Of greatest clinical concern is the loss of independence

and mortality risk following hip fracture and low treatment rates. Our findings are consistent with prior estimates [1, 31–34] and emphasize the urgent need to AZD1152 better manage osteoporosis and develop targeted interventions to reduce hip fracture risk. We found that only 10 % (men) to 32 % (women) of patients filled an osteoporosis treatment prior to fracture, and this increased only to 22 % of men and 44 % of women within the year after hip fracture. The Ontario Ministry of Health and Long-Term Care funded a post-fracture care strategy that started to screen patients in fracture clinics in 2007 and an intervention among small community hospitals in 2008—both aim to improve post-fracture osteoporosis management [35, 36]. Post-fracture this website testing and treatment rates may thus have improved in recent years, and our results may inform cost-effectiveness analyses of interventions to reduce hip fracture risk.

We identified that 24 % of women and 19 % of men living in the community at the time of fracture entered a long-term care facility, and 22 % of women and 33 % of men died within the first year following hip fracture. Our results also identify that death remained elevated into the second year post-fracture, a finding previously been shown to persist for up to 5 to 10 years post-fracture [3, 32, 37]. However, the underlying contribution of fracture vs. underlying frailty towards mortality next post-hip fracture remains uncertain. While there is a growing body of literature evaluating sex-related differences in osteoporosis [38, 39], understanding sex differences in mortality following

hip fractures warrants further study. There are study limitations worth noting. First, although our hip and non-hip fracture cohorts were well matched, matching could only be achieved based on observed variables. Unmeasured factors such as frailty could be associated with hip fracture risk and subsequent health-care utilization and mortality. We therefore may have overestimated the attributable costs associated with hip fracture by insufficient matching on underlying frailty. Second, while there is a significant value in health-care utilization data to estimate health-care resource use, it is possible that some hip fractures or costs were not identified. Nonetheless, hip fracture hospitalization codes are one of the most reliable hospital www.selleckchem.com/products/selonsertib-gs-4997.html diagnoses [9], and overall database validity has been thoroughly described in literature [15]. Prescription drug costs may also be underestimated as drugs dispensed in hospital are not captured in the ODB pharmacy claims; however, they are accounted for in the cost per weighted hospital case and thus included in the hospitalization cost.