Literature DB >> 21400004

Bone quality: educational tools for patients, physicians, and educators.

Junaid Shams1, Allison B Spitzer, Ann M Kennelly, Laura L Tosi.   

Abstract

BACKGROUND: Defining bone quality remains elusive. From a patient perspective bone quality can best be defined as an individual's likelihood of sustaining a fracture. Fracture risk indicators and performance measures can help clinicians better understand individual fracture risk. Educational resources such as the Web can help clinicians and patients better understand fracture risk, communicate effectively, and make decisions concerning diagnosis and treatment. QUESTIONS/PURPOSES: We examined four questions: What tools can be used to identify individuals at high risk for fracture? What clinical performance measures are available? What strategies can help ensure that patients at risk for fracture are identified? What are some authoritative Web sites for educating providers and patients about bone quality?
METHODS: Using Google, PUBMED, and trademark names, we reviewed the literature using the terms "bone quality" and "osteoporosis education." Web site legitimacy was evaluated using specific criteria. Educational Web sites were limited to English-language sites sponsored by nonprofit organizations
RESULTS: The Fracture Risk Assessment Tool® (FRAX®) and the Fracture Risk Calculator (FRC) are reliable means of assessing fracture risk. Performance measures relating to bone health were developed by the AMA convened Physician Consortium for Performance Improvement® and are included in the Physician Quality Reporting Initiative. In addition, quality measures have been developed by the Joint Commission. Strategies for identifying individuals at risk include designating responsibility for case finding and intervention, evaluating secondary causes of osteoporosis, educating patients and providers, performing cost-effectiveness evaluation, and using information technology. An abundance of authoritative educational Web sites exists for providers and patients.
CONCLUSIONS: Effective clinical indicators, performance measures, and educational tools to better understand and identify fracture risk are now available. The next challenge is to encourage broader use of these resources so that individuals at high risk for fracture will not just be identified but will also adhere to therapy.

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Year:  2011        PMID: 21400004      PMCID: PMC3126939          DOI: 10.1007/s11999-011-1809-y

Source DB:  PubMed          Journal:  Clin Orthop Relat Res        ISSN: 0009-921X            Impact factor:   4.176


  53 in total

Review 1.  Bone quality: getting closer to a definition.

Authors:  Nelson B Watts
Journal:  J Bone Miner Res       Date:  2002-07       Impact factor: 6.741

2.  A randomized controlled trial of mailed osteoporosis education to older adults.

Authors:  D H Solomon; J S Finkelstein; J M Polinski; M Arnold; A Licari; D Cabral; C Canning; J Avorn; J N Katz
Journal:  Osteoporos Int       Date:  2006-01-24       Impact factor: 4.507

3.  Successes and failures in improving osteoporosis care after fragility fracture: results of a multiple-site clinical improvement project.

Authors:  J Timothy Harrington; Chad L Deal
Journal:  Arthritis Rheum       Date:  2006-10-15

4.  Incidence and economic burden of osteoporosis-related fractures in the United States, 2005-2025.

Authors:  Russel Burge; Bess Dawson-Hughes; Daniel H Solomon; John B Wong; Alison King; Anna Tosteson
Journal:  J Bone Miner Res       Date:  2007-03       Impact factor: 6.741

5.  The inpatient consultation approach to osteoporosis treatment in patients with a fracture. Is automatic consultation needed?

Authors:  Elizabeth A Streeten; Asif Mohamed; Amish Gandhi; Denise Orwig; Paul Sack; Robert Sterling; Vincent D Pellegrini
Journal:  J Bone Joint Surg Am       Date:  2006-09       Impact factor: 5.284

6.  Osteoporosis disease management in a rural health care population: hip fracture reduction and reduced costs in postmenopausal women after 5 years.

Authors:  E D Newman; W T Ayoub; R H Starkey; J M Diehl; G C Wood
Journal:  Osteoporos Int       Date:  2003-02-18       Impact factor: 4.507

7.  Multifaceted intervention to improve diagnosis and treatment of osteoporosis in patients with recent wrist fracture: a randomized controlled trial.

Authors:  Sumit R Majumdar; Jeffrey A Johnson; Finlay A McAlister; Debbie Bellerose; Anthony S Russell; David A Hanley; Don W Morrish; Walter P Maksymowych; Brian H Rowe
Journal:  CMAJ       Date:  2008-02-26       Impact factor: 8.262

8.  FRAX and the assessment of fracture probability in men and women from the UK.

Authors:  J A Kanis; O Johnell; A Oden; H Johansson; E McCloskey
Journal:  Osteoporos Int       Date:  2008-02-22       Impact factor: 4.507

9.  Closing the osteoporosis care gap: increased osteoporosis awareness among geriatrics and rehabilitation teams.

Authors:  Derek A Haaland; Dana R Cohen; Courtney C Kennedy; Nader A Khalidi; Jonathan D Adachi; Alexandra Papaioannou
Journal:  BMC Geriatr       Date:  2009-07-14       Impact factor: 3.921

10.  Evaluation of patients with a recent clinical fracture and osteoporosis, a multidisciplinary approach.

Authors:  Bianca Dumitrescu; Svenjhalmar van Helden; Rene ten Broeke; Arie Nieuwenhuijzen-Kruseman; Caroline Wyers; Gabriela Udrea; Sjef van der Linden; Piet Geusens
Journal:  BMC Musculoskelet Disord       Date:  2008-08-05       Impact factor: 2.362

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  4 in total

Review 1.  A review of lifestyle, smoking and other modifiable risk factors for osteoporotic fractures.

Authors:  Bo Abrahamsen; Dorthe Brask-Lindemann; Katrine Hass Rubin; Peter Schwarz
Journal:  Bonekey Rep       Date:  2014-09-03

2.  Knowledge and Awareness of Osteoporosis among Saudi Physicians and Nurses: A Cross-Sectional Study.

Authors:  Mushabab Ayed Alghamdi; Abdel Gaffar AbdelAllah Mohammed
Journal:  Open Access Maced J Med Sci       Date:  2018-05-15

3.  Association between the awareness of osteoporosis and the quality of care for bone health among Korean women with osteoporosis.

Authors:  Hyun-Young Shin; Hee Cheol Kang; Kiheon Lee; Sang Min Park
Journal:  BMC Musculoskelet Disord       Date:  2014-10-04       Impact factor: 2.362

4.  The Association between Bone Quality and Atherosclerosis: Results from Two Large Population-Based Studies.

Authors:  V Lange; M Dörr; U Schminke; H Völzke; M Nauck; H Wallaschofski; A Hannemann
Journal:  Int J Endocrinol       Date:  2017-08-09       Impact factor: 3.257

  4 in total

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