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Table 4 Predictors of COVID-19 vaccine acceptability among HP students by multinominal logistic regression with stepwise method (forward entry) (N=911) (Line 249)

From: Predictors of COVID-19 vaccine acceptability among health professions students in Vietnam

Outcome variable B Wald Exp (B) 95% CI for Exp (B)
Vaccine acceptability    OR  
Model 1: Hesitancya
 Constant -1.715 3.913   
Cues to actions
 -1/Manufacturers not disclosing adverse effect of vaccine 0.330 7.421 1.39** 1.097-1.762
 -2/Mass media appreciating effectiveness and safety of vaccines -0.657 20.372 0.519*** 0.390-0.690
Perceived barriers
 -3/Vaccines having little efficacy & serious adverse effects 0.671 31.739 1.957*** 1.549-2.472
 -4/Adverse effect leading to death 0.504 21.708 1.656*** 1.339-2.047
Perceived severity
 -5/HP students get serious complications of COVID-19 if not vaccinated -0.294 5.983 0.745* 0.588-0.943
Demographic variables
 6/Nationality (Lao: Ref.) Vietnamese 1.653 13.711 5.221*** 2.177-12.520
 7/Majors (Physiotherapy: Ref.) Pharmacy 0.795 5.585 2.215* 1.145-4.285
 8/Seasonal influenza vaccination (No : Ref.)     
  Yes -0.484 8.063 0.616** 0.441-0.861
Model 2: Refusala
 Constant -6.607 3.392   
Cues to actions
 -1/Manufacturers not disclosing adverse effect of vaccine 1.668 8.157 5.299** 1.687-16.641
 -2/Mass media appreciating effectiveness and safety of vaccines -1.095 8.574 0.335** 0.161-0.696
Perceived barriers
 -3/Adverse effect leading to death 2.328 18.277 10.255*** 3.528-29.814
Perceived susceptibility
 - 4/Unvaccinated HP students feasibly infected COVID-19 during hospital internship -1.065 8.377 0.345** 0.168-0.709
Perceived severity
 -5/ HP students get serious complications of COVID-19 if not vaccinated -0.837 3.956 0.433* 0.190-0.988
Pseudo-R Square
 Cox and Snell’s R2 0.327
 Nagelkerke’s R2 0.423
 Mac Fadden’s R2 0.266
  1. * for p<0.05, ** p < 0.01, *** p<0.001); a: the reference is “Acceptance” ; Ref.: Reference category