Nonverbal accommodation in health care communication Journal Article


Authors: D'Agostino, T. A.; Bylund, C. L.
Article Title: Nonverbal accommodation in health care communication
Abstract: This exploratory study examined patterns of nonverbal accommodation within health care interactions and investigated the impact of communication skills training and gender concordance on nonverbal accommodation behavior. The Nonverbal Accommodation Analysis System (NAAS) was used to code the nonverbal behavior of physicians and patients within 45 oncology consultations. Cases were then placed in one of seven categories based on patterns of accommodation observed across the interaction. Results indicated that across all NAAS behavior categories, physician-patient interactions were most frequently categorized as joint convergence, followed closely by asymmetrical-patient convergence. Among paraverbal behaviors, talk time, interruption, and pausing were most frequently characterized by joint convergence. Among nonverbal behaviors, eye contact, laughing, and gesturing were most frequently categorized as asymmetrical-physician convergence. Differences were predominantly nonsignificant in terms of accommodation behavior between pre- and post-communication skills training interactions. Only gesturing proved significant, with post-communication skills training interactions more likely to be categorized as joint convergence or asymmetrical-physician convergence. No differences in accommodation were noted between gender-concordant and nonconcordant interactions. The importance of accommodation behavior in health care communication is considered from a patient-centered care perspective. Copyright © Taylor & Francis Group, LLC.
Journal Title: Health Communication
Volume: 29
Issue: 6
ISSN: 1041-0236
Publisher: Routledge  
Date Published: 2014-07-01
Start Page: 563
End Page: 573
Language: English
DOI: 10.1080/10410236.2013.783773
PROVIDER: scopus
PUBMED: 24138223
PMCID: PMC4939478
DOI/URL:
Notes: Export Date: 1 May 2014 -- Source: Scopus
Altmetric
Citation Impact
BMJ Impact Analytics
MSK Authors