Format

Send to

Choose Destination
Patient Educ Couns. 2011 Mar;82(3):410-9. doi: 10.1016/j.pec.2010.11.019. Epub 2011 Jan 15.

Slicing it thin: new methods for brief sampling analysis using RIAS-coded medical dialogue.

Author information

1
Johns Hopkins Bloomberg School of Public Health, Department of Health, Behavior and Society, Baltimore, MD, USA. droter@jhsph.edu

Abstract

OBJECTIVE:

To explore the relationship between one-minute slices and full-session interaction and the predictive validity of the slices to ratings of affect and rapport.

METHODS:

Third-year medical students (n=253) were videotaped during an OSCE. All interaction was coded using the Roter Interaction Analysis System (RIAS) and samples were drawn at minutes 1, 5, and 9 and extracted from the coded database. The slices were related in multivariate analysis to full-session interaction, corrected for slice content, and correlated with affect ratings of participants and independently rated judgments of rapport.

RESULTS:

One-minute slices explained 33% of full-session variance in student interaction and 30% of variance in standardized patient interaction. Slices were significantly correlated with affective ratings of participants and independent judgments of rapport in a similar pattern as full-session interaction analysis.

CONCLUSIONS:

One-minute slices of interaction can provide a meaningful degree of insight into OSCE session communication with both concurrent and predictive validity to ratings of session affect and rapport.

PRACTICE IMPLICATIONS:

Evidence of concurrent and predictive validity further supports use of this approach as a research tool that provides an efficient means of analyzing processes of care, examining variation in communication throughout a visit and predicting visit outcomes.

PMID:
21239135
DOI:
10.1016/j.pec.2010.11.019
[Indexed for MEDLINE]

Supplemental Content

Full text links

Icon for Elsevier Science
Loading ...
Support Center