COVID-19 vaccine acceptance and its determinants: A cross-sectional study among the socioeconomically disadvantaged communities living in Delhi, India. (August 2022)

• Record Type: Journal Article
• Authors: Kusuma, Yadlapalli S.; Kant, Shashi
• Is Part Of: Vaccine. Volume 11(2022)
• Publication Date: 2022-08
• Subjects: SARS-CoV-2 -- Vaccine acceptance -- Vaccine hesitancy -- Health beliefs -- Urban communities -- Behavioural research
• DOI: 10.1016/j.jvacx.2022.100171
• Languages: English
• ISSNs: 2590-1362

Abstract

Abstract: Background: Vaccination against severe acute respiratory syndrome coronavirus-2 (SARS-CoV-2) is the most desired solution to combat COVID-19. We examined the willingness to accept the vaccine and reasons for vaccine hesitancy, and identified some factors associated with the vaccine hesitancy among the socio-economically disadvantaged urban population from Delhi, India. Methods: We conducted a cross-sectional survey of a randomly selected sample of 1539 households from 31 urban clusters. Data on socio-demographics, health beliefs, and willingness to accept the SARS-CoV-2 vaccine were collected through a face-to-face interviewer-administered, pre-tested questionnaire from an adult member. Vaccine acceptance/hesitancy was analysed by various socio-demographic and health belief variables. Multinomial regressions were carried out to identify the factors associated with the vaccine hesitancy. Results: Overall, 64.9% (95% CI: 62.5 to 67.3) of the respondents would accept the vaccine, 17.4% (95% CI: 15.6 to 19.4) were undecided, and 17.7% (95% CI: 15.8 to 19.7) would not accept the vaccine. The reasons for not accepting the vaccine were: belief that they had immunity (12.9%), the corona was a hoax (11.8%), the vaccine was not necessary (7.4%), and did not want to disturb the natural bodily systems by the vaccine (5.6%). The undecided group mainly would like to wait and see (37.7%), decide when the vaccine become available (11.6%), will take if everyone in their community takes (10.4%). Multinomial logistic regression identified older age, low perceived susceptibility of contracting COVID-19, low perceived severity of COVID-19, low self-efficacy to protect against COVID-19, and unawareness and non-use of Arogyasetu App as significant predictors of vaccine hesitancy. Conclusions: Two-thirds of Delhi's low-income groups would accept the vaccine against SARS-CoV-2. Vaccine hesitancy was associated with older age, low perceived susceptibility, low perceived severity, and low self-efficacy to protect themselves from COVID-19. Hence, efforts are needed to address these issues and vaccine concerns to increase the vaccine uptake.