Mekonen Zelalem Tilahun, Cho Denny J, Fenta Teferi Gedif
Department of Pharmaceutics and Social Pharmacy, Addis Ababa University, Addis Ababa, Ethiopia.
Logistics Department, Kyrgyz State Technical University, Bishkek, Kyrgyzstan.
J Multidiscip Healthc. 2025 Jan 17;18:255-266. doi: 10.2147/JMDH.S498995. eCollection 2025.
Access to essential medicines is limited in developing countries mainly due to inefficiencies in health supply chain management, such as the absence of standard monitoring frameworks and poorly designed Logistics Management Information Systems (LMIS). Health supply chain managers need accurate and timely data for decision-making. However, routine health information systems suffer from poor data quality, reliance on paper-based reports, insufficient logistic formats, inadequate infrastructure, and limited human resources.
This study evaluates the data quality of LMIS for health commodities in public health facilities in the Amhara National Regional State of Ethiopia.
The study was conducted in Ethiopia's Amhara National Regional State. The study employed an institution-based concurrent mixed-methods design. Data collection involved 102 facilities selected through multi-stage stratified random sampling, adhering to sampling criteria set by USAID's Logistics Indicators Assessment Tool (LIAT). Data abstraction checklists were used to collect data.
Of the seven tracer medicines selected to evaluate data quality, there was substantial variability in inventory accuracy rates. Inventory discrepancies were significant, highlighting potential issues with manual and digital record-keeping systems, with overall mean physical and electronic inventory accuracy rates of 74.7% and 70.6%, respectively. Additionally, the Report and Requisition Form (RRF) showed trends of timely submission, with the overall mean percentage completeness for the seven tracer medicines at 90.2%. However, the data quality experienced fluctuations, with the overall average percentage of legality (authorization of LMIS reports) and the accuracy of the RRF at 77.2% and 76%, respectively.
The evaluation of data quality revealed significant discrepancies in physical and electronic records, with notable fluctuations in completeness, legality, legibility, and accuracy within the health LMIS. To rectify these issues, robust data quality verification processes, clear guidelines, targeted interventions, strengthened monitoring systems, regular audits, and comprehensive training for health supply chain staff are needed.
在发展中国家，基本药物的获取受到限制，主要原因是卫生供应链管理效率低下，例如缺乏标准监测框架以及物流管理信息系统（LMIS）设计不佳。卫生供应链管理者需要准确及时的数据来进行决策。然而，常规卫生信息系统存在数据质量差、依赖纸质报告、物流格式不足、基础设施不完善以及人力资源有限等问题。
本研究评估了埃塞俄比亚阿姆哈拉民族州公共卫生设施中卫生用品物流管理信息系统（LMIS）的数据质量。
该研究在埃塞俄比亚的阿姆哈拉民族州进行。研究采用了基于机构的并行混合方法设计。数据收集涉及通过多阶段分层随机抽样选择的102个设施，遵循美国国际开发署物流指标评估工具（LIAT）设定的抽样标准。使用数据提取清单来收集数据。
在选择用于评估数据质量的七种追踪药物中，库存准确率存在很大差异。库存差异显著，凸显了手动和数字记录系统可能存在的问题，实物和电子库存的总体平均准确率分别为74.7%和70.6%。此外，报告和请购单（RRF）显示出及时提交的趋势，七种追踪药物的总体平均完整性百分比为90.2%。然而，数据质量存在波动，物流管理信息系统报告的合法性（授权）总体平均百分比和请购单的准确率分别为77.2%和76%。
数据质量评估显示实物和电子记录存在重大差异，卫生物流管理信息系统在完整性、合法性、清晰度和准确性方面存在显著波动。为纠正这些问题，需要强大的数据质量验证流程、明确的指导方针、有针对性的干预措施、加强监测系统、定期审计以及对卫生供应链工作人员进行全面培训。
