Literature DB >> 19319619

Do physicians within the same practice setting manage osteoporosis patients similarly? Implications for implementation research.

J R Curtis1, T Arora, J Xi, A Silver, J J Allison, L Chen, K G Saag, A Schenck, A O Westfall, C Colón-Emeric.   

Abstract

UNLABELLED: Using data from long-term glucocorticoid users and long-term care residents, we evaluated osteoporosis prescribing patterns related to physician behavior and common practice settings. We found no significant clustering effect for common practice setting, suggesting that osteoporosis quality improvement (QI) efforts may be able to ignore this factor in designing QI interventions.
INTRODUCTION: Patients' receipt of prescription therapies are significantly influenced by their physician's prescribing patterns. If physicians in the same practice setting influence one another's prescribing, evidence implementation interventions must consider targeting the practice as well as individual physicians to achieve maximal success.
METHODS: We examined receipt of osteoporosis treatment (OP Rx) from two prior evidence implementation studies: long-term glucocorticoid (GC) users and nursing home (NH) residents with prior fracture or osteoporosis. Common practice setting was defined as doctors practicing at the same address or in the same nursing home. Alternating logistic regression evaluated the relationship between OP Rx, common practice setting, and individual physician treatment patterns.
RESULTS: Among 6,281 GC users in 1,296 practices, the proportion receiving OP Rx in each practice was 6-100%. Among 779 NH residents in 66 nursing homes, the proportion in each NH receiving OP Rx was 0-100%. In both, there was no significant relationship between receipt of OP Rx and common practice setting after accounting for treatment pattern of individual physicians.
CONCLUSION: Physicians practicing together were not more alike in prescribing osteoporosis medications than those in different practices. Osteoporosis quality improvement may be able to ignore common practice settings and maximize statistical power by targeting individual physicians.

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Year:  2009        PMID: 19319619      PMCID: PMC2766011          DOI: 10.1007/s00198-009-0900-7

Source DB:  PubMed          Journal:  Osteoporos Int        ISSN: 0937-941X            Impact factor:   4.507


  10 in total

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3.  Challenges in improving the quality of osteoporosis care for long-term glucocorticoid users: a prospective randomized trial.

Authors:  Jeffrey R Curtis; Andrew O Westfall; Jeroan Allison; Angela Becker; Mary Elkins Melton; Allison Freeman; Catarina I Kiefe; Marilyn MacArthur; Theresa Ockershausen; Emily Stewart; Norm Weissman; Kenneth G Saag
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4.  Randomized trial to improve fracture prevention in nursing home residents.

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
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6.  Longitudinal patterns in the prevention of osteoporosis in glucocorticoid-treated patients.

Authors:  Jeffrey R Curtis; Andrew O Westfall; Jeroan J Allison; Angela Becker; Linda Casebeer; Allison Freeman; Claire M Spettell; Norman W Weissman; Scott Wilke; Kenneth G Saag
Journal:  Arthritis Rheum       Date:  2005-08

7.  Barriers to providing osteoporosis care in skilled nursing facilities: perceptions of medical directors and directors of nursing.

Authors:  Cathleen S Colón-Emeric; Linda Casebeer; Kenneth Saag; Jeroan Allison; Deborah Levine; Theodore T Suh; Kenneth W Lyles
Journal:  J Am Med Dir Assoc       Date:  2005 May-Jun       Impact factor: 4.669

8.  Prevalence and predictors of osteoporosis treatment in nursing home residents with known osteoporosis or recent fracture.

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

9.  Detecting patterns of occupational illness clustering with alternating logistic regressions applied to longitudinal data.

Authors:  John S Preisser; Thomas A Arcury; Sara A Quandt
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  10 in total
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1.  Fracture Risk Assessment in Long-term Care (FRAiL): Development and Validation of a Prediction Model.

Authors:  Sarah D Berry; Andrew R Zullo; Yoojin Lee; Vincent Mor; Kevin W McConeghy; Geetanjoli Banerjee; Ralph B D'Agostino; Lori Daiello; David Dosa; Douglas P Kiel
Journal:  J Gerontol A Biol Sci Med Sci       Date:  2018-05-09       Impact factor: 6.053

2.  Osteoporosis prescribing in long-term care: impact of a provincial knowledge translation strategy.

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

3.  Improving osteoporosis care through multimodal interventions: insights from the University of Alabama at Birmingham Center for Education and Research on Therapeutics.

Authors:  J R Curtis
Journal:  Osteoporos Int       Date:  2011-08-17       Impact factor: 4.507

4.  Treatment of Osteoporosis in Australian Residential Aged Care Facilities: Update on Consensus Recommendations for Fracture Prevention.

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5.  Sample size estimation for alternating logistic regressions analysis of multilevel randomized community trials of under-age drinking.

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  5 in total

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