Literature DB >> 15722584

Construction and validation of a population-based bone densitometry database.

William D Leslie1, Patricia A Caetano, Leonard R Macwilliam, Gregory S Finlayson.   

Abstract

Utilization of dual-energy X-ray absorptiometry (DXA) for the initial diagnostic assessment of osteoporosis and in monitoring treatment has risen dramatically in recent years. Population-based studies of the impact of DXA and osteoporosis remain challenging because of incomplete and fragmented test data that exist in most regions. Our aim was to create and assess completeness of a database of all clinical DXA services and test results for the province of Manitoba, Canada and to present descriptive data resulting from testing. A regionally based bone density program for the province of Manitoba, Canada was established in 1997. Subsequent DXA services were prospectively captured in a program database. This database was retrospectively populated with earlier DXA results dating back to 1990 (the year that the first DXA scanner was installed) by integrating multiple data sources. A random chart audit was performed to assess completeness and accuracy of this dataset. For comparison, testing rates determined from the DXA database were compared with physician administrative claims data. There was a high level of completeness of this database (>99%) and accurate personal identifier information sufficient for linkage with other health care administrative data (>99%). This contrasted with physician billing data that were found to be markedly incomplete. Descriptive data provide a profile of individuals receiving DXA and their test results. In conclusion, the Manitoba bone density database has great potential as a resource for clinical and health policy research because it is population based with a high level of completeness and accuracy.

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Year:  2005        PMID: 15722584     DOI: 10.1385/jcd:8:1:025

Source DB:  PubMed          Journal:  J Clin Densitom        ISSN: 1094-6950            Impact factor:   2.963


  58 in total

1.  Validation of a case definition for osteoporosis disease surveillance.

Authors:  W D Leslie; L M Lix; M S Yogendran
Journal:  Osteoporos Int       Date:  2010-05-11       Impact factor: 4.507

2.  A comparative study of using non-hip bone density inputs with FRAX®.

Authors:  W D Leslie; L M Lix; H Johansson; A Oden; E McCloskey; J A Kanis
Journal:  Osteoporos Int       Date:  2011-10-19       Impact factor: 4.507

3.  Minimum sample size requirements for bone density precision assessment produce inconsistency in clinical monitoring.

Authors:  W D Leslie; A Moayyeri
Journal:  Osteoporos Int       Date:  2006-08-10       Impact factor: 4.507

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

Authors:  S Demeter; W D Leslie; L Lix; L MacWilliam; G S Finlayson; M Reed
Journal:  Osteoporos Int       Date:  2006-09-20       Impact factor: 4.507

5.  High bone mineral density is associated with high body mass index.

Authors:  S Morin; W D Leslie
Journal:  Osteoporos Int       Date:  2008-11-26       Impact factor: 4.507

6.  Comparison of Methods for Improving Fracture Risk Assessment in Diabetes: The Manitoba BMD Registry.

Authors:  William D Leslie; Helena Johansson; Eugene V McCloskey; Nicholas C Harvey; John A Kanis; Didier Hans
Journal:  J Bone Miner Res       Date:  2018-07-16       Impact factor: 6.741

7.  Prediction of hip and other osteoporotic fractures from hip geometry in a large clinical cohort.

Authors:  W D Leslie; P S Pahlavan; J F Tsang; L M Lix
Journal:  Osteoporos Int       Date:  2009-02-24       Impact factor: 4.507

8.  Does diabetes modify the effect of FRAX risk factors for predicting major osteoporotic and hip fracture?

Authors:  W D Leslie; S N Morin; L M Lix; S R Majumdar
Journal:  Osteoporos Int       Date:  2014-08-05       Impact factor: 4.507

9.  Risk-equivalent T-score adjustment for using lumbar spine trabecular bone score (TBS): the Manitoba BMD registry.

Authors:  W D Leslie; E Shevroja; H Johansson; E V McCloskey; N C Harvey; J A Kanis; D Hans
Journal:  Osteoporos Int       Date:  2018-02-01       Impact factor: 4.507

10.  Fracture prediction from self-reported falls in routine clinical practice: a registry-based cohort study.

Authors:  W D Leslie; S N Morin; L M Lix; P Martineau; M Bryanton; E V McCloskey; H Johansson; N C Harvey; J A Kanis
Journal:  Osteoporos Int       Date:  2019-08-02       Impact factor: 4.507

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