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Disability weights based on patient-reported data from a multinational injury cohort

Overview of attention for article published in Bulletin of the World Health Organization, August 2016
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Article details
Title
Disability weights based on patient-reported data from a multinational injury cohort
Published in
Bulletin of the World Health Organization, August 2016
DOI 10.2471/blt.16.172155
Pubmed ID
Authors
Abstract

To create patient-based disability weights for individual injury diagnosis codes and nature-of-injury classifications, for use, as an alternative to panel-based weights, in studies on the burden of disease. Self-reported data based on the EQ-5D standardized measure of health status were collected from 29 770 participants in the Injury-VIBES injury cohort study, which covered Australia, the Netherlands, New Zealand, the United Kingdom of Great Britain and Northern Ireland and the United States of America. The data were combined to calculate new disability weights for each common injury classification and for each type of diagnosis covered by the 10th revision of the International statistical classification of diseases and related health problems. Weights were calculated separately for hospital admissions and presentations confined to emergency departments. There were 29 770 injury cases with at least one EQ-5D score. The mean age of the participants providing data was 51 years. Most participants were male and almost a third had road traffic injuries. The new disability weights were higher for admitted cases than for cases confined to emergency departments and higher than the corresponding weights used by the Global Burden of Disease 2013 study. Long-term disability was common in most categories of injuries. Injury is often a chronic disorder and burden of disease estimates should reflect this. Application of the new weights to burden studies would substantially increase estimates of disability-adjusted life-years and provide a more accurate reflection of the impact of injuries on peoples' lives.

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Mendeley demographics

The data shown below were compiled from readership statistics for 67 Mendeley readers of this research output. Click here to see the associated Mendeley record.
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Geographical breakdown

Geographical breakdown
Country Count As %
Unknown 67 100%

Demographic breakdown

Readers by professional status
Readers by professional status Count As %
Researcher 14 21%
Other 8 12%
Student > Master 8 12%
Student > Ph. D. Student 6 9%
Lecturer 3 4%
Other 11 16%
Unknown 17 25%
Readers by discipline
Readers by discipline Count As %
Medicine and Dentistry 17 25%
Nursing and Health Professions 7 10%
Social Sciences 7 10%
Biochemistry, Genetics and Molecular Biology 2 3%
Mathematics 2 3%
Other 7 10%
Unknown 25 37%