School of Population Health, RCSI University of Medicine and Health Sciences, Dublin, D02DH60, Ireland.
School of Nursing, Psychotherapy and Community Health, Dublin City University, Dublin, Ireland.
JMIR Aging. 2024 Oct 24;7:e54210. doi: 10.2196/54210.
The number of older people with unmet health care and support needs is increasing substantially due to the challenges facing health care systems worldwide. There are potentially great benefits to using the Internet of Things coupled with artificial intelligence to support independent living and the measurement of health risks, thus improving quality of life for the older adult population. Taking a co-design approach has the potential to ensure that these technological solutions are developed to address specific user needs and requirements.
The aim of this study was to investigate stakeholders' perceptions of independent living and technology solutions, identify stakeholders' suggestions on how technology could assist older adults to live independently, and explore the acceptability and usefulness of a prototype Internet of Things solution called the NEX system to support independent living for an older adult population.
The development of the NEX system was carried out in 3 key phases with a strong focus on diverse stakeholder involvement. The initial predesign exploratory phase recruited 17 stakeholders, including older adults and family caregivers, using fictitious personas and scenarios to explore initial perceptions of independent living and technology solutions. The subsequent co-design and testing phase expanded this to include a comprehensive web-based survey completed by 380 stakeholders, encompassing older adults, family caregivers, health care professionals, and home care support staff. This phase also included prototype testing at home by 7 older adults to assess technology needs, requirements, and the initial acceptability of the system. Finally, in the postdesign phase, workshops were held between academic and industry partners to analyze data collected from the earlier stages and to discuss recommendations for the future development of the system.
The predesign phase revealed 3 broad themes: loneliness and technology, aging and technology, and adopting and using technology. The co-design phase highlighted key areas where technology could assist older adults to live independently: home security, falls and loneliness, remote monitoring by family members, and communication with clients. Prototype testing revealed that the acceptability aspects of the prototype varied across technology types. Ambient sensors and voice-activated assistants were described as the most acceptable technology by participants. Last, the postdesign analysis process highlighted that ambient sensors have the potential for automatic detection of activities of daily living, resulting in key recommendations for future developments and deployments in this area.
This study demonstrates the significance of incorporating diverse stakeholder perspectives in developing solutions that support independent living. Additionally, it emphasizes the advantages of prototype testing in home environments, offering crucial insights into the real-world experiences of users interacting with technological solutions.
由于全球医疗保健系统面临的挑战,有未满足的医疗和支持需求的老年人数量正在大幅增加。通过物联网与人工智能结合来支持独立生活和健康风险的测量,从而提高老年人口的生活质量,这可能会带来巨大的好处。采用共同设计方法有可能确保开发这些技术解决方案能够满足特定用户的需求和要求。
本研究旨在调查利益相关者对独立生活和技术解决方案的看法,确定利益相关者对技术如何帮助老年人独立生活的建议,并探讨物联网解决方案 NEX 系统原型的可接受性和实用性,以支持老年人群体的独立生活。
NEX 系统的开发分 3 个关键阶段进行,重点是利益相关者的多元化参与。最初的预设计探索阶段通过使用虚构角色和场景招募了 17 名利益相关者,包括老年人和家庭护理人员,以探索对独立生活和技术解决方案的初步看法。随后的共同设计和测试阶段将这一范围扩大到包括由 380 名利益相关者(包括老年人、家庭护理人员、医疗保健专业人员和家庭护理支持人员)完成的全面的基于网络的调查。这一阶段还包括 7 名老年人在家中进行原型测试,以评估技术需求、要求和系统的初步可接受性。最后,在设计后期阶段,学术和行业合作伙伴之间举行了研讨会,以分析早期阶段收集的数据,并讨论系统未来发展的建议。
预设计阶段揭示了 3 个广泛的主题:孤独与技术、衰老与技术、以及采用和使用技术。共同设计阶段突出了技术可以帮助老年人独立生活的关键领域:家庭安全、跌倒和孤独、家庭成员的远程监控以及与客户的沟通。原型测试表明,参与者对原型的可接受性方面存在差异。环境传感器和语音激活助手被描述为参与者最可接受的技术。最后,设计后期分析过程强调了环境传感器具有自动检测日常生活活动的潜力,这为该领域的未来发展和部署提供了关键建议。
本研究表明,在开发支持独立生活的解决方案时,纳入不同利益相关者的观点具有重要意义。此外,它强调了在家中环境中进行原型测试的优势,为用户与技术解决方案交互的真实体验提供了关键见解。