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关于DHIS2和源文件之间的关键疟疾指标数据的一致性,以及乌干达东部公共初级卫生设施的影响因素:混合方法研究

Shivan Nuwasiima¹, Arthur Mpimbaza², Laban Muteebwa³

¹Clinical Epidemiology Unit, School of Medicine, College of Health Sciences, Makerere University, Kampala, Uganda. nsnshivan@gmail.com.

Malaria journal

|August 20, 2025

概括

乌干达地区卫生信息系统2 (DHIS2) 的疟疾监测数据与设施记录的一致性很低. 确保训练有素的工作人员及时报告对于改善疟疾控制工作数据质量至关重要.

科学领域:

公共卫生公共卫生
医疗信息学医疗信息学
流行病学流行病学

背景情况:

有效的疟疾监测对于撒哈拉以南非洲的疟疾控制至关重要.
乌干达在2012年实施了区卫生信息系统2 (DHIS2),但对数据质量存在担忧.
这项研究评估了DHIS2疟疾数据与Mayuge地区的源文件的一致性.

研究的目的:

为了评估DHIS2疟疾数据和设施源文件之间的协议.
为了确定影响Mayuge地区初级卫生设施数据一致性的因素.

主要方法:

一项与之并行的融合混合方法研究,涉及12个公共卫生机构.
对DHIS2每周报告和设施源文件 (2021-2022) 的回顾性审查.
与设施人员进行深入采访;修改了与测试阳性率 (TPR) 相对应因素的Poisson回归.

主要成果:

疑似疟疾病例的一致性为36.7%,疑似病例测试53.6%,测试阳性病例55.3%,TPR为56.8%.
卫生管理信息系统 (HMIS) 人员的存在,及时报告和RDT库存缺口与一致性有关.
定性数据确定了数据验证和HMIS数据的感知价值作为促进者;培训不足和R&DT库存不足作为障碍.

结论:

在DHIS2中疟疾指标一致性低于WHO标准的≥80%.
经过培训的数据人员 (数据员) 和及时报告显著改善了数据一致性.
建议包括投资培训人员,并探索电子初级数据捕获以提高DHIS2数据质量.

关键词:

在 DHIS2 中使用 DHIS2.数据一致性数据一致性他的外套是HMIS.疟疾指标疟疾指标

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