改善印度尼西亚的常规健康数据:利用世卫组织数据质量工具进行应用数据健康数据
G Y Sanjaya1, K Fauziah1, R A Pratama1
1Universitas Gadjah Mada, Faculty of Medicine, Public Health and Nursing, Department of Health Policy and Management, Yogyakarta, Indonesia.
印度尼西亚的常规健康数据
科学领域:
- 医疗信息学 医疗信息学
- 数据质量评估数据质量评估
- 公共卫生数据管理公共卫生数据管理
背景情况:
- 大数据需要强有力的数据质量评估,以有效管理健康数据.
- 在例行健康数据质量保证中存在差距,影响了问责制.
- 改善日常健康数据的质量对于印度尼西亚的初级卫生系统,Application Satu Data Kesehatan (ASDK) 来说至关重要.
研究的目的:
- 评估和改善印度尼西亚ASDK的常规健康信息的数据质量.
- 确定在健康数据管理和利用方面需要改进的领域.
- 通过严格的数据质量检查,确保问责制.
主要方法:
- 一个使用桌面审查方法的描述性研究.
- 采用了世界卫生组织 (WHO) 的数据质量保证 (DQA) 工具.
- 评估了ASDK和2022年印度尼西亚地质状况调查 (SSGI) 的八个健康指标,重点关注完整性,一致性和异常值.
主要成果:
- 印度尼西亚的常规健康数据在完整性和内部一致性方面表现出高质量的数据.
- 在ASDK数据中,变量完整性达到很高的水平,大多数变量达到100%的完整性.
- 该研究确定了数据完整性和内部一致性方面的强表现.
结论:
- 根据五个评估维度,ASDK数据在完整性和内部一致性方面表现出高质量.
- 在完整性和内部一致性方面,印度尼西亚的常规健康数据质量很强.
- 这些发现支持ASDK在健康数据管理和决策方面的可靠性.
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