Integrating training in evidence-based medicine and shared decision-making: a qualitative study of junior doctors and consultants.

BACKGROUND: In the past, evidence-based medicine (EBM) and shared decision-making (SDM) have been taught separately in health sciences and medical education. However, recognition is increasing of the importance of EBM training that includes SDM, whereby practitioners incorporate all steps of EBM, including person-centered decision-making using SDM. However, there are few empirical investigations into the benefits of training that integrates EBM and SDM (EBM-SDM) for junior doctors, and their influencing factors. This study aimed to explore how integrated EBM-SDM training can influence junior doctors' attitudes to and practice of EBM and SDM; to identify the barriers and facilitators associated with junior doctors' EBM-SDM learning and practice; and to examine how supervising consultants' attitudes and authority impact on junior doctors' opportunities for EBM-SDM learning and practice. METHODS: We developed and ran a series of EBM-SDM courses for junior doctors within a private healthcare setting with protected time for educational activities. Using an emergent qualitative design, we first conducted pre- and post-course semi-structured interviews with 12 junior doctors and thematically analysed the influence of an EBM-SDM course on their attitudes and practice of both EBM and SDM, and the barriers and facilitators to the integrated learning and practice of EBM and SDM. Based on the responses of junior doctors, we then conducted interviews with ten of their supervising consultants and used a second thematic analysis to understand the influence of consultants on junior doctors' EBM-SDM learning and practice. RESULTS: Junior doctors appreciated EBM-SDM training that involved patient participation. After the training course, they intended to improve their skills in person-centered decision-making including SDM. However, junior doctors identified medical hierarchy, time factors, and lack of prior training as barriers to the learning and practice of EBM-SDM, whilst the private healthcare setting with protected learning time and supportive consultants were considered facilitators. Consultants had mixed attitudes towards EBM and SDM and varied perceptions of the role of junior doctors in either practice, both of which influenced the practice of junior doctors. CONCLUSIONS: These findings suggested that future medical education and research should include training that integrates EBM and SDM that acknowledges the complex environment in which this training must be put into practice, and considers strategies to overcome barriers to the implementation of EBM-SDM learning in practice.

Improving availability and accuracy of the junior doctors' on-call handover through digitalisation.

Clinical handovers from out-of-hours activity are essential for relaying information about events such as new admissions, outstanding or complete investigations, physical health reviews, ward jobs and risk. This information enables the day team to effectively prioritise and follow-up any necessary tasks.Junior doctors at a hospital site in the London Borough of Newham were aware that the existing handover system, constituted of a word document circulated via email, was lacking robustness and that the handover was not sent out reliably on a daily basis.Quality improvement (QI) methods including process mapping, PDSA ('Plan, Do, Study, Act') cycles, driver diagrams and run charts were used to understand the issue, create a more robust process and measure the improvements made, all supported by regular QI project meetings. The change ideas included moving from an informal Microsoft (MS) Word document, which was emailed out, to an Excel spreadsheet stored centrally on MS Teams. Column headers were added for admissions, ward jobs, seclusion reviews, matters relating to mental health law and Accident and Emergency (A&E) assessments, as well as defined columns for outstanding jobs and standard tasks that need to be completed for all admissions. Responsibility for circulating the handover list was given to the incoming day duty doctor if the night doctor was too busy, with admin support to chase the circulation of the handover. Results were studied for the following 18 months.The percentage of handovers being appropriately sent out increased from a median of 80% to 100% during the project period, and the availability of handover data where the data were visible to doctors on MS Teams but had not been sent out also increased from a median of 80% to 100%. The system was deemed safe, effective and easy to use, and has already been replicated at neighbouring hospitals.

AMU patient list generation: from junior scribe to junior doctor.

This quality improvement project (QIP) aimed to assess the impact of automating patient list generation on the acute medical unit (AMU) at Sandwell and West Birmingham Hospitals NHS Trust. The AMU patient list categorises patients requiring 'clerking', 'post-take' (PTWR) and 'post-post-take' (PPTWR) for the morning ward round. During weekdays, this list need only include the patients in AMU. For weekends, this list must include 'outliers', that is, patients transferred to different wards (which may lack resident medical teams over the weekends) but still requiring PTWR/PPTWR. The list is created by the junior doctor on their night shift, a daily necessity due to the high AMU patient turnover.A pilot study, followed by three complete 'plan-do-study-act' (PDSA) cycles, was conducted over 2021/2022. Cycle 1 (pre-intervention) and cycle 2 (post-intervention) assessed the impact of the generator on weekdays. This was adapted for the weekend over cycles 2 and 3. The process measure assessed was the time taken for list generation. The outcome measure was the total number of patients clerked per night. The balancing measure was doctors' attitudes.The intervention reduced the time taken for list generation by an average of 44.3 min (66.3%) during weekdays and 37.8 min (42%) during weekends. Run charts demonstrated significance for the reduction in weekday list generation time. Both weekdays (63.5% decrease, p<0.00001) and weekends (50.5% decrease, p=0.0007) had significant reductions in total negative attitudes. Both weekdays and weekends had 'time-consuming' as the most frequently selected attitude pre-intervention, whereas 'easy to make' was most frequently selected post-intervention. Some junior doctors reported the generator enabled clerking of extra patients, supported by non-significant increases in the averages for this outcome.This QIP demonstrates how the automation of labour-intensive administrative tasks results in notable time-saving outcomes. Thereby improving doctor attitudes and well-being, and facilitating the delivery of quality patient care.