The Effect of Peer Support on Postpartum Depression: A Pilot Randomized Controlled Trial
Bibliographic record
Abstract
OBJECTIVE: To evaluate the effect of peer support (mother-to-mother) on depressive symptomatology among mothers identified as high-risk for postpartum depression (PPD). METHOD: Forty-two mothers in British Columbia were identified as high-risk for PPD according to the Edinburgh Postnatal Depression Scale (EPDS) and randomly assigned to either a control group (that is, to standard community postpartum care) or an experimental group. The experimental group received standard care plus telephone-based peer support, initiated within 48 to 72 hours of randomization, from a mother who previously experienced PPD and attended a 4-hour training session. Research assistants blind to group allocation conducted follow-up assessments on diverse outcomes, including depressive symptomatology, at 4 and 8 weeks postrandomization. RESULTS: Significant group differences were found in probable major depressive symptomatology (EPDS > 12) at the 4-week (chi 2 = 5.18, df = 1; P = 0.02) and 8-week (chi 2 = 6.37, df = 1; P = 0.01) assessments. Specifically, at the 4-week assessment 40.9% (n = 9) of mothers in the control group scored > 12 on the EPDS, compared with only 10% (n = 2) in the experimental group. Similar findings were found at the 8-week assessment, when 52.4% (n = 11) of mothers in the control group scored > 12 on the EPDS, compared with 15% (n = 3) of mothers in the experimental group. Of the 16 mothers in the experimental group who evaluated the intervention, 87.5% were satisfied with their peer-support experience. CONCLUSIONS: Telephone-based peer support may effectively decrease depressive symptomatology among new mothers. The high maternal satisfaction with, and acceptance of, the intervention suggests that a larger trial is feasible.
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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 | 0.006 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.003 | 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 | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.009 | 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".