Suppr超能文献

#BCSM的历史以及以患者为中心的在线互动与参与的见解。

A History of #BCSM and Insights for Patient-Centered Online Interaction and Engagement.

作者信息

Katz Matthew S, Staley Alicia C, Attai Deanna J

机构信息

Department of Radiation Medicine, Lowell General Hospital, Lowell, MA.

Medidata, a Dassault Systèmes company, Boston, MA.

出版信息

J Patient Cent Res Rev. 2020 Oct 23;7(4):304-312. doi: 10.17294/2330-0698.1753. eCollection 2020 Fall.

Abstract

PURPOSE

Participation in cancer support groups can provide a sense of community and may better prepare patients for interactions with their health care team. Online interactions may overcome some barriers to in-person support group participation. #BCSM (breast cancer social media), the first cancer support community established on Twitter, was founded in 2011 by two breast cancer survivors. The aims of this study are to describe the growth and changes in this community and to discuss future directions and lessons that may apply to other online support communities.

METHODS

Symplur Signals was used to obtain all #BCSM Twitter data from January 1, 2011, to January 1, 2020 (00:00:00 Coordinated Universal Time for both). Hashtag use by selected stakeholder groups, user locations, weekly tweet chat activity, and topics were determined.

RESULTS

From year 1 (2011) to year 9 (2019), tweets using the #BCSM hashtag increased by 424%. Tweets by patient advocates increased by 226%, with a peak in 2016. Impressions, a measure of potential tweet views, by patient advocates increased by 517%. Tweets by doctors and nonphysician health care professionals increased by 693%. Weekly #BCSM tweet chat activity peaked in 2013, increasing by 58.1% from 2011. Chat topics have included survivorship, metastatic breast cancer, death and dying, advocacy, and highlights from national breast cancer meetings.

CONCLUSIONS

#BCSM has experienced tremendous growth since 2011, although there are challenges to community sustainability. The weekly chats, as well as discussions utilizing the hashtag but occurring outside of scheduled chat times, serve as an important resource for patients and offer physicians an opportunity to both support and learn from patients.

摘要

目的

参与癌症支持小组可提供一种社区归属感,并可能使患者更好地为与医疗团队的互动做好准备。在线互动可能会克服亲自参加支持小组的一些障碍。#BCSM(乳腺癌社交媒体)是在推特上建立的首个癌症支持社区,于2011年由两名乳腺癌幸存者创立。本研究的目的是描述该社区的发展和变化,并讨论可能适用于其他在线支持社区的未来方向和经验教训。

方法

使用Symplur Signals获取2011年1月1日至2020年1月1日(均为协调世界时00:00:00)期间所有#BCSM推特数据。确定选定利益相关者群体的主题标签使用情况、用户所在地、每周推文聊天活动和主题。

结果

从第1年(2011年)到第9年(2019年),使用#BCSM主题标签的推文增加了424%。患者倡导者发布的推文增加了226%,在2016年达到峰值。患者倡导者发布的推文的展示量(衡量潜在推文浏览量的指标)增加了517%。医生和非医生医疗专业人员发布的推文增加了693%。#BCSM每周推文聊天活动在2013年达到峰值,比2011年增加了58.1%。聊天主题包括生存、转移性乳腺癌、死亡与临终、宣传以及全国乳腺癌会议的亮点。

结论

自2011年以来,#BCSM经历了巨大的发展,尽管社区可持续性存在挑战。每周的聊天以及利用该主题标签但在预定聊天时间之外进行的讨论,是患者的重要资源,也为医生提供了一个支持患者并向患者学习的机会。

相似文献

5
#InterventionalRadiology.介入放射学
J Vasc Interv Radiol. 2018 May;29(5):669-675. doi: 10.1016/j.jvir.2017.12.023. Epub 2018 Feb 1.

引用本文的文献

2
Social Media and Cardiovascular Health: Implications for Women.社交媒体与心血管健康:对女性的影响。
Curr Atheroscler Rep. 2022 Dec;24(12):901-913. doi: 10.1007/s11883-022-01069-9. Epub 2022 Nov 28.
3
Online Medical Misinformation in Cancer: Distinguishing Fact From Fiction.网络癌症医疗谣言:辨别真假。
JCO Oncol Pract. 2022 Aug;18(8):584-589. doi: 10.1200/OP.21.00764. Epub 2022 Mar 31.
5
Netiquette for social media engagement for oncology professionals.社交媒体参与规范:肿瘤专业人员篇
Future Oncol. 2022 Mar;18(9):1133-1141. doi: 10.2217/fon-2021-1366. Epub 2022 Feb 3.
7
Patients Are Knowledge Workers in the Clinical Information Space.患者是临床信息空间中的知识型员工。
Appl Clin Inform. 2021 Jan;12(1):133-140. doi: 10.1055/s-0041-1723022. Epub 2021 Feb 24.
8
Action Items for Breast Cancer Awareness Month.乳腺癌防治月的行动事项。
J Patient Cent Res Rev. 2020 Oct 23;7(4):291-294. doi: 10.17294/2330-0698.1801. eCollection 2020 Fall.

本文引用的文献

8
Social media for breast cancer survivors: a literature review.乳腺癌幸存者的社交媒体:文献综述
J Cancer Surviv. 2017 Dec;11(6):808-821. doi: 10.1007/s11764-017-0620-5. Epub 2017 Jun 10.

文献检索

告别复杂PubMed语法,用中文像聊天一样搜索,搜遍4000万医学文献。AI智能推荐,让科研检索更轻松。

立即免费搜索

文件翻译

保留排版,准确专业,支持PDF/Word/PPT等文件格式,支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述,25分钟生成高质量综述,智能提取关键信息,辅助科研写作。

立即免费体验