Gabbe Belinda J, Lyons Ronan A, Harrison James E, Rivara Frederick P, Ameratunga Shanthi, Jolley Damien, Polinder Suzanne, Derrett Sarah
Department of Epidemiology and Preventive Medicine, Monash University, Melbourne, Australia.
Centre for Improvement of Population Health through E-records Research, Swansea University, Swansea, UK.
Inj Prev. 2014 Jun;20(3):e4. doi: 10.1136/injuryprev-2013-040936. Epub 2013 Aug 6.
Priority setting, identification of unmet and changing healthcare needs, service and policy planning, and the capacity to evaluate the impact of health interventions requires valid and reliable methods for quantifying disease and injury burden. The methodology developed for the Global Burden of Disease (GBD) studies has been adopted to estimate the burden of disease in national, regional and global projects. However, there has been little validation of the methods for estimating injury burden using empirical data.
To provide valid estimates of the burden of non-fatal injury using empirical data.
Data from prospective cohort studies of injury outcomes undertaken in the UK, USA, Australia, New Zealand and The Netherlands.
Meta-analysis of deidentified, patient-level data from over 40 000 injured participants in six prospective cohort studies: Victorian State Trauma Registry, Victorian Orthopaedic Trauma Outcomes Registry, UK Burden of Injury study, Prospective Outcomes of Injury study, National Study on Costs and Outcomes of Trauma and the Dutch Injury Patient Survey.
Data will be systematically analysed to evaluate and refine injury classification, development of disability weights, establishing the duration of disability and handling of cases with more than one injury in burden estimates. Developed methods will be applied to incidence data to compare and contrast various methods for estimating non-fatal injury burden.
The findings of this international collaboration have the capacity to drive how injury burden is measured for future GBD estimates and for individual country or region-specific studies.
确定优先事项、识别未满足的和不断变化的医疗保健需求、服务与政策规划以及评估健康干预措施影响的能力，需要有效且可靠的方法来量化疾病和伤害负担。为全球疾病负担（GBD）研究开发的方法已被用于估计国家、区域和全球项目中的疾病负担。然而，使用实证数据估计伤害负担的方法几乎没有得到验证。
使用实证数据提供非致命伤害负担的有效估计。
来自英国、美国、澳大利亚、新西兰和荷兰进行的伤害结局前瞻性队列研究的数据。
对六项前瞻性队列研究中40000多名受伤参与者的去识别化患者层面数据进行荟萃分析：维多利亚州创伤登记处、维多利亚州骨科创伤结局登记处、英国伤害负担研究、伤害前瞻性结局研究、创伤成本与结局国家研究以及荷兰伤害患者调查。
将对数据进行系统分析，以评估和完善伤害分类、残疾权重的制定、确定残疾持续时间以及在负担估计中处理多处受伤的病例。将已开发的方法应用于发病率数据，以比较和对比估计非致命伤害负担的各种方法。
这项国际合作的结果有能力推动未来GBD估计以及个别国家或地区特定研究中伤害负担的测量方式。
