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使用#SaludTues Tweetchats 传播关于拉丁裔健康公平的文化相关信息:探索性案例研究。

Use of #SaludTues Tweetchats for the Dissemination of Culturally Relevant Information on Latino Health Equity: Exploratory Case Study.

机构信息

Department of Population Health Sciences, Institute for Health Promotion Research, UT Health San Antonio, San Antonio, TX, United States.

出版信息

JMIR Public Health Surveill. 2021 Mar 1;7(3):e21266. doi: 10.2196/21266.

DOI:10.2196/21266
PMID:33646131
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC7961409/
Abstract

BACKGROUND

Latinx people comprise 18% of the US adult population and a large share of youth and continue to experience inequities that perpetuate health disparities. To engage Latinx people in advocacy for health equity based on this population's heavy share of smartphone, social media, and Twitter users, Salud America! launched the #SaludTues Tweetchat series. In this paper, we explore the use of #SaludTues to promote advocacy for Latinx health equity.

OBJECTIVE

This study aims to understand how #SaludTues Tweetchats are used to promote dissemination of culturally relevant information on social determinants of health, to determine whether tweetchats serve to drive web traffic to the Salud America! website, and to understand who participates in #SaludTues Tweetchats and what we can learn about the participants. We also aim to share our own experiences and present a step-by-step guide of how tweetchats are planned, developed, promoted, and executed.

METHODS

We explored tweetchat data collected between 2014 and 2018 using Symplur and Google Analytics to identify groups of stakeholders and web traffic. Network analysis and mapping tools were also used to derive insights from this series of chats.

RESULTS

We conducted 187 chats with 24,609 reported users, 177,466 tweets, and more than 1.87 billion impressions using the hashtag #SaludTues during this span, demonstrating effective dissemination of and exposure to culturally relevant information. Traffic to the Salud America! website was higher on Tuesdays than any other day of the week, suggesting that #SaludTues Tweetchats acted effectively as a website traffic-driving tool. Most participants came from advocacy organizations (165/1000, 16.5%) and other health care-related organizations (162/1000, 16.2%), whereas others were unknown users (147/1000, 14.7%) and individual users outside of the health care sector (117/1000, 11.7%). The majority of participants were located in Texas, California, New York, and Florida, all states with high Latinx populations.

CONCLUSIONS

Carefully planned, culturally relevant tweetchats such as #SaludTues can be a powerful tool for public health practitioners and advocates to engage audiences on Twitter around health issues, advocacy, and policy solutions for Latino health equity. Further information is needed to determine the effect that #SaludTues Tweetchats have on self- and collective efficacy for advocacy in the area of Latino health equity.

摘要

背景

拉丁裔占美国成年人口的 18%,其中很大一部分是年轻人,他们仍然面临着持续存在的不平等问题,这些不平等问题使健康差距永久存在。为了让拉丁裔参与到基于该人群在智能手机、社交媒体和 Twitter 用户中所占比例较大的健康公平权益倡导中来,“健康美国!”发起了#SaludTues 推特聊天系列活动。在本文中,我们探讨了使用#SaludTues 来促进关于健康公平的拉丁裔健康的宣传。

目的

本研究旨在了解#SaludTues 推特聊天如何用于促进社会决定因素对健康的相关信息的传播,以确定推特聊天是否有助于将流量吸引到“健康美国!”网站,并了解参与#SaludTues 推特聊天的人员以及我们可以从他们身上了解到什么。我们还旨在分享我们自己的经验,并提供一个关于如何计划、开发、推广和执行推特聊天的逐步指南。

方法

我们使用 Symplur 和 Google Analytics 探索了 2014 年至 2018 年间收集的推特聊天数据,以确定利益相关者群体和网站流量。我们还使用网络分析和映射工具来从这一系列聊天中获得见解。

结果

在此期间,我们共进行了 187 次聊天,有 24609 名报告用户参与,发布了 177466 条推文,#SaludTues 的浏览量超过 18.7 亿次,这表明了对相关信息的有效传播和展示。“健康美国!”网站的流量在周二比一周中的任何其他日子都要高,这表明#SaludTues 推特聊天有效地充当了网站流量驱动工具。大多数参与者来自倡导组织(165/1000,16.5%)和其他与医疗保健相关的组织(162/1000,16.2%),而其他参与者则是未知用户(147/1000,14.7%)和医疗保健领域以外的个人用户(117/1000,11.7%)。大多数参与者位于德克萨斯州、加利福尼亚州、纽约州和佛罗里达州,这些州都有大量的拉丁裔人口。

结论

精心策划的、具有文化相关性的推特聊天,如#SaludTues,可以成为公共卫生从业人员和倡导者在 Twitter 上围绕健康问题、倡导和拉丁裔健康公平政策解决方案与受众互动的有力工具。需要进一步的信息来确定#SaludTues 推特聊天对拉丁裔健康公平领域的倡导的自我和集体效能的影响。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9b78/7961409/deccd8f68279/publichealth_v7i3e21266_fig5.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9b78/7961409/c88f554b569a/publichealth_v7i3e21266_fig1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9b78/7961409/33f173085c13/publichealth_v7i3e21266_fig2.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9b78/7961409/cf23b53ad41b/publichealth_v7i3e21266_fig3.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9b78/7961409/c4991d5dbc83/publichealth_v7i3e21266_fig4.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9b78/7961409/deccd8f68279/publichealth_v7i3e21266_fig5.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9b78/7961409/c88f554b569a/publichealth_v7i3e21266_fig1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9b78/7961409/33f173085c13/publichealth_v7i3e21266_fig2.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9b78/7961409/cf23b53ad41b/publichealth_v7i3e21266_fig3.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9b78/7961409/c4991d5dbc83/publichealth_v7i3e21266_fig4.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9b78/7961409/deccd8f68279/publichealth_v7i3e21266_fig5.jpg

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