Validating and Improving Injury Burden Estimates Study: the Injury-VIBES study protocol

被引:12
作者
Gabbe, Belinda J. [1 ]
Lyons, Ronan A. [2 ]
Harrison, James E. [3 ]
Rivara, Frederick P. [4 ,5 ]
Ameratunga, Shanthi [6 ]
Jolley, Damien [1 ]
Polinder, Suzanne [7 ]
Derrett, Sarah [8 ]
机构
[1] Monash Univ, Dept Epidemiol & Prevent Med, Melbourne, Vic 3004, Australia
[2] Swansea Univ, Ctr Improvement Populat Hlth E Records Res, Swansea, W Glam, Wales
[3] Flinders Univ S Australia, Res Ctr Injury Studies, Adelaide, SA 5001, Australia
[4] Univ Washington, Dept Pediat, Seattle, WA 98195 USA
[5] Univ Washington, Dept Epidemiol, Seattle, WA 98195 USA
[6] Univ Auckland, Sect Epidemiol & Biostat, Sch Populat Hlth, Auckland 1, New Zealand
[7] Erasmus MC, Dept Publ Hlth, Rotterdam, Netherlands
[8] Univ Otago, Sch Med, Dept Prevent & Social Med, Injury Prevent Res Unit, Dunedin, New Zealand
基金
英国医学研究理事会; 美国国家卫生研究院; 澳大利亚国家健康与医学研究理事会;
关键词
QUALITY-OF-LIFE; TRAUMA-CENTER CARE; DISABILITY WEIGHTS; HEALTH STATES; GLOBAL BURDEN; OUTCOMES; POPULATION; DISEASE; RELIABILITY; REGISTRY;
D O I
10.1136/injuryprev-2013-040936
中图分类号
R1 [预防医学、卫生学];
学科分类号
1004 ; 120402 ;
摘要
Background 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. Objective To provide valid estimates of the burden of non-fatal injury using empirical data. Setting Data from prospective cohort studies of injury outcomes undertaken in the UK, USA, Australia, New Zealand and The Netherlands. Design and participants 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. Analysis 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. Contribution to the field 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.
引用
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页数:6
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共 42 条
  • [1] Data Sources for Improving Estimates of the Global Burden of Injuries: Call for Contributors
    Bhalla, Kavi
    Harrison, James
    Abraham, Jerry
    Borse, Nagesh N.
    Lyons, Ronan
    Boufous, Soufiane
    Aharonson-Daniel, Limor
    [J]. PLOS MEDICINE, 2009, 6 (01) : 22 - 24
  • [2] The estimation of a preference-based measure of health from the SF-12
    Brazier, JE
    Roberts, J
    [J]. MEDICAL CARE, 2004, 42 (09) : 851 - 859
  • [3] The trauma registry as a statewide quality improvement tool
    Cameron, PA
    Gabbe, BJ
    McNeil, JJ
    Finch, CF
    Smith, KL
    Cooper, J
    Judson, R
    Kossmann, T
    [J]. JOURNAL OF TRAUMA-INJURY INFECTION AND CRITICAL CARE, 2005, 59 (06) : 1469 - 1476
  • [4] Developing Australia's first statewide trauma registry: what are the lessons?
    Cameron, PA
    Finch, CF
    Gabbe, BJ
    Collins, LJ
    Smith, KL
    McNeil, JJ
    [J]. ANZ JOURNAL OF SURGERY, 2004, 74 (06) : 424 - 428
  • [5] IDENTIFYING INJURY DIAGNOSES ASSOCIATED WITH A HIGH PROBABILITY OF ADMISSION
    Cryer, C.
    Gulliver, P.
    de Graaf, B.
    Davie, G.
    Langley, J.
    [J]. INJURY PREVENTION, 2010, 16 : A141 - A141
  • [6] Predicting utility ratings for joint health states from single health states in prostate cancer: Empirical testing of 3 alternative theories
    Dale, William
    Basu, Anirban
    Elstein, Arthur
    Meltzer, David
    [J]. MEDICAL DECISION MAKING, 2008, 28 (01) : 102 - 112
  • [7] Improving the predictive ability of the ICD-based Injury Severity Score
    Davie, G.
    Cryer, C.
    Langley, J.
    [J]. INJURY PREVENTION, 2008, 14 (04) : 250 - 255
  • [8] Derrett S, 2009, INJURY PREV, V15, DOI [10.1136/ip.2009.022558, 10.1136/ip.2009.022558a]
  • [9] Prevalence and Predictors of Sub-Acute Phase Disability after Injury among Hospitalised and Non-Hospitalised Groups: A Longitudinal Cohort Study
    Derrett, Sarah
    Samaranayaka, Ari
    Wilson, Suzanne
    Langley, John
    Ameratunga, Shanthi
    Cameron, Ian D.
    Lilley, Rebbecca
    Wyeth, Emma
    Davie, Gabrielle
    [J]. PLOS ONE, 2012, 7 (09):
  • [10] Modelling Long Term Disability following Injury: Comparison of Three Approaches for Handling Multiple Injuries
    Gabbe, Belinda J.
    Harrison, James E.
    Lyons, Ronan A.
    Jolley, Damien
    [J]. PLOS ONE, 2011, 6 (09):