The incremental cost of traumatic brain injury during the first year after a road traffic accident

References

• Majdan M, Plancikova D, Brazinova A, Rusnak M, Nieboer D, Feigin V, Maas A. Epidemiology of traumatic brain injuries in Europe: a cross-sectional analysis. Lancet Public Health. 2016;1(2):e76–e83. doi:10.1016/S2468-2667(16)30017-2.
   PubMed Web of Science ®Google Scholar
• McGarry LJ, Thompson D, Millham FH, Cowell L, Snyder PJ, Lenderking WR, Weinstein MC. Outcomes and costs of acute treatment of traumatic brain injury. J Trauma. 2002;53(6):1152–59. doi:10.1097/01.TA.0000025801.33552.71.
   PubMed Web of Science ®Google Scholar
• Tagliaferri F, Compagnone C, Korsic M, Servadei F, Kraus J. A systematic review of brain injury epidemiology in Europe. Acta Neurochir. 2006;48(3):255–68. discussion 68. doi:10.1007/s00701-005-0651-y.
   Web of Science ®Google Scholar
• Morris S, Ridley FE, Lecky FE, Munro V, Christensen MC. Determinants of hospital costs associated with traumatic brain injury in England and Wales. Anaesthesia. 2008;63:499–508. doi:10.1111/j.1365-2044.2007.05432.x.
   PubMed Web of Science ®Google Scholar
• European Road Safety Observatory. Annual accident report. Brussels: European Commission; 2017.
   Google Scholar
• Thornhill S, Teasdale GM, Murray GD, McEwen J, Roy CW, Penny KI. Disability in young people and adults one year after head injury: prospective cohort study. BMJ. 2000;20(7250):1631–35. doi:10.1136/bmj.320.7250.1631.
   Web of Science ®Google Scholar
• Turner-Stokes L, Disler PB, Nair A, Wade DT. Multi-disciplinary rehabilitation for acquired brain injury in adults of working age. Cochrane Database Syst Rev. 2015;3:Cd004170. doi:10.1002/14651858.CD004170.pub3.
   Web of Science ®Google Scholar
• Prang KH, Ruseckaite R, Collie A. Healthcare and disability service utilization in the 5-year period following transport-related traumatic brain injury. Brain Inj. 2012;26(13–14):1611–20. doi:10.3109/02699052.2012.698790.
   PubMed Web of Science ®Google Scholar
• van Velzen JM, van Bennekom CA, Edelaar MJ, Sluiter JK, Frings-Dresen MH. How many people return to work after acquired brain injury?: a systematic review. Brain Inj. 2009;23(6):473–88. doi:10.1080/02699050902970737.
   PubMed Web of Science ®Google Scholar
• Berg J. Economic evidence in trauma: a review. Eur J Health Econ. 2004;5(1):s84–s91. doi:10.1007/s10198-005-0293-2.
   PubMedGoogle Scholar
• Olesen J, Gustavsson A, Svensson M, Wittchen HU, Jonsson B. The economic cost of brain disorders in Europe. Eur J Neurol. 2012;19(1):155–62. doi:10.1111/j.1468-1331.2011.03590.x.
   PubMed Web of Science ®Google Scholar
• Humphreys I, Wood WL, Philips CJ, Macey S. The costs of traumatic brain injury: a literature review. Clinicoecon Outcomes Res. 2013;5:281–87. doi:10.2147/CEOR.S44625.
   PubMedGoogle Scholar
• Ponsford JL, Spitz G, Cromatry F, Gifford D, Attwood D. Costs of care after traumatic brain injury. J Neurotrauma. 2013;30:1498–505. doi:10.1089/neu.2012.2843.
   PubMed Web of Science ®Google Scholar
• Thompson HJ, Weir S, Rivara FP, Wang J, Sullivan SD, Salkever D, MacKenzie EJ. Utilization and costs of health care after geriatric traumatic brain injury. J Neurotrauma. 2012;29:1864–71. doi:10.1089/neu.2011.2284.
   PubMed Web of Science ®Google Scholar
• Dismuke CE, Walker RJ, Egede LE. Utilization and cost of health services in individuals with traumatic brain injury. Glob J Health Sci. 2015;7(6):156–67. doi:10.5539/gjhs.v7n6p156.
   PubMedGoogle Scholar
• Scholten AC, Haagsma JA, Panneman MJM, van Beeck EF, Polinder S. Traumatic brain injury in the Netherlands: incidence, costs and disability-adjusted life years. PLoS One. 2014;9(10):e110905. doi:10.1371/journal.pone.0110905.
   PubMed Web of Science ®Google Scholar
• Chen A, Bushmeneva K, Zagorski B, Colantonio A, Parsons D, Wodchis W. Direct cost associated with acquired brain injury in Ontario. BMC Neurol. 2010;12:76. doi:10.1186/1471-2377-12-76.
   Web of Science ®Google Scholar
• Akobundu E, Ju J, Blatt L, Mullins CD. Cost-of-illness studies: a review of current methods. Pharmacoeconomics. 2006;24(9):869–90. doi:10.1007/s40273-015-0325-4.
   PubMed Web of Science ®Google Scholar
• Van Belleghem G, Devos S, De Wit L, Hubloue I, Lauwaert D, Pien K, Putman K. Predicting in-hospital mortality of traffic victims: a comparison between AIS-and ICD-9-CM-related injury severity scales when only ICD-9-CM is reported. Injury. 2016;47(1):141–46. doi:10.1016/j.injury.2015.08.025.
   PubMed Web of Science ®Google Scholar
• Devos S, Van Belleghem G, Pien K, Hubloue I, Lauwaert I, van Lier T, Annemans L, Putman K. Variations in hospital costs after traffic injuries: the importance of sociodemographic aspects and comorbidities. Injury. 2017;48(10):2132–39. doi:10.1016/j.injury.2017.08.009.
   PubMed Web of Science ®Google Scholar
• Barell V, Aharonson-Daniel L, Fingerhut LA, Mackenzie EJ, Ziv A, Boyko V, Abargel A, Aitzour M, Heruti R. An introduction to the Barell body region by nature of injury diagnosis matrix. Inj Prev. 2002;8(2):91–96. doi:10.1136/ip.8.2.91.
   PubMed Web of Science ®Google Scholar
• Austin PC. A comparison of 12 algorithms for matching on the propensity score. Stat Med. 2014;33(6):1057–69. doi:10.1002/sim.6004.
   PubMed Web of Science ®Google Scholar
• Bergstrahl E, Kosanke J. Gmatch; 2007 Aug [accessed 2018 Nov 8]. [SAS macro]. http://bioinformaticstools.mayo.edu/research/gmatch/.
   Google Scholar
• Austin PC. Optimal caliper widths for propensity-score matching when estimating differences in means and differences in proportions in observational studies. Pharm Stat. 2011;10(2):150–61. doi:10.1002/pst.433.
   PubMed Web of Science ®Google Scholar
• Parsons LS. Reducing bias in a propensity score matched-pair sample using greedy matching techniques. In: SAS Institute Inc., editor. Twenty-Sixth Annual SAS® Users Group International Conference; 2001; Cary, NC, USA: SAS Posters, p. 214–26.
   Google Scholar
• Austin PC. Propensity-score matching in the cardiovascular surgery literature from 2004 to 2006: a systematic review and suggestions for improvement. J Thorac Cardiovasc Surg. 2007;134(5):1128–35. doi:10.1016/j.jtcvs.2007.07.021.
   PubMed Web of Science ®Google Scholar
• Normand ST, Landrum MB, Guadagnoli E, Ayanian JZ, Ryan TJ, Cleary PD, McNeil BJ. Validating recommendations for coronary angiography following acute myocardial infarction in the elderly: a matched analysis using propensity scores. J Clin Epidemiol. 2001;54(4):387–98. doi:10.1016/S0895-4356(00)00321-8.
   PubMed Web of Science ®Google Scholar
• Lumley T, Diehr P, Emerson S, Chen L. The importance of the normality assumption in large public health datasets. Annu Rev Public Health. 2002;23:151–69. doi:10.1146/annurev.publhealth.23.100901.140546.
   PubMed Web of Science ®Google Scholar
• Gosho M. Criteria to select a working correlation structure for the generalized estimating equations method in SAS. J Stat Softw. 2014;57:1–8. doi:10.18637/jss.v057.c01.
   PubMed Web of Science ®Google Scholar
• Brooks MJ, Sutton R, Sarin S. Comparison of surgical risk score, POSSUM and p‐POSSUM in higher‐risk surgical patients. Br J Surg. 2005;92(10):1288–92. doi:10.1002/bjs.5058.
   PubMed Web of Science ®Google Scholar
• Jiménez-Martín S, Prieto CV. The trade-off between formal and informal care in Spain. Eur J Health Econ. 2012;13(4):461–90. doi:10.1007/s10198-011-0317-z.
   PubMed Web of Science ®Google Scholar
• Van de Sande S, De Wachter D, Swartenbroeckx N, Peers J, Debruyne H, Moldenaers I, Lejeune B, Van Damme V, Ramaekers D. Inventaris van databanken gezondheidszorg. Bussels: Federaal Kenniscentrum voor de gezondheidszorg (KCE); 2006 May. Report No.: D/2006/10.273/14.
   Google Scholar
• Welk B, Kwong J. A review of routinely collected data studies in urology: methodological considerations, reporting quality, and future directions. Can Urol Assoc J. 2017;11(3–4):136–41. doi:10.5489/cuaj.4101.
   PubMed Web of Science ®Google Scholar
• Welke KF, Karamlou T, Diggs BS. Databases for assessing the outcomes of the treatment of patients with congenital and paediatric cardiac disease: a comparison of administrative and clinical data. Cardiol Young. 2008;18(Suppl 2):137–44. doi:10.1017/S1047951108002837.
   PubMed Web of Science ®Google Scholar
• Shahian DM, Silverstein T, Lovett AF, Wolf RE, Normand SL. Comparison of clinical and administrative data sources for hospital coronary artery bypass graft surgery report cards. Circulation. 2006;115:1518–27. doi:10.1161/CIRCULATIONAHA.106.633008.
   Web of Science ®Google Scholar
• Aylin P, Bottle A, Majeed A. Use of administrative data or clinical databases as predictors of risk of death in hospital: comparison of models. BMJ. 2007;334(7602):1044. doi:10.1136/bmj.39168.496366.55.
   PubMed Web of Science ®Google Scholar
• Maas AIR, Menon DK, Adelson PD, Andelic N, Bell MJ, Belli A, Bragge P, Brazinova A, Büki A, Chesnut RM, et al. Traumatic brain injury: integrated approaches to improve prevention, clinical care, and research. Lancet Neurol. 2017;16(12):987–1048. doi:10.1016/S1474-4422(17)30371-X.
   PubMed Web of Science ®Google Scholar
• Macpherson A, Spinks A. Bicycle helmet legislation for the uptake of helmet use and prevention of head injuries. Cochrane Database Syst Rev. 2008;(3):Cd005401. doi:10.1002/14651858.CD005401.pub3.
   PubMed Web of Science ®Google Scholar
• Sethi M, Heidenberg J, Wall SP, Ayoung-Chee P, Slaughter D, Levine DA, Jacko S, Wilson C, Marshall G, Pachter HL, et al. Bicycle helmets are highly protective against traumatic brain injury within a dense urban setting. Injury. 2015;46(12):2483–90. doi:10.1016/j.injury.2015.07.030.
   PubMed Web of Science ®Google Scholar