ArticlePatient education and counseling2014
A novel analytical strategy for patient-physician communication research: the one-with-many design.
Article in Patient education and counseling, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.
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Who cites it
5 citing papers in PubMed.
- A dyadic approach of assessing the therapeutic alliance in youth mental health and addiction treatment.European child & adolescent psychiatry · 2025Article
- Dyadic analysis and the reciprocal one-with-many model: Extending the study of interpersonal processes with intensive longitudinal data.Psychological methods · 2022Article
- Applied Racial/Ethnic Healthcare Disparities Research Using Implicit Measures.Social cognition · 2020Article
- Stereotyping Patients.Journal of social philosophy · 2019Article
- Racial Healthcare Disparities: A Social Psychological Analysis.European review of social psychology · 2013Article
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Authors and funding
3 authors.
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Abstract
objectiveWe aimed to demonstrate how a novel analytic strategy - the one-with-many (OWM) design - can provide unique information about patient-physician communication that cannot be obtained using traditional analytic strategies.
methodsUsing an OWM design we conducted a secondary analysis of behavioral (talk time) and self-reported (perceived teamness) data from a study of patient-physician communication, and examined variance decompositions of these variables.
resultsTalk time was largely relational, suggesting that there is no behavioral consistency on the part of physicians across patients or behavioral similarity among patients who see the same physician. In contrast, there was significant actor variance in perceived teamness, suggesting that some physicians consistently reported higher teamness with their patients than others. However, those physicians' positive perceptions of the communication are not necessarily reciprocated by their patients.
conclusionsOWM design provides researchers with the opportunity to take full advantage of rich non-independent data and explore interesting communication patterns (e.g., behavioral continuity, similarity, reciprocity unique to specific dyads) that have been omitted in prior literature. PRACTICAL IMPLICATIONS: OWM can be used to determine the relative differences in how patients and physicians influence communication patterns and identify which aspects of physician-patient communication are relational and which are not.
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