Table 5.

Logistic regression model results for prediction of COVID-19 vaccination.

Parameter	Estimate (B)	Odds ratio (95% CI)	P value
Did you receive the influenza vaccine during last year’s influenza season? (reference category = “no”)	0.946	2.57 (1.37–4.81)	0.003
Previously diagnosed with COVID (reference category = “no”)	−0.648	0.52 (0.25–1.08)	0.081
Perception of greater risk of COVID infection compared to general population (reference category = “perceived risk less than or equal to general population”)	0.626	1.87 (1.01–3.46)	0.047
Positive belief in effectiveness of vaccine (reference category = “not at all effective or not very effective”)	1.534	4.63 (2.20–9.76)	< 0.001
Positive belief in safety of vaccine (reference category = “not at all safe” or “not very safe”)	1.715	5.55 (2.61–11.79)	< 0.001
Positive belief in importance of healthcare workers to receive the COVID-19 vaccine to protect their patients. (reference category = “strongly disagree” or “disagree”)	2.746	15.58 (7.74–31.33)	< 0.001
Have you received enough information to make an informed decision about being immunized against COVID-19? (reference category = “no”)	0.903	2.46 (1.12–5.39)	0.024

COVID-19, coronavirus disease of 2019.