INJURY EXPERIENCE IN TANZANIA - NEED FOR INTERVENTION.

East Afr Med J

Muhimbili Orthopaedic Institute (MOI), Injury Control Centre Tanzania (ICCT), Muhimbili University of Health and Allied Sciences (MUHAS), Dar-es-Salaam, Tanzania.

Published: May 2013

Objective: To determine distribution of injuries and factors associated with mortality in six hospitals of Tanzania mainland.

Design: A Cross-Sectional hospital based study.

Setting: Data were collected from casualty departments of Muhimbili Orthopaedic Institute, Morogoro, Mtwara, Kigoma, Musoma regional hospitals and Korogwe district hospital.

Subjects: Patients who sustained injuries and attended in six involved hospitals between November 2011 and December 2012.

Results: Of the 9316 injury patients seen, 71.7% were males. Majority (55%) were between 18 - 45 years age group. Traffic crashes were the leading cause of injuries and accounted for 47.5% of all injuries. Fractures accounted for 49.2%, and injuries were severe in 1.2% as determinedby the Kampala trauma score II (KTS II). Majorities 66.7% were admitted and 2.4% died at the casualty. Factors associated with mortality were; being unemployed (P = 0.000), using ambulances to the hospital (P = 0.000), receiving medical attention within 2 to 10 hours after injury (P = 0.001), road traffic crashes (P = 0.000), 18-45 years age group (P = 0.003), low KTS II score (P = 0.000) and sustaining head injury (P = 0.000).

Conclusion: Injuries in Tanzania are an important public health problem, predominantly in adult males, mostly due to traffic crashes. It is therefore important to reinforce preventive measures and pre-hospital emergency service is urgently needed.

Download full-text PDF

Source

Publication Analysis

Top Keywords

traffic crashes
12
factors associated
8
associated mortality
8
years age
8
age group
8
injuries
6
injury
4
injury experience
4
experience tanzania
4
tanzania intervention
4

Similar Publications

Background: In Nigeria, trauma care faces challenges due to high injury and death rates from road traffic accidents and violence. Improvements are underway, but gaps in service availability, training, and coordination persist, necessitating evidence-based interventions.

Purpose: To evaluate trauma care practices in Nigeria, focusing on practitioners' perceptions of training, resources, and care quality to inform policy and practice enhancements.

View Article and Find Full Text PDF

Background: Motor vehicle crashes are the second leading cause of injury death among adults aged 65 and older in the U.S., second only to falls.

View Article and Find Full Text PDF

Accurate prediction and causal analysis of road crashes are crucial for improving road safety. One critical indicator of road crash severity is whether the involved vehicles require towing. Despite its importance, limited research has utilized this factor for predicting vehicle towing probability and analyzing its causal factors.

View Article and Find Full Text PDF

Objective: This study aims to investigate the causes of 2-vehicle collisions involving an autonomous vehicle (AV) and a conventional vehicle (CV). Prior research has primarily focused on the causes of crashes from the perspective of AVs, often neglecting the interactions with CVs.

Method: To address this limitation, the study proposes a classification framework for crash causation patterns in 2-vehicle collisions involving an AV and a CV, considering their interactions.

View Article and Find Full Text PDF

Facial bone fractures are a common occurrence in trauma cases, particularly in India where road traffic accidents contribute significantly. Over the past few years, artificial intelligence (AI) has become a potent instrument to help medical professionals diagnose and treat facial fractures. This study aims to perform a bibliometric analysis, that is, a quantitative and qualitative analysis, of publications focusing on the role of AI in detecting facial bone fractures.

View Article and Find Full Text PDF

Want AI Summaries of new PubMed Abstracts delivered to your In-box?

Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!