In addition to those already mentioned, several other study limit

In addition to those already mentioned, several other study limitations are worth noting. First, we studied women in a single

province of Canada that uses provincial-specific claim codes for outpatient physician services (OHIP claims). However, given that the OHIP diagnostic code for osteoporosis (733) is essentially the same as the ICD-9-CM code of 733.0, we believe that our results will generalize to other jurisdictions that use ICD-9-CM codes in the outpatient setting. Similarly, although we used provincial-specific procedural codes to identify DXA testing, Selleckchem GDC-973 our results are expected to generalize to other jurisdictions that operate on a fee-for-service basis. Second, our results are most applicable to use of bisphosphonates, as we had few exposures to nasal calcitonin or raloxifene

and no exposure to teriparatide or zoledronic acid. Finally, by using only the most recent DXA test to define DXA-document osteoporosis, we may have misclassified some patients whose BMD improved with therapy yet had been classified as osteoporotic on a prior DXA. Despite limitations, our study has many strengths. We studied a broad sample of older women residing within different regions of Ontario, and the prevalence of osteoporosis in learn more our study is consistent with age-stratified estimates for North American women [17–19]. We therefore believe that our study results are highly representative of the ability of claims data to identify quality indicators of osteoporosis management among older women in Ontario, and that our results may generalize to other jurisdictions that use healthcare administrative claims

for billing purposes. In conclusion, healthcare NVP-BSK805 cost utilization data may be useful as quality indicators of the assessment of DXA testing and osteoporosis pharmacotherapy (care processes), with minimal measurement error in women over 65 years of age. However, medical PTK6 and pharmacy claims do not provide a good means for identifying women with underlying osteoporosis. Acknowledgements This research was supported by the Canadian Institutes of Health Research (CIHR, CPO94434) and a University of Toronto Connaught Fund Start-Up Award. Dr. Cadarette holds a CIHR New Investigator Award in the Area of Aging and Osteoporosis (MSH95364), and Dr. Jaglal is the Toronto Rehabilitation Institute Chair at the University of Toronto. Authors acknowledge contributions with data linkage by Nelson Chong and statistical analysis by Jin Luo at the Institute for Clinical Evaluative Sciences. We also acknowledge Brogan Inc. for providing access to drug identification numbers that were used to identify relevant pharmacy claims. This study was supported by the Institute for Clinical Evaluative Sciences (ICES), a non-profit research corporation funded by the Ontario Ministry of Health and Long-Term Care (MOHLTC). The opinions, results, and conclusions are those of the authors and are independent from the funding sources.

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