ABSTRACT
AIM: To gather information in order to highlight areas within training that could be improved and share ideas of good practice and, in addition, to compare national results with those of local training schemes. MATERIALS AND METHODS: A request to participate in the survey was emailed to 1158 radiology trainees across 36 UK training schemes in October 2012. The electronic replies were anonymous. The survey remained active for 6 weeks. The data were collated and analysed by members of the JRF. The survey itself was divided into seven sections, covering a diverse range of topics. RESULTS: Six hundred and four trainees from 36 UK training schemes completed the survey, resulting in a response rate of 52%.
Subject(s)
Clinical Competence , Education, Medical, Graduate/statistics & numerical data , Radiology Information Systems/statistics & numerical data , Radiology/education , Attitude of Health Personnel , Data Collection , Education, Medical, Continuing , Female , Humans , Internship and Residency , Male , Program Evaluation , Surveys and Questionnaires , United KingdomABSTRACT
We undertook a study to determine the rates of infection and revision of total knee replacement (TKR) in patients with renal failure, renal transplantation and those undergoing renal dialysis in Scotland. The overall early and late infection rates were 1.10% and 2.19% compared with 1.06% and 2.01%, respectively, for non-renal patients. Patients with renal failure had a significantly increased risk of early infection (1.6%, relative risk 1.52, p = 0.002) and late infection (4.47%, relative risk 2.22, p < 0.001). Those on renal dialysis had significantly increased risks of late infection (8.03%, relative risk 3.99, p < 0.001) and early revision (3.70%, relative risk 4.40, p < 0.001). Renal transplant patients had a significantly increased risk of late infection, regardless of whether renal transplantation occurred before TKR (9.09%, relative risk 4.517, p = 0.027) or at any time (8.0%, relative risk 3.975, p = 0.047). There were significantly increased rates of comorbidities associated with infection for all the renal patient groups. Logistic regression analysis showed that renal failure and renal dialysis were independent risk factors for early infection and revision, respectively.
