TABLE 3.

Summary of Logistic Regression Analysis Demonstrating Odds of Vaccine Intent/Uptake

	β	SE B	z	OR	95% CI	P Value
Outcome: Vaccine intent/uptake (n = 446)
Variables						0.000
Age	0.01	0.01	1.32	1.01	0.99, 1.03	0.187
Female sex	−0.59	0.25	−2.33	0.34	0.34, 0.91	0.020
Education: degree	−0.01	0.26	−0.03	0.99	0.59, 1.65	0.977
Advanced degree	1.26	0.57	2.22	3.53	1.16, 10.77	0.026
Health condition	0.32	0.30	1.07	1.38	0.76, 2.50	0.286
Positive Infection History	−0.60	0.29	−2.04	0.55	0.31, 0.98	0.041
Social media exposure	0.20	0.10	1.92	1.22	1.00, 2.90	0.054
COVID-19 vulnerability	0.69	0.19	3.61	1.99	1.37, 2.90	0.000

The outcome was coded as 0 = no intent/unvaccinated and 1 = intent/vaccinated. OR = odds ratio. Sex was coded dichotomously such that 0 = male and 1 = female; three HCWs who preferred not to answer or selected third gender were not included in this model due to small numbers. Education was coded such that 0 = no degree program; 1 = degree program and 2 = advanced degree program; 7 HCWs with “other” responses were not included in this model due to small numbers. Positive Infection History was coded such that 0 = no infection history and/or did not get tested for COVID-19 and 1 = tested positive for COVID-19. Age was analyzed as a continuous variable; subjects provided their age in response to the question “How old are you?” HCWs = healthcare workers.