Predictors for day case surgery in shoulder arthroplasty: a study using the National Joint Registry and Hospital Episode Statistics for England
This study has identified independent predictors for day case surgery and has developed a tool that can act as an adjunct for clinicians selecting patients for day case shoulder arthroplasty.
Authors
- Peter Reilly (ORCID: https://orcid.org/0000-0002-3872-910X)
- Alun H. Davies (ORCID: https://orcid.org/0000-0001-5261-6913)
- M. T. A. Sharabiani
- Olivia O’Malley (ORCID: https://orcid.org/0000-0002-9674-1553)
- Sanjeeve Sabharwal (ORCID: https://orcid.org/0000-0002-2732-756X)
- Amar Rangan (ORCID: https://orcid.org/0000-0002-5452-8578)
Institutions
- Imperial College Healthcare NHS Trust (GB)
- Imperial College London (GB)
- Hull York Medical School (GB)
Publication Details
- Journal
- Journal of Orthopaedic Surgery and Research
- Published
- 2025-11-26
- DOI
- https://doi.org/10.1186/s13018-025-06440-5
- Primary Topic
- Shoulder Injury and Treatment
- Type
- article
- Field-Weighted Citation Impact
- 0.00