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影响乌干达西阿乔利次区域实时抗逆转录病毒药物库存状况(RASS)数据质量和报告率的因素:一项混合方法横断面研究

Factors Affecting Data Quality and Reporting Rates for Real-Time ARV Stock Status (RASS) in the West Acholi Sub-Region, Uganda: A Mixed Methods Cross-Sectional Study.

作者信息

Ankwatsa Ignatius, Aguma Herbert Bush, Atwiine Fredrick, Kalidi Rajab

机构信息

Department of Pharmacy, Makerere University, College of Health Sciences, Kampala, Uganda.

Department of Pharmacy, Mbarara University of Science and Technology, Mbarara, Uganda.

出版信息

Integr Pharm Res Pract. 2025 Mar 18;14:45-57. doi: 10.2147/IPRP.S514648. eCollection 2025.

DOI:10.2147/IPRP.S514648
PMID:40125533
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC11929515/
Abstract

BACKGROUND

"The World Health Organization aims for universal HIV control by 2030, requiring robust healthcare infrastructure and efficient supply chain management". In Uganda, a functional real-time ARV Stock Status (RASS) monitoring system and dashboard was developed to provide real-time intelligent data and reliable and accurate information on antiretroviral drugs and other HIV commodities. This integrates data from different information systems for timely decision-making and supports evidence-based ARV commodities supply chain management solutions. This study aimed to identify the factors influencing the quality and reporting rate for Real-Time ARV Stock Status (RASS) weekly reporting in public health facilities in the West Acholi sub-region of Uganda.

METHODS

A mixed-methods cross-sectional study was conducted in six public health facilities of the West Acholi sub-region. Quantitative data involved a review of 312 reports for the reporting rate. The available 180 RASS reports were reviewed for data quality; supplemental qualitative data was gathered through key informant interviews with 11 healthcare workers and stakeholders. Quantitative data was then cleaned using EPI data, and all the variables were coded and analyzed using SPSS version 21. The tables were then computed using the analyzed data from the software, and the pie charts were constructed using the Excel 2019 version. Thematic analysis was done for the key informant qualitative interviews.

RESULTS

Analysis of RASS reports revealed a mixed level of quality, with only 40 reports (22%) categorized as good quality. The overall reporting rate was slightly more than half, with only 180 reports (57.7%) of the expected reports. Key factors influencing data quality were infrastructural limitations, such as unreliable internet, lack of proper equipment, and staff transfers. Lack of training on RASS and limited leadership support were documented to influence the data quality and RASS reporting rate.

CONCLUSION

The quality of RASS reports could have been better than the national set targets. The reporting rate was slightly above average but far below the national set targets. Several factors affecting both the reporting rate and quality of reports were cited. These include staff attitude, knowledge gap, Staff transfers, poor internet connectivity, and lack of internet data bundles.

摘要

背景

“世界卫生组织的目标是到2030年实现普遍的艾滋病病毒控制,这需要强大的医疗基础设施和高效的供应链管理”。在乌干达,开发了一个实用的抗逆转录病毒药物库存实时状态(RASS)监测系统和仪表盘,以提供关于抗逆转录病毒药物及其他艾滋病病毒相关物资的实时智能数据以及可靠且准确的信息。这整合了来自不同信息系统的数据以便及时做出决策,并支持基于证据的抗逆转录病毒药物物资供应链管理解决方案。本研究旨在确定影响乌干达西阿乔利次区域公共卫生设施中抗逆转录病毒药物库存实时状态(RASS)每周报告质量和报告率的因素。

方法

在西阿乔利次区域的六个公共卫生设施中开展了一项混合方法的横断面研究。定量数据涉及对312份报告的报告率进行审查。对现有的180份RASS报告进行数据质量审查;通过与11名医护人员和利益相关者进行关键 informant 访谈收集补充定性数据。然后使用EPI数据清理定量数据,所有变量均使用SPSS 21版进行编码和分析。接着使用该软件分析的数据计算表格,并使用Excel 2019版构建饼图。对关键 informant 定性访谈进行主题分析。

结果

对RASS报告的分析显示质量参差不齐,只有40份报告(22%)被归类为高质量。总体报告率略高于一半,预期报告中只有180份(57.7%)。影响数据质量的关键因素包括基础设施限制,如网络不可靠、缺乏适当设备以及人员调动。记录显示缺乏关于RASS的培训以及有限的领导支持会影响数据质量和RASS报告率。

结论

RASS报告的质量本可以高于国家设定的目标。报告率略高于平均水平,但远低于国家设定的目标。列举了几个影响报告率和报告质量的因素。这些因素包括工作人员态度、知识差距、人员调动、网络连接差以及缺乏网络数据套餐。

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