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Determinants of default from completion of child immunization among children aged 15-23 months in Kacha Bira district, Kembata Tembaro zone, South Ethiopia: a case-control study. | LitMetric

AI Article Synopsis

  • Child immunization is vital to protect against vaccine-preventable diseases, but many children miss vaccinations due to various factors, including the newly considered fear of COVID-19. This study focused on understanding these factors in South Ethiopia among children aged 15-23 months.
  • Using a community-based case-control design, researchers analyzed data from 255 children, conducting face-to-face interviews with caregivers to identify key factors contributing to immunization defaulting.
  • The analysis revealed four major predictors for not completing vaccinations: lack of antenatal care follow-up, postponing the vaccination schedule, higher mother parity, and poor maternal knowledge about vaccinations, indicating areas for intervention to improve immunization rates.

Article Abstract

Background: Child immunization is crucial to protect children from vaccine-preventable diseases. However, if a child defaults from completing immunization, they are at a greater risk of contracting such diseases. Previous studies have evaluated various factors that contribute to defaulting from immunization, but they did not consider the fear of COVID-19 as a variable. Additionally, there is inconsistency in the factors identified across different areas. This study aimed to examine the determinants of defaulting from child immunization among children aged 15-23 months in Kacha Bira district, Kembata Tembaro zone, South Ethiopia.

Methods: A study was conducted using a community-based unmatched case-control design to identify the determinants of child immunization completion. The study included 255 children aged 15-23 months in the Kacha Bira district from 3 May 2022 to 1 June 2022, using a multi-stage sampling technique. Face-to-face interviews of mothers or immediate caretakers of the child were conducted using a mobile device, and the questionnaire was developed using the Kobo Toolbox. The data collected were analyzed using SPSS version 25. Multivariable logistic regression was used to identify the determinants, and the adjusted odds ratio with 95% CI and a < 0.05 were considered statistical significant.

Results: The multivariable logistic regression analysis identified four independent predictors of immunization defaulting. Antenatal care (ANC) follow-up [AOR = 5.40, 95% CI (2.24-13.52)], postponing vaccination schedule [AOR = 2.28, 95% CI: (1.05-4.93)], parity of the mother [AOR = 3.25, 95% CI: (1.45-7.27)], and knowledge of the mother about vaccination [AOR = 6.77, 95% CI: (2.33-19.64)] were determinants of immunization defaulting.

Conclusion: In this study, lack of ANC follow-up, postponement of the vaccination schedule, mothers with parity of greater than four, and poor knowledge of the mothers about immunization were identified as determinants of immunization defaulting.

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Source
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC11074784PMC
http://dx.doi.org/10.3389/fpubh.2024.1291495DOI Listing

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