| Popis: |
Background: Osteoporosis is a growing public health concern due to its rising prevalence and excess morbidity and mortality. Automated patient registries have gained great importance in health and disease management of major chronic diseases, but are rarely used in osteoporosis. Objectives: To construct an automated, population-based registry of osteoporosis. Setting: The electronic medical records and pharmacy databases of a 2 million member health organization in Israel (Maccabi Healthcare Services). Methods: Included in the registry were adults who were diagnosed with osteoporosis diagnosis, had major osteoporotic fractures, or purchased relevant medications, between 2000 and 2013. In addition, we included patients with low bone density as extracted from over 140,000 measurements reports, using an automated optical character recognition (OCR) system. Two-thirds of the cases were validated by more than one inclusion criterion. Results: A total of 118,141 osteoporosis patients were identified. The point prevalence of osteoporosis among members aged 50 or above in 2013 was 19%. The mean age at registry entry was 62 (SD=12) and 66 (SD=14) years for females and males, respectively. The highest annual risk of developing osteoporosis (27 per 1000) was recorded among females aged 65-75. In 28% of the patients, there was no indication of treatment with osteoporosis therapy. Conclusions: To the best of our knowledge, this is one of the first real-world automated registries of osteoporosis. Similar registries may provide valuable data for real-time monitoring of trends, quality of care, and outcome research in osteoporosis and its complications. |
