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基于技术的创新型医疗保健解决方案,以改善中低收入国家的母婴健康结局:一项网络荟萃分析方案。

Technology-based innovative healthcare solutions for improving maternal and child health outcomes in low- and middle-income countries: A network meta-analysis protocol.

机构信息

Department of Global Health Nursing, Graduate School of Nursing Science, St. Luke's International University, Tokyo, Japan.

Center for Surveillance, Immunization, and Epidemiologic Research, National Institute of Infectious Diseases, Tokyo, Japan.

出版信息

Nurs Open. 2023 Jan;10(1):367-376. doi: 10.1002/nop2.1310. Epub 2022 Aug 17.

DOI:10.1002/nop2.1310
PMID:35978460
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC9748107/
Abstract

AIM

The aims of the study were to synthesize the role of technology-based healthcare interventions (TBIs) and to identify the most effective interventions for the best functional maternal and child health (MCH) outcomes among low-risk pregnant women in low- and middle-income countries (LMICs).

DESIGN

A systematic review and network meta-analysis (NMA).

METHODS

We will perform a comprehensive search in electronic databases and other resources to identify relevant randomized controlled trials. Two reviewers will independently perform study selection, data extraction and quality assessment. Our primary outcomes include proportion of recommended antenatal care visits, skilled delivery care, postnatal care visits and exclusive breastfeeding practices. We will use pairwise random-effects meta-analysis and NMAs to estimate direct, indirect and relative effects using the relevant intervention classifications for each outcome separately. We plan to assess hierarchy of interventions, statistical inconsistency and certainty of evidence.

RESULTS

This review will compare the effectiveness of different form of TBIs on a comprehensive range of MCH outcomes and will provide the outcome-specific reliable evidence of the most effective interventions on improving MCH in LMICs. The review findings will guide researchers, stakeholders or policymakers on the potential use of TBIs in the given contexts that could achieve the best functional MCH outcomes in LMICs.

摘要

目的

本研究旨在综合评估基于技术的医疗干预措施(TBIs)的作用,并确定在中低收入国家(LMICs)低风险孕妇中,哪些干预措施最能有效改善母婴健康(MCH)结局。

设计

系统评价和网络荟萃分析(NMA)。

方法

我们将全面检索电子数据库和其他资源,以确定相关的随机对照试验。两位评审员将独立进行研究选择、数据提取和质量评估。我们的主要结局包括推荐的产前检查次数、熟练分娩护理、产后检查次数和纯母乳喂养的比例。我们将使用两两随机效应荟萃分析和 NMA 来估计直接、间接和相对效应,分别针对每个结局使用相关的干预分类。我们计划评估干预措施的层次结构、统计不一致性和证据确定性。

结果

本综述将比较不同形式的 TBI 在广泛的母婴健康结局方面的有效性,并为改善 LMIC 母婴健康的最有效干预措施提供特定结局的可靠证据。综述结果将为研究人员、利益相关者或决策者提供指导,帮助他们在特定背景下考虑使用 TBI,以实现 LMIC 中最佳的母婴健康功能结局。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/debb/9748107/59917fd81e9d/NOP2-10-367-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/debb/9748107/59917fd81e9d/NOP2-10-367-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/debb/9748107/59917fd81e9d/NOP2-10-367-g001.jpg

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Updated guidance for trusted systematic reviews: a new edition of the Cochrane Handbook for Systematic Reviews of Interventions.《可信系统评价的更新指南:干预措施系统评价的新版Cochrane手册》
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