Midwives need to be adequately prepared to take on a more developed role in perinatal mental health if practice improvements are to be made. The aim of this study was to identify any barriers to successful implementation by midwives of the recommendations from the Confidential Enquiries into Maternal Deaths aimed at reducing maternal deaths from suicide. This article describes a survey of midwives’ attitudes, knowledge and confidence in relation to perinatal mental health. The study used a quantitative survey method. A 29 item questionnaire was completed by 187 midwives working with one inner London Trust prior to attending a one day study day on perinatal mental health. Statistical analysis of the data was carried out using the SPSS (Statistical Package for the Social Sciences) software package. The study found that midwives are willing to take on a more developed role in relation to mental health but that they often lack training, knowledge and confidence in this area.
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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 | 0.011 | 0.047 |
| Meta-epidemiology (narrow) | 0.000 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.004 | 0.005 |
| Scholarly communication | 0.004 | 0.008 |
| Open science | 0.001 | 0.005 |
| Research integrity | 0.006 | 0.007 |
| Insufficient payload (model declined to judge) | 0.010 | 0.001 |
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".