Pecanac2018

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Pecanac2018
BibType ARTICLE
Key Pecanac2018
Author(s) Kristen E. Pecanac
Title Combining conversation analysis and event sequencing to study health communication
Editor(s)
Tag(s) EMCA, Nursing, Health communication, Intensive care unit, Mixed methods
Publisher
Year 2018
Language English
City
Month
Journal Research in Nursing & Health
Volume 41
Number 3
Pages 312–319
URL Link
DOI https://doi.org/10.1002/nur.21863
ISBN
Organization
Institution
School
Type
Edition
Series
Howpublished
Book title
Chapter

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Abstract

Good communication is essential in patient‐centered care. The purpose of this paper is to describe conversation analysis and event sequencing and explain how integrating these methods strengthened the analysis in a study of communication between clinicians and surrogate decision makers in an intensive care unit. Conversation analysis was first used to determine how clinicians introduced the need for decision‐making regarding life‐sustaining treatment and how surrogate decision makers responded. Event sequence analysis then was used to determine the transitional probability (probability of one event leading to another in the interaction) that a given type of clinician introduction would lead to surrogate resistance or alignment. Conversation analysis provides a detailed analysis of the interaction between participants in a conversation. When combined with a quantitative analysis of the patterns of communication in an interaction, these data add information on the communication strategies that produce positive outcomes. Researchers can apply this mixed‐methods approach to identify beneficial conversational practices and design interventions to improve health communication.

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