Preventing Postpartum Depression Part II: A Critical Review of Nonbiological Interventions
Bibliographic record
Abstract
OBJECTIVE: To critically review the literature to determine the current state of scientific knowledge concerning the prevention of postpartum depression (PPD) from a nonbiological perspective. METHODS: Databases searched for this review include Medline, PubMed, Cinahl, PsycINFO, Embase, ProQuest, the Cochrane Library, and the World Health Organization Reproductive Health Library. Studies selected were peer-reviewed English-language articles published between January 1, 1966, and December 31, 2003. Criteria used to evaluate the interventions were derived from the standardized methodology developed by the Canadian Task Force on Preventive Health Care. RESULTS: Twenty-nine studies that met criteria were examined. These included studies evaluating interpersonal psychotherapy, cognitive-behavioural therapy, psychological debriefing, antenatal classes, intrapartum support, supportive interactions, continuity of care, antenatal identification and notification, early postpartum follow-up, flexible postpartum care, educational strategies, and relaxation with guided imagery. CONCLUSIONS: While this review demonstrates that no specific approach can be strongly recommended for clinical practice, many explicit research implications have been highlighted. To further address PPD as a public health problem, it is critical to include ethnically and socioeconomically diverse women in research efforts examining the differences among depression symptoms, intervention response rates, and health service use.
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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 | 0.009 | 0.029 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.007 | 0.004 |
| Bibliometrics | 0.010 | 0.010 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.003 | 0.003 |
| Open science | 0.003 | 0.001 |
| Research integrity | 0.003 | 0.002 |
| Insufficient payload (model declined to judge) | 0.004 | 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".