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Quantification of injury burden using multiple data sources: a longitudinal study.

Keith T S Tung¹, Frederick K Ho^1,2, Wilfred H S Wong¹

¹Department of Paediatrics and Adolescent Medicine, Queen Mary Hospital, University of Hong Kong, Room 123, New Clinical Building, Pok Fu Lam, Hong Kong, China.

Scientific Reports

|February 5, 2021

Summary

This study developed Hong Kong-specific disability weights (DWs) using patient data and hospital records to quantify injury burden. Findings highlight the importance of diverse data sources for effective injury prevention strategies.

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Area of Science:

Public Health
Epidemiology
Health Services Research

Background:

Quantifying injury burden is crucial for effective injury prevention and policy development.
Existing disability weights (DWs) may not accurately reflect local contexts.
Hong Kong lacked specific, patient-derived DWs for injury burden assessment.

Purpose of the Study:

To generate Hong Kong-specific disability weights (DWs) for injuries.
To estimate the burden of injury in Hong Kong using patient-reported outcomes and hospital data.
To compare Hong Kong's injury burden with international studies like UK Burden of Injury (UKBOI) and Global Burden of Diseases (GBD).

Main Methods:

Patient recruitment from three major trauma centers in Hong Kong (September 2014 - December 2015).
Health-related quality of life interviews with patients up to three times over a 12-month period.
Estimation of DWs using patient-reported data, combined with mortality and inpatient data (2001-2012).

Main Results:

A total of 22,856 mortality and 817,953 morbidity cases due to injuries were identified.
The injury burden in Hong Kong was calculated as 1,027,641 disability-adjusted life years (DALYs).
Hong Kong's DALYs per 100,000 (1192) were lower than UKBOI (2924) and GBD (3459) estimates.

Conclusions:

The study successfully generated Hong Kong-specific disability weights (DWs) for injuries.
Utilizing multiple data sources, including patient-reported data and hospital records, enhances the accuracy of injury burden estimation.
Findings provide valuable data for informing injury prevention policies and resource allocation in Hong Kong.