Wojcik Gosha, Ring Nicola, Smith Jamie, Willis Diane, Williams Brian, Kydonaki Kalliopi
School of Health and Social Care, Edinburgh Napier University, 9 Sighthill Court, Edinburgh EH11 4BN, UK.
Institute of Health Research and Innovation, University of the Highlands and Islands, Old Perth Road, Inverness IV2 3JH, UK.
Antibiotics (Basel). 2025 Jun 30;14(7):660. doi: 10.3390/antibiotics14070660.
Internationally, digital health interventions have increasingly been adopted within hospital settings. Optimising their clinical implementation requires user involvement, but there is a lack of evidence regarding how this should be done. This study was carried out to understand the acceptability and usability of a prototype Digital Antibiotic Review Tracking Toolkit and identify modifications required to optimise it ahead of a trial. : The optimisation process involved online semi-structured interviews with a purposive sample of fifteen healthcare professionals recruited from Scotland and England, along with three service users, to gather feedback on the prototype's design, content and delivery. Participants' negative views were specifically sought to identify adaptations needed to ensure that the intervention's components aligned optimally with end-user needs. Data were analysed using Framework Analysis guided by the RE-AIM implementation science framework (Reach, Effectiveness, Adoption, Implementation, and Maintenance) to identify key themes. : Participants mostly voiced positive views regarding the prototype, finding it acceptable, feasible and engaging. They also identified concerns relating to its adoption, system functionality, accessibility and maintenance that needed to be addressed. Anticipated low adoption rates were linked to issues surrounding computer literacy. This detailed user feedback informed rapid adjustments to the intervention to enhance its acceptability, perceived future credibility and usability in hospitals. : This novel study illustrates how to identify, modify and adapt a digital intervention quickly and efficiently using qualitative iterative methods. Findings highlight the critical importance of contextualising end-user experience with health interventions to facilitate future engagement, uptake, and long-term use. This study also demonstrates how core elements of the MRC framework can be operationalised to help refine prototype digital interventions pre-trial.
在国际上,数字健康干预措施在医院环境中越来越多地被采用。优化其临床应用需要用户的参与,但缺乏关于如何做到这一点的证据。本研究旨在了解数字抗生素审查跟踪工具包原型的可接受性和可用性,并在试验前确定优化所需的修改。优化过程包括对从苏格兰和英格兰招募的15名医疗专业人员以及三名服务用户进行在线半结构化访谈,以收集对原型设计、内容和交付的反馈。特别征求了参与者的负面意见,以确定所需的调整,以确保干预措施的各个组成部分与最终用户需求最佳匹配。使用由RE-AIM实施科学框架(覆盖范围、有效性、采用、实施和维持)指导的框架分析对数据进行分析,以确定关键主题。参与者大多对原型表示积极看法,认为它可以接受、可行且引人入胜。他们还指出了与采用、系统功能、可及性和维护相关的需要解决的问题。预计采用率低与计算机素养方面的问题有关。这些详细的用户反馈为快速调整干预措施提供了依据,以提高其在医院中的可接受性、未来的可信度和可用性。这项新颖的研究说明了如何使用定性迭代方法快速有效地识别、修改和调整数字干预措施。研究结果强调了将最终用户体验与健康干预措施相结合对于促进未来参与、采用和长期使用的至关重要性。本研究还展示了如何将医学研究委员会框架的核心要素付诸实践,以帮助在试验前完善数字干预措施原型。