Aims. COVID-19 necessitated abrupt changes in trauma
Competition ratios for Core Surgical Training (CST) and Higher Specialist Training in Trauma & Orthopaedic (T&O) surgery have decreased over the last 5 years. Whilst multifactorial, one reason thought to contribute to career decision- making, is junior doctors' experience whilst working in that specialty. This study aimed to identify ‘who’ is currently working on the “1st on call” tier in T&O in the UK, and what clinical activities are undertaken. Collaborators were recruited between 12/09/2015 – 17/01/2016 via the BOTA networks. Data was prospectively collected between 18/01/2015 and 22/01/2015. Each collaborator completed a coded clinical activity diary for all doctors on the “1st on call” rota for T&O in their hospital. Activity parameters included doctor grade, rota gaps, operative and clinic exposure, on call activity, and ward cover. 221 collaborators submitted clinical activity data regarding 933 junior doctors from 100 T&O departments in the UK. 30 rota gaps were identified. The mean number of junior tier doctors was 9 (range 1–23). The “Lost Tribe” comprised Foundation Year 2 (26%), Core Surgical Trainee (19%), Trust Grade (20%), and locum doctors (13%), amongst other grades. During the study period, 2.5% of the ‘Lost Tribe’s' time was allocated to clinic, 2.7% to theatre, 27% to ward cover and 34.6% to zero sessions. Doctors-in-training make up a minority of the workforce and as such, the T&O profession need to do more to ensure that junior doctors are exposed to clinics and operative lists to specifically address the balance between training and
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. 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.Aims
Methods
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. 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.Aims
Methods
The aim of this study to compare 30-day survival and recovery of mobility between patients mobilized early (on the day of, or day after surgery for a hip fracture) and patients mobilized late (two days or more after surgery), and to determine whether the presence of dementia influences the association between the timing of mobilization, 30-day survival, and recovery. Analysis of the National Hip Fracture Database and hospital records for 126,897 patients aged ≥ 60 years who underwent surgery for a hip fracture in England and Wales between 2014 and 2016. Using logistic regression, we adjusted for covariates with a propensity score to estimate the association between the timing of mobilization, survival, and recovery of walking ability.Aims
Methods
