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Completeness in the Swedish Fracture Register and the Swedish National Patient Register: An Assessment of Humeral Fracture Registrations

Authors :
Bergdahl,Carl
Nilsson,Filip
Wennergren,David
Ekholm,Carl
Möller,Michael
Bergdahl,Carl
Nilsson,Filip
Wennergren,David
Ekholm,Carl
Möller,Michael
Publication Year :
2021

Abstract

Carl Bergdahl,1,2,* Filip Nilsson,2,* David Wennergren,1,2 Carl Ekholm,1,2 Michael Möller1,2 1Department of Orthopaedics, Institute of Clinical Sciences, Sahlgrenska Academy, University of Gothenburg, Gothenburg, Sweden; 2Department of Orthopaedics, Sahlgrenska University Hospital, Gothenburg/Mölndal, Sweden*These authors contributed equally to this workCorrespondence: Carl BergdahlDepartment of Orthopaedics, Sahlgrenska University Hospital, Göteborg, SE-413 45, SwedenTel +46 31 343 08 88Fax +46 31 27 86 24Email carl.bergdahl@vgregion.sePurpose: Register-based clinical research is important. However, it is essential that the collected data are reliable for the registers to be a valuable source of information. This study evaluated the quality of humeral fracture data in the Swedish Fracture Register (SFR) and in the Swedish National Patient Register (NPR). Furthermore, a model for improved case ascertainment was developed for future validation processes.Materials and Methods: Data were obtained from the NPR and SFR for all individuals aged ≥ 16 years with an acute humeral fracture ICD-code treated at Sahlgrenska University Hospital. The true number of humeral fractures (“gold standard”) was determined by cross-linkage between the two registers and a medical charts review. The completeness of registrations in each register was measured as the proportion of registrations compared with the gold standard, and accuracy was measured as positive predictive values (PPV).Results: The NPR demonstrated a high level of completeness (97%) and lower accuracy (PPV 70%) for acute humeral fractures, whereas the SFR had slightly lower completeness (88%) but perfect accuracy (PPV 100%). The most common systematic error was the registration of re-admissions as acute fractures in the NPR (84% of all erroneous registrations). With this knowledge, an adjustment model for NPR data was constructed to increase the accuracy of fracture regi

Details

Database :
OAIster
Notes :
text/html, English
Publication Type :
Electronic Resource
Accession number :
edsoai.on1252758516
Document Type :
Electronic Resource