Hostname: page-component-78c5997874-fbnjt Total loading time: 0 Render date: 2024-11-19T06:44:07.638Z Has data issue: false hasContentIssue false

A theory-based approach to analysing conversation sequences

Published online by Cambridge University Press:  11 October 2011

Wolf Langewitz*
Affiliation:
Division Psychosomatic Medicine, Department of Internal Medicine, University Hospital Basel, Basel, Switzerland
Matthias Nübling
Affiliation:
Society for Empirical Consulting (GEB), Freiburg i. Brsg., Germany
Heidemarie Weber
Affiliation:
Division Psychosomatic Medicine, Department of Internal Medicine, University Hospital Basel, Basel, Switzerland
*
Address for correspondence: Professor Dr. Wolf Langewitz, Petersgraben 4, CH-4031 Basel (Switzerland). E-mail: [email protected]

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.

Type
Sequence Analysis of Patient-Provider Interaction
Copyright
Copyright © Cambridge University Press 2003

Access options

Get access to the full version of this content by using one of the access options below. (Log in options will check for institutional or personal access. Content may require purchase if you do not have access.)

References

REFERENCES

Bensing, J.M. & Langewitz, W. 2002. Die ärztliche Konsultation. In Psychosomatische Medizin, 6* ed. (ed. Uexkiill, T. vonet al.), pp. 415–414. Urban & Fischer: Munich.Google Scholar
Delbanco, T.L. 1992. Enriching the doctor-patient relationship by inviting the patient's perspective. Annals of Internal Medicine 116, 414418.CrossRefGoogle Scholar
Del Piccolo, L., Saltini, A., Zimmermann, C., & Dunn, G. 2000. Differences in verbal behaviours of patients with and without emotional distress during primary care consultations. Psychological Medicine 30, 629643.CrossRefGoogle ScholarPubMed
Krupp, W., Spanehl, O., Laubach, W. & Seifertet, V. 2000. Informed consent in neurosurgery: patients' recall of preoperative discussion. Ada Neurochirurgica 142, 233239.CrossRefGoogle Scholar
Langewitz, W., Keller, A., Denz, M., Wossmer-Buntschu, B. & Kiss, A. 1995. Patienten Zufriedenheits-Fragebogen (PZF): Ein taugliches Mittel zur Qualitatskontrolle der Arzt-Patient-Beziehung? [The Patient Satisfaction Questionnaire: a suitable tool for quality control in the physician-patient relationship?]. Psychotherapie, Psychosomatik, Medizinische Psychologie 45, 351357.Google Scholar
Langewitz, W.A., Eich, P., Kiss, A. & Wossmer, B. 1998. Improving communication skills–a randomized controlled behaviorally oriented intervention study for residents in internal medicine. Psychosomatic Medicine 60, 268276.CrossRefGoogle ScholarPubMed
Levinson, W. & Roter, D. 1993. The effects of two continuing medical education programs on communication skills of practicing primary care physicians. Journal of General Internal Medicine 8, 318324.CrossRefGoogle ScholarPubMed
Matthews, D.A. & Feinstein, A.R. 1989. A new instrument for patients' ratings of physician performance in the hospital setting. Journal of General Internal Medicine 4, 1422.CrossRefGoogle Scholar
Mead, N. & Bower, P. 2002. Patient-centred consultations and outcomes in primary care: a review of the literature. Patient Education and Counseling 48, 5161.CrossRefGoogle ScholarPubMed
Roter, D.L. & Hall, J.A. 1992. Doctors Talking with Patients/Patients Talking with Doctors: Improving Communication in Medical Visits. Auburn House: Westort CT.Google Scholar
Roter, D. & Larson, S 2002. The Roter interaction analysis system (RIAS): utility and flexibility for analysis of medical interactions. Patient Education and Counseling 46, 243251.CrossRefGoogle ScholarPubMed
Sandvik, M., Eide, H., Lind, M., Graugaard, P.K., Torper, J. & Finset, A. 2002. Analyzing medical dialogues: strength and weakness of Roter's interaction analysis system (RIAS). Patient Education and Counseling 46, 235241.CrossRefGoogle ScholarPubMed
Schillinger, D., Piette, J., Grumbach, K., Wang, F., Wilson, C., Daher, C., Leong-Grotz, K. & Castro, C. & Bindman, A.B. 2003. Closing the loop: physician communication with diabetic patients who have low health literacy. Archives of Internal Medicine 163, 8390.CrossRefGoogle ScholarPubMed
Smith, R.C. & Hoppe, R.B. 1991. The patient's story: integrating the patient- and physician-centered approaches to interviewing. Annals of Internal Medicine 115, 470477.CrossRefGoogle ScholarPubMed
van Thiel, J., Kraan, H.F. & Van Der Vleuten, C.P. 1991. Reliability and feasibility of measuring medical interviewing skills: the revised Maastricht History-Taking and Advice Checklist. Medical Education 25, 224229.CrossRefGoogle ScholarPubMed