Modelling long term disability following injury: Comparison of three approaches for handling multiple injuries

PLoS ONE

Volumn 6, Issue 9, 2011, Pages

  Gabbe, Belinda J ^a,b   Harrison, James E ^c   Lyons, Ronan A ^d   Jolley, Damien ^a  

^a MONASH UNIVERSITY   (Australia)

^b NATIONAL TRAUMA RESEARCH INSTITUTE   (Australia)

^c FLINDERS UNIVERSITY   (Australia)

^d SWANSEA UNIVERSITY   (United Kingdom)

Author keywords

[No Author keywords available]

Indexed keywords

ADOLESCENT; ADULT; AGE; AGED; ARTICLE; CALIBRATION; COMORBIDITY; CONTROLLED STUDY; DISABILITY; DISEASE SEVERITY; FEMALE; FUNCTIONAL ASSESSMENT; GLASGOW OUTCOME SCALE; HEALTH STATUS; HUMAN; INTERMETHOD COMPARISON; LOGISTIC REGRESSION ANALYSIS; LONG TERM DISABILITY; MAJOR CLINICAL STUDY; MALE; MULTIPLE TRAUMA; PREDICTION; PROBABILITY; REGISTER; SURVIVAL; UNITED KINGDOM; DISABLED PERSON; INJURY; INJURY SCALE; MIDDLE AGED; STATISTICAL MODEL; STATISTICS;

ADULT; AGED; AGED, 80 AND OVER; DISABLED PERSONS; FEMALE; GLASGOW OUTCOME SCALE; HUMANS; INJURY SEVERITY SCORE; LOGISTIC MODELS; MALE; MIDDLE AGED; MULTIPLE TRAUMA; WOUNDS AND INJURIES;

EID: 80053596367     PISSN: None     EISSN: 19326203     Source Type: Journal    
DOI: 10.1371/journal.pone.0025862     Document Type: Article

References (36)

1. Lopez A, (2005) The evolution of the Global Burden of Disease framework for disease, injury and risk factor quantification: developing the evidence base for national, regional and global public health action. Global Health 1 doi:10.1186/1744-8603-1181-1185.
2. Lopez A, Mathers C, Ezzati M, Jamison D, Murray C, eds. (2006) Global burden of disease and risk factors. New York Oxford University Press.
3. Murray C, Lopez A, eds. (1996) The Global Burden of Disease: a comprehensive assessment of mortality and disability from diseases, injuries, and risk factors in 1990 and projected to 2020. Cambridge, MA Harvard School of Public Health on behalf of the World Health Organization and the World Bank.
4. Bhalla K, Harrison J, Abraham J, Borse N, Lyons R, et al. (2009) Data sources for improving estimates of the global burden of injuries: Call for contributors. PLOS Med 6: 22-24.
5. Mathers C, Vos E, Stevenson C, Begg S, (2001) The burden of disease and injury in Australia. Bull Wrld Health Organ 79: 1076-1084.
6. Naghavi M, Abolhassani F, Poumalek F, Moradi Lakeh M, Jafari N, et al. (2009) The burden of disease and injury in Iran 2003. Popul Health Metr 7 doi:10.1186/1478-7954-7-9.
7. Mathers C, Vos E, Stevenson C, (1999) The burden of disease and injury in Australia. Canberra: Australian Institute of Health and Welfare. Accessed 25 April 2011 at:http://www.aihw.gov.au/publications/phe/bdia/bdia.pdf.
8. Dale W, Basu A, Elstein A, Meltzer D, (2008) Predicting utility ratings for joint health states from single health states in prostate cander: Empirical testing of 3 alternative theories. Med Dec Making 28: 102-112.
9. Flanagan W, McIntosh C, Le Petit C, Berthelot J, (2006) Deriving utility scores for co-morbid conditions: a test of the multiplicative model for combining individual condition scores. Popul Health Metr 4 doi:1186/1478-7954-4-13.
10. Hanmer J, Vanness D, Gangnon R, Palta M, Fryback D, (2010) Three methods test to model SF-6D health utilities for health states involving comorbidity/co-occurring conditions. J Clin Epidemiol 63: 331-341.
11. Willis C, Gabbe B, Jolley D, Harrison J, Cameron P, (2010) Predicting trauma patient mortality: ICD (or ICD-10-AM) versus AIS based approaches. Aust N Z J Surg 80: 802-806.
12. Cameron P, Finch C, Gabbe B, Collins L, Smith K, et al. (2004) Developing Australia's first statewide trauma registry- What are the lessons? Aust N Z J Surg 74: 424-428.
13. Cameron P, Gabbe B, McNeil J, Finch C, Smith K, et al. (2005) The trauma registry as a state-wide quality improvement tool. J Trauma 59: 1469-1476.
14. Edwards E, Graves S, McNeil J, Williamson O, Urquhart D, et al. (2006) Orthopaedic trauma: Establishment of an outcomes registry to evaluate and monitor treatment effectiveness. Injury 37: 95-96.
15. Tu J, Willison D, Silver F, Fang J, Richards J, et al. (2004) Impracticability of informed consent in the registry of the Canadian Stroke Network. NEJM 350: 1414-1421.
16. Charlson M, Pompei P, Ales K, MacKenzie C, (1987) A new method of classifying prognostic comorbidity in longitudinal studies: Development and validation. J Chronic Dis 40: 373-383.
17. Librero J, Peiro S, Ordinana R, (1999) Chronic comorbidity and outcomes of hospital care: length of stay, mortality, and readmission at 30 and 65 days. J Clin Epidemiol 52: 171-179.
18. Gabbe B, Magtengaard K, Hannaford A, Cameron P, (2005) Is the Charlson Comorbidity Index useful for predicting trauma outcomes? Acad Emerg Med 12: 318-321.
19. Gabbe B, Sutherland A, Hart M, Cameron P, (2010) Population-based capture of long-term functional and quality of life outcomes after major trauma- the experiences of the Victorian State Trauma Registry. J Trauma 69: 532-536.
20. Wilson J, Pettigrew L, Teasdale G, (1998) Structured Interviews for the Glasgow Outcome Scale and the Extended Glasgow Outcome Scale: Guidlines for Their Use. J Neurotrauma 15: 573-585.
21. Baldry Currens J, Coats T, (2000) The timing of disability measurements following injury. Injury 31: 93-98.
22. Holbrook TL, Anderson JP, Sieber WJ, Browner D, Hoyt DB, (1999) Outcome after major trauma: 12-month and 18-month follow-up results from the Trauma Recovery Project. J Trauma 46: 765-771; discussion 771-763.
23. Altman D, Vergouwe Y, Royston P, Moons K, (2009) Prognosis and prognostic research: validating a prognostic model. BMJ 338: 1432-1435.
24. Davie G, Cryer C, Langley J, (2008) Improving the predictive ability of the ICD-based Injury Severity Score. Inj Prev 14: 250-255.
25. Royston P, Moons K, Altman D, Vergouwe Y, (2009) Prognosis and prognostic research: Developing a prognostic model. BMJ 338: b604.
26. Hosmer D, Lemeshow S, (2000) Applied Logistic Regression. New York John Wiley & Sons, Inc pp. 91-116.
27. Altman D, Royston P, (2000) What do we mean by validating a prognostic model? Stat Med 19: 453-473.
28. Kilgo P, Osler T, Meredith W, (2003) The worst injury predicts mortality outcome the best: rethinking the role of multiple injuries in trauma outcome scoring. J Trauma 55: 599-607.
29. Osler T, Rutledge R, Deis J, Bedrick E, (1996) ICISS; An International Classification of Disease 9 Based Injury Severity Score. J Trauma 41: 380-388.
30. Stephenson S, Henley G, Harrison J, Langley J, (2004) Diagnosis based injury severity scaling: investigation of a method using Australian and New Zealand hospitalisations. Inj Prev 10: 379-383.
31. Harris I, Young J, Rae H, Jalaludin B, Solomon M, (2008) Predictors of general health after major trauma. J Trauma 64: 969-974.
32. Holbrook T, Anderson J, Sieber W, Browner D, Hoyt D, (1998) Outcome after major trauma: discharge and 6-month follow-up results from the trauma recovery project. J Trauma 45: 315-324.
33. MacKenzie E, Bosse M, Kellam J, Pollak A, Webb L, et al. (2006) Early predictors of long-term work disability after major limb trauma. J Trauma 61: 688-694.
34. MacKenzie E, Morris J, Jurkovich G, Yasui Y, Cushing B, et al. (1998) Return to work following injury: the role of economic, social and job-related factors. Am J Pub Health 88: 1630-1637.
35. Ringburg A, Polinder S, van Ierland M, Steyerberg E, van Lieshout E, et al. (2011) Prevalence and prognostic factors of disability after major trauma. J Trauma 70: 916-922.
36. Vles W, Steyerberg E, Essink-Bot M, van Beeck E, Meeuwis J, et al. (2005) Prevalence and determinants of disabilities and return to work after major trauma. J Trauma 58: 126-135.