An instrument for evaluating medical interview in general practice: the VR-MICS/D (Verona-Medical Interview Classification System/Doctor)

Saltini, Anna; Cappellari, Davide; Cellerino, Paola; Piccolo, Lidia Del; Zimmermann, Christa

doi:10.1017/s1121189x00007405

Cited by 16 publications

(19 citation statements)

References 43 publications

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“…The VR-MICS consists of two distinct classification systems, one for physician speech (Saltini et al, 1998) and one for patient speech (Del Piccolo et al, 1999), containing 22 and 21 mutually exclusive categories respectively. The identification and classification of verbal events are coded on transcripts.…”

Section: The Verona Medical Interview Classification System (Vr-mics)mentioning

confidence: 99%

Patient cues and medical interviewing in general practice: examples of the application of sequential analysis

Zimmermann

Piccolo

Mazzi

2003

Epidemiol Psichiatr Soc

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SUMMARYAims – To illustrate how sequence analysis may be applied to the medical interview to: 1. explore how physicians without formal training in communication skills elicit and respond to patient cues and expression of expectations and opinions; and 2. test the hypothesis that physicians' closed ended questions determine the use of subsequent closed ended questions. Methods – 238 consultations in primary care, coded with the Verona Medical Interview Classification System, were analysed. Lag 1 analysis was applied to study which physician behaviour precedes and follows patient cues. Pattern recognition analysis for five lag sequences was performed to test the occurrence of predefined specific code chains, where a closed and an open ended question were followed either by two closed-ended questions or by two patient facilitating interventions Results – Patients' cue offers were most likely after facilitative interventions, but not after open-ended questions; physicians were most likely to respond to these expressions with facilitation. Physicians' tendency to use closed ended questions increased after previous closed questions and decreased after an open-ended question. Conclusions – Lag sequential analysis and pattern recognition analysis are useful methods to study exploratory and theory driven hypotheses and allow an initial approach to validate the supposed appropriateness of specific physician interventions.Declaration of Interest: none.

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Section: The Verona Medical Interview Classification System (Vr-mics)mentioning

confidence: 99%

Patient cues and medical interviewing in general practice: examples of the application of sequential analysis

Zimmermann

Piccolo

Mazzi

2003

Epidemiol Psichiatr Soc

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“…The raters of the inter rater reliability study of the VR‐MICS (Saltini et al . 1998; Del Piccolo et al .…”

Section: Methodsmentioning

confidence: 99%

“…The VR‐MICS consists of 43 mutually exclusive categories, 22 for doctor and 21 for patient speech. Satisfactory interrater reliability (Saltini et al . 1998; Del Piccolo et al .…”

Section: Methodsmentioning

confidence: 99%

Information‐giving sequences in general practice consultations

Goss

Mazzi

Piccolo

et al. 2005

Evaluation Clinical Practice

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“…The dynamics of communication, which has been tried to measure on the basis of verbal participation questionnaires [36], as well in relation with some aspects of patient-centered communication [37], as well using the Rotter interaction analysis [38], or by studying different aspects of the biopsychosocial model in the clinical interview [39], or by measuring whether family history and family problems were being taken into account during the visit [40], by the percent of total visit speech [36], by physician statements that were analyzed and coded as social talk, physician-centered statements, patient-centered statements, and discussion of patient affect, family, health promotion, and patient education [39], by cluster analysis [41], by means of coding what physicians say when they are trying to influence patients' behaviors [42], by audio recorded, and categorized using the Medical Communications Behavior System and using Synote, a freely available application enabling synchronization of audio recordings with transcripts and coded notes [8], or by Revised Maastricht HistoryTaking and Advice checklist (MAAS-R) [25], by the VR-MICS/D (Verona-Medical Interview Classification System/Doctor) [43,44], using Stiles' Verbal Response Mode coding system (VRM) [9,45], by Bales Interaction Process Analysis [46], by means of focusing upon the relational aspects of communication to interpret the diversity of patients' verbal communications to the female interviewer [26], and the classification of Byrne and Long [47], among other.…”

Section: Introductionmentioning

confidence: 99%

Gender Differences in Verbal Behavior Style in Interviews in Family Medicine: Mars and Venus, or North Dakota and South Dakota?

Turabián¹,

Le²,

Moreno-Ruiz³

et al. 2017

J Women's Health Care

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Objective: To describe and compare the doctor-patient communication referred to the verbal behavior of the female patients vs. males in the family medicine consultation. Participants and Methods:Secondary analysis of existing dataset coded to explore patient-clinician verbal communication during ambulatory visits in a family medicine office in a health Centre in Toledo (Spain) was carried out. The audio recording of the consultations and verbal content analysis of the interviews, based on the identification of 6 categories of classification of behaviors of the interaction process (Proposing, Supporting/ Agreeing, Disagreeing, Giving Information, Seeking Information, and Building) was performed. A convenience sample was carried out. Other variables included were age, sex and duration of the consultation in minutes. Triangulation between different evaluators, and methodological (qualitative and quantitative) was used as a technique to control the reliability and biases. Once the qualitative study is completed, the results of the number of behaviors in the total of triadic and dyadic consultations were presented in a quantitative way (Frequencies: No, %). The bivariate comparisons were performed using the test of Chi squared and exact probability Fischer.Results: 20 consultations were included in the analysis. In interviews with women vs. males, differed only in showing more "Supporting" (39% and 29%, respectively; p=0.05), and less "Disagreement" (3% and 11% respectively; p<0.05). There were no differences in the verbal behaviors of the physician in the consultations with female vs. male patients. There were also no differences in the duration of the consultation among female patients vs. males (7': rank: 3'-15' vs. 7'; rank: 4'-12'). Conclusion:The verbal behavior in interview in the family medicine consultation with female patients vs. males shows only small differences. Neither men are of Mars nor the women of Venus; may be men are from North Dakota and women from South Dakota.

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An instrument for evaluating medical interview in general practice: the VR-MICS/D (Verona-Medical Interview Classification System/Doctor)

Cited by 16 publications

References 43 publications

Patient cues and medical interviewing in general practice: examples of the application of sequential analysis

Patient cues and medical interviewing in general practice: examples of the application of sequential analysis

Information‐giving sequences in general practice consultations

Gender Differences in Verbal Behavior Style in Interviews in Family Medicine: Mars and Venus, or North Dakota and South Dakota?

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