谷歌浏览器插件
订阅小程序
在清言上使用

Factors That Impact Effective Public Health Communication with Michigan's Latinx Population in the Context of COVID-19.

Health education & behavior the official publication of the Society for Public Health Education(2024)

引用 0|浏览0
暂无评分
摘要
The far-reaching impact of the COVID-19 pandemic on Latinx communities is well-documented. This population has higher rates of COVID-19 infection and death compared with non-Latinx White Americans mainly due to long-standing problems related to Social Determinants of Health. Communication about issues such as health threats and safety measures are a vital part of public health, and need to be appropriate to the population of focus. To understand the effectiveness of public health communication to Latinx communities in Michigan during the COVID-19 pandemic, semi-structured interviews (n = 16) and three focus groups (n = 24 participants) were conducted virtually in 2021 across counties in Michigan deeply impacted by COVID-19: Washtenaw, Kent, Genesee, and Wayne. Participants shared some facilitating factors that supported effective health communication during the pandemic for their communities. For instance, in their experiences, religious and community leaders were especially effective in communicating information about the pandemic. They also expressed issues with English often being the only language of official communication; the need for bilingual options; and, the need for multiple channels of communication to reach as many people as possible. Participants also highlighted their concerns about inconsistent government communication and politicizing messages as a hindering factor that impacted effective health communication within their communities. Lessons from successes and failures experienced during the COVID-19 pandemic are vital to improving health outcomes for marginalized communities during public health crises. Future responses must ensure that public health communication is appropriate and effective for Latinx communities to better protect them.
更多
查看译文
AI 理解论文
溯源树
样例
生成溯源树,研究论文发展脉络
Chat Paper
正在生成论文摘要