O'Connor S R, Wilson V, Brown D, Cleland I, McCance T V
Institute of Nursing and Health Research, Ulster University, Belfast, UK.
South East Sydney Local Health District, Sydney, Australia.
Digit Health. 2024 Oct 29;10:20552076241271788. doi: 10.1177/20552076241271788. eCollection 2024 Jan-Dec.
To develop and optimise an app (iMPAKT) for improving implementation and measurement of person-centred practice in healthcare settings.
Two iterative rounds of testing were carried out based on cognitive task analysis and qualitative interview methods. The System Usability Scale (SUS) was also used to evaluate the app. Quantitative data on task completion and SUS scores were evaluated descriptively, with thematic analysis performed on qualitative data. The MoSCoW prioritisation system was used to identify key modifications to improve the app.
Twelve participants took part (eight health professionals and four patient and public involvement representatives). Views on design and structure of the app were positive. The majority of the 16 tasks undertaken during the cognitive task analysis were easy to complete. Mean SUS scores were 73.5/100 (SD: 7.9; range = 60-92.5), suggesting good overall usability. For one section of the app that transcribes patients speaking about their experience of care, a non-intuitive user interface and lack of transcription accuracy were identified as key issues influencing usability and acceptability.
Findings from the evaluation were used to inform iterative modifications to further develop and optimise the iMPAKT App. These included improved navigational flow, and implementation of an updated artificial intelligence (AI) based Speech-To-Text software; allowing for more accurate, real-time transcription. Use of such AI-based software represents an interesting area that requires further evaluation. This is particularly apparent in relation to potential for large-scale collection of data on person-centred measures using the iMPAKT App, and for assessing initiatives designed to improve patient experience.
开发并优化一款应用程序（iMPAKT），以改善医疗环境中以患者为中心的实践的实施与衡量。
基于认知任务分析和定性访谈方法进行了两轮迭代测试。还使用系统可用性量表（SUS）来评估该应用程序。对任务完成情况和SUS得分的定量数据进行描述性评估，对定性数据进行主题分析。使用MoSCoW优先级排序系统来确定改进该应用程序的关键修改。
12名参与者参与其中（8名卫生专业人员以及4名患者和公众参与代表）。对该应用程序的设计和结构的看法是积极的。在认知任务分析过程中进行的16项任务中的大多数都易于完成。SUS平均得分为73.5/100（标准差：7.9；范围 = 60 - 92.5），表明总体可用性良好。对于该应用程序中记录患者讲述其护理体验的一个部分，发现非直观的用户界面和转录准确性不足是影响可用性和可接受性的关键问题。
评估结果被用于为迭代修改提供信息，以进一步开发和优化iMPAKT应用程序。这些修改包括改进导航流程，以及实施基于更新的人工智能（AI）的语音转文本软件；以实现更准确的实时转录。使用此类基于AI的软件是一个需要进一步评估的有趣领域。这在使用iMPAKT应用程序大规模收集以患者为中心的措施的数据以及评估旨在改善患者体验的举措方面尤为明显。
