Weber Scott
Nursing Education Graduate Program, University of Pittsburgh School of Nursing, Pittsburgh, PA 15261, USA.
J Am Acad Nurse Pract. 2007 Dec;19(12):652-67. doi: 10.1111/j.1745-7599.2007.00266.x.
The purpose of this study was to generate a grounded theory that will reflect the experiences of advanced practice nurses (APNs) working as critical care nurse practitioners (NPs) and clinical nurse specialists (CNS) with computer-based decision-making systems.
A study design using grounded theory qualitative research methods and convenience sampling was employed in this study. Twenty-three APNs (13 CNS and 10 NPs) were recruited from 16 critical care units located in six large urban medical centers in the U.S. Midwest. Single-structured in-depth interviews with open-ended audio-taped questions were conducted with each APN. Through this process, APNs defined what they consider to be relevant themes and patterns of clinical decision system use in their critical care practices, and they identified the interrelatedness of the conceptual categories that emerged from the results. Data were analyzed using the constant comparative analysis method of qualitative research.
APN participants were predominantly female, white/non-Hispanic, had a history of access to the clinical decision system used in their critical care settings for an average of 14 months, and had attended a formal training program to learn how to use clinical decision systems. "Forecasting decision outcomes," which was defined as the voluntary process employed to forecast the outcomes of patient care decisions in critical care prior to actual decision making, was the core variable describing system use that emerged from the responses. This variable consisted of four user constructs or components: (a) users' perceptions of their initial system learning experience, (b) users' sense of how well they understand how system technology works, (c) users' understanding of how system inferences are created or derived, and (d) users' relative trust of system-derived data. Each of these categories was further described through the grounded theory research process, and the relationships between the categories were identified.
The findings of this study suggest that the main reason critical care APNs choose to integrate clinical decision systems into their practices is to provide an objective, scientifically derived, technology-based backup for human forecasting of the outcomes of patient care decisions prior to their actual decision making. Implications for nursing, health care, and technology research are presented.
本研究旨在生成一种扎根理论,以反映担任重症护理执业护士(NP)和临床护理专家(CNS)的高级实践护士(APN)使用基于计算机的决策系统的经历。
本研究采用扎根理论定性研究方法和便利抽样的研究设计。从美国中西部六个大型城市医疗中心的16个重症监护病房招募了23名APN(13名CNS和10名NP)。对每位APN进行了单结构深度访谈,访谈采用开放式录音问题。通过这个过程,APN定义了他们认为在重症护理实践中临床决策系统使用的相关主题和模式,并确定了结果中出现的概念类别之间的相互关系。使用定性研究的持续比较分析法对数据进行分析。
APN参与者主要为女性、白人/非西班牙裔,平均有14个月使用其重症监护环境中使用的临床决策系统的经历,并参加过学习如何使用临床决策系统的正式培训项目。“预测决策结果”被定义为在实际决策之前用于预测重症护理中患者护理决策结果的自愿过程,是从回复中出现的描述系统使用的核心变量。这个变量由四个用户结构或组成部分组成:(a)用户对其初始系统学习体验的感知,(b)用户对他们对系统技术工作原理的理解程度的感觉,(c)用户对系统推论如何创建或推导的理解,以及(d)用户对系统衍生数据的相对信任。这些类别中的每一个都通过扎根理论研究过程得到了进一步描述,并确定了类别之间的关系。
本研究结果表明,重症护理APN选择将临床决策系统整合到其实践中的主要原因是为在实际决策之前对患者护理决策结果进行人为预测提供客观、科学推导的基于技术的支持。还提出了对护理、医疗保健和技术研究的启示。