整合異質資料探討車禍死亡人數推估係數與壽命年數損失之研究

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賴靜慧(CHING-HUEI LAI) 查詢紙本館藏

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論文名稱

整合異質資料探討車禍死亡人數推估係數與壽命年數損失之研究
(Integrate Heterogeneous Data to Explore the Number and Lost Years of Crash Fatality)

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摘要(中)

降低死亡率及延長人類壽命，是醫學科學的主要目標之一。依據世界衛生組織估計，由2002年到2030年，全球因損傷而肇致的死亡人數將成長40%，多數是肇因於車禍，而車禍將由目前第8-10名上升為第4-5名主要死亡原因。
本研究透過異質資料的整合方法，藉由淨化、連結我國警察單位的交通事故資料與衛生單位的死亡原因資料，建立車禍死亡者的整合資料庫，並據以衍生國際常用之不同死亡時間定義下的30天死亡人數推估係數及壽命年數損失(Years of Life Lost，YLL)，探討影響車禍之人、車、路及環境三項因素，對死亡危急性的影響，以及對社會所造成的死亡負擔，並與國際資料比較。
研究之主要結果：(1)我國車禍當天的推估係數較歐洲及日本為高，顯示我國有較多晚期死亡者；(2)推估係數揭露胸部受傷的危急性在所探討之風險因子中居冠；(3)年輕人因車禍而產生的平均YLL居各年齡層之冠，但高齡者的平均YLL甚高，遠高於西太平洋地區；(4)在不同性別、年齡別族群中，平均YLL的風險因子排名並不相相同，但頭部受傷、市區道路及乾燥路面對所有族群均為高風險因子。(5)不同死亡指標，可提供更多樣化的車禍風險面貌。
透過異質資料整合的方式，可有效結合既有資料庫，發展出有價值的資訊，本研究經驗顯示此可使我國資料與國際比較，並延伸應用，提供我國經驗，供國際參考。

摘要(英)

Lower death rate and longer life years are two objectives of medicine science. According the estimates published by World Health Organization, the deaths caused by injuries would increase 40% from year 2020 to 2030. Most of them were crash fatalities. By then, the crash would rank 4-5 in the causes of deaths.
The present study linked the heterogeneous police reported crash data with vital registration data to build an integrated database. Then, two common used fatality indexes, 30 days fatality adjustment factors under different fatality time definition and years of life lost (YLL), were used to investigate the influence of various risk factors on crashes. The results were also compared with international data.
The major results were: 1) Taiwan’s adjustment factor at the first day of crash was higher than that in Europe and Japan. It indicated more late deaths in Taiwan. 2) Illustrated by fatality adjustment factors, thorax injuries were the most exigent factor among the investigated risk factors. 3) The YLL rates of the youth were highest across age groups. However, the YLL rates of the elder were visible high, and higher than that in Western Pacific Region B area. 4) The factors on YLL rate rank various among sex and age groups; however, head injuries, injuries involving urban roads and dry road condition were the factors with higher YLL rate in all groups. 5) Different fatality indexes could provide various crashes features.
Integrating heterogeneous data could efficiently combine existing databases to provide valuable information. The experiences in present study demonstrated that it could compare local data with international data and investigate advanced.

關鍵字(中)

★ 推估係數
★ 壽命年數損失
★ 交通事故

關鍵字(英)

★ Years of Life Lost
★ Traffic Accident
★ Adjustment

論文目次

目錄 iv
圖目錄 vii
表目錄 viii
英文縮寫意義 xi
符號說明 xii
一、前言 1
1-1 疾病與意外事故對國人死亡及壽命的影響 3
1-2 車禍死亡的國際指標與評估 7
1-3 我國車禍死亡相關的異質資料庫 10
1-4 研究目的 11
1-5 研究方法 12
1-6 研究流程及各章內容 13
二、文獻回顧 15
2-1 車禍死亡指標的相關研究 15
2-1-1 車禍死亡定義的課題 15
2-1-2 壽命年數損失(YLL)指標 17
2-2 車禍死亡特性的相關研究 20
2-2-1 一般車禍特性分析架構：Haddon Matrix 20
2-2-2 車禍前及車禍當時的死亡風險因素相關研究 21
2-2-3 車禍後的死亡風險因素相關研究 27
2-3 異質資料整合 30
2-3-1 國外資料連結方法 30
2-3-2 國外車禍資料連結的相關研究 33
三、研究方法 37
3-1 我國事故與死因資料整合的處理 37
3-1-1 事故與死因資料背景說明 37
3-1-2 身份證字號及日期資料淨化 38
3-1-3 整合資料的型態分析 44
3-2 壽命年數損失(YLL)指標計算 49
3-2-1 YLL的理論：死因指派、生命模型、年齡權重 49
3-2-2 YLL的計算方法 52
3-3 統計檢定方法 55
3-3-1 比例p檢定方法 55
3-3-2 χ2檢定方法 56
四、車禍死亡資料檢誤與死亡人數推估係數之探討 57
4-1 車禍死亡資料檢誤之探討 57
4-1-1 不同死亡時間差下所登錄之外因碼(E-code)變化分析 57
4-1-2 資料一致性的分析 60
4-1-3 事故日期及死亡日期的資料合理性分析 62
4-1-4 外因碼(E-code)輔助車禍死亡研判的探討 64
4-1-5 以替代性個體資料連結的探討 68
4-2 整合事故與死因資料後之死亡人數推估係數 71
4-2-1 不同「人」因素的死亡人數推估係數 74
4-2-2 不同「車」因素的死亡人數推估係數 82
4-2-3 「路及環境」因素的死亡人數推估係數 86
4-3 推估係數與國際比較 89
4-3-1 與日本之推估係數比較 90
4-3-2 與歐盟ECMT之推估係數比較 92
4-4 討論 95
五、車禍死亡的壽命年數損失(YLL)特性與國際比較之探討 101
5-1 YLL指標重要課題探討 101
5-1-1 死因指派的影響分析 101
5-1-2 生命模型的影響分析 112
5-1-3 年齡權重的影響分析 116
5-2 YLL國際與國內比較 124
5-2-1 我國YLL與WHO公布之太平洋東岸地區資料比較 124
5-2-2 整合事故與死因資料之YLL與死因資料之YLL比較 128
5-3 YLL的車禍特性探討 132
5-3-1 不同「人」因素下的YLL分佈 132
5-3-2 不同「車」因素下的YLL分佈 144
5-3-3 不同「路及環境」因素下的YLL分佈 149
5-4 討論 157
六、結論與建議 164
6-1 結論 164
6-2 未來研究方向 167
6-3 建議 168
參考文獻 169
附錄一：道路交通事故資料欄位說明 181
附錄二：死因資料欄位說明 184
附錄三：事故資料庫中受害者出現在死因資料庫的人數統計(2000-2001) 186
附錄四：時間差小於0的受害者人數統計(2000-2001) 189
附錄五：各種死亡時間定義之推估係數差異檢定結果 192
附錄六：「人」因素統計檢定結果彙整表 194
附錄七：「車」因素統計檢定結果彙整表 200
附錄八：「路及環境」因素統計檢定結果彙整表 203
附錄九：不同資料來源之各年齡層死亡人數(2000-2001) 204
附錄十：死因資料MVA年齡比例及整合資料年齡比例(2000-2001) 206
附錄十一：方法(1)-(5)補正死因資料MVA死亡人數之估測結果(2000-2001) 208
附錄十二：死因資料MVA死亡人數以方法(5)重新分配前後比較(2000-2001) 213

參考文獻

[1] Mathers, C., Vos, T., Stevenson, C., 1999. The burden of disease and injury in Australia. AIHW cat. no. PHE 17. Canberra: Australian Institute of Health and Welfare (AIHW).
[2] Mathers, C.D., Loncar, D., 2005. Updated projections of global mortality and burden of disease, 2002-2030: data sources, methods and results. Evidence and Information for Policy Working Paper, World Health Organization.
[3] Hofman, K., Primack, A., Keusch, G., Hrynkow, S., 2005. Addressing the growing burden of trauma and injury in low- and middle-income countries. American Journal of Public Health, 95, 13-17.
[4] Krug, E.G., Sharma, G.K., Lozano, R., 2000. The global burden of injuries. American Journal of Public Health, 90(4), 523-526.
[5] Scallan, E., Staines, A. Fitzpatrick, P., Laffoy, M., Kelly, A., 2004. Unintentional injury in Ireland: a comparison of mortality and morbidity data. Journal of Public Health, 26(1), 6-7.
[6] Segui-Gomez, M., MacKenzie, E.J., 2003. Measuring the public health impact of injuries. Epidemiologic Reviews, 25, 3-19.
[7] Global Burden of Disease (GBD) 2002 Estimates. (http://www.who.int/healthinfo/bodestimates/en/index.html retrieved 5 Febrary 2008)
[8] Keng, S.H., 2005. Helmet use and motorcycle fatalities in Taiwan. Accident Analysis and Prevention, 37, 349-355.
[9] Inland Transport Committee, Economic Commission For Europe (ITC/ECE), 1993 amendment of Convention on Road Traffic done at Vienna on 8 November 1968.
[10] Mónica Colás Pozuelo, A., Izarzugaza, J., 1996. Follow-up of traffic victims during the 30 days period after the accident (Spain, 1996). A special report of IRTAD (International Road Traffic and Accident Database).
[11] Jacobs, G., and Aero-Thomas, A., Astrop, A., 2000. Estimating global road fatalities. Transport Research Laboratory, UK.
[12] Murray, C.J.L., Lopez, A.D., 1996. The Global Burden of Disease. Cambridge, Mass: Harvard University Press.
[13] Cragle, D.L., Fetcher, A., 1992. Risk factors associated with the classification of unspecified and/or unexplained causes of death in an occupational cohort. American Journal of Public Health, 82(3):455-457.
[14] D'Amico, M., Agozzino, E., Biagino, A., Simonetti, A., Marinelli, P., 1999. Ill-defined and multiple causes on death certificates - a study of misclassification in mortality statistics. European Journal of Epidemiology, 15(2), 41-148
[15] Hijar, M., Chu, L.D., Kraus, J.F., 2000. Cross-national comparison of injury mortality: Los Angeles County, California and Mexico City, Mexico. International Journal of Epidemiology, 29, 715-721.
[16] Lapidus, G., Braddock, M., Schwartz, R., Banco, L., Jacobs, L., 1994. Accuracy of fatal motorcycle-injury reporting on death certificates. Accident Analysis and Prevention, 26 (4), 535-542.
[17] Lu, T.H., Lee, M.C., Chou, M.C., 2000. Accuracy of cause of death coding in Taiwan: types of miscoding and effects on mortality statistics. International Journal of Epidemiology, 29:336-343.
[18] Lu, T.H., Shou, W.Y., Shih, T.P., Lee, M.C., Chou, M.C., Lin, C.K., 2001. Factors associated with errors in death certificate completion: a national study in Taiwan. Journal of Clinical Epidemiology, 54:232-238.
[19] Parker, M., 1996. Mortality inferred from death certificates reflects coroners' practice, not the true mortality. BMJ, 313 (879). (Letter)
[20] Penman, A., 2003. Excess mortality due to diabetes in Mississippi and the estimated extent of underreporting on death certificates. J Miss state Med Assoc, 44 (10), 319-325.
[21] Melse, J.M., Essink-Bot, M.L., Kramers, P.G.N., Hoeymans, N., 2000. A national burden of disease calculation: Dutch disability-adjusted life-years. American Journal of Public Health, 90, 1241-1247.
[22] Mathers, C.D., Vos, T., Lopez, A.D., Salomon, J., Ezzati, M., 2001. National Burden of Disease Studies: A Practical Guide. Edition 2.0. Global Program on Evidence for Health Policy. Geneva: World Health Organization.
[23] Tobias, M., Borman, B., Forbes, G., Hemona, P., 2001. The Burden of Disease and Injury in New Zealand. Public Health Intelligence, Occasional Bulletin No. 1. Wellington: New Zealand, Ministry of Health.
[24] Runyan, C.W., 1998. Using the Haddon matrix: introducing the third dimension. Injury Prevention, 4, 302-307.
[25] World Health Organization, 1979. Road Traffic Accident Statistics. Copenhagen: The Economic Commission for Europe and the WHO.
[26] World Health Organization, 1977. Manual of the International Statistical Classification of Diseases, Injuries, and Causes of Death. Ninth Revision. World Health Organization, Geneva.
[27] Lim, E.P., Chiang, R.H.L., Gao, Y., 1999. Tuple source relational model: a source-aware data model for multidatabases. Data & Knowledge Engineering, 29, 83-114.
[28] Lim, E.P., Chiang, R.H.L., 2004. Accommodating instance heterogeneities in database integration. Decision Support Systems, 38, 213-231.
[29] Zhaoa, H., Ramb, S., 2005. Entity identification for heterogeneous database integration - a multiple classifier system approach and empirical evaluation. Information Systems, 30, 119-132.
[30] Bener, A., Crundall, D., Mohammed, G.A., Maadid, A.L., n.d. The effect of socio-economic development on driver behaviour: A major public health problem. (http://www.psychology.nottingham.ac.uk/IAAPdiv13/ICTTP2004papers2/Performance/BenerC.pdf retrieved 20 April 2008)
[31] Odero, W., Garner, P., Zwi, A., 1997. Road traffic injuries in developing countries: a comprehensive review of epidemiological studies. Tropical Medicine and International Health, 2(5), 445-460.
[32] Huessy, F.B., Perrine, M.W.B., n.d. Economic factors in identifying best practices for reducing road traffic crashes by drinking drivers. (http://www.icadts.org/T2004/pdfs/O142.pdf retrieved 20 April 2008)
[33] García-ferrer,A., De Juan, A., Poncela, P., 2007. The relationship between road traffic accidents and real economic activity in Spain: common cycles. Health Economics, 16(6), 603-626.
[34] Rossi, P., Farchi, S., Chini, F., Camilloni, L., Borgia, P., Guasticchi, G., 2005. Road traffic injuries in Lazio, Italy: A descriptive analysis from an emergency department-based surveillance system. Annals of Emergency Medicine, 46(2), 152-157.
[35] Branas, C.C., Knudson, M.M., 2001. Helmet laws and motorcycle rider death rates. Accident Analysis and Prevention, 33, 641-648.
[36] Muller, A., 2004. Florida's Motorcycle Helmet Law Repeal and Fatality Rates. American Journal of Public Health, 94(4), 556-558.
[37] Evans, L., Frick, M.C., 1988. Seating position in cars and fatality risk. American Journal of Public Health, 78(11), 1456-1458.
[38] Cummings, P., Wells, J.D., Rivara, F.P., 2003. Estimating seat belt effectiveness using matched-pair cohort methods. Accident Analysis and Prevention, 35(1), 143-149.
[39] Viano, D.C., Culver, C.C., Evans, L., Frick, M., Scott, R., 1990. Involvement of older drivers in multivehicle side-impact crashes. Accident Analysis and Prevention, 22(2), 177-188.
[40] Esterlitz, J.R., 1989. Relative risk of death from ejection by crash type and crash mode. Accident Analysis and Prevention, 21(5), 459-468.
[41] Bédard, M., Guyatt, G.H., Stones, M.J., Hirdes, J.P., 2002. The independent contribution of driver, crash, and vehicle characteristics to driver fatalities. Accident Analysis and Prevention, 34(6), 717-27.
[42] Gonzalez, R.P., Cummings, G., Mulekar, M., Rodning, C.B., 2006. Increased mortality in rural vehicular trauma: identifying contributing factors through data linkage. Journal of Trauma-Injury Infection & Critical Care, 61(2), 404-409
[43] Noland, R.B., Quddus, M.A., 2004. Improvements in medical care and technology and reductions in traffic-related fatalities in Great Britain. Accident Analysis and Prevention, 36, 103-113.
[44] Richter, E.D., Barach, P., Friedman, L., Krikler, S., Israeli, A., 2004. Raised speed limits, speed spillover, case-fatality rates, and road deaths in Israel: A 5-year follow-up. American Journal of Public Health, 94(4), 568-574.
[45] Afukaar F.K., Antwi P., Ofosu-Amaah S., 2003. Pattern of road traffic injuries in Ghana: Implications for control. Injury Control and Safety Promotion, 10(1-2), 69-76.
[46] Pérez, C., Cirera, E., Borrell, C., Plasència, A., 2006. Motor vehicle crash fatalities at 30 days in Spain. Gaceta Sanitaria, 20(2), 108-115.
[47] Reynaud, M., Le Breton, P., Gilot, B., Vervialle, F., Falissard, B., 2002. Alcohol is the main factor in excess traffic accident fatalities in France. Alcoholism: Clinical & Experimental Research, 26(12), 1833-1839.
[48] Valent, F., Schiava, F., Savonitto, C., Gallo, T., Brusaferro, S., Barbone, F., 2002. Risk factors for fatal road traffic accidents in Udine, Italy. Accident Analysis and Prevention, 34(1), 71-84.
[49] Shimamur, M., Yamazaki, M., Fujita, G., 2005. Method to evaluate the effect of safety belt use by rear seat passengers on the injury severity of front seat occupants. Accident Analysis and Prevention, 37(1), 5-17.
[50] Yau, K.K.W., 2004. Risk factors affecting the severity of single vehicle traffic accidents in Hong Kong. Accident Analysis and Prevention, 36(3), 333-340.
[51] Zhang, J., Fraser, S., Lindsay, J., Clarke, K., Mao, Y., 1998. Age-specific patterns of factors related to fatal motor vehicle traffic crashes focus on young and elderly drivers. Public Health, 112(5), 289-295.
[52] Kopits, E., Cropper, M., 2005. Traffic fatalities and economic growth. Accident Analysis and Prevention, 37, 169-178.
[53] Peden, M., Toroyan, T., 2005. Counting road traffic deaths and injuries: Poor data should not detract from doing something! Annals of Emergency Medicine, 46(2), 158-160.
[54] Japan National Police Agency, 2002. The Situation of Traffic Accidents Fatalities within 30 Days in Mid 2001. Japan.
[55] Japan National Police Agency, 2004. The Situation of Traffic Accidents Fatalities within 30 Days in Mid 2003. Japan.
[56] Japan National Police Agency, 2007. The Situation of Traffic Accidents Fatalities within 30 Days in Mid 2006. Japan.
[57] Clauser, S.B., 2004. Use of cancer performance measures in population health: A macro-level perspective. Journal of the National Cancer Institute Monographs, 33, 142-154.
[58] Mathers, C.D., Vos, E.T., Stevenson, C.E., Begg, S.J., 2000. The Australian burden of disease study: Measuring the loss of health from diseases, injuries and risk factors. The Medical Journal of Australiam, 172, 592-296.
[59] Mariotti, S., D'Errigo, P., Mastroeni, S., Freeman, K., 2003. Years of life lost due to premature mortality in Italy. European Journal of Epidemiology, 18 (6), 513-521.
[60] Kissimova-Skarbek, K., Pach, D., Placzkiewicz, E., Szurkowska, M., Szybinski, Z., 2001. Evaluation of the burden of diabetes in Poland. Pol Arch Med Wewn, 106 (3), 867-873.
[61] Hyder, A.A., Morrow, R.H., 2000. Applying burden of disease methods in developing countries: A case study from Pakistan. American Journal of Public Health, 90 (8), 1235-1240.
[62] Bradshaw, D., Groenewald, P., Laubscher, R., Nannan, N., Nojilana, B., Norman, R., Pieterse, D., Schneider, M., Bourne, D.E., Timaeus, I.M., Dorrington, R., Johnson, L., 2003. Initial burden of disease estimates for South Africa, 2000. S Afr Med J, 93 (9), 682-688.
[63] Würthwein, R., Gbangou, A., Sauerborn, R., Schmidt, C.M., 2001. Measuring the local burden of disease - a study of years of life lost in sub-Saharan Africa. International Journal of Epidemiology, 30, 501-508.
[64] Moshiro, C., Mswia, R., Alberti, K.G., Whiting, D.R., Unwin, N., 2001. The importance of injury as a cause of death in sub-Saharan Africa: results of a community-based study in Tanzania. Public Health, 115 (2), 96-102.
[65] Kruijshaar, M., Barendregt, J.J., the European Disability Weights Group, 2004. The breast cancer related burden of morbidity and mortality in six European countries. European Journal of Public Health, 14, 141-146.
[66] Burnet, N.G., Jefferies, S.J., Benson, R.J., Hunt, D.P., Treasure, F.P., 2005. Years of life lost (YLL) from cancer is an important measure of population burden--and should be considered when allocating research funds. J Cancer, 92 (2), 241-245.
[67] Olesen, J., Leonardi, M., 2003. The burden of brain diseases in Europe. Eur J Neurol, 10 (5), 471-47.
[68] Yang, B.H., Bray, F.I., Parkin, D.M., Sellors, J.W., Zhang, Z.F., 2004. Cervical cancer as a priority for prevention in different world regions: An evaluation using years of life lost. Int J Cancer, 109 (3), 418-424.
[69] Indrayan, A., Wysocki, M.J., Kumar, R., Chawla, A., Singh, N., 2002. Estimates of the years-of-life-lost due to the top nine causes of death in rural areas of major states in India in 1995. Natl Med J India, 15 (1), 7-13.
[70] Garcia, M.C., Candel, J.P., Lorenzo, I.P.-R., Maleras, R.G., Heras, C.A., 2004. Burden of disease in Spanish population under 15 years old in 1999. Med Clin (Barc), 122 (10), 369-371.
[71] Cortes, M., Pereira, J., Pena-Rey, I., Genova, R., Amela, C., 2004. Disease burden due to vaccinable diseases in the Spanish population aged less than 15 years old. Gac Sanit, 18 (4), 312-320.
[72] Lozano-Ascencio, R., Frenk-Mora, J., Gonzalez-Block, M.A., 1996. Burden of disease in the aged, Mexico, 1994. Salud Publica Mex, 38 (6), 419-429.
[73] Nielsen, L.C., Hansen, K.S., Nielsen, U.R., 2004. Burden of mortality in Greenland - today and tomorrow. Int J Circumpolar Health, 63 (Suppl 2), 86-92.
[74] Cohen, J., 2000. The global burden of disease study: a useful projection of future global health? Journal of Public Health Medicine, 22 (4), 518-524.
[75] Benavides, F.G., Bolumar, F., Peris, R., 1989. Quality of Death certificates in Valencia, Spain. American Journal of Public Health, 79 (10), 1352-1354.
[76] Lu, T.H., Lee, M.C., Chou, M.C., 1998. Trend in injury mortality among adolescents in Taiwan, 1965-94. Injury Prevention, 4(2): 111-115.
[77] Williams, A.F., 1999. The Haddon matrix: its contribution to injury prevention and control. In McClure, Roderick, Eds. Proceedings: Third National Conference on Injury Prevention and Control, pp. 15-16, Brisbane, Queensland. (http://eprints.qut.edu.au/archive/00010081/01/10081.pdf retrieved 20 April 2008)
[78] Barnett, D.J., Balicer, R.D., Blodgett, D., Fews, A.L., Parker, C.L., Links, J.M., 2005. The Application of the Haddon Matrix to Public Health Readiness and Response Planning. Environ Health Perspect, 113(5), 561-566. (http://www.pubmedcentral.nih.gov/picrender.fcgi?artid=1257548&blobtype=pdf retrieve 20 April 2008)
[79] Annual Statistical Report 2006. Safety Net: Building the European Road Safety Observatory, Workpackage 1 - Task 3, Deliverable No. D 1.9. (http://www.erso.eu retrieved 25 December 2007)
[80] National Highway Traffic Safety Administration 2007. Traffic Safety Facts 2005. DOT HS 810 631. NHTSA, U.S. Department of Transportation.
[81] Sjögren, H., Björnstig, U., Eriksson, A., Öström, M., 1996. Differences between older and younger drivers; characteristics of fatal car crashes and driver injuries. Safety Science, 23(1), 63-77.
[82] Lardelli-Claret, P., Jiménez-Moleón, J.J., Luna-del-Castillo, J.D., Bueno-Cavanillas, A., 2006. Individual factors affecting the risk of death for rear-seated passengers in road crashes. Accident Analysis and Prevention, 38(3), 563-566.
[83] Smith, K.M., Cummings, P., 2004. Passenger seating position and the risk of passenger death or injury in traffic crashes. Accident Analysis and Prevention, 36(2), 257-260.
[84] Pang, J.M., Civil, I., Ng, A., Adams, D., Koelmeyer, T., 2008. Is the trimodal pattern of death after trauma a dated concept in the 21st century? Trauma deaths in Auckland 2004. Injury, 39, 102-106.
[85] Allard, R., 1982. Excess mortality from traffic accidents among elderly pedestrians living in the inner city. American Journal of Public Health, 72(8), 853-854.
[86] Preusser, D.F., Williams, A.F., Ferguson, S.A., Ulmer, R.G., Weinstein, H.B., 1998. Fatal crash risk for older drivers at intersections. Accident Analysis and Prevention, 30 (2), 151-159.
[87] Rosenbloom, S., 2001. Sustainability and automobility among the elderly: an international assessment. Transportation, 28, 375-408.
[88] Stella, J., Cooke, C., Sprivulis, P., 2002. Most head injury related motorcycle crash deaths are related to poor riding practices. Emergency Medicine Australasia, 14 (1), 58-61.
[89] Gonzales, M.M., Dickinson, L.M., DiGuiseppi, C., Lowenstein, S.R., 2005. Student drivers: a study of fatal motor vehicle crashes involving 16-year-old drivers. Ann Emerg Med, 45(2), 140-146.
[90] Assailly, J.P., 1999. Car fatalities, driver training and licensing in European countries - a comparative study. IATSS Research, 23(1).
[91] Demetriades, D., Kimbrell, B., Salim, A., Velmahos, G., Rhee, P., Preston, C., Gruzinski, G., Chan, L., 2005. Trauma deaths in a mature urban trauma system: Is "Trimodal" distribution a valid concept? Journal of the American College of Surgeons, 201(3), 343-348.
[92] Tien, H., Chu, P.T.Y., Brenneman, F., 2004. Causes of death following multiple trauma. Current Orthopaedics, 18, 304-310.
[93] Chiara, O., Scott, J.D., Cimbanassi, S., Marini, A., Zoia, R., Rodriguez, A., Scalea, T., et al., 2002. Trauma deaths in an Italian urban area: an audit of pre-hospital and in-hospital trauma care. Injury, 33(7) 553-562.
[94] Demetriades, D., Murray, J., Charalambides, K., Alo, K., Velmahos, G., Rhee, P., Chan, L., 2004. Trauma fatalities time and location of hospital deaths. Journal of the American College of Surgeons, 198(1), 20-26.
[95] Garber, B.G., Hebert, P.C., Wells, G., Pham, B., MMath, Yelle, J.D., 1997. Differential performance of TRISS-Like in early and late blunt trauma deaths. The Journal of Trauma: Injury, Infection, and Critical Care, 43(1), 1-7.
[96] Di Bartolomeo, S., Sanson, G., Micheluttoa, V., Nardi, G., Burba, I., Francescutti, C., Lattuada, L., Scian, F., 2004. Epidemiology of major injury in the population of Friuli Venezia Giulia - Italy. Injury, 35, 391-400.
[97] Wyatt, J.P., Beard, D., Gray, A., Busuttil, A., Robertson, C.E., 1996. Rate, causes and prevention of deaths from injuries in south-east Scotland. Injury, 27(5) 337-340.
[98] Acosta, J.A., Yang, J.C., Winchell, R.J., Simons, R.K., Fortlage, D.A., Hollingsworth-Fridlund, P., Hoyt, D.B., 1998. Lethal injuries and time to death in a level I trauma center. Journal of the American College of Surgeons, 186, 528-533.
[99] Atkins, R.M., Turner, W.H., Duthie, R.B., Wilde, B.R., 1988. Injuries to pedestrian in traffic accidents. BMJ, 297, 1431-1434. (http://www.pubmedcentral.nih.gov/picrender.fcgi?artid=1835175&blobtype=pdf retrieved 20 April 2008)
[100] Harruff, R.C., Avery, A., Alter-Pandya, A.S., 1998. Analysis of circumstances and injuries in 217 pedestrian traffic fatalities. Accident Analysis and Prevention, 30 (1), 11-20.
[101] Koushki, P.A., Bustan, M.A., Kartam, N., 2003. Impact of safety belt use on road accident injury and injury type in Kuwait. Accident Analysis and Prevention, 35(2), 237-241.
[102] Coley, A., Partridge, R., Kaylor, C., Shapiro, M., 2002. The effect of seatbelt use on injury patterns, disposition, and hospital charges for elders. Academic Emergency Medicine, 9(12), 1411-1416.
[103] Hitosugi, M., Takatsu, A., 2000. Injury severity in motor vehicle occupants. Legal Medicine, 2(3), 166-170.
[104] Wisborg, T., Høylo, T., Siem, G., 2003. Death after injury in rural Norway: high rate of mortality and prehospital death. Acta Anaesthesiologica Scandinavica, 47(2), 153-156.
[105] Newcombe, H.B., 1988. Handbook of Record Linkage: Methods for Health and Statistical Studies, Administration, and Business, Oxford University Press, Oxford.
[106] Fellegi, I.P., Sunter, A.B., 1969. A theory of record linkage. Journal of the American Statistical Association, 64(328), 1183-1210.
[107] National Highway Traffic Safety Administration, 1996. The Crash Outcome Data Evaluation System (CODES). DOT HS 808 338, NHTSA, U.S. Department of Transportation. (http://www.nrd.nhtsa.dog.gov/departments/nrd-30/ncsa/codes.html. retrieved 30 September 2004)
[108] Carol, G., Diana, R., John, B., 2002. Inside the Western Australian Data Linkage System. Symposium on Health Data Linkage. 20-21 March 2002 Tusculum House Auditorium Potts Point, Sydney, NSW.
[109] Vijaya, S., Toni, M. H., Michael, A., and Ric, M., 2002. Linkage of the Victorian Admitted Episodes Dataset, Symposium on Health Data Linkage, 20-21 March 2002 Tusculum House Auditorium Potts Point, Sydney, NSW.
[110] Gill, L.E., and Baldwin, J.A., 1987. Methods and technology of record linkage: some practical considerations, Textbook of medical record linkage, Oxford University press.
[111] Allen, S., Zhu, S., Sauter, C., Layde, P., Hargarten, S., 2006. A comprehensive statewide analysis of seatbelt non-use with injury and hospital admissions: New data, old problem. Academic Emergency Medicine, 13(4), 427-434.
[112] Muelleman, R.L., Wadman, M.C., Tran, T.P., Ullrich, F., Anderson, J.R., 2007. Rural motor vehicle crash risk of death is higher after controlling for injury severity. Journal of Trauma-Injury Infection & Critical Care, 62(1), 221-226.
[113] Rowland, J., Rivara, F., Salzberg, P., Soderberg, R., Maier, R., Koepsell T., 1996. Motorcycle helmet use and injury outcome and hospitalization costs from crashes in Washington State. American Journal of Public Health, 86(1), 4
[114] Grossman, D.C., Hart, L.G., Rivara, F.P., Maier, R.V., Rosenblatt, R., 1995. From roadside to bedside: The Regionalization of trauma care in a remote rural county. Journal of Trauma-Injury Infection & Critical Care, 38(1), 14-21.
[115] Auman, K.M., Kufera, J.A., Ballesteros, M.F., Smialek, J.E., Dischinger, P.C., 2002. Autopsy Study of Motorcyclist Fatalities: The Effect of the 1992 Maryland Motorcycle Helmet Use Law. American Journal of Public Health, 92(8), 1352-1355.
[116] Mango, N., Garthe, E., 2007. Statewide tracking of crash victims' medical system utilization and outcomes. Journal of Trauma-Injury Infection & Critical Care, 62(2), 436-460.
[117] Amoros, E., Martin, J.L., Laumon, B., 2006. Under-reporting of road crash casualties in France. Accident Analysis and Prevention, 38(4), 627-635.
[118] Alsop, J., Langley, J., 2001. Under-reporting of motor vehicle traffic crash victims in New Zealand. Accident Analysis and Prevention, 33(3), 353-359.
[119] Singleton, M., Qin, H., Luan, J., 2004. Factors associated with higher levels of injury severity in occupants of motor vehicles that were severely damaged in traffic crashes in Kentucky, 2000-2001. Traffic Injury Prevention, 5(2), 144-150.
[120] Langley, J.D., Dow, N., Stephenson, S., Kypri, K., 2003. Missing cyclists. Injury Prevention, 9(4), 376-379.
[121] Knight, S., Olson, L.M., Cook L.J., Mann, N.C., Corneli, H.M., Dean, J.M., 2003. Against all advice: an analysis of out-of-hospital refusals of care. Annals of Emergency Medicine, 42(5), 689-696.
[122] Rosman, D.L., 2001. The western Australian road injury database (1987-1996): ten years of linked police, hospital and death records of road crashes and injuries. Accident Analysis and Prevention, 33(1), 81-88.
[123] Knight, S., Cook, L.J., Nechodom, P.J., Olson, L.M., Reading, J.C., Dean, J.M., 2001. Shoulder belts in motor vehicle crashes: a statewide analysis of restraint efficacy. Accident Analysis and Prevention, 33(1), 65-71.
[124] Cercarelli, L.R., Rosman, D.L., Ryan, G.A., 1996. Comparison of accident and emergency with police road injury data. Journal of Trauma-Injury Infection & Critical Care, 40(5), 805-809.
[125] World Health Organization, 1990. International Statistical Classification of Diseases and Related Health Problems. 10th Revision. World Health Organization, Geneva.
[126] Saudia, A., Moore, F.A., Moore, E.E., et al. 1995. Epidemiology of trauma deaths: A reassessment. Journal of Trauma-Injury Infection & Critical Care, 38, 185-193.
[127] Global Road Safety Partnership, 2007. Drinking and Driving: A Road Safety Manual for Decision-makers and Practitioners. Geneva, Global Road Safety Partnership.
[128] Cooper, 1990. Differences in accident characteristics among elderly drivers and between elderly and middle-aged drivers. Accident Analysis and Prevention, 22, 499-508.
[129] Hakamies-Blomqvist, L., 1993. Fatal accidents of older drivers. Accident Analysis and Prevention, 25, 19-27.
[130] Stamatiadis, N., Deacon, J.A., 1995. Trends in highway safety: effects of an aging population on accident propensity. Accident Analysis and Prevention, 27, 443-459.
[131] McGwin, Jr.G., Brown, D.B., 1999. Characteristics of traffic crashes among young, middle-aged, and older drivers. Accident Analysis and Prevention, 31, 181-198.
[132] Blincoe, L., Seay, A., Zaloshnja, E., Miller, T., Romano, E., Luchter, S., Spicer., R., 2002. The economic impact of motor vehicle crashes, 2000. National Highway Traffic Safety Administration DOT HS 809 446.
[133] Broughton, J., 2000. Survival times following road accidents. Transport Research Laboratory, Report 467, Crowthorne, UK.
[134] Nikolic, S., Micic, J., Mihailovic, Z., 2001. Correlation between survival time and severity of injuries in fatal injuries in traffic accidents. Srp Arh Celok Lek, 129 (11-12), 291-295.
[135] Calder, S.J., Anderson, G.H., Gregg, P.J., 1996. Certification of cause of death in patients dying soon after proximal femoral fractures. BMJ, 312, 1515.
[136] Clark, D.E., Wildner, M., Bergmann, K.E., 2000. Injury Mortality in East Germany. American Journal of Public Health, 90(11), 1761-1764.
[137] La Torre, G., Bertazzoni, G., Zotta, D., Van Beeck, E., Ricciardi, G., 2002. Epidemiology of accidents among users of two-wheeled motor vehicles: A surveillance study in two Italian cities. The European Journal of Public Health, 12(2), 99-103. (http://eurpub.oxfordjournals.org/cgi/reprint/12/2/99 retrieved 20 April 2008)
[138] Servadei, F., Begliomini, C., Gardini, E., Giustini, M., Taggi, F., Kraus, J., 2003. Effect of Italy's motorcycle helmet law on traumatic brain injuries. Injury Prevention, 9(3), 257-260.
[139] Evans L., 1996. Safety-belt effectiveness: the influence of crash severity and selective recruitment. Accident Analysis and Prevention, 28(4), 423-33.
[140] Brown, C., Cline, D., 2001. Factors affecting injury severity to rear-seated occupants in rural motor vehicle crashes. The American Journal of Emergency Medicine, 19(2), 93-98.
[141] Lam, L.T., 2003. A neglected risky behavior among children and adolescents: underage driving and injury in New South Wales, Australia. Journal of Safety Research, 34(3), 315-320.
[142] Liu, J.Y., Mooney, D.P., Meyer, M.M., Shorter, N.A., 1998. Teenage driving fatalities. J Pediatr Surg, 33(7), 1084-1088.
[143] University of Maryland, 2007. Comparison of mortality, injury severity and injury patterns between near versus far occupants of lateral crashes. In: 2007 CIREN Presentations, March 2007 CIREN Public Meeting, Washington, DC. (http://www.nhtsa.dot.gov/portal/site/nhtsa/menuitem.1c5bf5af32c6dfd24ec86e10dba046a0/ retrieved 22 February 2008)
[144] Dischinger, P.C., Siegel, J.H., Ho, S.M., Kufera, J.A., 1998. Effect of change in velocity on the development of medical complications in patients with multisystem trauma sustained in vehicular crashes. Accident Analysis and Prevention, 30, 831-837.
[145] Runge, J.W., 2003. Public Health and the Epidemic of Motor Vehicle Crashes. In: American Public Health Association Meeting, November 18, 2003.

指導教授

董基良、鄭銘章
(Ji-Liang Doong、Ming-Chang Jeng)

審核日期

2008-7-1

推文