Literature DB >> 19097842

The analysis of verbal interaction sequences in dyadic clinical communication: a review of methods.

Martin Connor1, Ian Fletcher, Peter Salmon.   

Abstract

OBJECTIVE: To identify methods available for sequential analysis of dyadic verbal clinical communication and to review their methodological and conceptual differences.
METHODS: Critical review, based on literature describing sequential analyses of clinical and other relevant social interaction.
RESULTS: Dominant approaches are based on analysis of communication according to its precise position in the series of utterances that constitute event-coded dialogue. For practical reasons, methods focus on very short-term processes, typically the influence of one party's speech on what the other says next. Studies of longer-term influences are rare. Some analyses have statistical limitations, particularly in disregarding heterogeneity between consultations, patients or practitioners. Additional techniques, including ones that can use information about timing and duration of speech from interval-coding are becoming available.
CONCLUSION: There is a danger that constraints of commonly used methods shape research questions and divert researchers from potentially important communication processes including ones that operate over a longer-term than one or two speech turns. Given that no one method can model the complexity of clinical communication, multiple methods, both quantitative and qualitative, are necessary. PRACTICE IMPLICATIONS: Broadening the range of methods will allow the current emphasis on exploratory studies to be balanced by tests of hypotheses about clinically important communication processes.

Entities:  

Mesh:

Year:  2008        PMID: 19097842     DOI: 10.1016/j.pec.2008.10.006

Source DB:  PubMed          Journal:  Patient Educ Couns        ISSN: 0738-3991


  13 in total

1.  Automating annotation of information-giving for analysis of clinical conversation.

Authors:  Elijah Mayfield; M Barton Laws; Ira B Wilson; Carolyn Penstein Rosé
Journal:  J Am Med Inform Assoc       Date:  2013-09-12       Impact factor: 4.497

2.  Time-window sequential analysis: an introduction for pediatric psychologists.

Authors:  Jill MacLaren Chorney; Abbe Marrs Garcia; Kristoffer S Berlin; Roger Bakeman; Zeev N Kain
Journal:  J Pediatr Psychol       Date:  2010-04-14

3.  Dynamic modeling of patient and physician eye gaze to understand the effects of electronic health records on doctor-patient communication and attention.

Authors:  Enid Montague; Onur Asan
Journal:  Int J Med Inform       Date:  2013-11-28       Impact factor: 4.046

4.  Modeling eye gaze patterns in clinician-patient interaction with lag sequential analysis.

Authors:  Enid Montague; Jie Xu; Ping-Yu Chen; Onur Asan; Bruce P Barrett; Betty Chewning
Journal:  Hum Factors       Date:  2011-10       Impact factor: 2.888

5.  Discussion of sexual risk behavior in HIV care is infrequent and appears ineffectual: a mixed methods study.

Authors:  M Barton Laws; Ylisabyth S Bradshaw; Steven A Safren; Mary Catherine Beach; Yoojin Lee; William Rogers; Ira B Wilson
Journal:  AIDS Behav       Date:  2011-05

6.  How physician electronic health record screen sharing affects patient and doctor non-verbal communication in primary care.

Authors:  Onur Asan; Henry N Young; Betty Chewning; Enid Montague
Journal:  Patient Educ Couns       Date:  2014-12-12

Review 7.  Using video-based observation research methods in primary care health encounters to evaluate complex interactions.

Authors:  Onur Asan; Enid Montague
Journal:  Inform Prim Care       Date:  2014

8.  Problems and processes in medical encounters: the cases method of dialogue analysis.

Authors:  M Barton Laws; Tatiana Taubin; Tanya Bezreh; Yoojin Lee; Mary Catherine Beach; Ira B Wilson
Journal:  Patient Educ Couns       Date:  2013-02-04

9.  Hospice nurse communication with patients with cancer and their family caregivers.

Authors:  Lee Ellington; Maija Reblin; Margaret F Clayton; Patricia Berry; Kathleen Mooney
Journal:  J Palliat Med       Date:  2012-02-17       Impact factor: 2.947

10.  Patient-provider communication data: linking process and outcomes in oncology care.

Authors:  Lisa Kennedy Sheldon; Fangxin Hong; Donna Berry
Journal:  Cancer Manag Res       Date:  2011-11-18       Impact factor: 3.989

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