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BACKGROUND: Arthroplasty registries are rarely used to inform encounters between clinician and patient. This study is part of a larger one which aimed to develop an information tool allowing both to benefit from previous patients' experience after total hip arthroplasty (THA). This study focuses on generating the information tool specifically for pain outcomes. METHODS: Data from the Geneva Arthroplasty Registry (GAR) about patients receiving a primary elective THA between 1996 and 2019 was used. Selected outcomes were identified from patient and surgeon surveys: pain walking, climbing stairs, night pain, pain interference, and pain medication. Clusters of patients with homogeneous outcomes at 1, 5, and 10 years postoperatively were generated based on selected predictors evaluated preoperatively using conditional inference trees (CITs). RESULTS: Data from 6,836 THAs were analysed and 14 CITs generated with 17 predictors found significant (p 

Original publication

DOI

10.1186/s12891-024-07357-6

Type

Journal article

Journal

BMC Musculoskelet Disord

Publication Date

01/04/2024

Volume

25

Keywords

Information tool, Pain management, Patient reported outcome measures, Shared decision making, Total hip arthroplasty, Humans, Arthroplasty, Replacement, Hip, Treatment Outcome, Prospective Studies, Routinely Collected Health Data, Pain