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Social network analysis in medical education

Isba, Rachel and Woolf, Katherine and Hanneman, Robert (2017) Social network analysis in medical education. Medical Education, 51 (1). ISSN 0308-0110

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Abstract

CONTENT: Humans are fundamentally social beings. The social systems within which we live our lives (families, schools, workplaces, professions, friendship groups) have a significant influence on our health, success and well-being. These groups can be characterised as networks and analysed using social network analysis.\n\nSOCIAL NETWORK ANALYSIS: Social network analysis is a mainly quantitative method for analysing how relationships between individuals form and affect those individuals, but also how individual relationships build up into wider social structures that influence outcomes at a group level. Recent increases in computational power have increased the accessibility of social network analysis methods for application to medical education research.\n\nAPPLICATION TO MEDICAL EDUCATION: Social network analysis has been used to explore team-working, social influences on attitudes and behaviours, the influence of social position on individual success, and the relationship between social cohesion and power. This makes social network analysis theories and methods relevant to understanding the social processes underlying academic performance, workplace learning and policy-making and implementation in medical education contexts.\n\nCONCLUSIONS: Social network analysis is underused in medical education, yet it is a method that could yield significant insights that would improve experiences and outcomes for medical trainees and educators, and ultimately for patients.

Item Type: Journal Article
Journal or Publication Title: Medical Education
Subjects:
Departments: Faculty of Health and Medicine > Medicine
ID Code: 85061
Deposited By: ep_importer_pure
Deposited On: 07 Mar 2017 15:24
Refereed?: Yes
Published?: Published
Last Modified: 30 Apr 2019 02:34
Identification Number:
URI: http://eprints.lancs.ac.uk/id/eprint/85061

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