Stages to data processing.

Addressing issues in sport rehabilitation with technology-based applications is becoming more common due to improved technological solutions. This drives the need for evidence-based rationales and decisions; technology features should be informed by expert opinion and practice. The current lab protocol paper proposes the use of the framework analysis (FA), a qualitative data analysis method, for identifying practitioners’ perspectives on technology solutions aimed at aiding athlete rehabilitation. The FA allows data to be analysed in a structured and rigorous process, whilst also allowing for the flexibility associated with qualitative enquiry. Subsequently, this method is being increasingly used in healthcare and nursing research and could be applied in the context of using technology to enhance sport rehabilitation. In the current paper, FA is applied in the context of determining the usability of virtual reality (VR) in sport rehabilitation and obtaining perspectives on VR features necessary for integration into existing rehabilitation practice. The paper includes a worked example, taking it from raw data to a working theme. The use of the current lab protocol led to the identification of interconnected key themes regarding the following VR application features: how the VR application would be delivered, what the VR application would involve, and why, where, and when the VR application would be used. The lab protocol also allowed subthemes to be derived, indicating how these VR features would be met. The findings inform the ongoing development of a VR application designed to assess quick directional change in sports, potentially applied to the treatment of musculoskeletal injury in athletes. The use of the FA to derive this content is susceptible to limitations present in all qualitative data processing, such as reflexivity, the implications of levels of rigour, as well as being a time-consuming process.借助技术类应用解决运动康复领域的痛点正愈发普遍，这得益于技术方案的持续迭代优化。这一趋势催生了对循证依据与决策的迫切需求：技术功能的设计应当以专家意见与临床实践为指引。本实验室规程类论文提出，采用框架分析（Framework Analysis，FA）——一种质性数据分析方法——来识别从业者针对旨在助力运动员康复的技术方案的观点。 框架分析能够以结构化、严谨的流程开展数据分析，同时保留质性研究特有的灵活性。目前该方法在医疗保健与护理研究中的应用日益广泛，同样可应用于借助技术赋能运动康复的场景中。 在本研究中，框架分析被用于评估虚拟现实（Virtual Reality，VR）在运动康复中的可用性，并收集有关适配现有康复实践所需的VR功能的相关观点。本文包含一则完整的实操示例，完整展示了从原始数据到成型研究主题的分析全过程。 通过本实验室规程的应用，研究人员识别出与以下VR应用功能相关的互联关键主题：VR应用的交付方式、VR应用的核心内容，以及VR应用的使用缘由、适用场景与使用时机。此外，该规程还衍生出若干子主题，阐明了这些VR功能的落地实现路径。 本研究结果为一款旨在评估体育运动中快速变向能力的VR应用的持续开发提供了科学依据，该应用或可用于治疗运动员的肌肉骨骼损伤。采用框架分析开展此类研究也存在所有质性数据处理过程共有的局限性，例如反身性问题、严谨性层级的影响，以及该分析过程耗时较长的局限。