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Background In the age of big data in healthcare, automated comparison of medical diagnoses in large scale databases is a key issue. Our objectives were: 1) to formally define and identify cases of independence between last hospitalization main diagnosis (MD) and death registry underlying cause of death (UCD) for deceased subjects hospitalized in their last year of life; 2) to study their distribution according to socio-demographic and medico-administrative variables; 3) to discuss the interest of this method in the specific context of hospital quality of care assessment. Methods 1) Elaboration of an algorithm comparing MD and UCD, relying on Iris, a coding system based on international standards. 2) Application to 421,460 beneficiaries of the general health insurance regime (which covers 70% of French population) hospitalized and deceased in 2008-2009. Results 1) Independence, was defined as MD and UCD belonging to different trains of events leading to death 2) Among the deaths analyzed automatically (91.7%), 8.5% of in-hospital deaths and 19.5% of out-of-hospital deaths were classified as independent. Independence was more frequent in elder patients, as well as when the discharge-death time interval grew (14.3% when death occurred within 30 days after discharge and 27.7% within 6 to 12 months) and for UCDs other than neoplasms. Conclusion Our algorithm can identify cases where death can be considered independent from the pathology treated in hospital. Excluding these deaths from the ones allocated to the hospitalization process could contribute to improve post-hospital mortality indicators. More generally, this method has the potential of being developed and used for other diagnoses comparisons across time periods or databases. [ABSTRACT FROM AUTHOR]

Background: Nationwide evaluations of the burden of stroke are scarce. We aimed to evaluate trends in stroke and transient ischemic attack (TIA) hospitalization, in-hospital case fatality rates (CFRs) and mortality rates in France during 2000–2006. Methods: Hospitalizations for stroke and TIA were determined from National Hospital Discharge Diagnosis Records that used the International Classification of Disease, 10th revision, codes I60, I61, I63, I64, G45, G46. CFRs and mortality rates were estimated from the national death certificates database. Results: The total number of stays for stroke increased between 2000 and 2006 (88,371 vs. 92,118) contrasting with a decrease in that for TIA. The age-standardized (European population) hospitalization rates for TIA decreased in men (52.2 vs. 44.5/100,000/year, p = 0.002), whereas they remained stable in women (32.4 vs. 31.0/ 100,000/year). Concerning stroke, a decrease in hospitalization rates was observed in both men (from 135.3 to 123.4/ 100,000/year, p < 0.001) and women (from 85.1 to 80.7, p < 0.001). Whatever the age group and the sex, a sharp decrease in in-hospital stroke CFRs was noted. In addition, a 23% decrease in mortality rates was observed. This decrease was greater in patients >65 years. Conclusion: Our results demonstrate a decline in hospitalization rates for stroke, and in both stroke CFRs and mortality rates between 2000 and 2006. Improvements in stroke prevention and acute stroke care may have contributed to these results, and may have been initiated by recent advances in health policy with regard to this disease in France. Copyright © 2010 S. Karger AG, Basel [ABSTRACT FROM AUTHOR]