Mpimbaza Arthur, Miles Melody, Sserwanga Asadu, Kigozi Ruth, Wanzira Humphrey, Rubahika Denis, Nasr Sussann, Kapella Bryan K, Yoon Steven S, Chang Michelle, Yeka Adoke, Staedke Sarah G, Kamya Moses R, Dorsey Grant
Child Health and Development Centre, Makerere University College of Health Sciences, Kampala, Uganda; Infectious Diseases Research Collaboration, Kampala, Uganda; National Malaria Control Program, Ministry of Health Uganda, Kampala, Uganda; US President's Malaria Initiative, Malaria Branch, Centers for Disease Control and Prevention, Atlanta, Georgia; School of Public Health, Makerere University College of Health Sciences, Kampala, Uganda; London School of Hygiene and Tropical Medicine, London, United Kingdom; Department of Medicine, Makerere University College of Health Sciences, Kampala, Uganda; Department of Medicine, San Francisco General Hospital, University of California, San Francisco, California
Child Health and Development Centre, Makerere University College of Health Sciences, Kampala, Uganda; Infectious Diseases Research Collaboration, Kampala, Uganda; National Malaria Control Program, Ministry of Health Uganda, Kampala, Uganda; US President's Malaria Initiative, Malaria Branch, Centers for Disease Control and Prevention, Atlanta, Georgia; School of Public Health, Makerere University College of Health Sciences, Kampala, Uganda; London School of Hygiene and Tropical Medicine, London, United Kingdom; Department of Medicine, Makerere University College of Health Sciences, Kampala, Uganda; Department of Medicine, San Francisco General Hospital, University of California, San Francisco, California.
Am J Trop Med Hyg. 2015 Jan;92(1):18-21. doi: 10.4269/ajtmh.14-0284. Epub 2014 Nov 24.
The primary source of malaria surveillance data in Uganda is the Health Management Information System (HMIS), which does not require laboratory confirmation of reported malaria cases. To improve data quality, an enhanced inpatient malaria surveillance system (EIMSS) was implemented with emphasis on malaria testing of all children admitted in select hospitals. Data were compared between the HMIS and the EIMSS at four hospitals over a period of 12 months. After the implementation of the EIMSS, over 96% of admitted children under 5 years of age underwent laboratory testing for malaria. The HMIS significantly overreported the proportion of children under 5 years of age admitted with malaria (average absolute difference = 19%, range = 8-27% across the four hospitals) compared with the EIMSS. To improve the quality of the HMIS data for malaria surveillance, the National Malaria Control Program should, in addition to increasing malaria testing rates, focus on linking laboratory test results to reported malaria cases.
乌干达疟疾监测数据的主要来源是卫生管理信息系统(HMIS),该系统并不要求对报告的疟疾病例进行实验室确诊。为提高数据质量,实施了强化住院疟疾监测系统(EIMSS),重点是对选定医院收治的所有儿童进行疟疾检测。在12个月的时间里,对四家医院的HMIS和EIMSS数据进行了比较。EIMSS实施后,超过96%的5岁以下入院儿童接受了疟疾实验室检测。与EIMSS相比,HMIS显著高估了5岁以下疟疾入院儿童的比例(四家医院的平均绝对差异为19%,范围为8%-27%)。为提高疟疾监测的HMIS数据质量,国家疟疾控制项目除提高疟疾检测率外,还应着重将实验室检测结果与报告的疟疾病例相联系。