LAUSR

Summary Knowledge about risk factors of mortality after hip fracture might encourage prevention and further improvements in care. This study identified patient risk factors as well as hospital and regional characteristics associated with a decreased risk. Variation of mortality was largest on patient level and modest on hospital and regional level. Introduction Among numerous studies analyzing mortality as worst consequence after hip fracture, the majority focused on patient level and fewer on hospital and regional level. Comprehensive knowledge about contributing factors on all levels might help to reveal relevant inequalities, which would encourage prevention and further improvements in care. This study aimed at investigating variation of mortality after hip fracture on patient, hospital, and regional level in Germany. Methods We performed a retrospective cohort study on hip fracture patients aged 65 and older using statutory health insurance claims data from Jan 2009 through Dec. 2012 and additional information from the Federal Statistical Office Germany. Regions were classified based on two-digit postal code. We applied a multilevel Cox proportional hazard model with random intercepts on hospital and regional level to investigate the risk factors for mortality within 6 and 12 months after hip fracture. Results The dataset contained information on 123,119 hip fracture patients in 1014 hospitals in 95 German regions. Within 6/12 months, 20.9%/27.6% of the patients died. On patient level, male sex, increasing age, increased pre-fracture care level, and increasing comorbidity were associated with an increased hazard of mortality. Hospitals with increasing hip fracture volume or with orthogeriatric co-management and regions with increased population density were associated with a decreased hazard. Variation was largest on patient level and rather modest on hospital and regional level. Conclusions The identification of patient-related risk factors enables prognosticating mortality after hip fracture. After adjusting for those, variation seemed to be attributable rather to hospitals than to regions.