Zhai Shumenghui, Chu Frances, Tan Minghui, Chi Nai-Ching, Ward Teresa, Yuwen Weichao
School of Nursing, University of Washington, Seattle, WA, USA.
Providence Health System, Swedish First Hill, Seattle, WA, USA.
Digit Health. 2023 May 19;9:20552076231171967. doi: 10.1177/20552076231171967. eCollection 2023 Jan-Dec.
Chronic diseases are the leading causes of death and disability in the U.S., and disease management largely falls onto patients' family caregivers. The long-term burden and stress of caregiving negatively impact caregivers' well-being and ability to provide care. Digital health interventions have the potential to support caregivers. This article aims to provide an updated review of interventions using digital health tools to support family caregivers and the scope of the Human-Centered Design (HCD) approaches.
We conducted a systematic search on July 2019 and January 2021 in PubMed, CINAHL, Embase, Cochrane Library, PsycINFO, ERIC, and ACM Digital Library, limiting to 2014-2021 to identify family caregiver interventions assisted by modern technologies. The Mixed Methods Appraisal Tool and the Grading of Recommendations Assessment, Development and Evaluation were used to evaluate the articles. Data were abstracted and evaluated using Rayyan and Research Electronic Data Capture.
We identified and reviewed 40 studies from 34 journals, 10 fields, and 19 countries. Findings included patients' conditions and relationships with family caregivers, how the technology is used to deliver the intervention, HCD methods, theoretical frameworks, components of the interventions, and family caregiver health outcomes.
This updated and expanded review revealed that digitally enhanced health interventions were robust at providing high-quality assistance and support to caregivers by improving caregiver psychological health, self-efficacy, caregiving skills, quality of life, social support, and problem-coping abilities. Health professionals need to include informal caregivers as an essential component when providing care to patients. Future research should include more marginalized caregivers from diverse backgrounds, improve the accessibility and usability of the technology tools, and tailor the intervention to be more culturally and linguistically sensitive.
慢性病是美国死亡和残疾的主要原因,疾病管理很大程度上落在患者的家庭护理人员身上。长期的护理负担和压力对护理人员的幸福感和提供护理的能力产生负面影响。数字健康干预措施有潜力支持护理人员。本文旨在对使用数字健康工具支持家庭护理人员的干预措施以及以人为本的设计(HCD)方法的范围进行更新综述。
我们于2019年7月和2021年1月在PubMed、CINAHL、Embase、Cochrane图书馆、PsycINFO、ERIC和ACM数字图书馆进行了系统检索,限于2014 - 2021年,以识别由现代技术辅助的家庭护理人员干预措施。使用混合方法评估工具以及推荐分级评估、制定和评价方法来评估文章。数据使用Rayyan和研究电子数据采集进行提取和评估。
我们从34种期刊、10个领域和19个国家识别并综述了40项研究。研究结果包括患者的状况以及与家庭护理人员的关系、技术如何用于实施干预、以人为本的设计方法、理论框架、干预措施的组成部分以及家庭护理人员的健康结果。
这一更新和扩展的综述表明,数字增强的健康干预措施在通过改善护理人员的心理健康、自我效能感、护理技能、生活质量、社会支持和问题应对能力为护理人员提供高质量的帮助和支持方面表现强劲。卫生专业人员在为患者提供护理时需要将非正式护理人员作为重要组成部分纳入。未来的研究应纳入更多来自不同背景的边缘化护理人员,提高技术工具的可及性和可用性,并使干预措施在文化和语言上更具敏感性。