Artikel
Osteoporotic fracture diagnosis setting and consequences after sustaining a fracture: a real-world evidence study using German claims data
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Veröffentlicht: | 26. Oktober 2021 |
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Objectives: The aim of this study was to analyze the setting of osteoporosis diagnosis, the extent of nursing home utilization and death rates after sustaining a major osteoporotic fracture (MOF) in Germany.
Methods: Retrospective analysis of German claims data. The database, owned by Gesundheitsforen Leipzig GmbH, consists of nationwide statutory health insurance data. First, the setting of the osteoporosis diagnosis after an index MOF in 2017 was analyzed for the ICD-10 codes S22 (rib, sternum and thoracic spine fractures), S32 (lumbar spine and pelvis fractures), S42 (shoulder and upper arm fractures), S52 (forearm fractures) and S72 (femoral fracture). Second, the healthcare resource utilization and death rates after MOFs were analyzed for the first dynamic year after an index MOF between 2014 and 2017.
Results: A total of 34,501 patients were identified with an index MOF in 2017. The setting of the osteoporosis diagnosis was linked to the fracture type: Femoral fractures were mainly diagnosed in an inpatient setting (76.0%) whereas forearm fractures were mainly diagnosed in an outpatient setting (78.9%). MOF coded by S22.*, S32.*, and S42.* were more often diagnosed in an outpatient setting with 65.6%, 54.8%, and 64.6%, respectively (Table 1 [Tab. 1]).
Within one year after index fractures S22, S32, S42, S52, and S72, a proportion of 3.6%, 6.5%, 3.3%, 1.7%, and 14.5% of patients, respectively, were discharged from hospital into nursing homes.
At total of 3.1%, 4.4%, 2.2%, 1.2% and 7.8% of patients died within the first year after an index MOF coded by S22.*, S32.*, S42.*, S52.* and S72.*, respectively.
Conclusion: This study gives insights into the setting of osteoporotic fracture diagnosis after index MOF in Germany. Femoral fractures were mainly diagnosed in an inpatient setting. Patients with a femoral fracture had the highest rate for nursing home utilization and the highest death rate.
Acknowledgements: This study was funded by Amgen and UCB Pharma. Luis Möckel is a former employee of UCB Pharma.