OBJECTIVE: To determine the proportion of nursing home residents >65 years of age with osteoporosis who were receiving antiosteoporosis pharmacotherapy and to identify the predictors of administration of such drugs. METHODS: We identified 29,357 patients with osteoporosis documented on the Minimum Data Set collected on residents of all nursing home facilities in 5 states during the period from 1992 through 1996. A multiple logistic regression model was used for analysis, with the dependent variable being use of any antiosteoporosis drug. RESULTS: Among the nursing home residents with osteoporosis, 25% received antiosteoporosis drugs. Women were more likely than men to receive antiosteoporosis drugs (adjusted odds ratio [OR], 1.41; 95% confidence interval [CI], 1.26 to 1.57). Both increasing age and level of cognitive impairment were inversely related to receipt of antiosteoporosis drugs. A history of fracture or falls was not predictive of use of such drugs. Treatment was less likely for nursing home residents with > or = 6 medical conditions (OR 0.55, 95% CI 0.51 to 0.59); those admitted to a nursing home from a hospital (OR 0.86, 95% Cl 0.80 to 0.92); and those with a terminal prognosis (OR 0.60,95% CI 0.42 to 0.87). CONCLUSION: The majority of nursing home residents with osteoporosis in this study did not receive drug therapy for this disabling and treatable disease. Although acceptable reasons may exist in some of these residents,others--especially the oldest old--may not be receiving adequate care.
OBJECTIVE: To determine the proportion of nursing home residents >65 years of age with osteoporosis who were receiving antiosteoporosis pharmacotherapy and to identify the predictors of administration of such drugs. METHODS: We identified 29,357 patients with osteoporosis documented on the Minimum Data Set collected on residents of all nursing home facilities in 5 states during the period from 1992 through 1996. A multiple logistic regression model was used for analysis, with the dependent variable being use of any antiosteoporosis drug. RESULTS: Among the nursing home residents with osteoporosis, 25% received antiosteoporosis drugs. Women were more likely than men to receive antiosteoporosis drugs (adjusted odds ratio [OR], 1.41; 95% confidence interval [CI], 1.26 to 1.57). Both increasing age and level of cognitive impairment were inversely related to receipt of antiosteoporosis drugs. A history of fracture or falls was not predictive of use of such drugs. Treatment was less likely for nursing home residents with > or = 6 medical conditions (OR 0.55, 95% CI 0.51 to 0.59); those admitted to a nursing home from a hospital (OR 0.86, 95% Cl 0.80 to 0.92); and those with a terminal prognosis (OR 0.60,95% CI 0.42 to 0.87). CONCLUSION: The majority of nursing home residents with osteoporosis in this study did not receive drug therapy for this disabling and treatable disease. Although acceptable reasons may exist in some of these residents,others--especially the oldest old--may not be receiving adequate care.
Authors: Cathleen S Colón-Emeric; Kenneth W Lyles; Paul House; Deborah A Levine; Anna P Schenck; Jeroan Allison; Joel Gorospe; Mary Fermazin; Kristi Oliver; Jeffrey R Curtis; Norman Weissman; Aiyuan Xie; Kenneth G Saag Journal: Am J Med Date: 2007-10 Impact factor: 4.965
Authors: Courtney C Kennedy; George Ioannidis; Lehana Thabane; Jonathan D Adachi; Denis O'Donnell; Lora M Giangregorio; Laura E Pickard; Alexandra Papaioannou Journal: Can J Aging Date: 2015-04-08
Authors: Peter Pietschmann; Ursula Azizi-Semrad; Katharina Pils; Astrid Fahrleitner-Pammer; Heinrich Resch; Harald Dobnig Journal: Wien Klin Wochenschr Date: 2010-08-23 Impact factor: 1.704
Authors: C Colón-Emeric; K W Lyles; D A Levine; P House; A Schenck; J Gorospe; M Fermazin; K Oliver; J Alison; N Weisman; A Xie; J R Curtis; K Saag Journal: Osteoporos Int Date: 2006-11-21 Impact factor: 4.507
Authors: Amy H Warriner; Ryan C Outman; Kenneth G Saag; Sarah D Berry; Cathleen Colón-Emeric; Kellie L Flood; Kenneth W Lyles; S Bobo Tanner; Nelson B Watts; Jeffrey R Curtis Journal: South Med J Date: 2009-04 Impact factor: 0.954