使用DHIS2数据追踪全球南方关键健康指标进展的路线图:撒哈拉以南非洲的经验
Andrea Farnham1,2, Georg Loss3,4, Isaac Lyatuu3,4,5
1Swiss Tropical and Public Health Institute, Kreuzstrasse 2, 4123 Allschwil, Basel, Switzerland. andrea.farnham@swisstph.ch.
BMC public health
|May 31, 2023
概括
来自2区卫生信息系统 (DHIS2) 的高质量的健康数据对于国家卫生系统至关重要. 本研究确定了关键指标,并提供了改善DHIS2数据质量的解决方案,以获得更好的健康结果.
科学领域:
- 公共卫生 公共卫生
- 医疗信息学 医疗信息学
- 数据科学数据科学数据科学
背景情况:
- 高质量的健康数据对于强大的国家卫生系统至关重要.
- 地区卫生信息系统2 (DHIS2) 在低收入和中等收入国家广泛用于健康管理信息系统 (HMIS).
- 在充分利用DHIS2数据以实现国家和国际卫生目标方面,仍然存在挑战.
研究的目的:
- 在DHIS2中确定关键健康指标,用于跟踪撒哈拉以南非洲的可持续发展目标 (SDGs).
- 提出一个路线图,以提高DHIS2数据质量和一致性.
- 专注于为DHIS2数据分析师提供可操作的解决方案.
主要方法:
- 对撒哈拉以南非洲国家相关健康指标的DHIS2数据的分析.
- 识别常见的数据质量问题 (例如,不可靠的分母,报告不一致性).
- 开发分析解决方案,包括数据清理管道,k-means集群和归算方法.
主要成果:
- 关键的儿童和母亲健康指标被追踪在DHIS2.
- 像艾滋病毒/艾滋病这样的指标需要简化和标准化定义.
- 常见的数据陷包括不可靠的分母和程序不一致性.
- 拟议的分析解决方案解决了在分析层面的数据质量问题.
结论:
- 改善DHIS2数据质量对于加强HMIS和实现卫生优先事项至关重要.
- 可操作的解决方案可以使DHIS2分析师能够提高数据利用率.
- 对数据质量和监测的投资对于提高全球对健康数据的关注至关重要.
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