Poncette Akira-Sebastian, Mosch Lina Katharina, Stablo Lars, Spies Claudia, Schieler Monique, Weber-Carstens Steffen, Feufel Markus A, Balzer Felix
Institute of Medical Informatics, Charité - Universitätsmedizin Berlin, Corporate Member of Freie Universität Berlin and Humboldt-Universität zu Berlin, Berlin, Germany.
Department of Anesthesiology and Intensive Care Medicine, Charité - Universitätsmedizin Berlin, Corporate Member of Freie Universität Berlin and Humboldt-Universität zu Berlin, Berlin, Germany.
JMIR Hum Factors. 2022 Mar 11;9(1):e30655. doi: 10.2196/30655.
Continuous monitoring of vital signs is critical for ensuring patient safety in intensive care units (ICUs) and is becoming increasingly relevant in general wards. The effectiveness of health information technologies such as patient-monitoring systems is highly determined by usability, the lack of which can ultimately compromise patient safety. Usability problems can be identified and prevented by involving users (ie, clinicians).
In this study, we aim to apply a human-centered design approach to evaluate the usability of a remote patient-monitoring system user interface (UI) in the ICU context and conceptualize and evaluate design changes.
Following institutional review board approval (EA1/031/18), a formative evaluation of the monitoring UI was performed. Simulated use tests with think-aloud protocols were conducted with ICU staff (n=5), and the resulting qualitative data were analyzed using a deductive analytic approach. On the basis of the identified usability problems, we conceptualized informed design changes and applied them to develop an improved prototype of the monitoring UI. Comparing the UIs, we evaluated perceived usability using the System Usability Scale, performance efficiency with the normative path deviation, and effectiveness by measuring the task completion rate (n=5). Measures were tested for statistical significance using a 2-sample t test, Poisson regression with a generalized linear mixed-effects model, and the N-1 chi-square test. P<.05 were considered significant.
We found 37 individual usability problems specific to monitoring UI, which could be assigned to six subcodes: usefulness of the system, response time, responsiveness, meaning of labels, function of UI elements, and navigation. Among user ideas and requirements for the UI were high usability, customizability, and the provision of audible alarm notifications. Changes in graphics and design were proposed to allow for better navigation, information retrieval, and spatial orientation. The UI was revised by creating a prototype with a more responsive design and changes regarding labeling and UI elements. Statistical analysis showed that perceived usability improved significantly (System Usability Scale design A: mean 68.5, SD 11.26, n=5; design B: mean 89, SD 4.87, n=5; P=.003), as did performance efficiency (normative path deviation design A: mean 8.8, SD 5.26, n=5; design B: mean 3.2, SD 3.03, n=5; P=.001), and effectiveness (design A: 18 trials, failed 7, 39% times, passed 11, 61% times; design B: 20 trials, failed 0 times, passed 20 times; P=.002).
Usability testing with think-aloud protocols led to a patient-monitoring UI with significantly improved usability, performance, and effectiveness. In the ICU work environment, difficult-to-use technology may result in detrimental outcomes for staff and patients. Technical devices should be designed to support efficient and effective work processes. Our results suggest that this can be achieved by applying basic human-centered design methods and principles.
ClinicalTrials.gov NCT03514173; https://clinicaltrials.gov/ct2/show/NCT03514173.
持续监测生命体征对于确保重症监护病房(ICU)患者安全至关重要,并且在普通病房中也变得越来越重要。诸如患者监测系统等健康信息技术的有效性在很大程度上取决于可用性,缺乏可用性最终可能会危及患者安全。通过让用户(即临床医生)参与,可以识别并预防可用性问题。
在本研究中,我们旨在应用以人为本的设计方法来评估远程患者监测系统用户界面(UI)在ICU环境中的可用性,并对设计变更进行概念化和评估。
在获得机构审查委员会批准(EA1/031/18)后,对监测UI进行了形成性评估。对ICU工作人员(n = 5)进行了有声思维协议的模拟使用测试,并使用演绎分析方法对所得的定性数据进行了分析。基于识别出的可用性问题,我们对明智的设计变更进行了概念化,并将其应用于开发监测UI的改进原型。通过比较两个UI,我们使用系统可用性量表评估了感知可用性,使用规范路径偏差评估了性能效率,并通过测量任务完成率(n = 5)评估了有效性。使用双样本t检验、带有广义线性混合效应模型的泊松回归以及N - 1卡方检验对测量结果进行统计显著性检验。P <.05被认为具有显著性。
我们发现了37个特定于监测UI的个体可用性问题,这些问题可分为六个子代码:系统的有用性、响应时间、响应性、标签含义、UI元素功能和导航。用户对UI的想法和要求包括高可用性、可定制性以及提供听觉警报通知。有人提议对图形和设计进行更改,以实现更好的导航、信息检索和空间定向。通过创建一个具有更灵敏设计以及标签和UI元素更改的原型对UI进行了修订。统计分析表明,感知可用性显著提高(系统可用性量表设计A:均值68.5,标准差11.26,n = 5;设计B:均值89,标准差4.87,n = 5;P =.003),性能效率也显著提高(规范路径偏差设计A:均值8.8,标准差5.26,n = 5;设计B:均值3.2,标准差3.03,n = 5;P =.001),有效性也显著提高(设计A:18次试验,失败7次,失败率39%,成功11次,成功率61%;设计B:20次试验,失败0次,成功20次;P =.002)。
采用有声思维协议进行的可用性测试产生了一个患者监测UI,其可用性、性能和有效性都有显著提高。在ICU工作环境中,难以使用的技术可能会给工作人员和患者带来有害后果。技术设备的设计应支持高效有效的工作流程。我们的结果表明,通过应用基本的以人为本的设计方法和原则可以实现这一点。
ClinicalTrials.gov NCT03514173;https://clinicaltrials.gov/ct2/show/NCT03514173