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Visualising Conversation Structure Across Time: Insights into Effective Doctor-patient Consultations

Overview
Journal PLoS One
Date 2012 Jun 14
PMID 22693629
Citations 21
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Abstract

Effective communication between healthcare professionals and patients is critical to patients' health outcomes. The doctor/patient dialogue has been extensively researched from different perspectives, with findings emphasising a range of behaviours that lead to effective communication. Much research involves self-reports, however, so that behavioural engagement cannot be disentangled from patients' ratings of effectiveness. In this study we used a highly efficient and time economic automated computer visualisation measurement technique called Discursis to analyse conversational behaviour in consultations. Discursis automatically builds an internal language model from a transcript, mines the transcript for its conceptual content, and generates an interactive visual account of the discourse. The resultant visual account of the whole consultation can be analysed for patterns of engagement between interactants. The findings from this study show that Discursis is effective at highlighting a range of consultation techniques, including communication accommodation, engagement and repetition.

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References
1.
Roter D, Larson S . The Roter interaction analysis system (RIAS): utility and flexibility for analysis of medical interactions. Patient Educ Couns. 2002; 46(4):243-51. DOI: 10.1016/s0738-3991(02)00012-5. View

2.
Smith A, Humphreys M . Evaluation of unsupervised semantic mapping of natural language with Leximancer concept mapping. Behav Res Methods. 2006; 38(2):262-79. DOI: 10.3758/bf03192778. View

3.
Hewett D, Watson B, Gallois C, Ward M, Leggett B . Intergroup communication between hospital doctors: implications for quality of patient care. Soc Sci Med. 2009; 69(12):1732-40. DOI: 10.1016/j.socscimed.2009.09.048. View

4.
Boon H, Stewart M . Patient-physician communication assessment instruments: 1986 to 1996 in review. Patient Educ Couns. 1999; 35(3):161-76. DOI: 10.1016/s0738-3991(98)00063-9. View

5.
Graugaard P, Holgersen K, Eide H, Finset A . Changes in physician-patient communication from initial to return visits: a prospective study in a haematology outpatient clinic. Patient Educ Couns. 2005; 57(1):22-9. DOI: 10.1016/j.pec.2004.03.014. View