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探讨全球大流行病 COVID-19 期间护士的在线观点和社交网络。

Exploring nurses' online perspectives and social networks during a global pandemic COVID-19.

机构信息

School of Health and Social Care, Edinburgh Napier University, Edinburgh, UK.

Centre for Biomedicine, Self and Society, Usher Institute, The Edinburgh of University, Edinburgh, UK.

出版信息

Public Health Nurs. 2022 May;39(3):586-600. doi: 10.1111/phn.12994. Epub 2021 Oct 22.

Abstract

OBJECTIVES

Examine the online interactions, social networks, and perspectives of nursing actors on COVID-19 from conversations on Twitter to understand how the profession responded to this global pandemic.

DESIGN

Mixed methods.

SAMPLE

Ten-thousand five-hundred and seventy-four tweets by 2790 individuals and organizations.

MEASUREMENTS

NodeXL software was used for social network analysis to produce a network visualization. The betweenness centrality algorithm identified key users who were influential in COVID-19 related conversations on Twitter. Inductive content analysis enabled exploration of tweet content. A communicative figurations framework guided the study.

RESULTS

Nursing actors formed different social groupings, and communicated with one another across groups. Tweets covered four themes; (1) outbreak and clinical management of the infectious disease, (2) education and information sharing, (3) social, economic, and political context, and (4) working together and supporting each other.

CONCLUSION

In addition to spreading knowledge, nurses tried to reach out through social media to political and healthcare leaders to advocate for improvements needed to address COVID-19. However, they primarily conversed within their own professional community. Action is needed to better understand how social media is and can be used by nurses for health communication, and to improve their preparedness to be influential on social media beyond the nursing community.

摘要

目的

通过分析 Twitter 上的对话,研究护理人员在 COVID-19 方面的在线互动、社交网络和观点,以了解该专业如何应对这一全球性大流行。

设计

混合方法。

样本

2790 名个人和组织发布的 15740 条推文。

测量

使用 NodeXL 软件进行社交网络分析,生成网络可视化。中间中心性算法确定了在 COVID-19 相关推文上具有影响力的关键用户。归纳内容分析使我们能够探索推文的内容。交际模式框架指导了这项研究。

结果

护理人员形成了不同的社交群体,并在群体之间进行交流。推文涵盖了四个主题:(1)传染病的爆发和临床管理;(2)教育和信息共享;(3)社会、经济和政治背景;(4)共同努力和相互支持。

结论

除了传播知识外,护士还试图通过社交媒体联系政治和医疗保健领导人,倡导解决 COVID-19 所需的改进。然而,他们主要在自己的专业社区内交流。需要采取行动,以更好地了解社交媒体是如何以及可以被护士用于健康传播,并提高他们在护理社区之外在社交媒体上具有影响力的准备。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/cbb1/8661865/d188a7c240de/PHN-39-586-g001.jpg

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