NIHR MindTech MedTech Co-operative, Institute of Mental Health, University of Nottingham, Nottingham, UK.
Mental Health and Clinical Neurosciences, School of Medicine, University of Nottingham, Nottingham, UK.
BMC Med Inform Decis Mak. 2022 May 7;22(1):125. doi: 10.1186/s12911-022-01856-z.
Epilepsy, multiple sclerosis (MS) and depression are long term, central nervous system disorders which have a significant impact on everyday life. Evaluating symptoms of these conditions is problematic and typically involves repeated visits to a clinic. Remote measurement technology (RMT), consisting of smartphone apps and wearables, may offer a way to improve upon existing methods of managing these conditions. The present study aimed to establish the practical requirements that would enable clinical integration of data from patients' RMT, according to healthcare professionals.
This paper reports findings from an online survey of 1006 healthcare professionals currently working in the care of people with epilepsy, MS or depression. The survey included questions on types of data considered useful, how often data should be collected, the value of RMT data, preferred methods of accessing the data, benefits and challenges to RMT implementation, impact of RMT data on clinical practice, and requirement for technical support. The survey was presented on the JISC online surveys platform.
Among this sample of 1006 healthcare professionals, respondents were positive about the benefits of RMT, with 73.2% indicating their service would be likely or highly likely to benefit from the implementation of RMT in patient care plans. The data from patients' RMT devices should be made available to all nursing and medical team members and could be reviewed between consultations where flagged by the system. However, results suggest it is also likely that RMT data would be reviewed in preparation for and during a consultation with a patient. Time to review information is likely to be one of the greatest barriers to successful implementation of RMT in clinical practice.
While further work would be required to quantify the benefits of RMT in clinical practice, the findings from this survey suggest that a wide array of clinical team members treating epilepsy, MS and depression would find benefit from RMT data in the care of their patients. Findings presented could inform the implementation of RMT and other digital interventions in the clinical management of a range of neurological and mental health conditions.
癫痫、多发性硬化症（MS）和抑郁症是长期的中枢神经系统疾病，对日常生活有重大影响。评估这些疾病的症状存在问题，通常需要多次去诊所就诊。远程测量技术（RMT），由智能手机应用程序和可穿戴设备组成，可能提供一种改善这些疾病管理现有方法的方法。本研究旨在根据医疗保健专业人员的要求，确定将患者 RMT 数据纳入临床的实际要求。
本文报告了对目前从事癫痫、多发性硬化症或抑郁症患者护理工作的 1006 名医疗保健专业人员进行的在线调查的结果。该调查包括有关有用数据类型、数据应收集的频率、RMT 数据的价值、首选访问数据的方法、RMT 实施的好处和挑战、RMT 数据对临床实践的影响以及对技术支持的要求等问题。该调查是在 JISC 在线调查平台上进行的。
在这 1006 名医疗保健专业人员的样本中，受访者对 RMT 的好处持积极态度，73.2%的受访者表示他们的服务很可能或极有可能受益于将 RMT 纳入患者护理计划。患者 RMT 设备的数据应提供给所有护理和医疗团队成员，并可在系统标记的情况下在咨询之间进行审查。然而，结果表明，RMT 数据也可能在与患者咨询前和咨询期间进行审查。审查信息的时间可能是成功将 RMT 纳入临床实践的最大障碍之一。
虽然还需要进一步的工作来量化 RMT 在临床实践中的好处，但这项调查的结果表明，治疗癫痫、多发性硬化症和抑郁症的广泛临床团队成员将从患者护理中的 RMT 数据中受益。提出的研究结果可以为 RMT 和其他数字干预措施在一系列神经和心理健康状况的临床管理中的实施提供信息。
