Gestion Opérationnelle et Couverture Vaccinale Contre la Rougeole de Décembre 2023 à Tshamilemba, Lubumbashi (RDC) : Une Étude de Cas Évaluative Mixte.

Authors

  • Ngoyi Mukonkole Jean Institut Supérieur des Techniques Médicales de Lubumbashi & University of Lubumbashi
  • Chuy Kalombola Didier Institut Supérieur des Techniques Médicales de Lubumbashi, Centre des Connaissances en Santé de la RD Congo (CCSC-Asbl), École de santé publique de l'Université de Lubumbashi (ESP-UNILU) & Institut Supérieur des Techniques Médicales Saint Joseph de Likasi (ISTM SJL)
  • Kayembe Kitenge Tony Institut Supérieur des Techniques Médicales de Lubumbashi & University of Lubumbashi
  • Bwalya Peti Richard Section Techniques Biomédicales Spécialisées et Gestion des Organisation de Santé, Institut Supérieur des Techniques Médicales (I.S.T.M) de Kolwezi, Lualaba, RDC.
  • Katumbayi Katanda Tresor Institut supérieur des Techniques Médicales de Musumba, RD Congo
  • Kikangala Ebondo Didi Institut supérieur des Techniques Médicales de Kamina, RD Congo
  • Nkonde Kasanda Jean Marie Equipe de recherche de l’Institut supérieur des Techniques médicales M’SIRI 1er de Bunkeya & Faculté de Médecine, Université de Likasi, RD Congo.
  • Luboya Numbi Oscar Institut Supérieur des Techniques Médicales de Lubumbashi & University of Lubumbashi

DOI:

https://doi.org/10.47941/ijhmnp.4079

Keywords:

Vaccination, Rougeole, Gestion de campagne, Étude mixte, République démocratique du Congo.

Abstract

Objectif de l’étude : évaluer la gestion opérationnelle de la campagne de vaccination contre la rougeole menée en décembre 2023 dans la Zone de santé de Tshamilemba et identifier les leviers susceptibles d’améliorer l’équité et la qualité de la couverture vaccinale.

Méthodes : Une étude de cas évaluative à devis mixte a été menée de janvier à mai 2025. Les données quantitatives issues des registres, rapports et fiches techniques de la campagne ont été l’objet d’analyses descriptives et inférentielles sous SPSS 27.0 (tests du χ² et de Kruskal-Wallis, corrélation de Spearman et régression logistique binaire). La composante qualitative reposait sur des entretiens semi-structurés avec trois acteurs clés du BCZS, analysés thématiquement avec NVivo 14. L’interprétation s’appuyait sur les cadres ACEZ, de Tanahashi et des six composantes du système de santé de l'OMS.

Résultats : La couverture globale déclarée était de 94,9%, avec des écarts importants entre aires de santé (52,6% à 112,5%). Des déficits ont été relevés pour le personnel (41,3% du besoin planifié), les fiches de pointage (22,7%) et les mégaphones (50%), ainsi qu’une absence de piles, de véhicules et de guides d'âge. Dans le modèle multivarié rapporté, l’insuffisance de personnel (OR ajusté = 3,82 ; IC95% : 1,45-10,07), l'absence de fiches de pointage (OR ajusté = 4,21 ; IC95% : 1,68-10,54) et une distance supérieure à 2 km (OR ajusté = 2,96 ; IC95% : 1,12-7,82) étaient associés à une couverture inférieure à 90%. Les entretiens ont fait ressortir une planification descendante, des difficultés de communication communautaire et des retards de financement.

Contribution unique à la théorie, aux politiques et à la pratique : L’étude décrit des contraintes opérationnelles susceptibles d’expliquer les disparités de couverture lors d’une campagne en milieu urbain congolais. Elle souligne l’intérêt d’une microplanification fondée sur des données démographiques actualisées, d’une allocation adéquate des ressources et d’un engagement communautaire renforcé.

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Author Biographies

Ngoyi Mukonkole Jean, Institut Supérieur des Techniques Médicales de Lubumbashi & University of Lubumbashi

School of Public Health

Departement of Pediatrics, Faculty of Medecine

Kayembe Kitenge Tony, Institut Supérieur des Techniques Médicales de Lubumbashi & University of Lubumbashi

School of Public Health

Luboya Numbi Oscar, Institut Supérieur des Techniques Médicales de Lubumbashi & University of Lubumbashi

School of Public Health

Departement of Pediatrics, Faculty of Medecine

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Published

2026-11-01

How to Cite

Ngoyi , M. J., Chuy , K. D., Kayembe , K. T., Bwalya , P. R., Katumbayi , K. T., Kikangala , E. D., … Luboya , N. O. (2026). Gestion Opérationnelle et Couverture Vaccinale Contre la Rougeole de Décembre 2023 à Tshamilemba, Lubumbashi (RDC) : Une Étude de Cas Évaluative Mixte. International Journal of Health, Medicine and Nursing Practice, 9(7), 29–48. https://doi.org/10.47941/ijhmnp.4079

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