3 research outputs found

    Mortalité néonatale au centre hospitalier universitaire de Tengandogo, Ouagadougou, Burkina Faso: une étude de cohorte retrospective: Neonatal mortality at Tengandogo University Hospital, Ouagadougou, Burkina Faso: a retrospective cohort study

    Get PDF
    Introduction: Selon l’organisation mondiale de la santé, les décès néonataux représentent 41% de la mortalité infanto-juvénile. L’Afrique subsaharienne a le taux de mortalité néonatale le plus élevé à 28‰. L’objectif de l’étude était de mesurer le taux de mortalité néonatale et d’identifier les facteurs associés au décès au Centre hospitalier universitaire de Tengandogo, Ouagadougou, Burkina Faso. Méthodes: Les nouveaux nés de 0 à 28 jours, hospitalisés entre le 1er janvier 2013 et le 31 décembre 2017 ont été inclus dans cette étude de cohorte rétrospective au service de néonatologie et de pédiatrie. Les informations ont été extraites à partir des dossiers cliniques. La survie a été estimée par la méthode de Kaplan Meier. Un modèle de Cox a permis d’identifier les facteurs associés. Résultats: Au total 641 nouveau-nés ont été inclus. Les enfants admis dès le premier jour de leur naissance représentaient 80%. La durée médiane de séjour était de 6 jours avec un intervalle interquartile de 3-12 jours. Les principaux diagnostics étaient la prématurité (36,05%), les infections néonatales (33,23%) et l’asphyxie (17,86%). Le taux de mortalité néonatale était de 22,25 pour 1000 personnes jours. Après ajustement, le poids de naissance inferieur 1500gramme (HRa = 4,13 ; IC 95% (2,58-6,67)) et la notion de réanimation à la naissance (HRa2,62 ; IC 95% [1,64-4,39)) étaient les facteurs de risque. Conclusion: Le taux de mortalité néonatale reste élevé. Le suivi prénatal, la prévention des infections, le renforcement des moyens de réanimation et la compétence des acteurs sont essentiels pour réduire ce taux. Introduction: According to the World Health Organization, neonatal deaths account for 41% of infant and child mortality. Sub-Saharan Africa has the highest neonatal mortality rate at 28‰. The objective of the study was to measure the neonatal mortality rate and identify factors associated with death at the Tengandogo University Hospital, Ouagadougou, Burkina Faso. Method: New-borns aged 0 to 28 days, hospitalised between 1 January 2013 and 31 December 2017 were included in this retrospective cohort study in the neonatology and paediatrics department. Information was extracted from clinical records. Survival was estimated by the Kaplan Meier method. A Cox model was used to identify associated factors. Results: A total of 641 new-borns were included. Children admitted on the first day of birth accounted for 80%. The median length of stay was 6 days with an interquartile range of 3-12 days. The main diagnoses were prematurity (36.05%), neonatal infections (33.23%) and asphyxia (17.86%). The neonatal mortality rate was 22.25 per 1000 person days. After adjustment, birth weight below 1500 grams (HRa = 4.13; 95% CI (2.58-6.67)) and the notion of resuscitation at birth (HRa2.62; 95% CI (1.64-4.39)) were the risk factors. Conclusion: The neonatal mortality rate remains high. Prenatal follow-up, infection prevention, strengthening of resuscitation resources and competence of actors are essential to reduce this rate

    Effects of the free healthcare policy on health services' usage by children under 5 years in Burkina Faso: a controlled interrupted time-series analysis.

    No full text
    This study aimed to analyse, at national level, the effects of the free healthcare policy for children on the use of health services by children under five in Burkina Faso. We hypothesised that this policy has led to an immediate and sustained increase in the use of health services for these children in the country.info:eu-repo/semantics/publishe

    Predictors of severe hypoxemia among COVID-19 patients in Burkina Faso (West Africa): Findings from hospital based cross-sectional study

    No full text
    Introduction: COVID-19 is one of the world’s major health crises. The objective of this study was to determine the predictive factors of severe hypoxemia in patients hospitalized in COVID-19 health facilities in Burkina Faso. Patients and method: This study was a hospital-based cross-sectional study. The data collected relate to the period of the first wave of the epidemic (March 9 to June 30, 2020). All patients hospitalized for COVID-19 in the requisitioned health facilities of Ouagadougou were included in this study. Predictors of severe hypoxemia were identified using a multivariate logistic regression model. Results: During the study period, 442 patients were included, representing 45.7% of the total number of positive patients in the entire country. The most common co-morbidities were diabetes (55; 12.4%) and arterial hypertension (97; 21.9%). Severe hypoxemia (SpO2 < 90%) was observed in 64 patients (14.5%). Age over 65 years (OR = 8.24; 95% CI: 2.83–24.01) and diabetes (OR = 2.43; 95% CI: 1.17–5.06) were the predictors for occurrence of severe hypoxemia in multivariate analysis. Conclusion: The predictive factors of COVID-19 are similar in African and Caucasian populations. The surveillance of COVID-19 in risk groups should be strengthened to reduce their morbidity and mortality
    corecore