A pilot of modified Conversation Analytic Role-play Method for one-to-one clinical communication training

Research output: Contribution to journalArticlepeer-review

5 Citations (Scopus)


Objective: It can be difficult to identify specific skills to improve communication, particularly if feedback is generalised or vague. With the aim of providing specific feedback for improved doctor-patient communication, we piloted a modified Conversation Analytic Roleplay Method (CARM) for one-to-one training. Methods: We recorded one surgical registrar during ward rounds in a hospital. These seven consultations were then analysed and an individualised CARM workshop, utilising the findings and related published evidence, was developed and delivered. One month after this workshop, another nine consultations were recorded and analysed. Results: There were three “trainables” identified in the initial analysis that formed the basis of the personalised workshop. Analysis of the post-training recordings showed that the verbal behaviours were mostly modified but the non-verbal behaviour generally was not. Conclusion: By facilitating reflection on and close analysis of his own interaction using CARM, we were able to assist this doctor in modifying some of his communication behaviours. Practice implications: Personalised video-based training enables the identification of an individual's practice, allowing for specific feedback and engaging participants with the analysis of their own talk. This makes it potentially an ideal method for helping those struggling to improve with other training methods.

Original languageEnglish
Pages (from-to)2748-2755
Number of pages8
JournalPatient Education and Counseling
Issue number11
Publication statusPublished - Nov 2021


  • Communication skills training
  • Continuing medical education
  • Conversation analysis
  • Conversation analytic role-play method


Dive into the research topics of 'A pilot of modified Conversation Analytic Role-play Method for one-to-one clinical communication training'. Together they form a unique fingerprint.

Cite this