Evidence map›Paper›PMID 24746894›Full record

ArticlePatient education and counseling2014

A novel analytical strategy for patient-physician communication research: the one-with-many design.

Nao Hagiwara, Deborah A Kashy, Louis A Penner

Abstract read
In one paragraph

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.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

5 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Stereotyping Patients.Journal of social philosophy · 2019
    Article
  5. Racial Healthcare Disparities: A Social Psychological Analysis.European review of social psychology · 2013
    Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

3 authors.

Nao HagiwaraVirginia Commonwealth University, Department of Psychology, Richmond, USA. Electronic address: nhagiwara@vcu.edu.
Deborah A KashyMichigan State University, USA.
Louis A PennerWayne State University, USA.

Funding

Michigan Center for Urban African American Aging Research - RESEARCH CORE (REC)P30AG015281 · NIA · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI Briana Mezuk · 1997 to 2026
$19.3M
Detroit CNP: "Social Network Analysis for CNP Partnerships"U01CA114583 · NCI · WAYNE STATE UNIVERSITY · PI ALBRECHT, TERRANCE L · 2005 to 2010
$3.0M
Using Doctor-Patient Teams to Reduce Health DisparitiesR21HD050450 · NICHD · WAYNE STATE UNIVERSITY · PI PENNER, LOUIS A. · 2006 to 2007
$351k
The Role of Racial Attitudes in Medical Interactions and Health DisparitiesR03NR013249 · NINR · WAYNE STATE UNIVERSITY · PI EGGLY, SUSAN S. · 2012 to 2013
$148k
NCI NIH HHS U01 CA114583NCI NIH HHS U01CA114583NIA NIH HHS P30 AG015281NICHD NIH HHS 1R21HD050445001A1NICHD NIH HHS R21 HD050450NINR NIH HHS 1R03NR013249-01NINR NIH HHS R03 NR013249
6 · The paper itself

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.

Indexed as

CommunicationPatient SatisfactionPhysician-Patient RelationsAttitude of Health PersonnelFemaleHealth Care SurveysHumansMaleMiddle AgedPerceptionSurveys and QuestionnairesAdherencePatient–physician communicationPerceptions of medical interactionsTalk timeThe one-with-many design

Identifiers

PMID24746894
PMCPMC4107636

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.