Institute for Global Health Sciences, University of California San Francisco, San Francisco, San Francisco, CA 94158, USA.
Division of Prevention Science, University of California San Francisco, San Francisco, CA 94158, USA.
Int J Environ Res Public Health. 2024 Mar 2;21(3):294. doi: 10.3390/ijerph21030294.
Health misinformation, which was particularly prevalent during the COVID-19 pandemic, hampers public health initiatives. Spanish-speaking communities in the San Francisco Bay Area may be especially affected due to low digital health literacy and skepticism towards science and healthcare experts. Our study aims to develop a checklist to counter misinformation, grounded in community insights.
We adopted a multistage approach to understanding barriers to COVID-19 vaccine uptake in Spanish-speaking populations in Alameda and San Francisco counties. Initial work included key informant and community interviews. Partnering with a community-based organization (CBO), we organized co-design workshops in July 2022 to develop a practical tool for identifying misinformation. Template analysis identified key themes for actionable steps, such as source evaluation and content assessment. From this, we developed a Spanish-language checklist.
During formative interviews, misinformation was identified as a major obstacle to vaccine uptake. Three co-design workshops with 15 Spanish-speaking women resulted in a 10-step checklist for tackling health misinformation. Participants highlighted the need for scrutinizing sources and assessing messenger credibility, and cues in visual content that could instill fear. The checklist offers a pragmatic approach to source verification and information assessment, supplemented by resources from local CBOs.
We have co-created a targeted checklist for Spanish-speaking communities to identify and counter health misinformation. Such specialized tools are essential for populations that are more susceptible to misinformation, enabling them to differentiate between credible and non-credible information.
健康错误信息在 COVID-19 大流行期间尤为盛行,阻碍了公共卫生措施的推行。旧金山湾区的西班牙语社区可能受到特别影响,因为他们的数字健康素养较低,对科学和医疗保健专家持怀疑态度。我们的研究旨在制定一份清单,以基于社区的见解来应对错误信息。
我们采用多阶段方法来了解在阿拉米达县和旧金山县讲西班牙语的人群中 COVID-19 疫苗接种率低的原因。初步工作包括关键知情人访谈和社区访谈。与一个社区组织(CBO)合作,我们于 2022 年 7 月组织了共同设计研讨会,以开发一种识别错误信息的实用工具。模板分析确定了可采取行动的步骤的关键主题,例如来源评估和内容评估。由此,我们开发了一份西班牙语清单。
在形成性访谈中,错误信息被确定为疫苗接种率低的主要障碍。与 15 名讲西班牙语的女性进行了三次共同设计研讨会,制定了一个 10 步的清单,用于解决健康错误信息。参与者强调需要仔细审查来源和评估消息传递者的可信度,并注意视觉内容中的提示,这些提示可能会引起恐惧。该清单提供了一种实用的方法来验证来源和评估信息,并辅以当地 CBO 的资源。
我们共同为讲西班牙语的社区创建了一个有针对性的清单,以识别和应对健康错误信息。对于更容易受到错误信息影响的人群来说,这种专门的工具是必不可少的,使他们能够区分可信和不可信的信息。