Agbemafle E E, Kubio C, Bandoh D, Odikro M A, Azagba C K, Issahaku R G, Sackey S O
Ghana Field Epidemiology and Laboratory Training Programme, Department of Epidemiology and Disease Control, School of Public Health, College of Health and Allied Sciences, University of Ghana, Legon, Ghana.
Savannah Regional Health Directorate, Ghana Health Service, Damongo, Ghana.
Public Health Pract (Oxf). 2023 Jul 29;6:100414. doi: 10.1016/j.puhip.2023.100414. eCollection 2023 Dec.
We evaluated the malaria surveillance system in Adaklu District of the Volta Region of Ghana to determine if the system was meeting its objectives and assessed its usefulness and attributes.
Descriptive cross-sectional design was used in evaluating the surveillance system.
We interviewed stakeholders using a semi-structured questionnaire on case detection and reporting. We assessed the system attributes using the Centers for Disease Control and Prevention updated guidelines for evaluating public health surveillance systems. We extracted and reviewed malaria surveillance data from the District Health Management Information System 2. Summary statistics and direct content analysis were performed on quantitative and qualitative data respectively.
Of the 80,441 suspected malaria cases recorded in Adaklu District from 2014 to 2018, 47,917 (59.6%) cases were confirmed. The system was meeting its objective of detecting malaria cases and monitoring trends in the population however, the system missed an epidemic in August 2016. Data generated from the surveillance system is used by the NMCP to aid in the distribution of logistics such as LLINs, RDT test kits, and track malaria control progress in the district. Staff at all levels were able to detect, confirm, treat and report malaria. All sub-districts/health facilities reported to the district and reports were all accurate and timely. The predictive value positive was 62.9%.
The malaria surveillance system in Adaklu District was useful and meeting its set objective of monitoring trends of malaria in the population. It was simple, flexible, acceptable and representative; however, the system was not detecting epidemics. The District Health Management Team should set alert and epidemic thresholds to help detect promptly epidemics of malaria in the district.
我们对加纳沃尔特地区阿达克鲁区的疟疾监测系统进行了评估，以确定该系统是否实现其目标，并评估其有用性和属性。
采用描述性横断面设计对监测系统进行评估。
我们使用半结构化问卷就病例检测和报告情况对利益相关者进行了访谈。我们依据美国疾病控制与预防中心更新的公共卫生监测系统评估指南对系统属性进行了评估。我们从地区卫生管理信息系统2中提取并审查了疟疾监测数据。分别对定量和定性数据进行了汇总统计和直接内容分析。
2014年至2018年期间，阿达克鲁区记录了80441例疑似疟疾病例，其中47917例（59.6%）得到确诊。该系统实现了检测疟疾病例和监测人群趋势的目标，然而，该系统未能发现2016年8月的一场疫情。国家疟疾控制项目利用监测系统生成的数据来协助分发诸如长效驱虫蚊帐、快速诊断检测试剂盒等物资，并跟踪该地区的疟疾控制进展。各级工作人员都能够检测、确诊、治疗和报告疟疾。所有分区/卫生设施都向该地区进行了报告，且报告均准确及时。阳性预测值为62.9%。
阿达克鲁区的疟疾监测系统有用，且实现了监测人群疟疾趋势的既定目标。它简单、灵活、可接受且具有代表性；然而，该系统未能发现疫情。地区卫生管理团队应设定警报和疫情阈值，以帮助及时发现该地区的疟疾疫情。
