Division of Surgery, Imperial College London, London, United Kingdom.
West Middlesex University Hospital, London, United Kingdom.
JMIR Hum Factors. 2024 May 6;11:e49769. doi: 10.2196/49769.
Implementation of remote monitoring solutions and digital alerting tools in health care has historically been challenging, despite the impetus provided by the COVID-19 pandemic. To date, a health systems-based approach to systematically describe barriers and facilitators across multiple domains has not been undertaken.
We aimed to undertake a comprehensive mixed methods analysis of barriers and facilitators for successful implementation of remote monitoring and digital alerting tools in complex health organizations.
A mixed methods approach using a modified Technology Acceptance Model questionnaire and semistructured interviews mapped to the validated fit among humans, organizations, and technology (HOT-fit) framework was undertaken. Likert frequency responses and deductive thematic analyses were performed.
A total of 11 participants responded to the questionnaire and 18 participants to the interviews. Key barriers and facilitators could be mapped onto 6 dimensions, which incorporated aspects of digitization: system use (human), user satisfaction (human), environment (organization), structure (organization), information and service quality (technology), and system quality (technology).
The recommendations proposed can enhance the potential for future remote sensing solutions to be more successfully integrated in health care practice, resulting in more successful use of "virtual wards."
ClinicalTrials.gov NCT05321004; https://www.clinicaltrials.gov/study/NCT05321004.
尽管 COVID-19 大流行提供了动力,但远程监测解决方案和数字警报工具在医疗保健中的实施在历史上一直具有挑战性。迄今为止,尚未基于卫生系统的方法系统地描述多个领域的障碍和促进因素。
我们旨在对复杂卫生组织中成功实施远程监测和数字警报工具的障碍和促进因素进行全面的混合方法分析。
采用改良的技术接受模型问卷和半结构化访谈的混合方法,根据经过验证的人机技术适配性(HOT-fit)框架进行匹配。进行了李克特频率响应和演绎主题分析。
共有 11 名参与者回答了问卷,18 名参与者接受了访谈。关键障碍和促进因素可以映射到 6 个维度,其中包括数字化方面:系统使用(人)、用户满意度(人)、环境(组织)、结构(组织)、信息和服务质量(技术)和系统质量(技术)。
提出的建议可以提高未来远程感应解决方案在医疗保健实践中更成功整合的潜力,从而更成功地使用“虚拟病房”。
ClinicalTrials.gov NCT05321004;https://www.clinicaltrials.gov/study/NCT05321004。