Postpartum care: Clinical considerations for improving genital and sexual health
Bibliographic record
Abstract
The postpartum period encompasses the biological and psychoaffective transition to motherhood. However, it remains a most neglected phase in a woman's life. Furthermore, the transition to parenthood is a critical and potentially disrupting factor in a couple's relationship, which can be complicated by undiagnosed biological and psychosexual difficulties. Lack of recognition of the many biological and medical factors that can affect women's health and sexuality in the postpartum period is a common and persistent clinical omission worldwide. Communication difficulties exist between healthcare professionals and women and there are wording biases in describing female genitalia. This can further contribute to the diagnostic lack of attention and timely diagnosis and treatment of even very bothersome symptoms. Early diagnosis and treatment of common postpartum conditions is vital and quality care for new mothers should include psychological and emotional support, lactation assistance, early diagnosis and treatment of genital and sexual pain symptoms, pelvic floor rehabilitation and sexual health guidance. The inclusion of correct genital hygiene practices is a critical element of postpartum gynaecological counselling and can help improve overall genital and sexual health. In this review, we summarise the variability in global professional guidelines for postpartum care, identify common health problems faced by postpartum women and discuss appropriate postpartum care. We pay specific attention to prominent biological or medical factors that can impact the emotional and psychosexual wellbeing of women and couples. The aetiology, diagnosis and treatment of sexual dysfunction, in particular sexual pain disorders, is therefore discussed with a pragmatic approach. Finally, the role of intimate hygiene care is discussed with special attention given to cleanser ingredients with solid scientific evidence to help clinicians adopt a more tailored approach with their clinical recommendations.
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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 | 0.013 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.003 | 0.002 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.003 | 0.004 |
| Insufficient payload (model declined to judge) | 0.010 | 0.002 |
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".