Online Peer-Delivered 1-Day Cognitive Behavioral Therapy–Based Workshops for Postpartum Depression
Bibliographic record
Abstract
Brief Report P ostpartum depression (PPD) affects up to 20% of mothers and birthing parents, yet only 1 in 10 receive evidence-based treatment.1 Barriers include time limitations, long waitlists, and concerns about stigma and judgment by health care providers.Peer-administered interventions, those delivered by recovered former sufferers, can reduce stigma and convey valuable experiential knowledge, promote normalization, and provide role models for recovery for those with PPD. 2 Group delivery of peer-administered interventions may also be capable of cost-effectively treating PPD. 3 This study examined the feasibility of training individuals who have recovered from PPD to deliver an online 1-day cognitive behavioral therapy (CBT)-based workshop for PPD, assessed the acceptability of these workshops to those with current PPD, and estimated the intervention's clinical effects. MethodsThis study utilized a single-arm pre-post design with no control group and was conducted from January-February 2021.Participants self-referred in response to social media advertisements and were eligible if they lived in Ontario, Canada; were ≥ 18 years old; had an infant < 12 months old; and scored ≥ 10 on the Edinburgh Postnatal Depression Scale (EPDS).No other exclusionary criteria were applied.
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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 | 0.000 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.016 | 0.002 |
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".