Selected article for: "age class and logistic regression"

Author: Amuzie, Chidinma Ihuoma; Odini, Franklin; Kalu, Kalu Ulu; Izuka, Michael; Nwamoh, Uche; Emma-Ukaegbu, Uloaku; Onyike, Grace
Title: COVID-19 vaccine hesitancy among healthcare workers and its socio-demographic determinants in Abia State, Southeastern Nigeria: a cross-sectional study
  • Cord-id: x99nmnv4
  • Document date: 2021_9_3
  • ID: x99nmnv4
    Snippet: INTRODUCTION: healthcare workers are at higher risk of COVID-19 infection with ease of infection transmissibility to coworkers and patients. Vaccine hesitancy rates of 56% and up to 25% have been reported among healthcare workers in US and China respectively. Vaccination is known as the most effective strategy to combat infectious diseases. Acceptance of the COVID-19 vaccine plays a major role in combating the pandemic. This study assessed the sociodemographic factors associated with COVID-19 va
    Document: INTRODUCTION: healthcare workers are at higher risk of COVID-19 infection with ease of infection transmissibility to coworkers and patients. Vaccine hesitancy rates of 56% and up to 25% have been reported among healthcare workers in US and China respectively. Vaccination is known as the most effective strategy to combat infectious diseases. Acceptance of the COVID-19 vaccine plays a major role in combating the pandemic. This study assessed the sociodemographic factors associated with COVID-19 vaccine hesitancy among healthcare workers in Abia State. METHODS: a cross-sectional study among 422 healthcare workers was conducted in Abia State with an online-based questionnaire. The questionnaire extracted information on socio-demographics and willingness to take vaccine uptake. Descriptive statistics was used to calculate frequencies and proportions. Bivariate analysis was used to test the association between the socio-demographic factors and the outcome variable (vaccine hesitancy). Logistic regression was conducted to identify the predictors of COVID-19 vaccine hesitancy. The level of significance was 5%. RESULTS: mean age of the respondents was 40.6 ± 9.5 years and 67.1% were females The COVID-19 vaccine hesitancy rate was 50.5% (95%CI: 45.6%-55.3%). Socio-demographic factors included age, marital status, location of practice, profession, and income. Vaccine Hesitancy was predicted significantly by younger age (aOR=9.34, 95%CI:2.01-43.39), marital status (single) (aOR=4.97, 95%CI:1.46-16.97), lower income (aOR=2.84, 95%CI:1.32-6.08), and profession – Doctor (aOR=0.28, 95%CI:0.11-0.70), Nurse (aOR=0.31, 95%CI:0.15-0.64) and other allied health professionals (aOR=0.22, 95%CI:0.10-0.44). CONCLUSION: COVID-19 vaccine hesitancy was high among healthcare workers. Significant sociodemographic predictors influence the uptake of the COVID-19 vaccine. We recommend that the Federal and State Ministries of Health conduct awareness campaigns targeting the younger age group, singles, lower income class, and non-clinical staff.

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