Transforming and facilitating health care delivery through social networking platforms: evidences and implications from WeChat.

IF 2.5 Q2 HEALTH CARE SCIENCES & SERVICES JAMIA Open Pub Date : 2024-05-30 eCollection Date: 2024-07-01 DOI:10.1093/jamiaopen/ooae047
Jiancheng Ye
{"title":"Transforming and facilitating health care delivery through social networking platforms: evidences and implications from WeChat.","authors":"Jiancheng Ye","doi":"10.1093/jamiaopen/ooae047","DOIUrl":null,"url":null,"abstract":"<p><strong>Objectives: </strong>Telehealth or remote care has been widely leveraged to provide health care support and has achieved tremendous developments and positive results, including in low- and middle-income countries (LMICs). Social networking platform, as an easy-to-use tool, has provided users with simplified means to collect data outside of the traditional clinical environment. WeChat, one of the most popular social networking platforms in many countries, has been leveraged to conduct telehealth and hosted a vast amount of patient-generated health data (PGHD), including text, voices, images, and videos. Its characteristics of convenience, promptness, and cross-platform support enrich and simplify health care delivery and communication, addressing some weaknesses of traditional clinical care during the pandemic. This study aims to systematically summarize how WeChat platform has been leveraged to facilitate health care delivery and how it improves the access to health care.</p><p><strong>Materials and methods: </strong>Utilizing Levesque's health care accessibility model, the study explores WeChat's impact across 5 domains: Approachability, Acceptability, Availability and accommodation, Affordability, and Appropriateness.</p><p><strong>Results: </strong>The findings highlight WeChat's diverse functionalities, ranging from telehealth consultations and remote patient monitoring to seamless PGHD exchange. WeChat's integration with health tracking apps, support for telehealth consultations, and survey capabilities contribute significantly to disease management during the pandemic.</p><p><strong>Discussion and conclusion: </strong>The practices and implications from WeChat may provide experiences to utilize social networking platforms to facilitate health care delivery. The utilization of WeChat PGHD opens avenues for shared decision-making, prompting the need for further research to establish reporting guidelines and policies addressing privacy and ethical concerns associated with social networking platforms in health research.</p>","PeriodicalId":36278,"journal":{"name":"JAMIA Open","volume":"7 2","pages":"ooae047"},"PeriodicalIF":2.5000,"publicationDate":"2024-05-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11138362/pdf/","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"JAMIA Open","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1093/jamiaopen/ooae047","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"2024/7/1 0:00:00","PubModel":"eCollection","JCR":"Q2","JCRName":"HEALTH CARE SCIENCES & SERVICES","Score":null,"Total":0}
引用次数: 0

Abstract

Objectives: Telehealth or remote care has been widely leveraged to provide health care support and has achieved tremendous developments and positive results, including in low- and middle-income countries (LMICs). Social networking platform, as an easy-to-use tool, has provided users with simplified means to collect data outside of the traditional clinical environment. WeChat, one of the most popular social networking platforms in many countries, has been leveraged to conduct telehealth and hosted a vast amount of patient-generated health data (PGHD), including text, voices, images, and videos. Its characteristics of convenience, promptness, and cross-platform support enrich and simplify health care delivery and communication, addressing some weaknesses of traditional clinical care during the pandemic. This study aims to systematically summarize how WeChat platform has been leveraged to facilitate health care delivery and how it improves the access to health care.

Materials and methods: Utilizing Levesque's health care accessibility model, the study explores WeChat's impact across 5 domains: Approachability, Acceptability, Availability and accommodation, Affordability, and Appropriateness.

Results: The findings highlight WeChat's diverse functionalities, ranging from telehealth consultations and remote patient monitoring to seamless PGHD exchange. WeChat's integration with health tracking apps, support for telehealth consultations, and survey capabilities contribute significantly to disease management during the pandemic.

Discussion and conclusion: The practices and implications from WeChat may provide experiences to utilize social networking platforms to facilitate health care delivery. The utilization of WeChat PGHD opens avenues for shared decision-making, prompting the need for further research to establish reporting guidelines and policies addressing privacy and ethical concerns associated with social networking platforms in health research.

查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
通过社交网络平台改变和促进医疗服务的提供:微信的证据和影响。
目的:远程医疗或远程护理已被广泛用于提供医疗保健支持,并取得了巨大的发展和积极的成果,包括在中低收入国家(LMIC)。社交网络平台作为一种易于使用的工具,为用户提供了在传统临床环境之外收集数据的简化手段。微信是许多国家最流行的社交网络平台之一,已被用于开展远程医疗,并承载了大量由患者生成的健康数据(PGHD),包括文字、语音、图片和视频。其方便、快捷和跨平台支持的特点丰富和简化了医疗服务的提供和交流,解决了大流行期间传统临床医疗的一些弱点。本研究旨在系统总结如何利用微信平台促进医疗服务的提供,以及如何改善医疗服务的可及性:本研究利用 Levesque 的医疗保健可及性模型,探讨了微信在 5 个领域的影响:结果:研究结果凸显了微信对医疗服务可及性的不同影响:研究结果强调了微信的多种功能,包括远程医疗咨询、远程患者监护以及无缝的普通保健数据交换。微信与健康追踪应用程序的整合、对远程医疗会诊的支持以及调查功能大大促进了大流行期间的疾病管理:微信的实践和启示可为利用社交网络平台促进医疗服务提供提供经验。利用微信PGHD为共同决策开辟了途径,促使有必要开展进一步研究,以制定报告指南和政策,解决健康研究中与社交网络平台相关的隐私和伦理问题。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 去求助
来源期刊
JAMIA Open
JAMIA Open Medicine-Health Informatics
CiteScore
4.10
自引率
4.80%
发文量
102
审稿时长
16 weeks
期刊最新文献
Aligning prediction models with clinical information needs: infant sepsis case study. Semantic enrichment of Pomeranian health study data using LOINC and WHO-FIC terminology mapping principles. Exploring beyond diagnoses in electronic health records to improve discovery: a review of the phenome-wide association study. Toward digital caregiving network interventions for children with medical complexity living in socioeconomically disadvantaged neighborhoods. Transforming appeal decisions: machine learning triage for hospital admission denials.
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 联系我们:info@booksci.cn
Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。
Copyright © 2023 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1