探讨社会网络类型及其对痴呆症患者家庭照顾者照顾经验的影响:混合方法研究

IF 4.9 3区 医学 Q1 GERIATRICS & GERONTOLOGY
Innovation in Aging Pub Date : 2024-04-26 eCollection Date: 2024-01-01 DOI:10.1093/geroni/igae040
Jun Wang, Weichu Liu, Xuelian Li, Yingzhuo Ma, Qinghua Zhao, Yang Lü, Mingzhao Xiao
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引用次数: 0

摘要

背景和目的:社会网络对个人健康至关重要,尤其是对痴呆症患者的照顾者而言;然而,痴呆症患者照顾者的不同社会网络类型以及这些差异如何与照顾者的负担和积极评价相关,这些问题仍未得到充分研究。本研究旨在描述痴呆症照护者的社交网络类型、相关因素以及对照护经验的影响:研究设计:在中国重庆对 237 名痴呆症患者的家庭照护者进行了问卷调查,并对 14 名照护者进行了半结构式访谈。定量研究旨在收集有关个人和情景信息、社会网络、照护者负担以及照护的积极方面的数据。定性数据通过半结构式访谈收集。对定量数据进行了潜类分析和多元回归分析,对定性数据进行了归纳内容分析:三种社会网络类型--家庭有限型(39 人,占 16.46%)、家庭主导型(99 人,占 41.77%)和多样化网络(99 人,占 41.77%)--在照护者和痴呆症患者的年龄和性别、痴呆症阶段和照护强度方面存在差异。家庭主导型网络中的照护者与家庭限制型网络中的照护者相比,照护者负担较轻(β= -0.299,p = .003),照护的积极方面较多(β= 0.228,p = .021)。在寻求支持时,有三个主题--可及性、互惠性和依赖性--成为促进因素和障碍。照护者经常提到经济、实际和情感支持的感知,但却表示缺乏来自医疗服务提供者的足够的正式支持:痴呆症患者的家庭照顾者拥有不同的社会网络类型,这些类型在不同的社会文化背景下有很大差异,他们从社会网络中感知到的支持类型也各不相同。稳固的家庭网络和多样化的社会网络有助于痴呆症患者的长期护理。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Examining the Social Networks Types and Their Effects on Caregiving Experience of Family Caregivers for Individuals With Dementia: A Mixed-Methods Study.

Background and objectives: Social networks are crucial to personal health, particularly among caregivers of individuals with dementia; however, different types of social networks among caregivers of those with dementia and how these differences are associated with caregiver burden and positive appraisal, remain underexamined. This study aims to depict dementia caregivers' social network types, related factors, and impact on caregiving experiences.

Research design and methods: A questionnaire-based survey was conducted with a total of 237 family caregivers of individuals with dementia nested additional semistructured interviews conducted with 14 caregivers in Chongqing, China. A quantitative study was designed to collect data on personal and situational information, social networks, caregiver burden, and positive aspects of caregiving. Qualitative data were collected via semistructured interviews. Latent class analysis and multivariate regression analyses were applied to quantitative data, and inductive content analysis to qualitative data.

Results: The 3 social network types-family-limited (n = 39, 16.46%), family-dominant (n = 99, 41.77%), and diverse network (n = 99, 41.77%)-differed in age and sex of caregivers and individuals with dementia, stage of dementia, and caregiving intensity. Caregivers in family-dominant networks had a lower caregiver burden (β= -0.299, p = .003) and greater positive aspects of caregiving (β= 0.228, p = .021) than those in family-limited networks. Three themes-accessibility, reciprocity, and reliance-emerged as facilitators and barriers when asking for support. Caregivers frequently cited the perception of economic, practical, and emotional support, yet reported a lack of adequate formal support from healthcare providers.

Discussion and implication: Family caregivers of individuals with dementia have different social network types that vary considerably among sociocultural contexts and perceive various types of support from social networks. Solid family networks and diverse social networks are contributors to long-term dementia care.

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来源期刊
Innovation in Aging
Innovation in Aging GERIATRICS & GERONTOLOGY-
CiteScore
4.10
自引率
0.00%
发文量
72
审稿时长
15 weeks
期刊介绍: Innovation in Aging, an interdisciplinary Open Access journal of the Gerontological Society of America (GSA), is dedicated to publishing innovative, conceptually robust, and methodologically rigorous research focused on aging and the life course. The journal aims to present studies with the potential to significantly enhance the health, functionality, and overall well-being of older adults by translating scientific insights into practical applications. Research published in the journal spans a variety of settings, including community, clinical, and laboratory contexts, with a clear emphasis on issues that are directly pertinent to aging and the dynamics of life over time. The content of the journal mirrors the diverse research interests of GSA members and encompasses a range of study types. These include the validation of new conceptual or theoretical models, assessments of factors impacting the health and well-being of older adults, evaluations of interventions and policies, the implementation of groundbreaking research methodologies, interdisciplinary research that adapts concepts and methods from other fields to aging studies, and the use of modeling and simulations to understand factors and processes influencing aging outcomes. The journal welcomes contributions from scholars across various disciplines, such as technology, engineering, architecture, economics, business, law, political science, public policy, education, public health, social and psychological sciences, biomedical and health sciences, and the humanities and arts, reflecting a holistic approach to advancing knowledge in gerontology.
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