College of Nursing, University of Wisconsin-Milwaukee, Milwaukee, WI 53201, USA.
Public Health Nurs. 2012 Jul-Aug;29(4):352-60. doi: 10.1111/j.1525-1446.2012.01008.x. Epub 2012 Mar 20.
Many public health electronic health systems lack the specificity to distinguish between individual- and population-based levels of care provided by public health nurses. Data that describe the broad scope of the everyday practice of public health nurses are critical to providing evidence of their effectiveness in promoting community health, which may not be fully appreciated in an arena of scarce resources. This article describes a method to document population-based nursing practice by adding population-based interventions to the nursing taxonomy underlying an electronic health information system. These interventions, derived from the Intervention Wheel, were incorporated into the Omaha System taxonomy, the conceptual framework for the Automated Community Health Information System (ACHIS), which is a longstanding data system used to capture nursing practice in community nursing centers. This article includes a description of the development and testing of the system's ability to capture the practice of the district public health nurse model. This method of adapting an existing data system to capture population-based interventions could be replicated by public health administrators interested in better evaluating the processes and outcomes of public health nursing and other public health professionals.
许多公共卫生电子健康系统缺乏区分公共卫生护士提供的个体和群体护理水平的特异性。描述公共卫生护士日常实践广泛范围的数据对于提供证据证明他们在促进社区健康方面的有效性至关重要,而在资源稀缺的情况下,这一点可能未得到充分认识。本文描述了一种通过向电子健康信息系统中底层护理分类法添加基于人群的干预措施来记录基于人群的护理实践的方法。这些干预措施源自干预轮,已被纳入奥马哈系统分类法中,奥马哈系统分类法是自动化社区健康信息系统(ACHIS)的概念框架,ACHIS 是一个长期使用的数据系统,用于捕捉社区护理中心的护理实践。本文包括对系统捕捉地区公共卫生护士模型实践能力的开发和测试的描述。有兴趣更好地评估公共卫生护理和其他公共卫生专业人员的流程和结果的公共卫生管理人员可以复制这种利用现有数据系统捕捉基于人群的干预措施的方法。