Department of Health Management and Policy, School of Public Health, The University of Michigan, Ann Arbor, Michigan 48109-2029, USA.
J Am Med Inform Assoc. 2011 Dec;18 Suppl 1(Suppl 1):i51-61. doi: 10.1136/amiajnl-2010-000053. Epub 2011 Apr 12.
To develop a theoretically informed and empirically validated survey instrument for assessing prescribers' perception of computerized drug-drug interaction (DDI) alerts.
The survey is grounded in the unified theory of acceptance and use of technology and an adapted accident causation model. Development of the instrument was also informed by a review of the extant literature on prescribers' attitude toward computerized medication safety alerts and common prescriber-provided reasons for overriding. To refine and validate the survey, we conducted a two-stage empirical validation study consisting of a pretest with a panel of domain experts followed by a field test among all eligible prescribers at our institution.
The resulting survey instrument contains 28 questionnaire items assessing six theoretical dimensions: performance expectancy, effort expectancy, social influence, facilitating conditions, perceived fatigue, and perceived use behavior. Satisfactory results were obtained from the field validation; however, a few potential issues were also identified. We analyzed these issues accordingly and the results led to the final survey instrument as well as usage recommendations.
High override rates of computerized medication safety alerts have been a prevalent problem. They are usually caused by, or manifested in, issues of poor end user acceptance. However, standardized research tools for assessing and understanding end users' perception are currently lacking, which inhibits knowledge accumulation and consequently forgoes improvement opportunities. The survey instrument presented in this paper may help fill this methodological gap.
We developed and empirically validated a survey instrument that may be useful for future research on DDI alerts and other types of computerized medication safety alerts more generally.
开发一种理论上有依据且经实证验证的调查工具,用于评估医师对计算机药物相互作用(DDI)警报的感知。
该调查基于接受和使用技术的统一理论和改编的事故因果模型。该工具的开发还参考了关于医师对计算机药物安全警报的态度以及常见的医师忽略警报的原因的现有文献综述。为了完善和验证该调查,我们进行了一项包含两个阶段的实证验证研究,包括一个由领域专家组成的小组进行的预测试,以及在我们机构的所有合格医师中进行的现场测试。
该调查工具包含 28 个问卷项目,评估六个理论维度:绩效预期、努力预期、社会影响、便利条件、感知疲劳和感知使用行为。现场验证结果令人满意;然而,也发现了一些潜在的问题。我们相应地分析了这些问题,结果得出了最终的调查工具以及使用建议。
计算机药物安全警报的高忽略率是一个普遍存在的问题。它们通常是由或表现为较差的最终用户接受度问题引起的。然而,目前缺乏用于评估和理解最终用户感知的标准化研究工具,这阻碍了知识的积累,进而错失了改进的机会。本文提出的调查工具可能有助于填补这一方法学空白。
我们开发并实证验证了一种调查工具,该工具可能对未来关于 DDI 警报和其他类型的计算机药物安全警报的研究有用。