确定台湾原住民优化COVID-19疫苗接种的成功因素:横断面问卷调查

IF 3.9 2区 医学 Q1 PUBLIC, ENVIRONMENTAL & OCCUPATIONAL HEALTH
Jia-Chi Tu Abùs Isbabanal, Ray-E Chang, Liam O'Neill, Ting-Hung Chen, Po-Han Lee, Tsan-Teng Ou
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引用次数: 0

摘要

背景:2019冠状病毒病大流行破坏了世界各地的经济,使卫生保健系统紧张。疫苗接种对疫情控制至关重要,但国家之间和国家内部仍然存在差异。在台湾,某些土著地区的疫苗接种率较低,这促使人们进行全面调查。目的:本研究旨在确定COVID-19疫苗接种的预测因素,并为土著社区制定策略。方法:横断面研究于2022年5月13日至7月18日,以台湾南部某山区55岁以上原住民为调查对象。基于健康信念模型,问卷涵盖了社会人口因素、健康相关问题和对医生的信任。分析包括双变量分析、逻辑回归和中介分析。结果:研究对象以55 ~ 64岁(102/203,50.2%)、女性(129/203,63.5%)、已婚(104/203,51.2%)、文化程度低(165/203,81.3%)、从事农业(79/203,38.9%)或无业(104/203,51.2%)为主(N=203)。Logistic回归显示,未接种疫苗的个体更有可能感受到较低的COVID-19威胁(P= 0.03),更少的疫苗接种益处(P= 0.04),更高的疫苗接种障碍(P= 0.02),以及对外部行动线索的反应较弱(P= 0.04)。针对土著社区的有效大流行病预防战略应以细致入微地了解当地需求为基础,并纳入自下而上的方法,以避免文化饱和和现有健康差距的加剧。确保土著老年人获得的疫苗相关信息的准确性和清晰度至关重要。地方卫生当局应考虑部署卫生保健专业人员直接与土著老年人及其照顾者接触,提供文化上适当的循证信息,以解决有关疫苗安全和感知风险的关切。这些努力对于加强这些社区对疫苗的信心和增加疫苗接种率至关重要。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Identifying Success Factors for Optimizing COVID-19 Vaccine Uptake Among Indigenous Populations in Taiwan: Cross-Sectional Questionnaire Survey.

Background: The COVID-19 pandemic has devastated economies and strained health care systems worldwide. Vaccination is crucial for outbreak control, but disparities persist between and within countries. In Taiwan, certain indigenous regions show lower vaccination rates, prompting comprehensive inquiries.

Objective: This study aims to identify predictors for COVID-19 vaccination and develop strategies for indigenous communities.

Methods: This cross-sectional study, conducted from May 13 to July 18, 2022, surveyed indigenous community members older than 55 years residing in a mountain area in southern Taiwan. Based on the health belief model, the questionnaire covered sociodemographic factors, health-related issues, and trust in physicians. The analysis included bivariate analysis, logistic regression, and mediation analysis.

Results: Most participants (N=203) were aged 55-64 years (102/203, 50.2%), female (129/203, 63.5%), married (104/203, 51.2%), with low education (165/203, 81.3%), and engaged in agriculture (79/203, 38.9%) or were unemployed (104/203, 51.2%). Logistic regression revealed that unvaccinated individuals were significantly more likely to perceive lower COVID-19 threats (P=.03), fewer vaccination benefits (P=.04), higher barriers to vaccination (P=.02), and weaker responses to external cues to action (P<.001), while no significant differences were observed in trust in physicians. Mediation analyses further indicated that trust in physicians influenced vaccine uptake indirectly through perceived barriers. The indirect effect was statistically significant (95% bootstrap CI 0.013 to 0.437), suggesting a full mediation effect.

Conclusions: Effective pandemic prevention strategies for indigenous communities should be grounded in a nuanced understanding of local needs and incorporate bottom-up approaches to avoid cultural saturation and the exacerbation of existing health disparities. Ensuring the accuracy and clarity of vaccine-related information received by indigenous older adults is essential. Local health authorities should consider deploying health care professionals to engage directly with indigenous older adults and their caregivers, delivering culturally appropriate and evidence-based information to address concerns regarding vaccine safety and perceived risks. Such efforts are critical to strengthening vaccine confidence and increasing vaccination uptake in these communities.

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来源期刊
CiteScore
13.70
自引率
2.40%
发文量
136
审稿时长
12 weeks
期刊介绍: JMIR Public Health & Surveillance (JPHS) is a renowned scholarly journal indexed on PubMed. It follows a rigorous peer-review process and covers a wide range of disciplines. The journal distinguishes itself by its unique focus on the intersection of technology and innovation in the field of public health. JPHS delves into diverse topics such as public health informatics, surveillance systems, rapid reports, participatory epidemiology, infodemiology, infoveillance, digital disease detection, digital epidemiology, electronic public health interventions, mass media and social media campaigns, health communication, and emerging population health analysis systems and tools.
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