Abstract
The Barell Body Region by Nature of Injury Diagnosis matrix has been used since 2002 to characterize the patterns of injury in various reports. The Matrix includes all ICD-9-CM codes describing trauma; thus it reduces the volume of ICD categories into a manageable number of clinically meaningful diagnostic categories, enabling standardized case-mix comparison across time and place. The matrix concept is adaptable to AIS injury codes as well, enabling a wider application for the analysis of traumatic injuries. The summation of injury diagnoses, including multiple injuries in a single patient using the matrix, formed the standardized multiple injury profiles (MIPs), a tool for epidemiological analysis of injuries in a population. MIP offers a standardized approach to statistical and epidemiological reports on injured patients, taking into account not only the first-listed/primary diagnosis but also additional ones.
The tools detailed in this chapter are described with the vision of future developments and the relationship between the matrix and injury severity indices. The Barell matrix and its derivatives enable standardized comparisons of injury statistics across time and place and facilitate the provision of epidemiological reports. The application of these methods will raise awareness to the burden of injury on populations worldwide.
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References
Aharonson-Daniel, L. (2007). What affects outcomes of injuries with identical AIS severity? APHA 135th Annual Meeting. Washington, DC. http://apha.confex.com/apha/135am/techprogram/paper_158822.htm
Aharonson-Daniel, L., Boyko, V., Ziv, A., Avitzour, M., & Peleg, K. (2003). A new approach to the analysis of multiple injuries using data from a national trauma registry. Injury Prevention, 9, 156–162.
Aharonson-Daniel, L., Giveon, A., & Peleg, K. (2005). Gaps in injury statistics: Multiple injury profiles reveal them and provide a comprehensive account. Injury Prevention, 11, 197–200.
Aharonson-Daniel, L., Giveon, A., & Peleg, K. (2006). AIS triplets – different mortality predictions in identical ISS and NISS. Journal of Trauma, 61, 711–717.
Aharonson-Daniel, L., Avitzour, M., Giveon, A., & Peleg, K. (2007). A decade to the Israeli Trauma Registry. Israel Medical Association Journal, 9, 347–351.
American college of surgeons, Committee On Trauma. (1999). Resources for optimal care of the injured patient. Chicago, IL: American College of Surgeons.
Association for the Advancement of Automotive Medicine, Committee on Injury Scaling. (1990). The Abbreviated Injury Scale – 1990 revision (AIS-90). Des Plains, IL: Association for the Advancement of Automotive Medicine.
Baker, S. P., & O’Neill, B. (1976). The injury severity score: An update. Journal of Trauma, 16(11), 882–885.
Baker, S. P., O’Neill, B., Haddon, W., & Long, W. B. (1974). The severity score: A method for describing patients with multiple injuries and evaluating emergency care. Journal of Trauma, 14, 187–196.
Barell, V. (1996, November). Assigning circumstances of injury in the emergency department. Planning Session, International Collaborative Effort on Injury Statistics (ICE), Washington, DC.
Barell, V., & Zadka, P. (1996, November). Matrix approach to classifying injury – application to Israel. Proceedings of the international collaborative effort on injury statistics (Vol. I), Washington, DC.
Barell, V., Heruti, R. J., Abargel, A., & Ziv, A. (1999, June). The Israeli “Nature of Injury by Site” diagnostic matrix. Proceeding of the International Collaborative Effort on Injury Statistics, Symposium. Washington, DC: Centers for Disease Control and Prevention, National Center for Health Statistics.
Barell, V., Heruti, R. J., Daniel-Aharonson, L., Ziv, A., & Abargel, A. (1999, June). Nature of injury by site diagnostic matrix: Differences between the Israeli and the U.S. versions. Proceeding of the International Collaborative Effort on Injury Statistics, Symposium. Washington, DC: Centers for Disease Control and Prevention, National Center for Health Statistics.
Barell, V., Aharonson-Daniel, L., Fingerhut, L. A., Mackenzie, E. J., Ziv, A., Boyko, V., Abargel, A., Avitzour, M., & Heruti, R. J. (2002). An introduction to the Barell body region by nature of injury diagnosis matrix. Injury Prevention, 8, 91–96.
Bertillon, J. (1913). Classification of the causes of death (abstract). In: Transactions of the 15th International Congress on Hygiene Demography. Washington, DC: Government Printing Offices.
CDC. (1997). ICD-9 Framework for presenting injury mortality. MMWR Recommendations and Reports, 46(14), 1–30.
Champion, H. R., Bellamy, R. F., Roberts, P., & Leppaniemi, A. (2003). A profile of combat injury. Journal of Trauma, 54, S13–S19.
Christi, P., & Stone, D. H. (2004). The final report of the European Monitoring of Trans-national Injury and Violence Epidemiology (EUROMOTIVE) project. Glasgow, Scotland
Clark, D. E., & Ahmad, S. (2006). Estimating injury severity using the Barell matrix. Injury Prevention, 12, 111–116.
Committee on Medical Aspects of Automotive Safety. (1971). Rating the severity of tissue damage. I. The abbreviated scale. JAMA, 215, 277–280.
Copes, W. S., Champion, H. R., Sacco, W. J., et al. (1990). Progress in characterizing anatomic injury. Journal of Trauma, 30, 1200–1207.
Fingerhut, L. A., & Warner, M. (2006). The ICD-10 injury mortality diagnosis matrix. Injury Prevention, 12, 24–29.
Gilpin, D. A., & Nelson, P. G. (1991). Revised trauma score: A triage tool in the accident and emergency department. Injury, 22(1), 35–37.
Graunt, J. (1975). Natural and political observations mentioned in a following index and made upon the bills of mortality. New York: Arno Press. (Reprint of the 1662 ed. printed by T. Roycroft, London)
Greenspan, A. I., Coronado, V. G., Mackenzie, E. J., Schulman, J., Pierce, B., & Provenzano, G. (2006). Injury hospitalizations: Using the nationwide inpatient sample. Journal of Trauma, 61(5), 1234–1243.
Holder, Y. (2006). Injury surveillance systems in low and middle income countries (LMIC): Challenges prospsects and lessons. African Safety Promotion, 4(1), 109–118.
Horan, J. M., & Mallonee, S. (2003). Injury Surveillance. Epidermiology Reviews, 25, 24–42.
Injury Surveillance Workgroup. (2003). Consensus recommendations for using hospital discharge data for injury surveillance. Marietta, GA: State and Territorial Injury Prevention Directors Association.
Israel, R. A. (1978). The International Classification of Disease. Two hundred years of development. Public Health Reports, 93(2), 150–152.
Langmuir, A. D. (1976). William Farr: Founder of modern concepts of surveillance. International Journal of Epidemiology, 5, 13–18.
Lilienfeld, D. E. (2007). Celebration: William Farr (1807–1883) an appreciation on the 200th anniversary of his birth. International Journal of Epidemiology, 36(5), 985–987.
Lu, T. H., Jen, I., Chou, Y. J., & Chang, H. J. (2005). Evaluating the comparability of different grouping schemes for mortality and morbidity. Health Policy, 71, 151–159.
MacKenzie, E. J., & Sacco, W. J. (1997). ICDMAP-90: A users guide. Baltimore, MD: The Johns Hopkins University School of Public Health and Tri-Analytics, Inc.
MacKenzie, E. J., Steinwachs, D. M., & Shankar, B. (1989). Classifying trauma severity based on hospital discharge diagnoses. Medical Care, 27, 412–422.
Osler, T., Rutledge, R., Deis, J., & Bedrick, E. (1996). ICISS: An international classification of disease-based injury severity score. Journal of Trauma, 41, 380–388.
Osler, T., Baker, S. P., & Long, W. (1997). A modification to the Injury Severity Score that both improves accuracy and simplifies scoring. Journal of Trauma, 43, 922–926.
Stone, R. (1997). Some British empiricists in the social sciences 1650–1900 (p. 260). Italy: Cambridge University Press.
The International Classification of Diseases. http://www.who.int/classifications/icd/ICDRevision/en/ Accessed February 15, 2011.
Warner, M. W., Schenker, N., Heinen, M. A., & Fingerhut, L. A. (2005). The effects of recall on reporting injury and poisoning episodes in the National Health Interview. Injury Prevention, 11, 282–287.
Warner, M., Fingerhut, L. A., & Chen, L. H. (2006). How can we pick which injury is most severe among all injury diagnoses listed on death certificates? APHA 134th annual meeting, Boston.
Wojcik, B. E., Stein, C. R., Orosco, J., Bagg, K. A., & Humphrey, R. J. (2010). Creation of an expanded Barell matrix to identify traumatic brain injuries of U.S. military members. Journal of Defense Modeling and Simulation: Applications, Methodology, Technology, 7(3), 157–166.
World Health Organization. (1949). Manual of the international statistical classification of diseases, injuries, and causes of death (6th rev.) Geneva: World Health Organization.
World Health Organization. (1992). International statistical classification of diseases and related health problems (Vol. 1, 10th rev.) Geneva, Switzerland: World Health Organization.
World Health Organization. (1992). International statistical classification of diseases and related health problems (10th rev.). Geneva: World Health Organization.
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Aharonson-Daniel, L. (2012). Injury Profiling. In: Li, G., Baker, S. (eds) Injury Research. Springer, Boston, MA. https://doi.org/10.1007/978-1-4614-1599-2_13
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