Construction and validation of a population-based bone densitometry database

被引:212
作者
Leslie, WD
Caetano, PA
MacWilliam, LR
Finlayson, GS
机构
[1] St Boniface Gen Hosp, Dept Med, Winnipeg, MB R2H 2A6, Canada
[2] St Boniface Gen Hosp, Dept Radiol, Winnipeg, MB R2H 2A6, Canada
[3] Univ Manitoba, Fac Med, Manitoba Ctr Hlth Policy, Winnipeg, MB, Canada
[4] Univ Manitoba, Fac Pharm, Winnipeg, MB R3T 2N2, Canada
关键词
osteoporosis; bone densitometry; health services;
D O I
10.1385/JCD:8:1:025
中图分类号
R5 [内科学];
学科分类号
1002 [临床医学]; 100201 [内科学];
摘要
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.
引用
收藏
页码:25 / 30
页数:6
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