This article consists of a citation of a published article describing research funded by the Global Health Research programme under project number 16/137/49, and is provided as as part of the complete record of research outputs for this project. The original publication is available at: https://doi.org/10.3390/ijerph182312701
This study aimed to develop and evaluate a model of hospital-based injury surveillance and describe the epidemiology of injuries in adults. One-year prospective surveillance was conducted in two hospitals in Hetauda, Nepal. Data were collected electronically for patients presenting to emergency departments (EDs) with injuries between April 2019 and March 2020. To evaluate the model’s sustainability, clinical leaders, senior managers, data collectors, and study coordinators were interviewed. The total number of patients with injuries over one year was 10,154, representing 30.7% of all patients visiting the EDs. Of patients with injuries, 7458 (73.4%) were adults aged 18 years and over. Most injuries (6434, 86%) were unintentional, with smaller proportions due to assault (616, 8.2%) and self-harm (408, 5.5%). The median age of adult patients was 33 years (IQR 25–47). Males had twice the rate of ED presentation compared with females (40.4 vs. 20.9/1000). The most common causes were road traffic accidents (32.8%), falls (25.4%), and animal/insect related injuries (20.1%). Most injured patients were discharged after treatment (80%) with 9.1% admitted to hospital, 8.1% transferred to other hospitals, and 2.1% died. In Nepal, hospital-based injury surveillance is feasible, and rich injury data can be obtained by embedding data collectors in EDs.
Funding
This publication was funded by the Global Health Research programme as a part of award number 16/137/49.
This article reports on one component of the research award NIHR Global Health Research Group on Nepal Injury Research, University of the West of England, Bristol. For more information about this research please view the award page [https://fundingawards.nihr.ac.uk/award/16/137/49]
