洞察退伍军人对COVID-19疫苗接种的动机和犹豫:一项混合方法分析。

Alexis K Barrett, Jaime E Sidani, Kelly H Burkitt, Elijah Z Lovelace, Ali F Sonel, Beth L Hoffman, Galen Switzer, Keri L Rodriguez, Kristina L Hruska, Maria K Mor, Nicole M Beyer, Riley Wolynn, Tiffany Pellathy, Michael J Fine
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引用次数: 0

摘要

背景:尽管发病率和死亡率与COVID-19感染相关,但疫苗犹豫仍然是接种的障碍。本文评估了是否可以根据与COVID-19相关的思想和感受识别出独特的集群,以及集群成员是否与COVID-19疫苗接种相关。我们还探讨了个人的思想、信仰和信任如何影响疫苗使用的动机和犹豫。方法:该混合方法质量改进项目于2021年7月至2022年5月在匹兹堡退伍军人事务部医疗保健系统的初级保健部门进行。主要终点是自我报告的COVID-19疫苗接种。k -均值分析用于根据问卷回答识别聚类,多变量逻辑回归用于评估聚类隶属度与疫苗接种之间的关系。我们对疫苗接种率最低的两组患者进行了定性访谈,以探讨疫苗接种动机和犹豫。结果:1208名应答者中,1034名(85.6%)接种了疫苗。疫苗接种率分别为29.9%、93.3%、93.5%和98.9%。聚类隶属度与疫苗接种独立相关,3个最常接种疫苗的聚类的调整优势比为12.1 (95% CI, 6.1-23.8)、13.0 (95% CI, 6.9-24.5)和48.6 (95% CI, 15.5-152.0)。对47个定性访谈的专题分析发现,保护自己和保护他人是接种疫苗的最常见动机。最常见的关切是疫苗的迅速发展和不良影响,这两者在疫苗接种率最低的集群中更经常得到认可。结论:基于感染和疫苗相关思想和感受的独特患者群与COVID-19疫苗接种独立相关。关于疫苗接种和犹豫的可识别主题在这些群集中各不相同。这些主题可用于制定战略,以减少疫苗犹豫并增加退伍军人的疫苗接种率。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Insights Into Veterans' Motivations and Hesitancies for COVID-19 Vaccine Uptake: A Mixed-Methods Analysis.

Background: Despite the morbidity and mortality associated with COVID-19 infection, vaccine hesitancy remains a barrier to uptake. This article assessed whether unique clusters can be identified based on COVID-19-related thoughts and feelings and whether cluster membership is associated with COVID-19 vaccination. We also explored how individuals' thoughts, beliefs, and trust shape motivations and hesitancies for vaccine use.

Methods: This mixed-methods quality improvement project was conducted from July 2021 through May 2022 in Primary Care at the Veterans Affairs Pittsburgh Healthcare System. The primary outcome was self-reported COVID-19 vaccination. K-means analysis were used to identify clusters based on questionnaire responses, and multivariable logistic regression were used to assess the association between cluster membership and vaccination. We conducted qualitative interviews with patients in the 2 clusters with the lowest vaccination rates to explore vaccination motivations and hesitancies.

Results: Among 1208 respondents, 1034 (85.6%) were vaccinated. Four unique clusters were identified with vaccination rates of 29.9%, 93.3%, 93.5%, and 98.9%. Cluster membership was independently associated with vaccination, with adjusted odds ratios in the 3 most frequently vaccinated clusters of 12.1 (95% CI, 6.1-23.8), 13.0 (95% CI, 6.9-24.5), and 48.6 (95% CI, 15.5-152.0). Thematic analyses of 47 qualitative interviews found that protecting oneself and protecting others were the most common motivators for vaccination. The most common concerns were the rapid development of the vaccines and adverse effects, both more frequently endorsed in the cluster with the lowest vaccination rate.

Conclusions: Unique patient clusters based on infection- and vaccine-related thoughts and feelings are independently associated with COVID-19 vaccination. Identifiable themes regarding vaccine uptake and hesitancy vary among these clusters. These themes can be used to tailor strategies to diminish vaccine hesitancy and augment vaccination uptake among veterans.

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