Zhou Chunyi, Ai Yating, Wang Sixue, Yuan Yue, Zhang Ailin, Hu Hui, Wang Yuncui
School of Nursing, Hubei University of Chinese Medicine, No. 16, West Huangjiahu Road, Hongshan District, Wuhan City, Hubei Province, China.
Engineering Research Center of TCM Protection Technology and New Product Development for the Elderly Brain Health, Ministry of Education, Wuhan, Hubei Province, China.
BMC Geriatr. 2024 Dec 26;24(1):1037. doi: 10.1186/s12877-024-05645-3.
Research increasingly supports the role of electronic health technology in improving cognitive function. However, individuals with mild cognitive impairment or dementia often show low compliance with electronic health technology. To understand the barriers and facilitators for this group, this study was conducted.
This study used the Joanna Briggs Institute (JBI) umbrella review method, searching relevant English articles in PubMed, Embase, Cochrane, Scopus, MEDLINE, Web of Science, and CINAHL from inception to May 2023. Two researchers independently selected articles based on predefined criteria, assessed study quality using Meta-QAT and A Measurement Tool to Assess Systematic Reviews (AMSTAR), and determined confidence in the evidence using GRADE-CERQual. The Unified Theory of Acceptance and Use of Technology (UTAUT) model was employed to analyze factors related to electronic health technology, and Behavior Change Techniques (BCTs) were used to develop implementation strategies.
This study included 21 reviews, covering 535 primary studies, identifying 13 factors. The three most impactful factors on engagement were Perceived Behavioral Control, Relative Advantage, and Social Factors. Six implementation strategies were formulated based on BCT: enhancing targeted approaches, adapting to existing contexts, involving care organizations, accommodating family involvement, accessing virtual community resources, and recognizing patient variability.
This umbrella review underscores the need for a multi-level stakeholder approach and a holistic perspective in developing targeted implementation strategies. Using the UTAUT framework, key influential factors have been identified, offering valuable insights for future interventions and enhancing participation in electronic health interventions.
This study was registered with the PROSPERO (CRD42023429410).
越来越多的研究支持电子健康技术在改善认知功能方面的作用。然而,轻度认知障碍或痴呆症患者对电子健康技术的依从性往往较低。为了解该群体面临的障碍和促进因素,开展了本研究。
本研究采用乔安娜·布里格斯研究所(JBI)的伞状综述方法,在PubMed、Embase、Cochrane、Scopus、MEDLINE、Web of Science和CINAHL中检索从创刊至2023年5月的相关英文文章。两名研究人员根据预定义标准独立选择文章,使用Meta-QAT和系统评价评估工具(AMSTAR)评估研究质量,并使用GRADE-CERQual确定证据的可信度。采用技术接受与使用统一理论(UTAUT)模型分析与电子健康技术相关的因素,并使用行为改变技术(BCT)制定实施策略。
本研究纳入21篇综述,涵盖535项原始研究,确定了13个因素。对参与度影响最大的三个因素是感知行为控制、相对优势和社会因素。基于BCT制定了六项实施策略:加强针对性方法、适应现有环境、让护理组织参与、接纳家庭参与、获取虚拟社区资源以及认识患者差异。
本伞状综述强调在制定有针对性的实施策略时需要采取多层次利益相关者方法和整体视角。利用UTAUT框架,已确定关键影响因素,为未来干预措施提供了有价值的见解,并提高了对电子健康干预措施的参与度。
本研究已在国际系统评价注册平台(PROSPERO,注册号:CRD42023429410)注册。