Physician Differences in Managing Postmenopausal Osteoporosis View Full Text


Ontology type: schema:ScholarlyArticle     


Article Info

DATE

2011-09

AUTHORS

Barbara Lukert, Sacha Satram-Hoang, Sally Wade, Mary Anthony, Guozhi Gao, Robert Downs

ABSTRACT

BACKGROUND: Osteoporosis is a disease that often goes undetected until a fracture occurs. Previous reports indicate that disease diagnosis and care of patients with osteoporosis may vary within the medical community. OBJECTIVE: Using data from the POSSIBLE US™ registry (October 2004-December 2009), we evaluated patterns of care for a group of primary care (i.e. first-contact) physicians who frequently prescribe osteoporosis medications to determine whether variations existed in the characteristics of their postmenopausal patients; physician approaches to diagnosis; treatment choices and monitoring; and patient-reported medication use. METHODS: POSSIBLE US™ was a large prospective registry of postmenopausal women receiving osteoporosis treatment. We analysed data from 42 family practice physicians (FPPs), 50 internal medicine specialists (IMs).[internists, physicians], 41 gynaecologists (GYNs) and the 4917 patients they enrolled in the POSSIBLE US™ registry between October 2004 and January 2007. Women who had been postmenopausal for at least 1 year and who were newly initiating osteoporosis therapy, switching or augmenting therapy or continuing on a stable therapy regimen were investigated. Therapies included bisphosphonates, full-length or peptide derivative of parathyroid hormone, calcitonin, oral or transdermal postmenopausal estrogen, selective estrogen receptor modulators (SERMs), calcium and/or vitamin D supplements (alone or in combination with other therapies), or any combination of these agents. Data on physician characteristics were collected on an initial qualification questionnaire. Physicians reported data for enrolled patients at study entry and were also asked to provide relevant data obtained at clinic visits throughout the follow-up period. Patient-reported data were collected using questionnaires mailed out semi-annually throughout the follow-up period. Patient-reported and physician-reported data were assessed using ANOVA models and chi-squared (χ2) or Cochran-Mantel-Haenszel tests to evaluate differences across physician types. Multivariate logistic regression models examined the odds of patients having an osteoporosis diagnosis, being prescribed specific agents and receiving an additional dual energy x-ray absorptiometry (DXA) scan after the initial diagnostic scan. Cox proportional hazards regression models were used to determine whether the risk of patient-reported treatment discontinuation during 12 months of follow-up differed by physician characteristics. RESULTS: Although low-bone density diagnoses were not required, physicians reported DXA as the method of diagnosis in 84% of patients. The majority of patients were prescribed bisphosphonates (55%); the next most frequently prescribed treatment was calcium/vitamin D only (19%). Women treated by GYNs were younger; had fewer co-morbidities, higher T-scores and fewer prior fractures; were 30% less likely to carry a diagnosis of osteoporosis; and were more likely to be treated with SERMs or hormone replacement therapy (HRT) than women treated by IMs or FPPs. Patients cared for by physicians with >30 years of experience were 20% less likely to carry a diagnosis of osteoporosis, had greater odds of receiving either HRT or calcium/vitamin D only and had a higher risk of treatment discontinuation. Overall, there was less laboratory testing to assess secondary causes of osteoporosis in this cohort than might have been expected, given the high incidence of secondary osteoporosis generally in women of similar age. CONCLUSIONS: This study documents potentially important variations in osteoporosis care, even among physicians who frequently prescribe osteoporosis medications. More... »

PAGES

713-727

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  • Identifiers

    URI

    http://scigraph.springernature.com/pub.10.2165/11595190-000000000-00000

    DOI

    http://dx.doi.org/10.2165/11595190-000000000-00000

    DIMENSIONS

    https://app.dimensions.ai/details/publication/pub.1034579198

    PUBMED

    https://www.ncbi.nlm.nih.gov/pubmed/21913737


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