Evaluating Trauma Management Performance in Europe: A Multiple-Layer Data Envelopment Analysis Model

Trauma management (TM) concerned with the medical treatment of injuries resulting from road crashes is considered key in avoiding preventable death and disability and in reducing the severity and suffering caused by the injury. To understand the concept of TM better and to evaluate the level of overall performance in different countries, a hierarchical set of TM indicators is developed and subsequently combined into an overall index. Data envelopment analysis (DEA) is explored, and a multiple-layer DEA model is developed to reflect the hierarchical structure of the indicators. With 17 TM performance indicators related to emergency medical services and permanent medical facilities, the most optimal TM index score is computed for 21 European countries. The weights assigned to the indicators of each layer of the hierarchy are deduced, to provide insight into the critical aspects of the prevalent TM system. In addition, country groups in accordance with the index score are evaluated, and a particular set of benchmark countries is identified for those countries with relatively poor performance.

[1]  Geert Wets,et al.  Road safety performance evaluation based on a multiple layer data envelopment analysis model , 2009 .

[2]  Da Ruan,et al.  Data envelopment analysis based decision model for optimal operator allocation in CMS , 2005, Eur. J. Oper. Res..

[3]  John E. Beasley,et al.  Restricting Weight Flexibility in Data Envelopment Analysis , 1990 .

[4]  A D Redmond,et al.  Are pre-hospital deaths from accidental injury preventable? , 1994, BMJ.

[5]  Geert Wets,et al.  Integrating Rough Sets with Neural Networks for Weighting Road Safety Performance Indicators , 2009, RSKT.

[6]  Geert Wets,et al.  A hybrid system of neural networks and rough sets for road safety performance indicators , 2010, Soft Comput..

[7]  Geert Wets,et al.  Combining road safety information in a performance index. , 2008, Accident; analysis and prevention.

[8]  A. U.S.,et al.  Measuring the efficiency of decision making units , 2003 .

[9]  Geert Wets,et al.  A generalized multiple layer data envelopment analysis model , 2009 .

[10]  Stefano Tarantola,et al.  Handbook on Constructing Composite Indicators: Methodology and User Guide , 2005 .

[11]  Yongjun Shen,et al.  Development of a composite road safety performance indicator based on neural networks , 2008, 2008 3rd International Conference on Intelligent System and Knowledge Engineering.

[12]  Robert B. Noland,et al.  A REVIEW OF THE IMPACT OF MEDICAL CARE AND TECHNOLOGY IN REDUCING TRAFFIC FATALITIES , 2004 .

[13]  Russell G. Thompson,et al.  The role of multiplier bounds in efficiency analysis with application to Kansas farming , 1990 .

[14]  Toru Nakamura WHITE PAPER, European transport policy for 2010 : time to decide , 2004 .

[15]  R. Dyson,et al.  Reducing Weight Flexibility in Data Envelopment Analysis , 1988 .

[16]  A. Charnes,et al.  The non-archimedean CCR ratio for efficiency analysis: A rejoinder to Boyd and Färe☆ , 1984 .

[17]  Geert Wets,et al.  Benchmarking road safety: lessons to learn from a data envelopment analysis. , 2009, Accident; analysis and prevention.

[18]  Elke Hermans,et al.  A methodology for developing a composite road safety performance index for cross-coountry comparison , 2009 .

[19]  Deliverable D 3 . 11 b : Safety Performance Indicators for Trauma Management : Theory Update , 2008 .

[20]  Laurens Cherchye,et al.  Creating composite indicators with DEA and robustness analysis: the case of the Technology Achievement Index , 2006, J. Oper. Res. Soc..

[21]  C N Mock,et al.  Low utilization of formal medical services by injured persons in a developing nation: health service data underestimate the importance of trauma. , 1997, The Journal of trauma.

[22]  Walter Buylaert Reducing the severity of road injuries through post impact care. , 1999 .

[23]  Geert Wets,et al.  Describing the Evolution in the Number of Highway Deaths by Decomposition in Exposure, Accident Risk, and Fatality Risk: , 2006 .