The National Joint Registry Data Quality Audit of elbow arthroplasty
The rate of completeness of the NJR total elbow arthroplasty dataset is currently 93% and the accuracy is 98%. This audit identified challenges of data capture with regard to RHAs. Collaboration with a trauma and orthopaedic trainees through the British Orthopaedic Trainee Association improved the completeness and accuracy of the NJR elbow dataset, which will improve the validity of the reports and of the associated research.
Authors
- Adam C. Watts (ORCID: https://orcid.org/0000-0003-0795-6462)
- Zaid Hamoodi (ORCID: https://orcid.org/0000-0003-0045-7257)
- Michael Richard Whitehouse (ORCID: https://orcid.org/0000-0003-2436-9024)
- Adrian Sayers (ORCID: https://orcid.org/0000-0001-7452-5043)
- J. Shapiro
Institutions
- Edge Hill University (GB)
- Manchester Academic Health Science Centre (GB)
- University Hospitals Bristol NHS Foundation Trust (GB)
- Wrightington, Wigan and Leigh NHS Foundation Trust (GB)
- University of Manchester (GB)
- National Institute for Health and Care Research (GB)
- University of Bristol (GB)
- Hemel Hempstead Hospital (GB)
- Wrightington Hospital (GB)
- Arthritis UK (GB)
Publication Details
- Journal
- The Bone & Joint Journal
- Published
- 2024-12-01
- DOI
- https://doi.org/10.1302/0301-620x.106b12.bjj-2023-1372.r1
- Citations
- 1
- Primary Topic
- Shoulder Injury and Treatment
- Type
- article
- Field-Weighted Citation Impact
- 0.57