Variables Associated with Coronavirus Disease 2019 Vaccine Hesitancy Amongst Patients with Neurological Disorders

被引:11
作者
Ghaffari-Rafi, Arash [1 ,2 ]
Teehera, Kimberly Bergenholtz [2 ]
Higashihara, Tate Justin [2 ]
Morden, Frances Tiffany Cava [2 ]
Goo, Connor [2 ]
Pang, Michelle [2 ]
Sutton, Cori Xiu Yue [2 ]
Kim, Kyung Moo [2 ]
Lew, Rachel Jane [2 ]
Luu, Kayti [2 ]
Yamashita, Shaina [3 ]
Mitchell, Catherine [4 ]
Carrazana, Enrique [2 ,4 ]
Viereck, Jason [2 ,4 ]
Liow, Kore Kai [2 ,4 ]
机构
[1] Univ Calif Davis, Sch Med, Dept Neurol Surg, Sacramento, CA 95817 USA
[2] Univ Hawaii Manoa, John A Burns Sch Med, Honolulu, HI 96813 USA
[3] Univ Hawaii Manoa, Honolulu, HI 96822 USA
[4] Hawaii Pacific Neurosci, Brain Res Innovat & Translat Lab, Honolulu, HI 96817 USA
基金
英国科研创新办公室;
关键词
coronavirus disease 2019; neurological disorders; vaccine hesitancy; quality improvement; socioeconomic; demographic; risk factors; Hawaii; CHARLSON COMORBIDITY INDEX; AUDIT-C; INSURANCE STATUS; ALCOHOL MISUSE; SCREENING-TEST; MEDICAL-CARE; HEALTH; DEFINITION; PREDICTORS; COVERAGE;
D O I
10.3390/idr13030072
中图分类号
R51 [传染病];
学科分类号
100401 ;
摘要
Introduction: Given that the success of vaccines against coronavirus disease 2019 (COVID-19) relies on herd immunity, identifying patients at risk for vaccine hesitancy is imperative-particularly for those at high risk for severe COVID-19 (i.e., minorities and patients with neurological disorders). Methods: Among patients from a large neuroscience institute in Hawaii, vaccine hesitancy was investigated in relation to over 30 sociodemographic variables and medical comorbidities, via a telephone quality improvement survey conducted between 23 January 2021 and 13 February 2021. Results: Vaccine willingness (n = 363) was 81.3%. Univariate analysis identified that the odds of vaccine acceptance reduced for patients who do not regard COVID-19 as a severe illness, are of younger age, have a lower Charlson Comorbidity Index, use illicit drugs, or carry Medicaid insurance. Multivariable logistic regression identified the best predictors of vaccine hesitancy to be: social media use to obtain COVID-19 information, concerns regarding vaccine safety, self-perception of a preexisting medical condition contraindicated with vaccination, not having received the annual influenza vaccine, having some high school education only, being a current smoker, and not having a prior cerebrovascular accident. Unique amongst males, a conservative political view strongly predicted vaccine hesitancy. Specifically for Asians, a higher body mass index, while for Native Hawaiians and other Pacific Islanders (NHPI), a positive depression screen, both reduced the odds of vaccine acceptance. Conclusion: Upon identifying the variables associated with vaccine hesitancy amongst patients with neurological disorders, our clinic is now able to efficiently provide ancillary COVID-19 education to sub-populations at risk for vaccine hesitancy. While our results may be limited to the sub-population of patients with neurological disorders, the findings nonetheless provide valuable insight to understanding vaccine hesitancy.
引用
收藏
页码:763 / 810
页数:48
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