Literature DB >> 12916452

Exploring rare patient behaviour with sequential analysis: an illustration.

Hilde Eide1, Vicenç Quera, Arnstein Finset.   

Abstract

AIMS: To illustrate the application of sequence analysis to the study of rare patient behaviour in physician-patient dialogue. The rare behaviour in question here is patients' expression of emotional cues and concerns. We investigate which physician behaviours precede and follow such expressions.
METHODS: Thirty-five cancer-patient consultations performed by four oncologists (two male and two female) were analysed. The consultations were coded with the Roter Interaction Analysis System (RIAS). Sequence analysis by means of Sequential Data Interchange Standard (SDIS) and the Generalized Sequential Querier (GSEQ) was applied to the coded data. Lag analysis (using RIAS categories) was applied to associate the given behaviour (patient 'concerns') with target behaviours (physician utterances).
RESULTS: For female physicians the significantly associated behaviour before the patient's expression of concern was reassurance, while male physicians also applied facilitation behaviour. After patients' expression of concern both reassurance and facilitating behaviour were shown by physicians of both genders.
CONCLUSIONS: Sequence analysis appears to be a clinically meaningful and statistically sound method for analysing are patient utterances and associated physician behaviour.

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Year:  2003        PMID: 12916452     DOI: 10.1017/s1121189x00006175

Source DB:  PubMed          Journal:  Epidemiol Psichiatr Soc        ISSN: 1121-189X


  4 in total

1.  Interactive and evaluative correlates of dialogue sequence: a simulation study applying the RIAS to turn taking structures.

Authors:  Debra L Roter; Susan M Larson; Mary Catherine Beach; Lisa A Cooper
Journal:  Patient Educ Couns       Date:  2008-02-21

2.  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

3.  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

4.  How Do medical students respond to emotional cues and concerns expressed by simulated patients during OSCE consultations?--a multilevel study.

Authors:  Yuefang Zhou; Alex Collinson; Anita Laidlaw; Gerry Humphris
Journal:  PLoS One       Date:  2013-10-23       Impact factor: 3.240

  4 in total

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