T Gross1, F Amsler2. 1. Traumatologie, Kantonsspital Aarau, Tellstr. 1, 5001, Aarau, Switzerland. thomas.gross@ksa.ch. 2. Amsler Consulting, Basel, Switzerland.
Abstract
BACKGROUND: Given the lack of data in the available literature, we were interested in the disability rate and corresponding insurance costs following multiple trauma in Switzerland. The possible impact of demographic, traumatic and hospital process factors as well as subjective and objective longer-term outcome variables on insurance data acquired were examined. MATERIAL AND METHODS: Following multiple trauma the clinical and socioeconomic parameters in 145 survivors of working age were investigated over 2 and 4 years post-injury at a Swiss trauma center (University Hospital Basel). The correlation with the corresponding data provided by the largest Swiss accident insurance company (Suva, n = 63) was tested by univariate and multivariate analysis and patients insured at Suva were compared with those insured elsewhere (n = 82). RESULTS: The mean level of disability in this cohort of multiple trauma patients insured at Suva was 43 %. The insurer expected costs of more than 1 million Swiss Francs per multiply injured patient. In univariate analysis, only discrete correlations (maximum r = 0.37) were found with resulting disability, but significant correlations were found in subsequent multivariate testing most of all for age and the sequential organ failure assessment (SOFA 11 % and 15 % predictive capacity, p = 0.001; corrected R2 = 0.26). Among variables of longer-term outcome the Euro Quality of Life Group health-related quality of life in five dimensions (EQ-5D) correlated almost as highly with the objective extent of disability as did the reduced capacity to work declared by the patients (0.64 and 0.7, respectively). CONCLUSION: The estimation of long-term disability following multiple trauma based on primary data following injury appears to be possible only to a limited extent. Given the clinical and socioeconomic relevance, comparable analyses are necessary by including all insurance providers involved.
BACKGROUND: Given the lack of data in the available literature, we were interested in the disability rate and corresponding insurance costs following multiple trauma in Switzerland. The possible impact of demographic, traumatic and hospital process factors as well as subjective and objective longer-term outcome variables on insurance data acquired were examined. MATERIAL AND METHODS: Following multiple trauma the clinical and socioeconomic parameters in 145 survivors of working age were investigated over 2 and 4 years post-injury at a Swiss trauma center (University Hospital Basel). The correlation with the corresponding data provided by the largest Swiss accident insurance company (Suva, n = 63) was tested by univariate and multivariate analysis and patients insured at Suva were compared with those insured elsewhere (n = 82). RESULTS: The mean level of disability in this cohort of multiple traumapatients insured at Suva was 43 %. The insurer expected costs of more than 1 million Swiss Francs per multiply injured patient. In univariate analysis, only discrete correlations (maximum r = 0.37) were found with resulting disability, but significant correlations were found in subsequent multivariate testing most of all for age and the sequential organ failure assessment (SOFA 11 % and 15 % predictive capacity, p = 0.001; corrected R2 = 0.26). Among variables of longer-term outcome the Euro Quality of Life Group health-related quality of life in five dimensions (EQ-5D) correlated almost as highly with the objective extent of disability as did the reduced capacity to work declared by the patients (0.64 and 0.7, respectively). CONCLUSION: The estimation of long-term disability following multiple trauma based on primary data following injury appears to be possible only to a limited extent. Given the clinical and socioeconomic relevance, comparable analyses are necessary by including all insurance providers involved.
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