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Quantification of injury burden using multiple data sources: a longitudinal study
Quantification of injury burden is vital for injury prevention, as it provides a guide for setting policies and priorities. This study generated a set of Hong Kong specific disability weights (DWs) derived from patient experiences and hospital records. Patients were recruited from the Accident and E...
Autores principales: | , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
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Nature Publishing Group UK
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7862366/ https://www.ncbi.nlm.nih.gov/pubmed/33542517 http://dx.doi.org/10.1038/s41598-021-82799-9 |
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author | Tung, Keith T. S. Ho, Frederick K. Wong, Wilfred H. S. Wong, Rosa S. Tsui, Matthew S. H. Ho, Paul Kam, Chak Wah Chan, Esther W. Y. Leung, Gilberto K. K. Chan, Ko Ling Chow, Chun Bong Ip, Patrick |
author_facet | Tung, Keith T. S. Ho, Frederick K. Wong, Wilfred H. S. Wong, Rosa S. Tsui, Matthew S. H. Ho, Paul Kam, Chak Wah Chan, Esther W. Y. Leung, Gilberto K. K. Chan, Ko Ling Chow, Chun Bong Ip, Patrick |
author_sort | Tung, Keith T. S. |
collection | PubMed |
description | Quantification of injury burden is vital for injury prevention, as it provides a guide for setting policies and priorities. This study generated a set of Hong Kong specific disability weights (DWs) derived from patient experiences and hospital records. Patients were recruited from the Accident and Emergency Department (AED) of three major trauma centers in Hong Kong between September 2014 and December 2015 and subsequently interviewed with a focus on health-related quality of life at most three times over a 12-month period. These patient-reported data were then used for estimation of DWs. The burden of injury was determined using the mortality and inpatient data from 2001 to 2012 and then compared with those reported in the UK Burden of Injury (UKBOI) and global burden of diseases (GBD) studies. There were 22,856 mortality cases and 817,953 morbidity cases caused by injuries, in total contributing to 1,027,641 disability-adjusted life years (DALYs) in the 12-year study timeframe. Estimates for DALYs per 100,000 in Hong Kong amounted to 1192, compared with 2924 in UKBOI and 3459 in GBD. Our findings support the use of multiple data sources including patient-reported data and hospital records for estimation of injury burden. |
format | Online Article Text |
id | pubmed-7862366 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-78623662021-02-05 Quantification of injury burden using multiple data sources: a longitudinal study Tung, Keith T. S. Ho, Frederick K. Wong, Wilfred H. S. Wong, Rosa S. Tsui, Matthew S. H. Ho, Paul Kam, Chak Wah Chan, Esther W. Y. Leung, Gilberto K. K. Chan, Ko Ling Chow, Chun Bong Ip, Patrick Sci Rep Article Quantification of injury burden is vital for injury prevention, as it provides a guide for setting policies and priorities. This study generated a set of Hong Kong specific disability weights (DWs) derived from patient experiences and hospital records. Patients were recruited from the Accident and Emergency Department (AED) of three major trauma centers in Hong Kong between September 2014 and December 2015 and subsequently interviewed with a focus on health-related quality of life at most three times over a 12-month period. These patient-reported data were then used for estimation of DWs. The burden of injury was determined using the mortality and inpatient data from 2001 to 2012 and then compared with those reported in the UK Burden of Injury (UKBOI) and global burden of diseases (GBD) studies. There were 22,856 mortality cases and 817,953 morbidity cases caused by injuries, in total contributing to 1,027,641 disability-adjusted life years (DALYs) in the 12-year study timeframe. Estimates for DALYs per 100,000 in Hong Kong amounted to 1192, compared with 2924 in UKBOI and 3459 in GBD. Our findings support the use of multiple data sources including patient-reported data and hospital records for estimation of injury burden. Nature Publishing Group UK 2021-02-04 /pmc/articles/PMC7862366/ /pubmed/33542517 http://dx.doi.org/10.1038/s41598-021-82799-9 Text en © The Author(s) 2021 Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/. |
spellingShingle | Article Tung, Keith T. S. Ho, Frederick K. Wong, Wilfred H. S. Wong, Rosa S. Tsui, Matthew S. H. Ho, Paul Kam, Chak Wah Chan, Esther W. Y. Leung, Gilberto K. K. Chan, Ko Ling Chow, Chun Bong Ip, Patrick Quantification of injury burden using multiple data sources: a longitudinal study |
title | Quantification of injury burden using multiple data sources: a longitudinal study |
title_full | Quantification of injury burden using multiple data sources: a longitudinal study |
title_fullStr | Quantification of injury burden using multiple data sources: a longitudinal study |
title_full_unstemmed | Quantification of injury burden using multiple data sources: a longitudinal study |
title_short | Quantification of injury burden using multiple data sources: a longitudinal study |
title_sort | quantification of injury burden using multiple data sources: a longitudinal study |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7862366/ https://www.ncbi.nlm.nih.gov/pubmed/33542517 http://dx.doi.org/10.1038/s41598-021-82799-9 |
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