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Use of Clinical Practice Guidelines and Quality Metrics to Assess Primary Care Management of Osteoporosis
Background: Clinical practice guidelines and quality measures provide recommendations for physicians addressing osteoporosis management. This study explored the alignment of osteoporosis clinical practice in a primary care geriatric clinic with recommended guidelines. Methods: This retrospective cha...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
SAGE Publications
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10541736/ https://www.ncbi.nlm.nih.gov/pubmed/37786542 http://dx.doi.org/10.1177/23337214231202152 |
Sumario: | Background: Clinical practice guidelines and quality measures provide recommendations for physicians addressing osteoporosis management. This study explored the alignment of osteoporosis clinical practice in a primary care geriatric clinic with recommended guidelines. Methods: This retrospective chart review included 388 patients 65 or older from a primary care geriatric clinic diagnosed with osteopenia or osteoporosis, with or without a fragility fracture. Data included history of falls and use of DXA scans, FRAX® fracture risk assessment tool, osteoporosis medication, and fall risk mitigation plans. Results: For age-related primary fracture prevention, 68% of women and 87% of men had documented DXA scans, and 45% of patients diagnosed with osteoporosis and 42% determined at high risk were prescribed osteoporosis medication. For secondary fracture prevention, 72% of women aged 67 to 85 had DXA scans and 21% were prescribed osteoporosis medication. Only 10% of patients with a history of falls had documented fall risk management plans. Conclusion: Although showing higher rates of primary and secondary prevention outcomes than did research results from general primary care, gaps were identified for high fracture risk patients and fall risk management documentation. Medical record review may not provide sufficient data to capture factors influencing decision-making for fracture prevention. |
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