Diagnostic and preventive measures undertakenby midwives regarding mental health among womenand men in the perinatal period – analysis of the resultsof a multicentre cross-sectional study
Bibliographic record
Abstract
Introduction: According to the Regulation of Polish Minister of Health of 16 August 2018 on the organisational standard of perinatal care, it is mandatory for the person providing care to the pregnant and postpartum woman to assess the risk and severity of depressive symptoms (at 11-14 and 33-37 weeks of pregnancy) and to assess the mental state of the postpartum woman, including the risk of postpartum depression. Material and methods: 297 Polish midwives and 90 midwifery students were surveyed by paper or online questionnaire, and 98 Icelandic midwives and 10 midwifery students were surveyed in the same way. The questionnaire consisted of 32 questions on beliefs about difficulties in coping with antenatal health problems, 20 questions exploring participants' knowledge of depression treatment in relation to the general population and pregnant women separately, and 9 questions on participants' views on the stigma caused by the illness. Results: 28.8% of the professionally active participants declared to examine each pregnant patient for depression. 75% of all participants strongly agreed that they would like to receive additional teaching on antenatal mental health. About 20% of the respondents conducted a standard screening for depression among their pregnant patients, about 30% -among women in the postnatal period. 62% of midwives and midwifery students in Poland and 83% of the Icelandic cohort strongly or partially disagreed with the statement that a psychiatrist or psychologist, rather than a midwife, should do the mood assessment. Conclusions: Midwives indicate that they do not think that perinatal mental health screening should be addressed exclusively by a psychologist or psychiatrist, but only a part of the care population undergoes a mood assessment performed by midwives. Midwives and midwifery students recognise the need for self-education about screening for perinatal mental health disorders and draw attention to the ever-present stigmatisation of those experiencing depression.
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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 | 0.008 |
| Meta-epidemiology (narrow) | 0.000 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 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".