Article ID | Journal | Published Year | Pages | File Type |
---|---|---|---|---|
5708622 | The Journal of Arthroplasty | 2017 | 24 Pages |
Abstract
This model provides useful information regarding the quality of the recorded data since it identified deficient areas within the IAR. We recommend that institutional arthroplasty registries be constantly monitored for data quality before using their information for research or quality improvement purposes.
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Authors
Maria P. MD, MSc, Guillermo A. MD, Klaus W. MD, MSc, Adolfo M. MD, Fernanda RN, Laura L. MD,