释放数据科学在改善非洲母亲,新生儿和儿童健康方面的变革潜力:一个范围审查协议
Joseph Akuze1,2,3, Bancy Ngatia2, Samson Yohannes Amare4
1Centre of Excellence for Maternal Newborn and Child Health Research, Makerere University School of Public Health, Kampala, Uganda joseph.waiswa@lshtm.ac.uk.
BMJ open
|December 10, 2024
概括
在非洲,对母亲,新生儿和儿童健康 (MNCH) 的数据科学应用没有充分的记录. 本综述绘制了数据科学用例,以改善MNCH结果并为未来的战略提供信息.
科学领域:
- 公共卫生, 数据科学, 数字健康, 健康信息学
背景情况:
- 非洲的母亲,新生儿和儿童健康 (MNCH) 面临着进展缓慢和数据科学应用变化的挑战.
- 准确的数据对于问责制和实现MNCH的可持续发展目标3目标至关重要.
- 数据科学有潜力提高数据的可用性,质量,医疗保健服务和MNCH计划中的决策.
研究的目的:
- 绘制和综合当前的数据科学用例在非洲各地的MNCH.
- 识别数据科学在MNCH应用中的差距,机遇和创新.
- 为在非洲的MNCH项目中整合和扩大数据科学提供建议.
主要方法:
- 将采用范围审查方法,利用七个数据库和灰色文献来源的文献搜索.
- 数据提取将使用数字健康地图进行,有三名审查员选和提取数据.
- 一个包含基础设施,数据质量,治理,技术创新,能力发展和合作的概念框架将指导审查.
主要成果:
- 该综述将介绍非洲MNCH数据科学应用的叙事综合,以表格,图形和地图为支持.
- 结果将突出现有进展,实施策略和需要进一步研究的领域.
- 这项研究将阐明具体的数据科学应用,解决MNCH的挑战,并确定利用现有资源的机会.
结论:
- 这一范围审查将提供非洲MNCH数据科学的整体概述,确定关键的差距和机会.
- 这些发现将为利益相关者,决策者和研究人员提供信息,以加强数据科学在MNCH计划中的整合.
- 将提出建议,以改善社区和临床环境中的数据科学应用,以获得更好的MNCH结果.
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