Predictors of Post-Discharge Mortality Among Children Aged 5-14 Years Admitted to Pediatric Wards at Mnh, Jkci, and Moi: A Prospective Observational Cohort Study

Abstract

Abstract Introduction: Globally, millions of children and adolescents die every year from treatable and preventable causes. Sub-Saharan Africa accounted for 55% of deaths of children aged 5–14 years in 2017. Despite this high burden, minimal effort has been directed toward reducing mortality among older children and adolescents in comparison to under-fives. Mortality rates of children post-discharge vary between 1–18% in limited-resource countries and is report to exceed in-hospital mortality. In Tanzania, there is limited data regarding post-discharge mortality among children aged 5–14 years. Methods and analysis: This will be a prospective observational cohort study that will be conducted among children aged 5–14 years admitted to pediatric wards at Muhimbili National Hospital, Jakaya Kikwete Cardiac Institue, and Muhimbili Orthopedic Institue in Dar-es-Salaam, Tanzania. Data will be collected using a structured questionnaire and will include socio-demographic characteristics, clinical factors, and patients’ outcomes. Post-discharge follow-up will be done at month 1, 2, and 3 after discharge via phone call. Data will be analyzed using SPSS version 23. The association of demographic, social economic, and clinical factors with the outcome of all causes, 3 months post-discharge mortality will be determined by cox regression, and survival rates will be displayed through Kaplan-Meier curves. Discussion: This study will determine post-discharge mortality among children aged 5–14 years and it’s predictors in Tanzania. This information is expected to provide baseline data that will be useful for raising awareness of clinicians on how to prioritize and plan a proper follow-up of children following hospital discharge. These data may also be used to guide policy development to address and reduce the high burden of older children and adolescent mortality and may be used for future studies including those aiming to develop prediction models for post-discharge mortality among older children and adolescents.