Medical students studying Shakespeare may easily connect with patients: Study

Studying Shakespeare's plays could help medical students connect more closely with their patients, suggest the findings of a recent study by a palliative care doctor.

Writing in the Journal of the Royal Society of Medicine, Dr David Jeffrey, of the Department of Palliative Medicine at the University of Edinburgh, investigated how the playwright's empathic approach - the ability to understand and share the feelings of another - can enhance the patient-doctor relationship.

Dr Jeffrey stated that the idea that emotions are disruptive and need to be controlled is deeply ingrained in medical education and practice, contributing to doctors distancing from patients.

The coronavirus pandemic, with the need for personal protection, social distancing and video consultations has, he says, created challenges to establishing empathic relationships between patients and doctors.

He argued that a study of Shakespeare's plays may be a creative way of enhancing empathic approaches in medical students. Drawing on references from The Tempest, As You Like It and King Lear, he wrote, "It is remarkable that Shakespeare's work remains relevant today. It seems that he had an ability to anticipate our thoughts, particularly in times of crisis."

Dr Jeffrey described the way Shakespeare depicts the world from the other person's point of view, not just their understanding, but their emotions and their moral perspectives. This approach, he wrote, creates a space for interpretation and reflection, to experience empathy. "Creating such a space for reflection is a central part of clinical practice and medical education," he stated.

He added, "Shakespeare speaks through times of crisis, underlining the centrality of empathic human relationships. Medical humties are often on the fringes of medical education but should be central to medicine culture change. A special study module would be one way of introducing Shakespeare studies to the undergraduate curriculum."

( With inputs from ANI )