Evidence map›Paper›PMID 34886427›Full record

ArticleInternational journal of environmental research and public health2021

The Epidemiology of Injuries in Adults in Nepal: Findings from a Hospital-Based Injury Surveillance Study.

Santosh Bhatta, Dan Magnus, Julie Mytton, Elisha Joshi, Sumiksha Bhatta, Dhruba Adhikari, Sunil Raja Manandhar, Sunil Kumar Joshi

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Article in International journal of environmental research and public health, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

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0cells of the map it votes in
5citing papers in PubMed
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1 · What the graph read from it

What it found

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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

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3 · Its place in the literature

Who cites it

5 citing papers in PubMed.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

8 authors.

Santosh BhattaSchool of Health and Social Wellbeing, Faculty of Health and Applied Sciences, University of the West of England, Bristol BS16 1QY, UK.ORCID 0000-0001-6393-2495
Dan MagnusCentre for Academic Child Health, University of Bristol, Bristol BS8 1NU, UK.
Julie MyttonSchool of Health and Social Wellbeing, Faculty of Health and Applied Sciences, University of the West of England, Bristol BS16 1QY, UK.
Elisha JoshiNepal Injury Research Centre, Department of Community Medicine, Kathmandu Medical College, Kathmandu P.O. Box 21266, Nepal.
Sumiksha BhattaNepal Injury Research Centre, Department of Community Medicine, Kathmandu Medical College, Kathmandu P.O. Box 21266, Nepal.
Dhruba AdhikariMother and Infant Research Activities (MIRA), Kathmandu P.O. Box 921, Nepal.
Sunil Raja ManandharMother and Infant Research Activities (MIRA), Kathmandu P.O. Box 921, Nepal.
Sunil Kumar JoshiNepal Injury Research Centre, Department of Community Medicine, Kathmandu Medical College, Kathmandu P.O. Box 21266, Nepal.ORCID 0000-0002-2704-5060

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

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.

Indexed as

Emergency Service, HospitalWounds and InjuriesAccidental FallsAdolescentAdultAnimalsFemaleHospitalsHumansMaleMiddle AgedNepalProspective Studiesdeveloping countrieshospitalinjury surveillanceprogram evaluation

Identifiers

PMID34886427
PMCPMC8656929

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.