埃塞俄比亚常规健康和营养数据的质量:系统审查
Taddese Alemu Zerfu1, Tirsit Genye1, Amare Abera Tareke1,2
1International Food Policy Research Institute (IFPRI), Addis Ababa, Ethiopia.
PloS one
|March 3, 2025
概括
埃塞俄比亚的健康管理信息系统 (HMIS) 数据,包括营养信息,显示在完整性,一致性和及时性方面存在重大差距. 解决能力和资源限制对于改善数据质量和决策至关重要.
科学领域:
- 公共卫生 公共卫生
- 医疗信息学 医疗信息学
- 数据质量评估数据质量评估
背景情况:
- 高质量的健康数据对于有效的决策和人口健康至关重要.
- 了解埃塞俄比亚常规健康管理信息系统 (HMIS) 的可靠性,包括营养数据,是有限的.
- 这项研究解决了埃塞俄比亚各地区关于HMIS数据质量的知识差距.
研究的目的:
- 系统地审查和评估埃塞俄比亚卫生管理信息系统 (HMIS) 数据的质量.
- 评估HMIS和营养数据的完整性,一致性和及时性.
- 确定导致埃塞俄比亚HMIS数据质量差的因素.
主要方法:
- 在PubMed,HINARI和Google Scholar的系统文献搜索中,寻找2015年以后的研究.
- 使用世卫组织定义的指标评估HMIS数据质量:完整性,一致性和及时性.
- 包括各种区域研究,并探索数据质量问题的定性原因.
主要成果:
- 25项研究符合纳入标准;报告的完整性各不相同 (50%-100%),只有21%的研究超过90%.
- 一致性在38.9%至90.5%之间,只有6%超过90%;及时性也显示出显著的变化 (41.9%-93.7%).
- 包括营养数据在内的数据质量差与人力资源短缺,能力建设不足,行为因素和基础设施缺陷有关.
结论:
- 埃塞俄比亚的HMIS数据,包括营养数据,在完整性,一致性和及时性方面存在缺陷.
- 能力和资源限制是这些数据质量问题的主要驱动因素.
- 优先考虑资源分配,员工培训,监督和反机制对于提高数据质量和改善健康结果至关重要.
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