5 - All research
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Item Reflecting with compassion on student feedback : teaching social sciences in Medicine(2018) Lowe, Wendy; University of Aberdeen.Medical EducationItem An innovative and authentic way of learning how to consult remotely in response to the COVID-19 pandemic(2022) Cannon, Philip; Lumsden, Linzi; Wass, Valerie; University of Aberdeen.Medical EducationItem Spiritual care training and the GP curriculum : where to now?(2019) Appleby, Alistair; Swinton, John; Wilson, Philip; University of Aberdeen.Other Applied Health Sciences; University of Aberdeen.Divinity; University of Aberdeen.Institute of Applied Health SciencesItem Attitudes of advanced Australian medical oncology trainees to rural practice(Blackwell Publishing, 2008-03) Francis, Heather Marion; Clarke, Kerrie A.; Steer, Christopher B.; Francis, Jillian Joy; Underhill, Craig R.Aim: To identify the views of medical oncology trainees regarding rural training posts and rural practice overall, and to identify factors that may improve recruitment. Methods: A questionnaire was posted to all advanced oncology trainees in Australia in June 2006. The trainees were questioned on the perceived advantages and disadvantages of rural practice, their experience during previous rural rotations and potential incentives and barriers in recruiting trainees and specialist oncologists to regional and rural centers. Results: There was a 60% response rate. Of all participants 58% had considered rural practice. Those with a rural family background were more likely to have considered rural practice. Attitudes based on responses to listed disadvantages and advantages of rural practice were heterogenous. Lifestyle factors seemed to be of particular importance. Although there were perceived deficiencies in opportunities for professional education in rural oncology rotations, 94% felt their rotation had been a positive experience overall and 62% were more likely to consider a rural career following their rural rotation. Improving locum cover for leave was seen as a potential incentive by 97% trainees. Conclusion: Despite positive attitudes towards rural practice, many barriers exist preventing recruitment of medical oncology trainees to rural areas, in particular lifestyle factors that are difficult to modify. Factors that can be improved include improving access to clinical trials, enabling access to locum cover. Educational opportunities for current rural trainees need to be improved. Further study into potential incentives to enhance rural recruitment is required.Item Contamination in trials of educational interventions(Gray Publishing, 2007-10) Keogh-Brown, M.R.; Bachmann, M.O.; Shepstone, L.; Hewitt, C.; Howe, A.; Ramsay, Craig R; Song, F; Miles, J.N.V.; Torgerson, D.J.; Miles, S.; Elbourne, Diana R.; Harvey, I.; Campbell, M.J.Objectives: To consider the effects of contamination on the magnitude and statistical significance (or precision) of the estimated effect of an educational intervention, to investigate the mechanisms of contamination, and to consider how contamination can be avoided. Data sources: Major electronic databases were searched up to May 2005. Methods: An exploratory literature search was conducted. The results of trials included in previous relevant systematic reviews were then analysed to see whether studies that avoided contamination resulted in larger effect estimates than those that did not. Experts’ opinions were elicited about factors more or less likely to lead to contamination. We simulated contamination processes to compare contamination biases between cluster and individually randomised trials. Statistical adjustment was made for contamination using Complier Average Causal Effect analytic methods, using published and simulated data. The bias and power of cluster and individually randomised trials were compared, as were Complier Average Causal Effect, intention-to-treat and per protocol methods of analysis. Results: Few relevant studies quantified contamination. Experts largely agreed on where contamination was more or less likely. Simulation of contamination processes showed that, with various combinations of timing, intensity and baseline dependence of contamination, cluster randomised trials might produce biases greater than or similar to those of individually randomised trials. Complier Average Causal Effect analyses produced results that were less biased than intention-to-treat or per protocol analyses. They also showed that individually randomised trials would in most situations be more powerful than cluster randomised trials despite contamination. Conclusions: The probability, nature and process of contamination should be considered when designing and analysing controlled trials of educational interventions in health. Cluster randomisation may or may not be appropriate and should not be uncritically assumed always to be a solution. Complier Average Causal Effect models are an appropriate way to adjust for contamination if it can be measured. When conducting such trials in future, it is a priority to report the extent, nature and effects of contamination.