An approach to interpersonal psychotherapy for postpartum depression: focusing on interpersonal changes.
Bibliographic record
Abstract
OBJECTIVE: To review the principles of interpersonal psychotherapy (IPT)for the treatment of postpartum depression (PPD). SOURCES OF INFORMATION: Empirical literature, IPT manuals including those adapted for PPD, and the authors' clinical experience. MAIN MESSAGE: Level I evidence supports IPT as a treatment for PPD. Interpersonal psychotherapy is ideally suited because it focuses on the important interpersonal changes and challenges women experience during the postpartum period. It is delivered in 12 sessions and emphasizes interpersonal disputes, role transitions, or bereavement. In this article, we describe the IPT model and therapeutic guidelines for treatment of PPD. CONCLUSION: Postpartum depression is an important public health problem with pervasive effects on mothers, infants, and families. Interpersonal psychotherapy is a relevant and effective treatment for women suffering from PPD because it helps address the many interpersonal stressors that arise during the postpartum period. The principles of IPT can be integrated easily into primary care settings as IPT is pragmatic, specific, problem focused, short-term, and highly effective.
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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 | 0.002 | 0.004 |
| 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 | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.002 | 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".