Traumatic brain injury in Uganda: exploring the use of a hospital based registry for measuring burden and outcomes.

OBJECTIVE: Lack of data on traumatic brain injuries (TBI) hinders the appreciation of the true magnitude of the TBI burden. This paper describes a scientific approach for hospital based systematic data collection in a low-income country. The registry is based on the evaluation framework for injury surveillance systems which comprises a four-step approach: (1) identifying characteristics that assess a surveillance system, (2) review of the identified variables based on adopted specific, measurable, assignable, realistic, and time-related criteria, (3) assessment of the proposed variables and system characteristics by an expert panel, and (4) development and application of a rating system. RESULTS: The electronic hospital-based TBI registry is designed through a collaborative approach to capture comprehensive, yet context specific, information on each TBI case, from the time of injury until death or discharge from the hospital. It includes patients' demographics, pre-hospital and hospital assessment and care, TBI causes, injury severity, and patient outcomes. The registry in Uganda will open the opportunity to replicate the process in other similar context and contribute to a better understanding of TBI in these settings, and feed into the global agenda of reducing deaths and disabilities from TBI in low-and middle-income countries.

Distribution and characteristics of severe traumatic brain injury at Mulago National Referral Hospital in Uganda.

OBJECTIVE: Road traffic accidents are a leading cause of injury in low- and middle-income countries, where mortality rates are disproportionately higher. Patients with severe traumatic brain injury (TBI) tend to have very poor outcomes. To reduce the burden from severe TBI, we describe its distribution at Mulago National Referral Hospital (Kampala, Uganda) and identify the associations between outcomes and patient characteristics, offering insights into prevention and future research efforts to improve clinical care. METHODS: This is a single-institution, retrospective chart review including patients of all ages with a Glasgow Coma Scale (GCS) score of 8 or less (measured upon admission). A database was compiled to maximize all available clinical variables. Descriptive statistics and univariable and multivariable regression models were fitted to identify significant associations with outcome (died or discharged). RESULTS: One hundred twenty patients were identified between July 1, 2008, and June 30, 2009. The cumulative incidence of admissions is 89 per 100,000. Thirty-one patients died in the hospital, yielding a 25.8% mortality rate. Motorcycle road traffic accident was the leading mechanism of injury, and males ages 15-29 years comprised the predominant demographic (42.5% of patients). Initial GCS, change in GCS score during hospital stay, and the presence of hematoma were strongest predictors of outcome. CONCLUSIONS: Severe TBI was a common condition for injury-related hospital admissions at Mulago Hospital. The capacity for neurosurgery may have explained the relatively lower mortality rate than previously reported from Sub-Saharan Africa. Further investigations are needed. Targeted prevention programs focused on motorcycle users and helmet law enforcement should decrease the incidence of severe TBI.