GP trainee responses to using SHERPA for multimorbidity consultations.

UK general practitioner (GP) trainees are taught a consultation model which elicits the patients' main reason for consulting 'today'. This approach will often miss important issues for the increasing number of patients with multimorbidity. We developed the SHERPA model as a person-centred biopsychosocial framework for consulting patients with multimorbidity to address this. We aimed to examine GPs trainees' responses to SHERPA when integrated into their vocational training. The research design was qualitative and participants were GPs trainees in vocational training from one UK training location. GP trainees were introduced to the SHERPA model through interactive workshops. Qualitative data were collected from 16 participants, through four hours of teaching observation, 24 feedback templates, six practical applications of SHERPA and eight one-to-one interviews. Data were transcribed, and, using the Framework approach, systematically analysed, focussing on trainees' learning and application of the model. The results demonstrated that all participants engaged well with the teaching sessions, brought observations from their own experience, and reflected on particularly complex consultations. Half of the participants applied SHERPA successfully with their patients, particularly repeat attenders. Barriers to this approach were: selecting appropriate patients; perceived time pressure; lack of familiarity using the model; viewing SHERPA as 'additional', rather than integral, to shared decision-making in complex situations. The SHERPA model was viewed as helpful by these GP trainees for patients with whom they had established a relationship. Earlier introduction and regular support from trainers, where trainees reflect on experience of SHERPA, could increase confidence in using this method.

Embracing complexity with systems thinking in general practitioners' clinical reasoning helps handling uncertainty.

Clinical reasoning in general practice is increasingly challenging because of the rise in the number of patients with multimorbidity. This creates uncertainty because of unpredictable interactions between the symptoms from multiple medical problems and the patient's personality, psychosocial context and life history. Case analysis may then be more appropriately managed by systems thinking than by hypothetic-deductive reasoning, the predominant paradigm in the current teaching of clinical reasoning. Application of "systems thinking" tools such as causal loop diagrams allows the patient's problems to be viewed holistically and facilitates understanding of the complex interactions. We will show how complexity levels can be graded in clinical reasoning and demonstrate where and how systems thinking can have added value by means of a case history.