One-Day Peer-Delivered Cognitive Behavioral Therapy-Based Workshops for Postpartum Depression: A Randomized Controlled Trial
Bibliographic record
Abstract
INTRODUCTION: Myriad treatment barriers prevent birthing parents with postpartum depression (PPD) from receiving timely treatment. We aimed to determine whether a peer-delivered online 1-day cognitive behavioral therapy (CBT)-based workshop added to treatment as usual (TAU) improves PPD and its comorbidities and is more cost-effective than TAU alone. METHODS: This parallel-group, randomized controlled trial took place in Ontario, Canada (June 7, 2021, to February 18, 2022). Participants were ≥18 years old, had an infant ≤12 months old, and an Edinburgh Postnatal Depression Scale (EPDS) score ≥10. Participants were allocated to receive the workshop plus TAU (n = 202) or TAU and waitlisted to complete the workshop 12 weeks later (n = 203). The primary outcome was change in PPD (EPDS score) from enrollment to 12 weeks later. The secondary outcome was cost-effectiveness and tertiary outcomes included anxiety, social support, partner relationship quality, the mother-infant relationship, parenting stress, and infant temperament. RESULTS: Participants had a mean age of 32.3 years (SD = 4.30) and 65% were White. The workshop led to a significant reduction in EPDS scores (15.95-11.37; d = 0.92, p < 0. 01) and was associated with higher odds of exhibiting a clinically significant decrease in EPDS scores (OR = 2.03; 95% CI: 1.26-3.29). The workshop plus TAU was more cost-effective than TAU alone. It also led to improvements in postpartum anxiety, infant-focused anxiety, parenting stress, and infant temperament. CONCLUSIONS: Peer-delivered 1-day CBT-based workshops can improve PPD and are a potentially scalable low-intensity treatment that could help increase treatment access.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.002 | 0.001 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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".