Alzghaibi Haitham
Department of Health Informatics, College of Applied Medical Sciences, Qassim University, Buraydah, Saudi Arabia.
Front Med (Lausanne). 2025 Apr 23;12:1563003. doi: 10.3389/fmed.2025.1563003. eCollection 2025.
Wearable devices that incorporate artificial intelligence (AI) have become effective instruments for managing diabetes through real-time monitoring, improved adherence, and increased person with diabetes engagement. Person with diabetes perceptions, adoption barriers, and preferences critically impact the effectiveness and widespread utilisation of these technologies.
The aim of study was to investigate the perceptions of people with diabetes regarding wearable devices, emphasising their perceived advantages, challenges, and potential role in facilitating diabetes self-management.
A cross-sectional study involving 418 people with diabetes was conducted, with participants recruited via online platforms and people with diabetes groups. Data were gathered through a structured questionnaire that included Likert-scale items, multiple-choice questions, and open-ended responses. Descriptive statistics were employed to analyse quantitative data, whereas qualitative responses underwent thematic analysis to discern key trends.
Participants demonstrated significant awareness of the primary functions of wearable devices, with 83.9% acknowledging their utility in monitoring glucose levels and physical activity. The primary advantages comprised increased adherence to medication regimens (81.9%) and heightened confidence in diabetes management (82.1%). Significant barriers were identified, including data privacy concerns (79.7%), cost issues (77.0%), and usability challenges (75.1%). Thematic analysis of open-ended responses indicated a demand for features including actionable feedback, integration with healthcare providers, and enhanced usability. Despite these challenges, 81.9% of participants indicated a willingness to adopt AI-integrated wearable devices if recommended by healthcare providers.
The findings indicate that people with diabetes regard wearable devices as effective instruments for managing their condition, especially in terms of real-time monitoring and adherence support. Concerns regarding privacy, cost, and device usability must be addressed to enhance adoption rates. These insights can inform the development of patient-centered wearable devices and guide healthcare strategies for the effective integration of these technologies into diabetes care.
结合人工智能（AI）的可穿戴设备已成为通过实时监测、提高依从性和增强糖尿病患者参与度来管理糖尿病的有效工具。糖尿病患者的认知、采用障碍和偏好对这些技术的有效性和广泛应用有着至关重要的影响。
本研究的目的是调查糖尿病患者对可穿戴设备的认知，重点关注他们所感知到的优势、挑战以及在促进糖尿病自我管理中的潜在作用。
开展了一项横断面研究，涉及418名糖尿病患者，参与者通过在线平台和糖尿病患者群体招募。通过一份结构化问卷收集数据，问卷包括李克特量表项目、多项选择题和开放式回答。采用描述性统计分析定量数据，而定性回答则进行主题分析以识别关键趋势。
参与者对可穿戴设备的主要功能有显著认知，83.9%的人认可其在监测血糖水平和身体活动方面的效用。主要优势包括提高药物治疗方案的依从性（81.9%）和增强糖尿病管理的信心（82.1%）。确定了一些重大障碍，包括数据隐私问题（79.7%）、成本问题（77.0%）和可用性挑战（75.1%）。对开放式回答的主题分析表明，对包括可操作反馈、与医疗服务提供者整合以及增强可用性等功能有需求。尽管存在这些挑战，81.9%的参与者表示如果得到医疗服务提供者的推荐，愿意采用集成人工智能的可穿戴设备。
研究结果表明，糖尿病患者将可穿戴设备视为管理其病情的有效工具，特别是在实时监测和依从性支持方面。必须解决对隐私、成本和设备可用性的担忧，以提高采用率。这些见解可为以患者为中心的可穿戴设备的开发提供参考，并指导将这些技术有效整合到糖尿病护理中的医疗策略。
