Community-Based Knowledge Translation Strategies for Maternal, Neonatal, and Perinatal Outcomes: A Systematic Review of Quantitative and Qualitative Data

基于社区的知识转化策略在孕产妇、新生儿和围产期结局中的应用:定量和定性数据的系统评价

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Abstract

Objective: To identify and assess the effect of community-based Knowledge Translation Strategies (KTS) on maternal, neonatal, and perinatal outcomes. Methods: We conducted systematic searches in Medline, Embase, CENTRAL, CINAHL, PsycInfo, LILACS, Wholis, Web of Science, ERIC, Jstor, and Epistemonikos. We assessed the certainty of the evidence of the studies using the Grading of Recommendations Assessment, Development, and Evaluation (GRADE) framework. Results: We identified seven quantitative and seven qualitative studies. Quantitative findings suggest that there is a possible effect on reducing maternal mortality (RR 0.65; 95% CI, 0.48-0.87; moderate evidence certainty); neonatal mortality (RR 0.79; 95% CI 0.70-0.90; moderate evidence certainty); and perinatal mortality (RR 0.84; 95% CI 0.77-0.91; moderate evidence certainty) in women exposed to KTS compared to those who received conventional interventions or no intervention at all. Analysis of qualitative studies identified elements that allowed to generate benefit effects in improving maternal, neonatal, and perinatal outcomes. Conclusion: The KTS in maternal, neonatal, and perinatal outcomes might encourage the autonomy of communities despite that the certainty of evidence was moderate.

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