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埃塞俄比亚东南部巴勒州金尼尔区麻疹监测系统评估:一项同步嵌入式混合定量/定性研究

Evaluation of Measles Surveillance Systems in Ginnir District, Bale Zone, Southeast Ethiopia: A Concurrent Embedded Mixed Quantitative/Qualitative Study.

作者信息

Kalil Falaho Sani, Bedaso Mohammed Hasen, Abdulle Mohammed Seid, Mohammed Nuriya Umer

机构信息

Negelle Borena Health Science College, Negelle Borena, Oromia Regional State, Ethiopia.

Public Health Emergency Management Department, East Bale Zonal Health Office, Ginnir, Ethiopia.

出版信息

Risk Manag Healthc Policy. 2021 Mar 11;14:997-1008. doi: 10.2147/RMHP.S295889. eCollection 2021.

DOI:10.2147/RMHP.S295889
PMID:33737840
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC7961143/
Abstract

BACKGROUND

Public health surveillance systems should be evaluated periodically to ensure the problems of public health importance are being monitored efficiently and effectively. Despite the widespread measles outbreak in Ginnir district of Ethiopia in 2019, an evaluation of measles surveillance systems has not been conducted. Therefore, we evaluated the performance of measles surveillance systems and key attributes in Ginnir district, Southeast Ethiopia.

METHODS

We conducted a concurrent embedded mixed quantitative/qualitative study in August 2019 among 15 health facilities/study units in Ginnir district. The qualitative study involved a purposively selected 15 key-informants. Data were collected using updated guidelines for evaluating surveillance systems based on CDC's Framework.

RESULTS

Records of 15 study units were reviewed and 15 key informants participated. The structure of surveillance data flow was from the community to the respective upper level. Emergency preparedness and a response plan was available only at the district level. Weekly report completeness and timeliness were 95% and 87% respectively. We found weak supportive supervision and feedback, and no regular analysis and interpretations of surveillance data. The participation of surveillance stakeholders in implementation of the system was good. The surveillance system was found to be useful, easy to implement, representative, and can accommodate and adapt to changing operating conditions. Report documentation and quality of data was poor at lower level health facilities. The stability of the system has been challenged by a shortage of budget, logistics, staff turnover and lack of update trainings.

CONCLUSION

The surveillance system was acceptable, useful, simple, flexible, and representative. Quality of data, timeliness, and the stability of the system were attributes that require improvement. The overall performance of measles surveillance systems in prevention and control of measles was weak. Hence, regular analysis of data, preparation, and dissemination of epidemiological bulletin, capacity building, and regular supervision and feedback are recommended to enhance performance of the system.

摘要

背景

公共卫生监测系统应定期进行评估,以确保对具有公共卫生重要性的问题进行有效且高效的监测。尽管2019年埃塞俄比亚金尼尔地区爆发了大规模麻疹疫情,但尚未对麻疹监测系统进行评估。因此,我们评估了埃塞俄比亚东南部金尼尔地区麻疹监测系统的性能和关键属性。

方法

2019年8月,我们在金尼尔地区的15个卫生设施/研究单位开展了一项同步嵌入式混合定量/定性研究。定性研究涉及特意挑选的15名关键信息提供者。数据收集采用基于美国疾病控制与预防中心框架的监测系统评估最新指南。

结果

审查了15个研究单位的记录,15名关键信息提供者参与其中。监测数据流的结构是从社区到各自的上级层面。仅在地区层面有应急准备和应对计划。每周报告的完整性和及时性分别为95%和87%。我们发现支持性监督和反馈薄弱,且没有对监测数据进行定期分析和解读。监测利益相关者对系统实施的参与度良好。该监测系统被认为有用、易于实施、具有代表性,并且能够适应不断变化的运行条件。较低层级卫生设施的数据报告记录和质量较差。系统的稳定性受到预算短缺、后勤保障、人员流动以及缺乏更新培训的挑战。

结论

该监测系统是可接受的、有用的、简单的、灵活的且具有代表性。数据质量、及时性和系统稳定性是需要改进的属性。麻疹监测系统在麻疹预防和控制方面的整体表现较弱。因此,建议定期进行数据分析、编制和发布流行病学公报、开展能力建设以及进行定期监督和反馈,以提高系统性能。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5acd/7961143/5be94b5e0e91/RMHP-14-997-g0005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5acd/7961143/b04f5cd97f33/RMHP-14-997-g0001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5acd/7961143/e1a25bf52cf7/RMHP-14-997-g0002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5acd/7961143/139047350e04/RMHP-14-997-g0003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5acd/7961143/a1dade697378/RMHP-14-997-g0004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5acd/7961143/5be94b5e0e91/RMHP-14-997-g0005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5acd/7961143/b04f5cd97f33/RMHP-14-997-g0001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5acd/7961143/e1a25bf52cf7/RMHP-14-997-g0002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5acd/7961143/139047350e04/RMHP-14-997-g0003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5acd/7961143/a1dade697378/RMHP-14-997-g0004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5acd/7961143/5be94b5e0e91/RMHP-14-997-g0005.jpg

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