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The Bone & Joint Journal
Vol. 106-B, Issue 12 | Pages 1494 - 1494
1 Dec 2024
Nisar S Lamb J Johansen A West R Pandit H


The Bone & Joint Journal
Vol. 106-B, Issue 10 | Pages 1182 - 1189
1 Oct 2024
Nisar S Lamb J Johansen A West R Pandit H

Aims

To determine if patient ethnicity among patients with a hip fracture influences the type of fracture, surgical care, and outcome.

Methods

This was an observational cohort study using a linked dataset combining data from the National Hip Fracture Database and Hospital Episode Statistics in England and Wales. Patients’ odds of dying at one year were modelled using logistic regression with adjustment for ethnicity and clinically relevant covariates.


The Bone & Joint Journal
Vol. 105-B, Issue 9 | Pages 1013 - 1019
1 Sep 2023
Johansen A Hall AJ Ojeda-Thies C Poacher AT Costa ML

Aims

National hip fracture registries audit similar aspects of care but there is variation in the actual data collected; these differences restrict international comparison, benchmarking, and research. The Fragility Fracture Network (FFN) published a revised minimum common dataset (MCD) in 2022 to improve consistency and interoperability. Our aim was to assess compatibility of existing registries with the MCD.

Methods

We compared 17 hip fracture registries covering 20 countries (Argentina; Australia and New Zealand; China; Denmark; England, Wales, and Northern Ireland; Germany; Holland; Ireland; Japan; Mexico; Norway; Pakistan; the Philippines; Scotland; South Korea; Spain; and Sweden), setting each of these against the 20 core and 12 optional fields of the MCD.


The Bone & Joint Journal
Vol. 104-B, Issue 10 | Pages 1156 - 1167
1 Oct 2022
Holleyman RJ Khan SK Charlett A Inman DS Johansen A Brown C Barnard S Fox S Baker PN Deehan D Burton P Gregson CL

Aims

Hip fracture commonly affects the frailest patients, of whom many are care-dependent, with a disproportionate risk of contracting COVID-19. We examined the impact of COVID-19 infection on hip fracture mortality in England.

Methods

We conducted a cohort study of patients with hip fracture recorded in the National Hip Fracture Database between 1 February 2019 and 31 October 2020 in England. Data were linked to Hospital Episode Statistics to quantify patient characteristics and comorbidities, Office for National Statistics mortality data, and Public Health England’s SARS-CoV-2 testing results. Multivariable Cox regression examined determinants of 90-day mortality. Excess mortality attributable to COVID-19 was quantified using Quasi-Poisson models.


The Bone & Joint Journal
Vol. 104-B, Issue 6 | Pages 721 - 728
1 Jun 2022
Johansen A Ojeda-Thies C Poacher AT Hall AJ Brent L Ahern EC Costa ML

Aims

The aim of this study was to explore current use of the Global Fragility Fracture Network (FFN) Minimum Common Dataset (MCD) within established national hip fracture registries, and to propose a revised MCD to enable international benchmarking for hip fracture care.

Methods

We compared all ten established national hip fracture registries: England, Wales, and Northern Ireland; Scotland; Australia and New Zealand; Republic of Ireland; Germany; the Netherlands; Sweden; Norway; Denmark; and Spain. We tabulated all questions included in each registry, and cross-referenced them against the 32 questions of the MCD dataset. Having identified those questions consistently used in the majority of national audits, and which additional fields were used less commonly, we then used consensus methods to establish a revised MCD.


The Bone & Joint Journal
Vol. 103-B, Issue 10 | Pages 1627 - 1632
4 Oct 2021
Farrow L Hall AJ Ablett AD Johansen A Myint PK

Aims

The aim of this study was to determine the impact of hospital-level service characteristics on hip fracture outcomes and quality of care processes measures.

Methods

This was a retrospective analysis of publicly available audit data obtained from the National Hip Fracture Database (NHFD) 2018 benchmark summary and Facilities Survey. Data extraction was performed using a dedicated proforma to identify relevant hospital-level care process and outcome variables for inclusion. The primary outcome measure was adjusted 30-day mortality rate. A random forest-based multivariate imputation by chained equation (MICE) algorithm was used for missing value imputation. Univariable analysis for each hospital level factor was performed using a combination of Tobit regression, Siegal non-parametric linear regression, and Mann-Whitney U test analyses, dependent on the data type. In all analyses, a p-value < 0.05 denoted statistical significance.


The Bone & Joint Journal
Vol. 103-B, Issue 6 | Pages 1007 - 1008
1 Jun 2021
Johansen A Inman DS