Question · asked by 1 review
Additional support vs usual care: Postnatal depression
- Population
- women at increased risk of low birthweight babies (maternal outcomes)
- Intervention
- Additional support
- Comparison
- usual care
- Outcome
- Postnatal depression
Additional support showed no clear difference in postnatal depression Self‐reported compared with usual care during pregnancy (low certainty).
What each review found
Include earlier review versionsNo studies found 0 · 0%GRADE not reported 0 · 0%Very low 0 · 0%Low 1 · 50%Moderate 1 · 50%High 0 · 0%
| Finding | Effect | Studies | GRADE certainty |
|---|---|---|---|
Additional support vs usual care during pregnancy Postnatal depression Self‐reported · women at increased risk of low birthweight babies (maternal outcomes) Additional support showed no clear difference in postnatal depression Self‐reported compared with usual care during pregnancy (low certainty). Support during pregnancy for women at increased risk of low birthweight babies (2019) · Cochrane Headline outcomes only | RR 0.85 [0.69, 1.05] | 1 study · 458 participants | Low |
Additional support vs usual care during pregnancy Postnatal depression Positive EPDS score · women at increased risk of low birthweight babies (maternal outcomes) Additional support showed no clear difference in postnatal depression Positive EPDS score compared with usual care during pregnancy (moderate certainty). Support during pregnancy for women at increased risk of low birthweight babies (2019) · Cochrane Headline outcomes only | RR 0.74 [0.55, 1.01] | 1 study · 1008 participants | Moderate |
Findings are shown side by side, never pooled across reviews.
The reviews
| Review | Searched up to | Included studies | AMSTAR 2 |
|---|---|---|---|
| Support during pregnancy for women at increased risk of low birthweight babies 2019 · Cochrane Headline outcomes only | Not reported | Not extracted | Not assessed |
How reviews are matched to this question
Reviews word the same question differently. Four decision models (TypeSafe's Jev, Liquid AI's d1-ultra, SubQ Snap and Baseten's Elephant) judged each wording of the population, intervention, comparator and outcome against the others; two wordings count as the same when at least three of them agree and none clearly disagrees, and findings count as this question only when all four elements match. Timing, setting and subgroup never split a question: they are shown on each finding.