Wilkins K, Nsubuga P, Mendlein J, Mercer D, Pappaioanou M
National Center for Immunization and Respiratory Disease, Centers for Disease Control and Prevention, Atlanta, Georgia 30333, USA.
Public Health. 2008 Sep;122(9):914-22. doi: 10.1016/j.puhe.2007.11.002. Epub 2008 May 19.
By using timely, high-quality information, ministries of health can identify and address priority health problems in their populations more effectively and efficiently. The Data for Decision Making (DDM) project developed a conceptual model for a data-driven health system. This model included a systematic methodology for assessing access to information to be used as a basis for improvement in national health surveillance systems.
The DDM surveillance assessment methodology was applied to six systems in five countries by staff from the US Centers for Disease Control and Prevention (CDC). Ministry of health personnel at national, regional, district and local levels were interviewed using either informal conversation or an interview guide approach, and their methods for collecting and using data were reviewed. Attributes of timeliness, accuracy, simplicity, flexibility, acceptability and usefulness were examined. Problems and their underlying causes were identified.
The problems preventing decision makers from having access to information are many and complex. The assessments identified no fewer than eight problem areas that impeded decision makers' access to information. The most common deficiencies were concerning the design of the system, ongoing training of personnel and dissemination of data from the system.
To improve the availability of information to public health decision makers, it is recommended that: (a) surveillance system improvement begins with a thorough evaluation of existing systems using approaches outlined by the CDC and the Health Metric Network of the World Health Organization; (b) evaluations be designed to identify specific causes of these deficiencies; (c) interventions for improving systems be directly linked to results of the evaluations; and (d) efforts to improve surveillance systems include sustained attention to underlying issues of training and staff support. The assessment tool presented in this report can be used to facilitate this process.
通过使用及时、高质量的信息,各国卫生部能够更有效且高效地识别并解决其民众面临的重点卫生问题。决策数据(DDM)项目开发了一个数据驱动型卫生系统的概念模型。该模型包含一种系统方法,用于评估信息获取情况,以此作为改进国家卫生监测系统的基础。
美国疾病控制与预防中心(CDC)的工作人员将DDM监测评估方法应用于五个国家的六个系统。通过非正式交谈或访谈指南的方式,对国家、区域、地区和地方各级的卫生部人员进行了访谈,并审查了他们收集和使用数据的方法。对及时性、准确性、简单性、灵活性、可接受性和有用性等属性进行了考察。识别出了问题及其潜在原因。
阻碍决策者获取信息的问题众多且复杂。评估发现至少有八个问题领域阻碍了决策者获取信息。最常见的不足之处涉及系统设计、人员的持续培训以及系统数据的传播。
为提高公共卫生决策者获取信息的便利性,建议如下:(a)监测系统的改进应从使用美国疾病控制与预防中心和世界卫生组织卫生计量网络概述的方法对现有系统进行全面评估开始;(b)评估应旨在识别这些不足的具体原因;(c)改进系统的干预措施应与评估结果直接相关;(d)改进监测系统的努力应持续关注培训和人员支持等潜在问题。本报告中提出的评估工具可用于推动这一进程。