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Vaccination dropout rates among children aged 12-23 months in Democratic Republic of the Congo: a cross-sectional study

BACKGROUND: Overall, 1.8 million children fail to receive the 3-dose series for diphtheria, tetanus and pertussis each year in the Democratic Republic of the Congo (DRC). Currently, an emergency plan targeting 9 provinces including Kinshasa, the capital of the DRC, is launched to reinforce routine i...

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Autores principales: Kayembe-Ntumba, Harry-César, Vangola, Felly, Ansobi, Papy, Kapour, Germain, Bokabo, Eric, Mandja, Bien-Aimé, Bompangue, Didier
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8728983/
https://www.ncbi.nlm.nih.gov/pubmed/34986887
http://dx.doi.org/10.1186/s13690-021-00782-2
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author Kayembe-Ntumba, Harry-César
Vangola, Felly
Ansobi, Papy
Kapour, Germain
Bokabo, Eric
Mandja, Bien-Aimé
Bompangue, Didier
author_facet Kayembe-Ntumba, Harry-César
Vangola, Felly
Ansobi, Papy
Kapour, Germain
Bokabo, Eric
Mandja, Bien-Aimé
Bompangue, Didier
author_sort Kayembe-Ntumba, Harry-César
collection PubMed
description BACKGROUND: Overall, 1.8 million children fail to receive the 3-dose series for diphtheria, tetanus and pertussis each year in the Democratic Republic of the Congo (DRC). Currently, an emergency plan targeting 9 provinces including Kinshasa, the capital of the DRC, is launched to reinforce routine immunization. Mont Ngafula II was the only health district that experienced high vaccination dropout rates for nearly five consecutive years. This study aimed to identify factors predicting high immunization dropout rates among children aged 12-23 months in the Mont Ngafula II health district. METHODS: A cross-sectional household survey was conducted among 418 children in June-July 2019 using a two-stage sampling design. Socio-demographic and perception data were collected through a structured interviewer-administered questionnaire. The distribution of 2017-2018 immunization coverage and dropout rate was extracted from the local health district authority and mapped. Logistic random effects regression models were used to identify predictors of high vaccination dropout rates. RESULTS: Of the 14 health areas in the Mont Ngafula II health district, four reported high vaccine coverage, only one recorded low vaccine coverage, and three reported both low vaccine coverage and high dropout rate. In the final multivariate logistic random effects regression model, the predictors of immunization dropout among children aged 12-23 months were: living in rural areas, unavailability of seats, non-compliance with the order of arrival during vaccination in health facilities, and lack of a reminder system on days before the scheduled vaccination. CONCLUSIONS: Our results advocate for prioritizing targeted interventions and programs to strengthen interpersonal communication between immunization service providers and users during vaccination in health facilities and to implement an SMS reminder system on days before the scheduled vaccination.
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spelling pubmed-87289832022-01-06 Vaccination dropout rates among children aged 12-23 months in Democratic Republic of the Congo: a cross-sectional study Kayembe-Ntumba, Harry-César Vangola, Felly Ansobi, Papy Kapour, Germain Bokabo, Eric Mandja, Bien-Aimé Bompangue, Didier Arch Public Health Research BACKGROUND: Overall, 1.8 million children fail to receive the 3-dose series for diphtheria, tetanus and pertussis each year in the Democratic Republic of the Congo (DRC). Currently, an emergency plan targeting 9 provinces including Kinshasa, the capital of the DRC, is launched to reinforce routine immunization. Mont Ngafula II was the only health district that experienced high vaccination dropout rates for nearly five consecutive years. This study aimed to identify factors predicting high immunization dropout rates among children aged 12-23 months in the Mont Ngafula II health district. METHODS: A cross-sectional household survey was conducted among 418 children in June-July 2019 using a two-stage sampling design. Socio-demographic and perception data were collected through a structured interviewer-administered questionnaire. The distribution of 2017-2018 immunization coverage and dropout rate was extracted from the local health district authority and mapped. Logistic random effects regression models were used to identify predictors of high vaccination dropout rates. RESULTS: Of the 14 health areas in the Mont Ngafula II health district, four reported high vaccine coverage, only one recorded low vaccine coverage, and three reported both low vaccine coverage and high dropout rate. In the final multivariate logistic random effects regression model, the predictors of immunization dropout among children aged 12-23 months were: living in rural areas, unavailability of seats, non-compliance with the order of arrival during vaccination in health facilities, and lack of a reminder system on days before the scheduled vaccination. CONCLUSIONS: Our results advocate for prioritizing targeted interventions and programs to strengthen interpersonal communication between immunization service providers and users during vaccination in health facilities and to implement an SMS reminder system on days before the scheduled vaccination. BioMed Central 2022-01-05 /pmc/articles/PMC8728983/ /pubmed/34986887 http://dx.doi.org/10.1186/s13690-021-00782-2 Text en © The Author(s) 2022 https://creativecommons.org/licenses/by/4.0/Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/ (https://creativecommons.org/publicdomain/zero/1.0/) ) applies to the data made available in this article, unless otherwise stated in a credit line to the data.
spellingShingle Research
Kayembe-Ntumba, Harry-César
Vangola, Felly
Ansobi, Papy
Kapour, Germain
Bokabo, Eric
Mandja, Bien-Aimé
Bompangue, Didier
Vaccination dropout rates among children aged 12-23 months in Democratic Republic of the Congo: a cross-sectional study
title Vaccination dropout rates among children aged 12-23 months in Democratic Republic of the Congo: a cross-sectional study
title_full Vaccination dropout rates among children aged 12-23 months in Democratic Republic of the Congo: a cross-sectional study
title_fullStr Vaccination dropout rates among children aged 12-23 months in Democratic Republic of the Congo: a cross-sectional study
title_full_unstemmed Vaccination dropout rates among children aged 12-23 months in Democratic Republic of the Congo: a cross-sectional study
title_short Vaccination dropout rates among children aged 12-23 months in Democratic Republic of the Congo: a cross-sectional study
title_sort vaccination dropout rates among children aged 12-23 months in democratic republic of the congo: a cross-sectional study
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8728983/
https://www.ncbi.nlm.nih.gov/pubmed/34986887
http://dx.doi.org/10.1186/s13690-021-00782-2
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