Telephone-based nurse-delivered interpersonal psychotherapy for postpartum depression: nationwide randomised controlled trial
Bibliographic record
Abstract
BACKGROUND: Postpartum depression and anxiety are under-addressed public health problems with numerous treatment access barriers, including insufficiently available mental health specialist providers. AIMS: To examine the effectiveness of nurse-delivered telephone interpersonal psychotherapy (IPT) for postpartum depression. Trial registration ISRCTN88987377. METHOD: Postpartum women (n = 241) with major depression (on the Structured Clinical Interview for DSM-IV (SCID-I)) from 36 Canadian public health regions in rural and urban settings were randomly assigned to 12 weekly 60 min nurse-delivered telephone-IPT sessions or standard locally available care. The primary outcome was the proportion of women clinically depressed at 12 weeks post-randomisation, with masked intention-to-treat analysis. Secondary outcomes examined included comorbid anxiety, self-reported attachment and partner relationship quality. RESULTS: At 12 weeks, 10.6% of women in the IPT group (11/104) and 35% in the control group (35/100) remained depressed (OR = 0.22, 95% CI 0.10-0.46), with the IPT group 4.5 times less likely to be clinically depressed (SCID); 21.2% in the IPT group and 51% in the control group had an Edinburgh Postnatal Depression Scale (EPDS) score >12 (OR = 0.26, 95% CI 0.14-0.48), and attachment avoidance decreased more in the IPT group than in the control group (P = 0.02). Significant differences favoured the IPT group for comorbid anxiety and partner relationship quality at all time points, with no differences in health service or antidepressant use. None of the IPT responders relapsed by 36 weeks. Between-group SCID differences were sustained at 24 weeks, but not at 36 weeks. CONCLUSIONS: Nurse-delivered telephone IPT is an effective treatment for diverse urban and rural women with postpartum depression and anxiety that can improve treatment access disparities.
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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) | 0.003 | 0.002 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.011 | 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".