Quasi‐experimental evaluation of a telephone‐based peer support intervention for maternal depression
Bibliographic record
Abstract
AIMS: To evaluate the effect of telephone-based peer support on maternal depression and social support BACKGROUND: Postpartum depression is a global health concern and lack of treatment options mean many mothers are depressed beyond the first year after birth. Strong evidence has shown telephone-based peer support, provided by a mother recovered from depression, effectively improves depression outcomes. This model has not been tested with mothers with depression any time up to two years postpartum. DESIGN: Quasi-experimental, one group pre-test, posttest. METHOD: The study population was mothers in New Brunswick, Canada with depression up to 24 months after delivery. The sample (N = 64) was recruited between May 2011-October 2013. Peer volunteers recovered from postpartum depression were trained and delivered an average of 8·84 (Range 1-13) support telephone calls. Depression and social support outcomes were assessed at intervention mid-point (average 7·43 weeks, n = 37) and end (average 13·9 weeks, n = 34). RESULTS: Mean depression significantly declined from baseline, 15·4 (N = 49), to mid-point, 8·30 and end of the study, 6·26. At mid-point 8·1% (n = 3/37) of mothers were depressed and at endpoint 11·8% (4/34) were depressed suggesting some relapse. Perceptions of social support significantly improved and higher support was significantly related with lower depression symptoms. CONCLUSION: Findings offer promise that telephone-based peer support is effective for both early postpartum depression and maternal depression up to two years after delivery.
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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) | 0.000 | 0.000 |
| 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".