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

• Published in: Archives of public health = Archives belges de santé publique 2022-01, Vol.80 (1), p.18-18, Article 18
• Main Authors: Kayembe-Ntumba, Harry-César, Vangola, Felly, Ansobi, Papy, Kapour, Germain, Bokabo, Eric, Mandja, Bien-Aimé, Bompangue, Didier
• Format: Article
• Language: English
• Subjects: Caregivers; Children; Children & youth; Confidence intervals; Cross-sectional studies; DRC; Dropout rate; Emergency management; Families & family life; Health facilities; Households; Human health sciences; Immunization; Interpersonal communication; Mont Ngafula II health district; Predictors; Public health; Public Health, Environmental and Occupational Health; Public health, health care sciences & services; Questionnaires; Rural areas; Sample size; Santé publique, services médicaux & soins de santé; School dropouts; Sciences de la santé humaine; Surveys; Tetanus; Vaccination; Vaccines; Variables; Whooping-cough
• ISSN: 0778-7367; 2049-3258; 2049-3258
• DOI: 10.1186/s13690-021-00782-2

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. 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. 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. 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.