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The Bone & Joint Journal
Vol. 107-B, Issue 2 | Pages 229 - 238
1 Feb 2025
Webster J Goldacre R Lane JCE Mafham M Campbell MK Johansen A Griffin XL

Aims

The aim of this study was to evaluate the suitability, against an accepted international standard, of a linked hip fracture registry and routinely collected administrative dataset in England to embed and deliver randomized controlled trials (RCTs).

Methods

First, a bespoke cohort of individuals sustaining hip fractures between 2011 and 2016 was generated from the National Hip Fracture Database (NHFD) and linked to individual Hospital Episode Statistics (HES) records and mortality data. Second, in order to explore the availability and distribution of outcomes available in linked HES-Office of National Statistics (ONS) data, a more contemporary cohort with incident hip fracture was identified within HES between January 2014 and December 2018. Distributions of the outcomes within the HES-ONS dataset were reported using standard statistical summaries; descriptive characteristics of the NHFD and linked HES-ONS dataset were reported in line with the Clinical Trials Transformation Initiative recommendations for registry-enabled trials.


The Bone & Joint Journal
Vol. 98-B, Issue 12 | Pages 1648 - 1655
1 Dec 2016
Murphy J Gray A Cooper C Cooper D Ramsay C Carr A

Aims

A trial-based comparison of the use of resources, costs and quality of life outcomes of arthroscopic and open surgical management for rotator cuff tears in the United Kingdom NHS was performed using data from the United Kingdom Rotator Cuff Study (UKUFF) randomised controlled trial.

Patients and Methods

Using data from 273 patients, healthcare-related use of resources, costs and quality-adjusted life years (QALYs) were estimated at 12 months and 24 months after surgery on an intention-to-treat basis with adjustment for covariates. Uncertainty about the incremental cost-effectiveness ratio for arthroscopic versus open management at 24 months of follow-up was incorporated using bootstrapping. Multiple imputation methods were used to deal with missing data.