Iqbal Fahad Mujtaba, Joshi Meera, Khan Sadia, Wright Mike, Ashrafian Hutan, Darzi Ara
Division of Surgery, Imperial College London, London, United Kingdom.
West Middlesex University Hospital, London, United Kingdom.
JMIR Res Protoc. 2022 Jul 21;11(7):e38437. doi: 10.2196/38437.
The implementation of novel digital solutions within the National Health Service has historically been challenging. Since the start of the COVID-19 pandemic, there has been a greater push for digitization and for operating remote monitoring solutions. However, the implementation and widespread adoption of this type of innovation have been poorly studied.
We aim to investigate key stakeholder barriers and facilitators to implementing remote monitoring solutions to identify factors that could affect successful adoption.
A mixed methods approach will be implemented. Semistructured interviews will be conducted with high-level stakeholders from industry and academia and health care providers who have played an instrumental role in, and have prior experience with, implementing digital solutions, alongside the use of an adapted version of the Technology Acceptance Model questionnaire.
Enrollment is currently underway, having started in February 2022. It is anticipated to end in July 2022, with data analysis scheduled to commence in August 2022.
The results of our study may highlight key barriers and facilitators to implementing digital remote monitoring solutions, thereby allowing for improved widespread adoption within the National Health Service in the future.
ClinicalTrials.gov NCT05321004; https://clinicaltrials.gov/ct2/show/NCT05321004.
历史上，在国民医疗服务体系内实施新型数字解决方案一直具有挑战性。自新冠疫情爆发以来，对数字化以及运行远程监测解决方案的推动力度加大。然而，这类创新的实施和广泛采用情况鲜有研究。
我们旨在调查实施远程监测解决方案的关键利益相关者障碍和促进因素，以确定可能影响成功采用的因素。
将采用混合方法。将对来自行业、学术界和医疗保健机构的高层利益相关者进行半结构化访谈，这些人在实施数字解决方案方面发挥了重要作用且有相关经验，同时还将使用技术接受模型问卷的改编版。
招募工作于2022年2月开始，目前正在进行。预计于2022年7月结束，数据分析定于2022年8月开始。
我们的研究结果可能会突出实施数字远程监测解决方案的关键障碍和促进因素，从而在未来推动其在国民医疗服务体系内更广泛地采用。
ClinicalTrials.gov NCT05321004；https://clinicaltrials.gov/ct2/show/NCT05321004 。
