迈向数据驱动的远程医疗智能:2019冠状病毒病大流行期间面向智能老龄化的社区精神卫生保健范式转变

IF 4.7 3区 医学 Q1 MEDICAL INFORMATICS
Health Information Science and Systems Pub Date : 2023-03-14 eCollection Date: 2023-12-01 DOI:10.1007/s13755-022-00198-4
Lan Cheng, W K Chan, Yi Peng, Harry Qin
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引用次数: 3

摘要

目的:自新冠肺炎大流行开始以来,远程医疗在全球正经历着前所未有的繁荣。作为新冠肺炎中最脆弱的群体,医疗保健的数字化提供给老年人、护理人员、医疗服务提供者和卫生政策制定者带来了巨大挑战。为了弥合远程医疗需求方和供应方之间的服务提供差距,探索综合护理的循证方法,应对老龄化政策的挑战,并为数据驱动和基于社区的远程医疗的发展奠定基础,我们的研发团队应用转化研究来设计和开发远程医疗“SMART”,以增强新冠肺炎期间老年人的心理健康。我们的目的是调查心理健康疾病的准备机制,包括反应、干预,以及将这三个医疗保健提供渠道与健康参数和社会决定因素的收集、整合和协同作用联系起来,使用数据分析方法实现循证医学(EBM)。方法:2020年1月至2021年6月在香港进行了定量和定性相结合的研究设计,以进行科学严谨的咨询和分析。本研究采用了探索性和描述性的定性设计。数据是通过对居住在香港10个主要地区的老年人及其护理人员进行焦点小组讨论收集的。我们的研究试点测试了针对有心理健康改善需求的老年人的“SMART”。110名远程医疗产品用户的基线调查问卷包括人口统计信息、自我评定的心理健康数字采用问题。与57名用户(老年人及其护理人员)进行的后续五个焦点小组讨论进一步探讨了远程医疗转型的社会决定因素,并有助于提出综合远程医疗范式转变框架的建立、发展和增强。结果:基于基线需求评估和收集的反馈,很明显,来自四个不同流(社区、诊所、家庭、远程)的多维健康信息和定制的数字健康解决方案在满足老年人心理健康数字服务需求和弥合数字鸿沟方面发挥着关键作用。设计的远程医疗产品通过我们的三级设计将健康服务提供商(供应商方)和老年人的特定需求(需求方)结合起来,使老年人及其家人能够遵循和控制自己的健康管理,并与服务提供商、实践社区和健康政策制定者建立联系。结论:在开发和实施综合的、对年龄友好的数字干预之前和整个阶段,让老年人和老年技术利益相关者参与社区参与研究(CBPR)是有益的。老年人和护理人员反映的在应用和传播远程医疗方面的挑战可以作为进一步发展的重要投入和可持续综合老年人初级保健框架的指标。补充信息:在线版本包含补充材料,可访问10.1007/s13755-022-00198-4。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

Towards data-driven tele-medicine intelligence: community-based mental healthcare paradigm shift for smart aging amid COVID-19 pandemic.

Towards data-driven tele-medicine intelligence: community-based mental healthcare paradigm shift for smart aging amid COVID-19 pandemic.

Purpose: Telemedicine are experiencing an unprecedented boom globally since the beginning of the COVID-19 pandemic. As the most vulnerable groups amid COVID-19, the digital delivery of healthcare poses great challenges to the elderly population, caregiver, health service providers, and health policy makers. To bridge the service delivery gaps between the telemedicine demand side and supply side, explore evidence-based approach for integrated care, address challenges for aging policy, and build foundation for the development of data-driven and community-based telemedicine, our R&D team applied translational research to design and develop telemedicine "SMART" for enhancing elderly mental health wellbeing amid COVID-19. Our aim is to investigate the preparedness mechanisms of mental health disease including response, intervention, and connection these three healthcare delivery pipelines with the collection, consolidation, and synergy of heath parameters and social determinants, using data analytics approach to achieve Evidence-Based Medicine (EBM).

Methods: A mix of quantitative and qualitative research design for scientifically rigorous consultation and analysis was conducted from Jan 2020 to June 2021 in Hong Kong. An exploratory and descriptive qualitative design was used in this study. The data were collected through focus group discussions conducted from elderly and their caregivers living in 10 main districts of Hong Kong. Our research pilot tested "SMART" targeting for elderly with mental health improvement needs. Baseline questionnaire with 110 tele-medicine product users includes questions on demographic information, self-rated mental health digital adoption. The follow-up five focus group discussions with 57 users (elderly and their caregivers) further explore the social determinants of telemedicine transformation and help propose the integrated telemedicine paradigm shift framework establishment, development, and enhancement.

Results: Grounded on the baseline needs assessment and feedbacks collected, it is evident that multi-dimensional health information from the four various streams (community, clinic, home, remote) and customized digital health solutions are playing a key role in addressing elderly mental health digital service needs and bridging digital divide. The designed tele-medicine product lines up health service provider (supplier side) and elderly specific needs (demand side) with our three-level design, enables elderly and their families to follow and control their own health management and connect with the service provider, community of practice (CoP), and health policy makers.

Conclusion: It's beneficial to involve elderly and gerontechnology stakeholders as part of Community-Based Participatory Research (CBPR) before and throughout the developing and delivery phases an integrated and age-friendly digital intervention. The challenges in applying and disseminating telemedicine reflected by the elderly and caregivers can be used as important input for further development and indicators for the sustainable and integrated elderly primary care framework.

Supplementary information: The online version contains supplementary material available at 10.1007/s13755-022-00198-4.

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来源期刊
CiteScore
11.30
自引率
5.00%
发文量
30
期刊介绍: Health Information Science and Systems is a multidisciplinary journal that integrates artificial intelligence/computer science/information technology with health science and services, embracing information science research coupled with topics related to the modeling, design, development, integration and management of health information systems, smart health, artificial intelligence in medicine, and computer aided diagnosis, medical expert systems. The scope includes: i.) smart health, artificial Intelligence in medicine, computer aided diagnosis, medical image processing, medical expert systems ii.) medical big data, medical/health/biomedicine information resources such as patient medical records, devices and equipments, software and tools to capture, store, retrieve, process, analyze, optimize the use of information in the health domain, iii.) data management, data mining, and knowledge discovery, all of which play a key role in decision making, management of public health, examination of standards, privacy and security issues, iv.) development of new architectures and applications for health information systems.
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