Exploring clinical metrics to assess the health impact of traffic injuries

References

• Amoros, E., Martin, J., Chiron, C., & Laumon, B. (2007). Road crash casualties: Characteristics of police injury severity misclassification. The Journal of Trauma: Injury, Infection, and Critical Care, 62(2), 482–490.
   PubMed Web of Science ®Google Scholar
• Bambach, M.R., & Mitchell, R.J. (2015). Estimating the human recovery costs of seriously injured road crash casualties. Accident Analysis & Prevention 85, 177–185.
   PubMed Web of Science ®Google Scholar
• Barnard, R.T., Loftis, K.L., Martin, R.S., & Stitzel, J.D. (2013). Development of a robust mapping between AIS 2+ and ICD-9 injury codes. Accident Analysis & Prevention, 52, 133–143.
   PubMed Web of Science ®Google Scholar
• Carter, P.M., Flannagan, C.A.C., Reed, M.P., Cunningham, R.M., & Rupp, J.D. (2014). Comparing the effects of age, BMI and gender on severe injury (ais 3+) in motor-vehicle crashes. Accident Analysis & Prevention, 72, 146–160.
   PubMed Web of Science ®Google Scholar
• Chen, H.Y., Jan, S., Boufous, S., Martiniuk, A.L.C., Ivers, R., Senserrick, T., … & Muscatello, D. (2012). Variations in car crash-related hospitalization costs amongst young adults in New South Wales, Australia. Injury, 43(9), 1593–1599.
   PubMed Web of Science ®Google Scholar
• Couto, A., Rodrigues, C., Tavares, J.P., Amorim, M., & Ferreira, S. (2015). D2 – final deliverable. Porto: Faculty of Engineering, University of Porto, pp. 48.
   Google Scholar
• Dhondt, S., Pirdavani, A., Macharis, C., Bellemans, T., & Putman, K. (2012). Translating road safety into health outcomes using a quantitative impact assessment model. Injury Prevention, 18(6), 413–420.
   PubMed Web of Science ®Google Scholar
• Farmer, C.M. (2003). Reliability of police-reported information for determining crash and injury severity. Traffic Injury Prevention, 4(1), 38–44.
   PubMedGoogle Scholar
• Ferreira, S., Amorim, M., & Couto, A. (2017). Risk factors affecting injury severity determined by the MAIS score. Traffic Injury Prevention, 18(5), 515–520.
   PubMed Web of Science ®Google Scholar
• Ferreira, S., Falcão, L., Couto, A., & Amorim, M. (2015). The quality of the injury severity classification by the police: An important step for a reliable assessment. Safety Science, 79, 88–93.
   Web of Science ®Google Scholar
• Forman, J.L., Lopez-Valdes, F.J., Pollack, K., Heredero-Ordoyo, R., Molinero, A., Mansilla, A., … Segui-Gomez, M. (2012). Injuries among powered two-wheeler users in eight European countries: A descriptive analysis of hospital discharge data. Accident Analysis & Prevention, 49, 229–236.
   PubMed Web of Science ®Google Scholar
• Haagsma, H.A., Polinder, S., Lyons, R.A., Lund, J., Ditsuwan, V., Prinsloo, M., … Beeck, E.F.V. (2012). Improved and standardized method for assessing years lived with disability after injury. Bulletin of the World Health Organization, 90, 513–521.
   PubMed Web of Science ®Google Scholar
• Haas, B., Xiong, W., Brennan-Barnes, M., Gomez, D., & Nathens, A.B. (2012). Overcoming barriers to population-based injury research: Development and validation of an ICD-10–to–AIS algorithm. Canadian Journal of Surgery 55(1), 21.
   PubMed Web of Science ®Google Scholar
• International Traffic Safety Data and Analysis Group. (2012). Reporting on serious road traffic casualties. Combining and using different data sources to improve understanding of non-fatal road traffic crashes. IRTAD (OECD/ITF).
   Google Scholar
• Liu, W.-C., Doong, J.-L., Tsai, S.-L., Lai, C.-H., & Jeng, M.-C. (2009). Integrated model of simulated occupant injury risk and real medical costs. Journal of Safety Research, 40(6), 461–468.
   PubMed Web of Science ®Google Scholar
• Long, W.B.M.S., William J.S., Lawnick, W.C., Proctor, M.M., Sacco, S.M., & June, B. (1994). An evaluation of expert human and automated abbreviated injury scale and ICD-9-cm injury coding. The Journal of Trauma: Injury, Infection, and Critical Care, 36(4), 499–503.
   PubMedGoogle Scholar
• MacKenzie, M., Dm, S., & Shankar, B. (1989). Classifying trauma severity based on hospital discharge diagnoses. Validation of an ICD-9cm to AIS-85 conversion table. Medical Care, 27(4), 412–422.
   PubMed Web of Science ®Google Scholar
• Manning, W.G., & Mullahy, J. (2001). Estimating log models: To transform or not to transform? Journal of Health Economics, 20(4), 461–494.
   PubMed Web of Science ®Google Scholar
• Mathauer, I., & Wittenbecher, F. (2013). Hospital payment systems based on diagnosis-related groups: Experiences in low- and middle-income countries. Bulletin of the World Health Organization, 91, 746–756A.
   PubMed Web of Science ®Google Scholar
• Polinder, S., Haagsma, J., Bos, N., Panneman, M., Wolt, K. K., Brugmans, M., … & Van Beeck, E. (2015). Burden of road traffic injuries: Disability-adjusted life years in relation to hospitalization and the maximum abbreviated injury scale. Accident Analysis & Prevention, 80, 193–200.
   PubMed Web of Science ®Google Scholar
• Polinder, S., Meerding, W.J., Van Baar, M.E., Toet, H., Mulder, S., Van Beeck, E.F., & Group, T.E.R. (2005). Cost estimation of injury-related hospital admissions in 10 European countries. The Journal of Trauma: Injury, Infection, and Critical Care, 59(6), 1283–1291.
   PubMedGoogle Scholar
• Scholten, A.C., Polinder, S., Panneman, M.J.M., Van Beeck, E.F., & Haagsma, J.A. (2015). Incidence and costs of bicycle-related traumatic brain injuries in the Netherlands. Accident Analysis & Prevention 81, 51–60.
   PubMed Web of Science ®Google Scholar
• Shen, S., & Neyens, D.M. (2015). The effects of age, gender, and crash types on drivers’ injury-related health care costs. Accident Analysis & Prevention, 77, 82–90.
   PubMed Web of Science ®Google Scholar
• Tarko, A., & Azam, M.S. (2011). Pedestrian injury analysis with consideration of the selectivity bias in linked police-hospital data. Accident Analysis & Prevention, 43(5), 1689–1695.
   PubMed Web of Science ®Google Scholar
• Veisten, K., Sælensminde, K., Alvær, K., Bjørnskau, T., Elvik, R., Schistad, T., & Ytterstad, B. (2007). Total costs of bicycle injuries in Norway: Correcting injury figures and indicating data needs. Accident Analysis & Prevention, 39(6), 1162–1169.
   PubMed Web of Science ®Google Scholar
• World Health Organization(2013). Global status report on road safety 2013: Supporting a decade of action. Geneva: Author.
   Google Scholar