Evidence map›Paper›PMID 33952536›Full record

ArticleBMJ open2021

Developing a systematic approach for Population-based Injury Severity Assessment (PISA): a million-person survey in rural Bangladesh.

Olakunle Alonge, Priyanka Agrawal, Khaula Khatlani, Saidur Mashreky, Dewan Emdadul Md Hoque, Adnan A Hyder

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Article in BMJ open, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

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1citing papers in PubMed
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1 · What the graph read from it

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3 · Its place in the literature

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1 citing paper in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

6 authors.

Olakunle AlongeDepartment of International Health, Johns Hopkins University Bloomberg School of Public Health, Baltimore, Maryland, USA oalonge1@jhu.edu.
Priyanka AgrawalDepartment of International Health, Johns Hopkins University Bloomberg School of Public Health, Baltimore, Maryland, USA.ORCID 0000-0003-1314-7143
Khaula KhatlaniDepartment of Occupational and Environmental Medicine, Yale School of Medicine, New Haven, Connecticut, USA.
Saidur MashrekyCentre for Injury Prevention and Research Bangladesh, Dhaka, Bangladesh.ORCID 0000-0001-7892-798X
Dewan Emdadul Md HoqueMaternal and Child Health Division, International Centre for Diarrhoeal Disease Research Bangladesh, Dhaka, Bangladesh.
Adnan A HyderCenter on Commercial Determinants of Health, George Washington University Milken Institute of Public Health, Washington, District of Columbia, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionThere is currently no defined method for assessing injury severity using population-based data, which limits our understanding of the burden of non-fatal injuries and community-based approaches for primary prevention of injuries. This study describes a systematic approach, Population-based Injury Severity Assessment (PISA) index, for assessing injury severity at the population level.

methodsBased on the WHO International Classification of Functionality conceptual model on health and disability, eight indicators for assessing injury severity were defined. The eight indicators assessed anatomical, physiological, postinjury immobility, hospitalisation, surgical treatment, disability, duration of assisted living and days lost from work or school. Using a large population-based survey conducted in 2013 including 1.16 million individuals from seven subdistricts of rural Bangladesh, information on the eight indicators were derived for all non-fatal injury events, and these were summarised into a single injury severity index using a principal component analysis (PCA). Principal component loadings derived from the PCA were used to predict the severity (low, moderate, high) of non-fatal injuries, and were applied to the fatal injury data to assess the criterion validity of the index. The determinants of non-fatal injury severity were determined using ordered logistic regression.

resultsThere were 119 703 non-fatal injuries and 14% were classified as high severity based on the PISA index. The PISA index accurately predicted 82% of all fatal injuries as highly severe. Non-fatal injuries of high severity were frequent with unintentional poisoning (57%) and violence (35%). Injuries of high severity were commoner among males (OR 1.16, 95% CI 1.12 to 1.21), adults 65 years and older (OR 1.30, 95% CI 1.23 to 1.36), lower socioeconomic status and intentional injuries. Education was associated with reduced odds of high severe injuries.

conclusionThe PISA index provides a valid and systematic approach for assessing injury severity at the population level, and is relevant for improving the characterisation of the burden and epidemiology of injuries in non-health facility-based settings. Additional testing of the PISA index is needed to further establish its validity and reliability.

Indexed as

Rural PopulationWounds and InjuriesAdultBangladeshHumansMaleReproducibility of ResultsSurveys and QuestionnairesViolenceepidemiologypublic healthwound management

Identifiers

PMID33952536
PMCPMC8103366

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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.