There is little literature exploring clinical outcomes of secondarily displaced proximal humerus fractures. The aim of this study was to assess the rate of secondary displacement in undisplaced proximal humeral fractures (PHF) and their clinical outcomes. This was a retrospective cohort study of undisplaced PHFs at Royal Derby Hospital, UK, between January 2018-December 2019. Radiographs were reviewed for displacement and classified according to Neer's classification. Displacement was defined as translation of fracture fragments by greater than 1cm or 20° of angulation. Patients with pathological, periprosthetic, bilateral, fracture dislocations and head-split fractures were excluded along with those without adequate radiological follow-up.Abstract
Introduction
Methods
Individuals learn to master new motor skills (such as learning a new surgical technique) by evaluating available feedback to alter future performance. Continuous concurrent augmented feedback is supplementary information presented to the learner throughout the performance of a task. An example of this type of feedback is the visual information provided by computer navigation during arthroplasty surgery. This type of feedback is a potentially powerful tool for learning because it theoretically guides the learner to the correct response, reduces errors, and reinforces correct actions. However, motor learning theory suggests that this type of feedback may impair learning because of development of dependence on the additional feedback or distraction from intrinsic feedback. In the current era of reduced number of training hours it is essential to assess the role of computer navigation on trainees. Our objective was to determine whether computer navigation influences the learning curve of novices performing hip resurfacing arthroplasty. We conducted a systematic review and critical appraisal of the literature. There is some evidence from randomised controlled trials that navigation use by trainees facilitates accurate placement of arthroplasty components compared to conventional instrumentation. There is no evidence that training with computer navigation impairs performance in retention tests (re-testing on same task after an interval of time) or transfer tests (re-testing in different conditions i.e. without concurrent feedback). We conclude that although there are significant limitations of the published literature on this topic there is no available evidence that supports concerns regarding the theoretical detrimental effects of computer navigation on the learning curve of arthroplasty trainees.