Zhao Yuanyuan, Rokhani Fakhrul Zaman, Shariff Ghazali Sazlina, Chew Boon How
Department of Family Medicine, Faculty of Medicine and Health Sciences, Universiti Putra Malaysia, Serdang, Malaysia.
Global Century Science Group, Beijing, China.
BMJ Open. 2021 Feb 18;11(2):e041452. doi: 10.1136/bmjopen-2020-041452.
Smart technologies, digital health and eHealth have been shown to enhance institutional elderly care. Because of the rapidly ageing societies, information technologies in geriatric healthcare are urgently needed. A lot of innovation in smart healthcare has occurred in the past decade, and its use in nursing care assessment, daily living activities and service management is yet to be defined. More fundamentally, the concepts, definitions and scopes of a smart nursing home are still vague. Thus, this scoping review aims to examine the extent, range (variety) and nature (characteristics) of evidence on the existing smart concepts and feasible healthcare technologies, types of medical services in nursing home settings and acceptability of a smart nursing home by the elderly people ≥60 years old, their caregivers, nursing home operators and government agencies.
This scoping review will be guided by the smart technology adoption behaviours of elder consumers theoretical model (Elderadopt) by Golant and reported according to the Preferred Reporting Items for Systematic Reviews and Meta-Analyses for Scoping Reviews. First, we will conduct an internet search for nursing homes and websites and databases related to the stakeholders to retrieve the definitions, concepts and criteria of a smart nursing home (phase 1). Second, we will conduct an additional systematic electronic database search for published articles on any measures of technological feasibility and integration of medical services in nursing home settings and their acceptability by nursing home residents and caregivers (phase 2). The electronic database search will be carried out from 1999 to 30 September 2020 and limited to works published in English and Chinese languages. For phase 2, the selection of literature is further limited to residents of nursing homes aged ≥60 years old with or without medical needs but are not terminally ill or bed-bound. Qualitative data analysis will follow the Framework Methods and thematic analysis using combined inductive and deductive approaches, conducted by at least two reviewers.
This protocol is registered on osf.io (URL: https://osf.io/qtwz2/). Ethical approval is not necessary as the scoping review is not a primary study, and the information is collected from selected articles that are publicly available sources. All findings will be disseminated at conferences and published in peer-reviewed journals.
智能技术、数字健康和电子健康已被证明可提升机构养老服务水平。鉴于社会老龄化速度加快,老年医疗保健领域对信息技术的需求迫在眉睫。过去十年,智能医疗保健领域出现了诸多创新,但其在护理评估、日常生活活动及服务管理中的应用尚待明确。更根本的是,智能养老院的概念、定义和范围仍不清晰。因此,本综述旨在探究现有智能概念和可行医疗技术的证据范围、种类及性质,养老院环境中的医疗服务类型,以及60岁及以上老年人、其照护者、养老院经营者和政府机构对智能养老院的接受程度。
本综述将以戈兰特的老年消费者智能技术采用行为理论模型(Elderadopt)为指导,并按照系统评价和Meta分析扩展综述的首选报告项目进行报告。首先,我们将在互联网上搜索与利益相关者相关的养老院、网站和数据库,以检索智能养老院的定义、概念和标准(第一阶段)。其次,我们将额外进行系统的电子数据库搜索,以查找关于养老院环境中技术可行性措施、医疗服务整合及其被养老院居民和照护者接受程度的已发表文章(第二阶段)。电子数据库搜索将从1999年至2020年9月30日进行,仅限于以英文和中文发表的作品。对于第二阶段,文献选择进一步限于年龄≥60岁、有或无医疗需求但非绝症或卧床不起的养老院居民。定性数据分析将遵循框架方法,并采用归纳和演绎相结合的主题分析方法,由至少两名评审员进行。
本方案已在osf.io上注册(网址:https://osf.io/qtwz2/)。由于本综述并非原始研究,且信息是从公开可用来源的选定文章中收集的,因此无需伦理批准。所有研究结果将在会议上公布,并发表在同行评审期刊上。