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了解老年哮喘和慢性阻塞性肺疾病患者疾病管理中的线上和线下社交网络:采用定量社交网络评估和定性分析的混合方法研究

Understanding Online and Offline Social Networks in Illness Management of Older Patients With Asthma and Chronic Obstructive Pulmonary Disease: Mixed Methods Study Using Quantitative Social Network Assessment and Qualitative Analysis.

作者信息

Andreou Andreas, Dhand Amar, Vassilev Ivaylo, Griffiths Chris, Panzarasa Pietro, De Simoni Anna

机构信息

Wolfson Institute of Population Health, Asthma UK Centre of Applied Research, Queen Mary University of London, London, United Kingdom.

Department of Neurology, Brigham & Women's Hospital, Harvard Medical School, Boston, MA, United States.

出版信息

JMIR Form Res. 2022 May 17;6(5):e35244. doi: 10.2196/35244.

DOI:10.2196/35244
PMID:35579933
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC9157321/
Abstract

BACKGROUND

Individuals' social networks and social support are fundamental determinants of self-management and self-efficacy. In chronic respiratory conditions, social support can be promoted and optimized to facilitate the self-management of breathlessness.

OBJECTIVE

This study aimed to identify how online and offline social networks play a role in the health management of older patients with chronic respiratory conditions, explore the role of support from online peers in patients' self-management, and understand the barriers to and potential benefits of digital social interventions.

METHODS

We recruited participants from a hospital-run singing group to a workshop in London, the United Kingdom, and adapted PERSNET, a quantitative social network assessment tool. The second workshop was replaced by telephone interviews because of the COVID-19 lockdown. The transcripts were analyzed using thematic analysis.

RESULTS

A total of 7 participants (2/7, 29%, men and 5/7, 71%, women), with an age range of 64 to 81 years, produced network maps that comprised between 5 and 10 individuals, including family members, health care professionals, colleagues, activity groups, offline and online friends, and peers. The visual maps facilitated reflections and enhanced participants' understanding of the role of offline and online social networks in the management of chronic respiratory conditions. It also highlighted the work undertaken by the networks themselves in the self-management support. Participants with small, close-knit networks received physical, health, and emotional support, whereas those with more diverse and large networks benefited from accessing alternative and complementary sources of information. Participants in the latter type of network tended to communicate more openly and comfortably about their illness, shared the impact of their illness on their day-to-day life, and demonstrated distinct traits in terms of identity and perception of chronic disease. Participants described the potential benefits of expanding their networks to include online peers as sources of novel information, motivation, and access to supportive environments. Lack of technological skills, fear of being scammed, or preference for keeping illness-related problems for themselves and immediate family were reported by some as barriers to engaging with online peer support.

CONCLUSIONS

In this small-scale study, the social network assessment tool proved feasible and acceptable. These data show the value of using a social network tool as a research tool that can help assess and understand network structure and engagement in the self-management support and could be developed into an intervention to support self-management. Patients' preferences to share illness experiences with their online peers, as well as the contexts in which this can be acceptable, should be considered when developing and offering digital social interventions. Future studies can explore the evolution of the social networks of older people with chronic illnesses to understand whether their willingness to engage with online peers can change over time.

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7c18/9157321/937809a527e9/formative_v6i5e35244_fig4.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7c18/9157321/01b21c3f6fa1/formative_v6i5e35244_fig1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7c18/9157321/91d9fae02f4c/formative_v6i5e35244_fig2.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7c18/9157321/f429804a2896/formative_v6i5e35244_fig3.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7c18/9157321/937809a527e9/formative_v6i5e35244_fig4.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7c18/9157321/01b21c3f6fa1/formative_v6i5e35244_fig1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7c18/9157321/91d9fae02f4c/formative_v6i5e35244_fig2.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7c18/9157321/f429804a2896/formative_v6i5e35244_fig3.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7c18/9157321/937809a527e9/formative_v6i5e35244_fig4.jpg
摘要

背景

个人的社交网络和社会支持是自我管理和自我效能的基本决定因素。在慢性呼吸道疾病中,可以促进和优化社会支持,以促进呼吸困难的自我管理。

目的

本研究旨在确定线上和线下社交网络如何在老年慢性呼吸道疾病患者的健康管理中发挥作用,探讨线上同伴支持在患者自我管理中的作用,并了解数字社交干预的障碍和潜在益处。

方法

我们从一家医院运营的歌唱小组招募参与者,参加在英国伦敦举办的一个工作坊,并对定量社交网络评估工具PERSNET进行了改编。由于新冠疫情封锁,第二个工作坊改为电话访谈。使用主题分析法对访谈记录进行分析。

结果

共有7名参与者(2/7,29%为男性,5/7,71%为女性),年龄在64至81岁之间,绘制了包含5至10个人的网络图,其中包括家庭成员、医护人员、同事、活动小组、线下和线上朋友以及同伴。这些可视化地图有助于反思,并增强了参与者对线下和线上社交网络在慢性呼吸道疾病管理中作用的理解。它还突出了社交网络自身在自我管理支持方面所做的工作。社交网络小且紧密的参与者获得了身体、健康和情感支持,而社交网络更多样化且庞大的参与者则受益于获取其他和补充性的信息来源。后一种网络类型的参与者在谈论自己的疾病时往往更开放、更自在,分享了疾病对其日常生活的影响,并在慢性病的身份认同和认知方面表现出明显特征。参与者描述了扩大社交网络以纳入线上同伴作为新信息、动力和获得支持性环境来源的潜在益处。一些人报告称,缺乏技术技能、害怕被骗或倾向于将与疾病相关的问题留给自己和直系亲属是参与线上同伴支持的障碍。

结论

在这项小规模研究中,社交网络评估工具被证明是可行且可接受的。这些数据显示了将社交网络工具用作研究工具的价值,该工具可帮助评估和理解网络结构以及在自我管理支持中的参与情况,并可发展成为一种支持自我管理的干预措施。在开发和提供数字社交干预措施时,应考虑患者与线上同伴分享疾病经历的偏好以及这种分享可被接受的背景。未来的研究可以探索患有慢性病的老年人社交网络的演变,以了解他们与线上同伴互动的意愿是否会随时间而改变。

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