Predictors of prolonged length of stay in shoulder arthroplasty: A study using the National Joint Registry and Hospital Episode Statistics for England

Both patient-level and system-level factors contribute to prolonged LOS. Optimising perioperative care and scheduling may reduce LOS and improve NHS resource utilisation.

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Publication Details

Journal
Shoulder & Elbow
Published
2026-03-04
DOI
https://doi.org/10.1177/17585732261425994
Primary Topic
Shoulder Injury and Treatment
Type
article
Field-Weighted Citation Impact
0.00
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article

Predictors of prolonged length of stay in shoulder arthroplasty: A study using the National Joint Registry and Hospital Episode Statistics for England

Peter Reilly, Alun Davies, Olivia O’Malley, Sanjeeve Sabharwal et al.
Shoulder & Elbow
Shoulder Injury and Treatment
article

Predictors of prolonged length of stay in shoulder arthroplasty: A study using the National Joint Registry and Hospital Episode Statistics for England

Peter Reilly, Alun Davies, Olivia O’Malley, Sanjeeve Sabharwal, Amar Rangan
article en

Abstract

Both patient-level and system-level factors contribute to prolonged LOS. Optimising perioperative care and scheduling may reduce LOS and improve NHS resource utilisation.

Shoulder & Elbow
Imperial College Healthcare NHS Trust (GB), Imperial College London (GB), University of York (GB), Hull York Medical School (GB)
Openalex Percentile: Top 32%
Shoulder Injury and Treatment
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Predictors of prolonged length of stay in shoulder arthroplasty: A study using the National Joint Registry and Hospital Episode Statistics for England — Peter Reilly, Alun Davies, et al. · Shoulder & Elbow (2026) | TGRS Research Map | TGRS