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Predictive Factors of Community Engagement in COVID-19 Vaccination in East Java, Indonesia
Open Access Macedonian Journal of Medical Sciences ; 10:555-559, 2022.
Article in English | EMBASE | ID: covidwho-2066686
ABSTRACT

BACKGROUND:

SARS-CoV-2 was declared a global pandemic by the World Health Organization in March 2020. Vaccination is an important step to prevent COVID-19.

AIM:

This study aimed to analyze the predictive factors of community engagement in COVID-19 vaccination in East Java, Indonesia.

METHODS:

A cross-sectional study using purposive sampling was conducted on people aged 12–>60 years (n = 1,024) in Lamongan Regency, East Java Province, Indonesia, in August–September 2021. The data were collected using a self-administered questionnaire. Logistic regression analysis was used to estimate the relationship between community engagement in COVID-19 vaccination and other predictors.

RESULTS:

We included 1024 people aged 12–65 years, with a mean age (±SD) of 29 (12.7). Around 94.0% of the participants reported that they had been vaccinated twice. The role of supportive health cadres could increase community participation by 0.496 times in COVID-19 vaccination compared to the less supportive health cadres (OR = 0.496;95.0% CI 0.292–0.845;p = 0.010). In addition, the role of supportive community leaders could increase community participation by 1.959 times in COVID-19 vaccination compared to the less supportive community leaders (OR = 1.959;95.0% CI 1.080–3.551;p = 0.027).

CONCLUSIONS:

The role of health cadres and community leaders can increase community participation in COVID-19 vaccination. The partnership between community health center and community engagement in the COVID-19 vaccination program needs to be continued.
Keywords

Full text: Available Collection: Databases of international organizations Database: EMBASE Type of study: Prognostic study Topics: Vaccines Language: English Journal: Open Access Macedonian Journal of Medical Sciences Year: 2022 Document Type: Article

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Full text: Available Collection: Databases of international organizations Database: EMBASE Type of study: Prognostic study Topics: Vaccines Language: English Journal: Open Access Macedonian Journal of Medical Sciences Year: 2022 Document Type: Article