Literature DB >> 17019518

The effect of socioeconomic status on bone density testing in a public health-care system.

S Demeter1, W D Leslie, L Lix, L MacWilliam, G S Finlayson, M Reed.   

Abstract

INTRODUCTION AND HYPOTHESIS: An inverse relationship exists between socio-economic status (SES) and osteoporotic fractures. In publicly funded health-care systems there should be no barriers to accessing bone mineral density (BMD) testing, especially for those at increased fracture risk. Our hypothesis was that there would be a positive association between SES and BMD utilization (i.e. higher utilization rates in higher income women), resulting in disparities that disadvantage lower SES or lower income women.
METHODS: A population-based BMD database from the Manitoba Bone Density Program was utilized to assess the association between SES (defined using income quintiles) and BMD utilization rates in women aged 50 years and older (n=107,944) for the 2001-2002 fiscal year. Analyses were stratified by age (50-64 years old and 65 years or older) and by a morbidity index obtained from the Johns Hopkins University Adjusted Clinical Group Case-Mix Adjustment System.
RESULTS: Regression models demonstrated significantly higher BMD utilization rates among high SES women in all age and morbidity strata. Rate ratios varied from 1.76 (95% CI: 1.52-2.04) in 50- to 64-year-old women to 2.36 (95% CI: 1.60-3.49) in low morbidity women aged 65 or older.
CONCLUSION: Within the context of a publicly funded health-care system significant inverse associations are demonstrated between SES and BMD utilization rates. Further research is needed to better understand the nature of these associations and how they may contribute to health outcomes.

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Year:  2006        PMID: 17019518     DOI: 10.1007/s00198-006-0212-0

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


  17 in total

1.  Revisiting the Manitoba Centre for Health Policy and Evaluation and its population-based health information system.

Authors:  N P Roos; E Shapiro
Journal:  Med Care       Date:  1999-06       Impact factor: 2.983

2.  Prevalence of osteoporosis by educational level in a cohort of postmenopausal women.

Authors:  M Varenna; L Binelli; F Zucchi; D Ghiringhelli; M Gallazzi; L Sinigaglia
Journal:  Osteoporos Int       Date:  1999       Impact factor: 4.507

Review 3.  Consuming research, producing policy?

Authors:  Robert G Evans; Greg L Stoddart
Journal:  Am J Public Health       Date:  2003-03       Impact factor: 9.308

4.  Socioeconomic influences on bone health in postmenopausal women: findings from NHANES III, 1988-1994.

Authors:  May-Choo Wang; L Beth Dixon
Journal:  Osteoporos Int       Date:  2005-05-10       Impact factor: 4.507

5.  Ambulatory care groups: a categorization of diagnoses for research and management.

Authors:  B Starfield; J Weiner; L Mumford; D Steinwachs
Journal:  Health Serv Res       Date:  1991-04       Impact factor: 3.402

6.  Preventive screening. What factors influence testing?

Authors:  Murray M Finkelstein
Journal:  Can Fam Physician       Date:  2002-09       Impact factor: 3.275

7.  Occurrence of hip fractures and socioeconomic position.

Authors:  W E Bacon; W C Hadden
Journal:  J Aging Health       Date:  2000-05

8.  Applying population-based case mix adjustment in managed care: the Johns Hopkins Ambulatory Care Group system.

Authors:  N S Smith; J P Weiner
Journal:  Manag Care Q       Date:  1994

9.  Development and application of a population-oriented measure of ambulatory care case-mix.

Authors:  J P Weiner; B H Starfield; D M Steinwachs; L M Mumford
Journal:  Med Care       Date:  1991-05       Impact factor: 2.983

10.  Establishing a regional bone density program: lessons from the Manitoba experience.

Authors:  William D Leslie; Colleen Metge
Journal:  J Clin Densitom       Date:  2003       Impact factor: 2.963

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  17 in total

Review 1.  The association between socioeconomic status and osteoporotic fracture in population-based adults: a systematic review.

Authors:  S L Brennan; J A Pasco; D M Urquhart; B Oldenburg; F Hanna; A E Wluka
Journal:  Osteoporos Int       Date:  2008-12-24       Impact factor: 4.507

2.  Is lower income associated with an increased likelihood of qualification for treatment for osteoporosis in Canadian women?

Authors:  S L Brennan; W D Leslie; L M Lix
Journal:  Osteoporos Int       Date:  2013-08-02       Impact factor: 4.507

3.  The contributions of First Nations ethnicity, income, and delays in surgery on mortality post-fracture: a population-based analysis.

Authors:  W D Leslie; S L Brennan; H J Prior; L M Lix; C Metge; B Elias
Journal:  Osteoporos Int       Date:  2012-08-08       Impact factor: 4.507

Review 4.  Association between socioeconomic status and bone mineral density in adults: a systematic review.

Authors:  S L Brennan; J A Pasco; D M Urquhart; B Oldenburg; Y Wang; A E Wluka
Journal:  Osteoporos Int       Date:  2010-05-07       Impact factor: 4.507

5.  Factors affecting willingness to get assessed and treated for osteoporosis.

Authors:  Y H Roh; E S Lee; J Ahn; H S Kim; H S Gong; K H Baek; H Y Chung
Journal:  Osteoporos Int       Date:  2019-04-03       Impact factor: 4.507

6.  The post-fracture care gap among Canadian First Nations peoples: a retrospective cohort study.

Authors:  W D Leslie; S L Brennan; H J Prior; L M Lix; C Metge; B Elias
Journal:  Osteoporos Int       Date:  2012-01-03       Impact factor: 4.507

7.  Non-participation in systematic screening for osteoporosis-the ROSE trial.

Authors:  M J Rothmann; S Möller; T Holmberg; M Højberg; J Gram; M Bech; K Brixen; A P Hermann; C-C Glüer; R Barkmann; K H Rubin
Journal:  Osteoporos Int       Date:  2017-09-05       Impact factor: 4.507

8.  Pattern of use of DXA scans in men: a cross-sectional, population-based study.

Authors:  M Frost; C Gudex; K H Rubin; K Brixen; B Abrahamsen
Journal:  Osteoporos Int       Date:  2011-02-26       Impact factor: 4.507

9.  FRAX provides robust fracture prediction regardless of socioeconomic status.

Authors:  S L Brennan; W D Leslie; L M Lix; H Johansson; A Oden; E McCloskey; J A Kanis
Journal:  Osteoporos Int       Date:  2013-11-05       Impact factor: 4.507

10.  Impact of socioeconomic status on ionizing radiation exposure from medical imaging in children.

Authors:  Katherine Freeman; Daniel Strauchler; Todd S Miller
Journal:  J Am Coll Radiol       Date:  2012-11       Impact factor: 5.532

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