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Background: Anxiety and depression are common in people with multiple sclerosis (MS), but data on emotional communication during MS consultations are lacking. We assessed patient expressions of emotion and neurologist responses during first-ever MS consultations using the Verona Coding Definitions of Emotional Sequences (VR-CoDES). Methods: We applied VR-CoDES to recordings/transcripts of 88 outpatient consultations (10 neurologists, four MS Italian centers). Before consultation, patients completed the Hospital Anxiety and Depression Scale (HADS). Multilevel sequential analysis was performed on the number of cues/concerns expressed by patients, and the proportion of reduce space responses by neurologists. Results: Patients expressed 492 cues and 45 concerns (median 4 cues and 1 concern per consultation). The commonest cues were verbal hints of hidden worries (cue type b, 41%) and references to stressful life events (type d, 26%). Variables independently associated with number of cues/concerns were: anxiety (HADS-Anxiety score >8) (incidence risk ratio, IRR 1.08, 95% CI 1.06-1.09; p<0.001); patient age (IRR 0.98, 95% CI 0.98-0.99; p<0.001); neurologist age (IRR 0.94, 95% CI 0.92-0.96; p=0.03); and second opinion consultation (IRR 0.72, 95% CI 0.60-0.86; p=0.007). Neurologists reacted to patient emotions by reducing space (changing subject, taking no notice, giving medical advice) for 58% of cues and 76% of concerns. Anxiety was the only variable significantly associated with ‘reduce space’ responses (odds ratio 2.17, 95% CI 1.32-3.57; p=0.003). Conclusions: Patient emotional expressions varied widely, but VR-CoDES cues b and d were expressed most often. Patient anxiety was directly associated with emotional expressions; older age of patients and neurologists, and second opinion consultations were inversely associated with patient emotional expression. In over 50% of instances, neurologists responded to these expressions by reducing space, more so in anxious patients. These findings suggest that neurologists need to improve their skills in dealing with patient emotions. [ABSTRACT FROM AUTHOR]

Objective: To present a method to classify health provider responses to patient cues and concerns according to the VR-CoDES-CC (Del Piccolo et al. (2009) and Zimmermann et al. (submitted for publication) ). The system permits sequence analysis and a detailed description of how providers handle patient's expressions of emotion. Methods: The Verona-CoDES-P system has been developed based on consensus views within the “Verona Network of Sequence Analysis”. The different phases of the creation process are described in detail. A reliability study has been conducted on 20 interviews from a convenience sample of 104 psychiatric consultations. Results: The VR-CoDES-P has two main classes of provider responses, corresponding to the degree of explicitness (yes/no) and space (yes/no) that is given by the health provider to each cue/concern expressed by the patient. The system can be further subdivided into 17 individual categories. Statistical analyses showed that the VR-CoDES-P is reliable (agreement 92.86%, Cohen's kappa 0.90 (±0.04) p <0.0001). Conclusion: Once validity and reliability are tested in different settings, the system should be applied to investigate the relationship between provider responses to patients’ expression of emotions and outcome variables. Practice implications: Research employing the VR-CoDES-P should be applied to develop research-based approaches to maximize appropriate responses to patients’ indirect and overt expressions of emotional needs. [Copyright &y& Elsevier]

Objective: To present the Verona Coding Definitions of Emotional Sequences (VR-CoDES CC), a consensus based system for coding patient expressions of emotional distress in medical consultations, defined as Cues or C oncerns. Methods: The system was developed by an international group of communication researchers. First, consensus was reached in different steps. Second, a reliability study was conducted on 20 psychiatric consultations. Results: A Cue is defined as a verbal or non-verbal hint which suggests an underlying unpleasant emotion that lacks clarity. A Concern is defined as a clear and unambiguous expression of an unpleasant current or recent emotion that is explicitly verbalized with or without a stated issue of importance. The conceptual framework sets precise criteria for cues and concerns and for whom (health provider or patient) elicits the cue/concern. Inter-rater reliability proved satisfactory (agreement 81.5%, Cohen's Kappa 0.70). Conclusion: The VR-CoDES CC will facilitate comparative research on provider–patient communication sequences in which patients express emotional distress. Practice implications: The VR-CoDES CC may be used to help clinicians in recognizing or facilitating cues and concerns, thereby improving the recognition of patients’ emotional distress, the therapeutic alliance and quality of care for these patients. [Copyright &y& Elsevier]

Abstract: The aims of the study were to explore the importance of macro (patient, physician, consultation) and micro (doctor–patient speech sequences) variables in promoting patient cues (unsolicited new information or expressions of feelings), and to describe the methodological implications related to the study of speech sequences. Patient characteristics, a consultation index of partnership and doctor–patient speech sequences were recorded for 246 primary care consultations in six primary care surgeries in Verona, Italy. Homogeneity and stationarity conditions of speech sequences allowed the creation of a hierarchy of multilevel logit models including micro and macro level variables, with the presence/absence of cues as the dependent variable. We found that emotional distress of the patient increased cues and that cues appeared among other patient expressions and were preceded by physicians’ facilitations and handling of emotion. Partnership, in terms of open-ended inquiry, active listening skills and handling of emotion by the physician and active participation by the patient throughout the consultation, reduced cue frequency. [Copyright &y& Elsevier]