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Hamoodi Z, Shapiro J, Sayers A, Whitehouse MR, Watts AC, Abbott J, Abbott S, Adebayo O, Ahmad K, Ahrens P, Akinfala M, Al-Hadithy N, Al-Najjar M, Amirfeyz R, Ankarath S, Ashton F, Aulton K, Auplish S, Austin J, Ayeko S, Azhar R, Bahia R, Baines S, Baldomir M, Barai S, Barkham B, Barrett E, Batten T, Bavan L, Baxter J, Beaumont S, Bentley J, Bhabra G, Bhat M, Bhatt A, Bhingraj M, Bhutta A, Bingham S, Blastland J, Boardman D, Boateng M, Bojarska K, Boksh K, Booker S, Borreshi S, Bould M, Boulton L, Brannan L, Breidaka Z, Brereton R, Brinsden M, Brooker J, Brookes S, Broux C, Brown E, Browne J, Bryant R, Buchanan J, Buck L, Burnett K, Burrows M, Burt J, Burton D, Butt U, Campaner B, Candal-Couto J, Carvell H, Chakravarthy J, Chatterji S, Chaudhury S, Chauhan GS, Chojnowski A, Cittambalam J, Clark D, Gosia Clarke M, Clarke B, Clelland A, Cochrane R, Colbridge K, Cook H, Cooper B, Correa E, Craven J, Crawford J, Curtis S, Cuthbert R, Dainton J, Dale L, Davies S, Davis J, Davis V, Dean B, Dehler T, Dennis S, Der Tavitian J, Desai A, Dhillon SS, Dias R, Dickinson G, Dirckx M, Dixon O, Docker C, Dodenhoff R, Domos P, Draviaraj K, Drew S, Duff C, Duffin S, Durham P, Earnshaw K, Edakalathur J, Edwards M, Elahi Z, Else S, Emara M, Eng K, Esfandiari A, Esler C, Evans J, Everall A, Eyre-Brook A, Farhan-Alanie M, Federer S, Ferdinandus S, Finch M, Fischer J, Flood C, Forde C, Forder J, Fowler L, Franklin M, Gacaferi H, Gamble D, Garg S, Gill V, Ginley J, Glancey E, Glanville G, Gmati A, Goddard K, Goel J, Goldsmith C, Gooding B, Goodwin F, Goring B, Goude W, Guyver P, Haines S, Haque A, Hardley T, Haritonow S, Harnett L, Harris J, Harris M, Harrison J, Hauffe I, Hawken A, Hawkes D, Hay S, Haywood M, Hedge S, Hickey S, Hickinson A, Higgs D, Hill R, Hill S, Hind J, Hitchcock M, Holdcroft T, Holdcroft E, Holliday A, Hudson S, Hughes H, Imtiaz R, Iqbal S, Jabr Y, Jackson C, Jameson J, Jayme O, Jennings A, Jenvey C, Jewitt E, Jimenez A, Joby J, Jones A, Jones N, Jovanovic J, Kabala V, Kang N, Kausor G, Kaynes S, Keane C, Keen L, Kelly G, Kent M, Kent J, Kerr C, Kerr J, King C, Kinnair A, Kinsley G, Konarski A, Kord J, Kumar H, Kumar S, Lafferty R, Lancaster P, Levitt W, Lewin A, Li Y, Liew I, Yizhe Lim M, Lipscombe S, Lynch E, MacInnes S, Madden P, Maddocks N, Mahajan R, Mahoney R, Malik S, Mannan S, Maris A, Markey M, Martin C, Martin R, Masunda S, Mazis G, Mcauliffe AM, McBride T, McGowan A, Mckeown N, McLauchlan G, McNally D, Melton J, Miller J, Millyard C, Mitchell C, Mohamed F, Mohamed A, Charlotte Montgomery H, Munn D, Mutimer J, Nanda R, Neen D, Newton L, Newton A, Nicholl A, Nightingale J, Ogden E, Orton P, Oswald L, Page K, Paius M, Papanna M, Patel N, Paul C, Peach C, Pegg D, Penfold S, Phillips E, Pickering G, Plakogiannis C, Platt J, Pole C, Potter R, Povall K, Pradhan R, Prasad G, Price K, Pride J, Prins A, Qazzaz L, Radhakrishnan A, Ramesh A, Rashid A, Rashid A, Rasidovic D, Ratford E, Rayner J, Rhee J, Rice-Evans M, Ricketts M, Roach D, Waters ER, Robinson S, Robinson P, Rodgers S, Rogers E, Rooney A, Rossouw D, Roy B, Sadiqi M, Sagmeister M, Samy D, Sanders P, Sanderson K, Sandher D, Sargazi N, Saunders M, Saunders N, Savage K, Sawalha S, Schouw M, Scott G, Selzer G, Sepesiova L, Shah S, Shahane S, Shaw G, Shrestha S, Shutt J, Siddiqui N, Sidharthan S, Simons A, Simpson V, Sinclair P, Siney P, Singh J, Singh B, Singh H, Sinha A, Smith C, Smith C, Smith K, Somanchi B, Soufan M, Southgate C, Southgate J, Spearpoint N, Stainer R, Stevens R, Stimler B, Stone A, Suter D, Talbot C, Tareef T, Theivendran K, Thomas B, Thomas W, Thompson A, Thompson J, Thornhill E, Titchener A, Townley M, Tozer T, Truman J, Truss A, Turner R, Van Rensburg L, Venugopal V, Vollans S, Waller L, Walsh A, Waraich A, Wei N, James White W, Wilkinson M, Williams D, Williams P, Williams N, Wilson S, Wood D, Yadu S, Yarashi T, Zeolla J, Zreik NH, Ollivere B. The National Joint Registry Data Quality Audit of elbow arthroplasty. Bone Joint J 2024; 106-B:1461-1468. [PMID: 39618239 DOI: 10.1302/0301-620x.106b12.bjj-2023-1372.r1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 04/03/2025]
Abstract
Aims The aim of this audit was to assess and improve the completeness and accuracy of the National Joint Registry (NJR) dataset for arthroplasty of the elbow. Methods It was performed in two phases. In Phase 1, the completeness was assessed by comparing the NJR elbow dataset with the NHS England Hospital Episode Statistics (HES) data between April 2012 and April 2020. In order to assess the accuracy of the data, the components of each arthroplasty recorded in the NJR were compared to the type of arthroplasty which was recorded. In Phase 2, a national collaborative audit was undertaken to evaluate the reasons for unmatched data, add missing arthroplasties, and evaluate the reasons for the recording of inaccurate arthroplasties and correct them. Results Phase 1 identified 5,539 arthroplasties in HES which did not match an arthroplasty on the NJR, and 448 inaccurate arthroplasties from 254 hospitals. Most mismatched procedures (3,960 procedures; 71%) were radial head arthroplasties (RHAs). In Phase 2, 142 NHS hospitals with 3,640 (66%) mismatched and 314 (69%) inaccurate arthroplasties volunteered to assess their records. A large proportion of the unmatched data (3,000 arthroplasties; 82%) were confirmed as being missing from the NJR. The overall rate of completeness of the NJR elbow dataset improved from 63% to 83% following phase 2, and the completeness of total elbow arthroplasty data improved to 93%. Missing RHAs had the biggest impact on the overall completeness, but through the audit the number of RHAs in the NJR nearly doubled and completeness increased from 35% to 70%. The accuracy of data was 94% and improved to 98% after correcting 212 of the 448 inaccurately recorded arthroplasties. Conclusion 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.
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