印度移动医疗干预对健康的影响:系统回顾和荟萃分析

Online journal of public health informatics Pub Date : 2023-09-04 eCollection Date: 2023-01-01 DOI:10.2196/50927
Vibha Joshi, Nitin Kumar Joshi, Pankaj Bhardwaj, Kuldeep Singh, Deepika Ojha, Yogesh Kumar Jain
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引用次数: 0

摘要

移动健康干预措施已得到大量使用,这些干预措施对健康和卫生服务提供过程产生了有益影响,尤其是在资源有限的环境中。移动电话的各种功能为mHealth干预提供了一系列机会。本综述旨在评估mHealth干预措施对印度健康的影响。这项系统综述和荟萃分析是根据PRISMA(系统综述和元分析的首选报告项目)指南进行的。考虑了2011年4月1日至2021年3月31日期间在印度进行的研究。使用不同数据库中的MeSH(医学主题标题)术语组合进行文献检索,以确定同行评审的出版物。1350篇文章中有13篇被列入最后审查。使用随机对照试验中的“偏倚风险2”工具和非随机研究中的“干预措施的偏倚风险”工具(用于非随机试验)评估偏倚风险,并使用RevMan对孕产妇、新生儿和儿童健康的3项可比研究进行荟萃分析。荟萃分析显示,妇幼保健服务的使用有所改善,包括补充铁-叶酸(比值比[OR]14.30,95%CI 6.65-30.75)、两剂破伤风类毒素的给药(比值比2.47,95%CI 0.22-27.37)、,以及参加4次或4次以上的产前检查(or 1.82,95%CI 0.65-5.09)。由于异质性,无法对有关经济评估和慢性病的研究进行荟萃分析。然而,从社会角度观察到了积极的经济影响(ReMiND[减少孕产妇和新生儿死亡]和ImTeCHO[社区卫生运营创新移动技术]干预措施),慢性病干预措施对临床结果、患者和提供者满意度、应用程序使用和健康行为改善都有积极影响。这篇综述全面概述了印度所有卫生部门的mHealth技术,分析了针对妇幼健康和慢性病的干预措施的卫生和医疗保健使用指标。PROSPERO 2021 CRD42021235315;https://tinyurl.com/yh4tp2j7
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The Health Impact of mHealth Interventions in India: Systematic Review and Meta-Analysis.

Background: Considerable use of mobile health (mHealth) interventions has been seen, and these interventions have beneficial effects on health and health service delivery processes, especially in resource-limited settings. Various functionalities of mobile phones offer a range of opportunities for mHealth interventions.

Objective: This review aims to assess the health impact of mHealth interventions in India.

Methods: This systematic review and meta-analysis was conducted in accordance with the PRISMA (Preferred Reporting Items for Systematic Reviews and Meta-Analyses) guidelines. Studies conducted in India, and published between April 1, 2011, and March 31, 2021, were considered. A literature search was conducted using a combination of MeSH (Medical Subject Headings) terms in different databases to identify peer-reviewed publications. Thirteen out of 1350 articles were included for the final review. Risk of bias was assessed using the Risk of Bias 2 tool for RCTs and Risk Of Bias In Non-randomised Studies - of Interventions tool (for nonrandomized trials), and a meta-analysis was performed using RevMan for 3 comparable studies on maternal, neonatal, and child health.

Results: The meta-analysis showed improved usage of maternal and child health services including iron-folic acid supplementation (odds ratio [OR] 14.30, 95% CI 6.65-30.75), administration of both doses of the tetanus toxoid (OR 2.47, 95% CI 0.22-27.37), and attending 4 or more antenatal check-ups (OR 1.82, 95% CI 0.65-5.09). Meta-analysis for studies concerning economic evaluation and chronic diseases could not be performed due to heterogeneity. However, a positive economic impact was observed from a societal perspective (ReMiND [reducing maternal and newborn deaths] and ImTeCHO [Innovative Mobile Technology for Community Health Operation] interventions), and chronic disease interventions showed a positive impact on clinical outcomes, patient and provider satisfaction, app usage, and improvement in health behaviors.

Conclusions: This review provides a comprehensive overview of mHealth technology in all health sectors in India, analyzing both health and health care usage indicators for interventions focused on maternal and child health and chronic diseases.

Trial registration: PROSPERO 2021 CRD42021235315; https://tinyurl.com/yh4tp2j7.

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