Analyzing medical dialogues: strength and weakness of Roter’s interaction analysis system (RIAS)

Sandvik, Margareth; Eide, Hilde; Lind, Marianne; Graugaard, Peter Kjær; Torper, Jorun; Finset, Arnstein

doi:10.1016/s0738-3991(02)00014-9

Cited by 69 publications

(36 citation statements)

References 16 publications

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“…One might as well use a completely different empirical approach, analysing sequences without any a priori hypothesis (Sandvik et al, 2002;Del Piccolo et al, 2000). Explorative analyses first look at the question "what is in the data" to then generate hypotheses, our theory driven analysis goes the other way round.…”

Section: Discussionmentioning

confidence: 99%

A theory-based approach to analysing conversation sequences

Langewitz

Nübling

Weber

2003

Epidemiol Psichiatr Soc

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SUMMARY. Aims -To assess the quality of communication generally two procedures are used: one defines categories of utterances and counts their frequency, the other uses global observer ratings. We investigated whether a sequence-analysis of utterances yields results which more precisely reflect the process of a conversation. Methods -We re-examined data from a randomised controlled intervention study in which residents' interviews with simulated patients were analysed with the Maastricht History and Advice Checklist (MAAS-R) and the Roter Interaction Analysis System (RIAS). Using the U-file of the RIAS we studied the effect of different types of physician questions (open, closed questions, facilitators, other physician actions) on the length of uninterrupted patients' speech and content of utterances. We investigated also whether reciprocity indices improve after a communication skills training, and whether they correlate with global scores form MAAS-R. Results -Patients respond to a closed question with a mean of 1.78 (± 1.49) utterances as compared to 2.75 (± 2.72) utterances after an open question. The likelihood of a concern was more than lOfold higher after an open question compared to closed questions. Reciprocal sequences make up less than 2 percent of the conversation, Still, they correlate with global items form MAAS-R. The 'empathy index' improves after the training.Declararation of Interest: preparation of the manuscript was supported by a grant from OncoSuisse.

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Section: Discussionmentioning

confidence: 99%

A theory-based approach to analysing conversation sequences

Langewitz

Nübling

Weber

2003

Epidemiol Psichiatr Soc

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“…The use of social conversations was important and is one of the central measures in the Roter interaction analysis system 28,29 Where there was social conversation, patients were more likely to feel there was a communication and partnership approach, a personal relationship, and that the doctor was positive. Some of this may be reverse causality given that patients who know their doctor better are more likely to be engaged in social conversation and vice versa.…”

Section: Comparison With Existing Literaturementioning

confidence: 99%

Verbal and non-verbal behaviour and patient perception of communication in primary care: an observational study

et al. 2015

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“…In the MIARS, the basic unit of observation is each turn of speech, for both nurse and patient. A turn is everything a current speaker says before the next speaker takes over [26]. The MIARS distinguishes three levels of disclosure of patients' feelings.…”

Section: Independent Variablesmentioning

confidence: 99%

Nurse–patient communication in cancer care: does responding to patient's cues predict patient satisfaction with communication

Uitterhoeve

Bensing

Dilven³

et al. 2009

Psycho-Oncology

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Objective: The aim is to investigate the relationship between nurses' cue-responding behaviour and patient satisfaction.Methods: One hundred patient-nurse conversations about present concerns were videotaped and patients' expression of emotional cues and nurses' cue responses were coded using the Medical Interview Aural Rating Scale. Nurses (N 5 34) and patients (N 5 100) were recruited from seven oncology inpatient clinics from a University Medical Centre.Results: A mixed-model analysis was conducted to examine whether cue responding was related with patient satisfaction with the conversation, after adjusting for confounding variables and correlation due to repeated measure of each nurse. Nurses' cue responding was independently related to patient satisfaction. Controlling for the level of cue responding, palliatively treated patients were more satisfied with the communication than curatively treated patients.Conclusions: This study provides evidence that nurses' cue-responding behaviour is appreciated by the patients. Future studies might focus on the effect of improved cueresponding skill on more distal outcome measures, such as identification of concerns, mood and coping behaviour.

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Analyzing medical dialogues: strength and weakness of Roter’s interaction analysis system (RIAS)

Cited by 69 publications

References 16 publications

A theory-based approach to analysing conversation sequences

A theory-based approach to analysing conversation sequences

Verbal and non-verbal behaviour and patient perception of communication in primary care: an observational study

Nurse–patient communication in cancer care: does responding to patient's cues predict patient satisfaction with communication

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