How effective are community health workers in managing and preventing perinatal depression in sub-Saharan Africa? A systematic review of quantitative evidence
Bibliographic record
Abstract
The accessibility to the prevention and management of perinatal depression can be improved by using community health workers. This review was aimed at determining the effectiveness of interventions led by community health workers (CHWs) in reducing depressive symptoms and the prevalence of depression during the perinatal period. We conducted a search in PubMed, CINAHL, SCOPUS, and ProQuest Databases of Dissertation and Thesis (PQDT) to locate studies conducted in sub-Saharan Africa. We appraised the quality of eligible studies using standardized critical appraisal instruments from the Joanna Briggs Institute (JBI). We extracted data from the included studies using an a priori prepared data extraction tool. We pooled the findings of the studies using meta-analysis. The initial search yielded 199 studies, out of which we included 16 articles in this review. During the first 3 months after birth, CHW-led preventive psycho-social interventions reduced the risk of depressed mood by 35% [RR = 0.65(0.46,092)] [low-quality evidence]. The interventions reduced the risk of depressed mood by 32% 6-months post-birth [RR = 0.68(0.52, 0.87)] [very low-quality evidence]. The effect of the interventions is sustained through 9-12 months after birth resulting in a reduction in the risk of depressed mood by 38% [RR = 0.72(0.54,0.96)] [low-quality evidence]. Among women with moderate depressive symptoms, compared to usual care, CHW-led therapeutic psycho-social interventions reduced the symptoms by an average of 0.71 [SMD = -0.71 (-0.84, -0.59) units during the first 3 months after birth. The effect lasts 9-12 months after birth [SMD = -0.28 (-0.41, -0.15)] [Moderate-quality evidence]. In conclusion, the work of CHWs may be integrated into the prevention and management of perinatal depression after careful analysis of the feasibility, applicability and meaningfulness of the interventions to local context. High-quality randomized trials may help to inform further optimization of the role of CHWs in reducing the risk of depressed mood and depressive symptoms during perinatal period.
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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 | 0.032 | 0.114 |
| Meta-epidemiology (narrow) | 0.002 | 0.002 |
| Meta-epidemiology (broad) | 0.013 | 0.012 |
| Bibliometrics | 0.015 | 0.013 |
| Science and technology studies | 0.001 | 0.002 |
| Scholarly communication | 0.006 | 0.004 |
| Open science | 0.003 | 0.002 |
| Research integrity | 0.003 | 0.002 |
| Insufficient payload (model declined to judge) | 0.003 | 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 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".