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影响临床医生采用智能家居技术进行远程健康监测意愿的因素:系统评价

Factors Affecting Clinician Readiness to Adopt Smart Home Technology for Remote Health Monitoring: Systematic Review.

作者信息

Dermody Gordana, Wadsworth Daniel, Dunham Melissa, Glass Courtney, Fritz Roschelle

机构信息

School of Health, Nursing, University of the Sunshine Coast, Sippy Downs, Australia.

Manna Institute, University of New England, Armidale, Australia.

出版信息

JMIR Aging. 2024 Dec 5;7:e64367. doi: 10.2196/64367.

DOI:10.2196/64367
PMID:39012852
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC11659702/
Abstract

BACKGROUND

The population of older adults worldwide continues to increase, placing higher demands on primary health care and long-term care. The costs of housing older people in care facilities have economic and societal impacts that are unsustainable without innovative solutions. Many older people wish to remain independent in their homes and age in place. Assistive technology such as health-assistive smart homes with clinician monitoring could be a widely adopted alternative to aged-care facilities in the future. While studies have found that older persons have demonstrated a readiness to adopt health-assistive smart homes, little is known about clinician readiness to adopt this technology to support older adults to age as independently as possible.

OBJECTIVE

The purpose of this systematic review was to identify the factors that affect clinician readiness to adopt smart home technology for remote health monitoring.

METHODS

This review was conducted in accordance with the Joanna Briggs Institute methodology for systematic Reviews and followed the PRISMA (Preferred Reporting Items for Systematic Reviews and Meta-Analyses) guidelines for reporting.

RESULTS

Several factors affected clinicians' perspectives on their readiness to adopt smart home technology for remote health monitoring, including challenges such as patient privacy and dignity, data security, and ethical use of "invasive" technologies. Perceived benefits included enhancing the quality of care and outcomes.

CONCLUSIONS

Clinicians, including nurses, reported both challenges and benefits of adopting smart home technology for remote health monitoring. Clear strategies and frameworks to allay fears and overcome professional concerns and misconceptions form key parts of the Readiness for Adoption Pathway proposed. The use of more rigorous scientific methods and reporting is needed to advance the state of the science.

TRIAL REGISTRATION

PROSPERO International Prospective Register of Systematic Reviews CRD42020195989; https://www.crd.york.ac.uk/prospero/display_record.php?RecordID=195989.

摘要

背景

全球老年人口持续增长,对初级卫生保健和长期护理提出了更高要求。在护理机构安置老年人的成本对经济和社会产生了影响,若无创新解决方案,这种影响将难以为继。许多老年人希望在家中保持独立并就地养老。诸如配备临床医生监测功能的健康辅助智能家居等辅助技术,未来可能会成为养老机构被广泛采用的替代方案。虽然研究发现老年人已表现出愿意采用健康辅助智能家居,但对于临床医生采用该技术以支持老年人尽可能独立地养老的意愿却知之甚少。

目的

本系统评价的目的是确定影响临床医生采用智能家居技术进行远程健康监测意愿的因素。

方法

本评价按照乔安娜·布里格斯循证卫生保健中心系统评价方法进行,并遵循系统评价和荟萃分析的首选报告项目(PRISMA)指南进行报告。

结果

有几个因素影响临床医生对采用智能家居技术进行远程健康监测意愿的看法,包括患者隐私和尊严、数据安全以及“侵入性”技术的伦理使用等挑战。感知到的益处包括提高护理质量和改善护理结果。

结论

包括护士在内的临床医生报告了采用智能家居技术进行远程健康监测的挑战和益处。消除恐惧、克服专业顾虑和误解的明确策略和框架是所提出的采用意愿途径的关键部分。需要使用更严格的科学方法和报告来推动科学发展。

试验注册

国际前瞻性系统评价注册库PROSPERO CRD42020195989;https://www.crd.york.ac.uk/prospero/display_record.php?RecordID=195989 。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c0e1/11659702/95c239a92aef/aging_v7i1e64367_fig2.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c0e1/11659702/5c869e20cfde/aging_v7i1e64367_fig1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c0e1/11659702/95c239a92aef/aging_v7i1e64367_fig2.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c0e1/11659702/5c869e20cfde/aging_v7i1e64367_fig1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c0e1/11659702/95c239a92aef/aging_v7i1e64367_fig2.jpg

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Family caregiver readiness to adopt smart home technology to monitor care-Dependent older adults: A qualitative exploratory study.家庭护理人员准备采用智能家居技术来监测依赖护理的老年人:一项定性探索性研究。
J Adv Nurs. 2024 Feb;80(2):628-643. doi: 10.1111/jan.15826. Epub 2023 Aug 23.
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New and emerging technology for adult social care - the example of home sensors with artificial intelligence (AI) technology.
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Health Soc Care Deliv Res. 2023 Jun;11(9):1-64. doi: 10.3310/HRYW4281.
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Healthcare providers' perspectives on using smart home systems to improve self-management and care in people with heart failure: A qualitative study.医疗保健提供者对使用智能家居系统改善心力衰竭患者自我管理和护理的看法:一项定性研究。
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