Preconception Care: A Comparative Review of Major Guidelines
Bibliographic record
Abstract
Importance: Preconception care represents a crucial aspect of healthy pregnancy as it aims to optimize the health status of women and men before conception by mitigating the modifiable individual and environmental risk factors and providing education, counseling, and timely interventions. Objective: The aim of this study was to review and compare the most recently published influential guidelines on prepregnancy counseling and management of chronic medical conditions. Evidence Acquisition: A descriptive review of guidelines from the American College of Obstetricians and Gynecologists (ACOG), the Royal Australian and New Zealand College of Obstetricians and Gynecologists (RANZCOG), and the Public Health Agency of Canada (PHAC) on preconception care was carried out. Results: There is a consensus among the reviewed guidelines that a detailed personal and family history and risk factor assessment and counseling against smoking, alcohol, and substance abuse are the main areas to focus when providing preconception care. In addition, assessment of immunization status and screening for intimate partner violence and sexual coercion, as well as screening for human papillomavirus and cervical cancer, are unanimously recommended. All medical societies also agree that counseling on diet, body mass index, and physical activity should be routinely offered along with a review of supplements and advice on folic acid supplementation. Furthermore, the need of medication review for potential teratogenic effects and the importance of assessing for environmental and occupational exposure to teratogens are underlined by all guidelines. Moreover, ACOG and PHAC recommend a discussion regarding contraception, support an optimal interpregnancy interval of at least 18 months, and underline that screening for sexually transmitted infections should be offered only in cases with existing risk factors. ACOG and RANZCOG also suggest that patients should be offered guidance on proper food handling and traveling restrictions to prevent certain infectious diseases. Finally, ACOG and PHAC provide guidance on the preconception management of chronic medical conditions, whereas RANZCOG, although mentioning that all preexisting medical conditions should be optimized before achieving pregnancy, provides no further guidance. Conclusion: Preparing for a healthy pregnancy not only drives favorable perinatal outcomes, but is also associated with long-lasting benefits for the offspring. Health care professionals are ideally positioned to offer clear, accurate, and timely counseling to the parents-to-be, screen for and act upon any potential impediments to a successful outcome, support the decision-making process, and offer referral to relevant services when required. Therefore, the development of consistent international guidelines on preconception care to guide clinical practice seems of insurmountable importance.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.048 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.005 | 0.001 |
| Bibliometrics | 0.000 | 0.002 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| 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 teacher head, 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".