TY - JOUR
PY - 2015//
TI - Vital statistics: estimating injury mortality in Kigali, Rwanda
JO - World journal of surgery
A1 - Kim, Woon Cho
A1 - Byiringiro, Jean Claude
A1 - Ntakiyiruta, Georges
A1 - Kyamanywa, Patrick
A1 - Irakiza, Jean Jacques
A1 - Mvukiyehe, Jean Paul
A1 - Mutabazi, Zeta
A1 - Vizir, Jean Paul
A1 - de la Croix Allen Ingabire, Jean
A1 - Nshuti, Steven
A1 - Riviello, Robert
A1 - Rogers, Selwyn O.
A1 - Jayaraman, Sudha P.
SP - 6
EP - 13
VL - 40
IS - 1
N2 - BACKGROUND: Globally, injury deaths largely occur in low- and middle-income countries. No estimates of injury-associated mortality exist in Rwanda. This study aimed to describe the patterns of injury-related deaths in Kigali, Rwanda using existing data sources.
METHODS: We created a database of all deaths reported by the main institutions providing emergency care in Kigali-four major hospitals, two divisions of the Rwanda National Police, and the National Emergency Medical Service-during 12 months (Jan-Dec 2012) and analyzed it for demographics, diagnoses, mechanism and type of injury, causes of death, and all-cause and cause-specific mortality rates.
RESULTS: There were 2682 deaths, 57 % in men, 67 % in adults >18 year, and 16 % in children <5 year. All-cause mortality rate was 236/100,000; 35 % (927) were due to probable surgical causes. Injury-related deaths occurred in 22 % (593/2682). The most common injury mechanism was road traffic crash (cause-specific mortality rate of 20/100,000). Nearly half of all injury deaths occurred in the prehospital setting (47 %, n = 276) and 49 % of injury deaths at the university hospital occurred within 24 h of arrival. Being injured increased the odds of dying in the prehospital setting by 2.7 times (p < 0.0001).
CONCLUSIONS: Injuries account for 22 % of deaths in Kigali with road traffic crashes being the most common cause. Injury deaths occurred largely in the prehospital setting and within the first 24 h of hospital arrival suggesting the need for investment in emergency infrastructure. Accurate documentation of the cause of death would help policy-makers make data-driven resource allocation decisions.
Language: en
LA - en SN - 0364-2313 UR - http://dx.doi.org/10.1007/s00268-015-3258-3 ID - ref1 ER -