Skip to main content

Main menu

  • HOME
  • ARTICLES
    • Current Issue
    • Ahead of Print
    • Archives
    • Abstracts In Press
    • Special Issue Archive
    • Subject Collections
  • INFO FOR
    • Authors
    • Reviewers
    • Call For Papers
    • Subscribers
    • Advertisers
  • SUBMIT
    • Manuscript
    • Peer Review
  • ABOUT
    • The JABFM
    • The Editing Fellowship
    • Editorial Board
    • Indexing
    • Editors' Blog
  • CLASSIFIEDS
  • Other Publications
    • abfm

User menu

Search

  • Advanced search
American Board of Family Medicine
  • Other Publications
    • abfm
American Board of Family Medicine

American Board of Family Medicine

Advanced Search

  • HOME
  • ARTICLES
    • Current Issue
    • Ahead of Print
    • Archives
    • Abstracts In Press
    • Special Issue Archive
    • Subject Collections
  • INFO FOR
    • Authors
    • Reviewers
    • Call For Papers
    • Subscribers
    • Advertisers
  • SUBMIT
    • Manuscript
    • Peer Review
  • ABOUT
    • The JABFM
    • The Editing Fellowship
    • Editorial Board
    • Indexing
    • Editors' Blog
  • CLASSIFIEDS
  • JABFM on Bluesky
  • JABFM On Facebook
  • JABFM On Twitter
  • JABFM On YouTube
Research ArticleOriginal Article

The Communication Patterns of Internal Medicine and Family Practice Physicians

Michael Paasche-Orlow and Debra Roter
The Journal of the American Board of Family Practice November 2003, 16 (6) 485-493; DOI: https://doi.org/10.3122/jabfm.16.6.485
Michael Paasche-Orlow
MD, MPH
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
Debra Roter
DrPH
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
  • Article
  • Figures & Data
  • References
  • Info & Metrics
  • PDF
Loading

Article Figures & Data

Tables

    • View popup
    Table 1.

    Physician Characteristics

    CharacteristicIM n = 30 (SD)FP n = 29 (SD)P
    Mean age42.9 (8.9)38.1 (4.1).01 (t57 = 2.66)
    Years in practice12.9 (9.1)8.5 (3.2).02 (t57 = 2.45)
    Sex: male/female27/326/3.97 (χ2(1) < .01)
    Ethnicity: white/minority25/525/4.79 (χ2(1) = .07)
    Practice Setting
     Solo5 (17%)11 (37%)
     Small group11 (37%)6 (21%)
     HMO14 (46%)12 (41%).15 (χ2(2) = 3.86)
    Board certification28/3029/29.85 (χ2(1) = .03)
    • View popup
    Table 2.

    Patient Characteristics

    CharacteristicIM n = 287 (%)FP n = 277 (%)P
    Mean Age52.1746.43<.01 (t = 3.84)
    Female182 (64)171 (62).64 (χ2(1) = 0.22)
    Ethnicity
     White242 (84)218 (79)
     Minority42 (15)57 (21).07 (χ2(1) = 3.38)
    Income in $
     027 (9)10 (4)
     <10,00040 (14)44 (16)
     <20,00050 (17)46 (17)
     <30,00054 (19)45 (16)
     <40,00044 (15)36 (13)
     >40,00071 (25)96 (35).02 (χ2(5) = 13.39)
    Education
     <High school74 (26)65 (23)
     High school graduate110 (38)87 (31)
     <4 years’ college39 (14)44 (16)
     College graduate31 (11)36 (13)
     Postgraduate32 (11)45 (16).2 (χ2(4) =5.99)
    Work status
     Full time131 (46)157 (57)
     Part time17 (6)13 (5)
     Unemployed42 (15)31 (11)
     Retired84 (29)55 (20)
     Disabled8 (3)7 (3)
     Other4 (1)14 (5).01 (χ2(5) = 16.07)
    Visit history
     Prior visits229 (80)205 (74)
     No prior visits58 (20)72 (26).10 (χ2(1) = 2.66)
    Self-rated physical health
     Excellent134 (47)144 (52)
     Very good69 (24)67 (24)
     Good68 (24)49 (18)
     Fair13 (5)16 (6).30 (χ2(3) =3.67)
    Physician-rated physical health
     Excellent43 (15)49 (18)
     Good167 (59)150 (55)
     Fair64 (23)71 (26)
     Poor8 (3)5 (2).52 (χ2(3) = 2.27)
     GHQ Score*5.32 (0.33)5.04 (0.32)P = .54
    • * Mean (SE).

    • View popup
    Table 3.

    The Roter Interactional Analysis System (RIAS): Frequency of Four Code Groupings According to Physician Specialty*

    Communication BehaviorUnadjustedControlled for Encounter Duration OnlyExpanded Model†
    IMFPPIMFPPIMFPP
    I. Data gathering
     a. Closed-ended biomedical questions23.116.5.02‡21.418.6.05‡22.218.4.01‡
     b. Open-ended biomedical questions2.93.0.242.93.0.742.32.4.64
     c. Closed-ended psychosocial questions8.76.8.118.96.8.04‡8.06.2.09
     d. Open-ended psychosocial questions1.61.5.721.51.6.542.32.4.79
     e. Bids for clarification1.20.3.05‡1.20.3.061.00.1.14
     Total count37.428.2.02‡36.030.1.02‡35.829.6.02‡
    II. Patient education and counseling
     a. Provides biomedical information32.037.6.1932.837.3.04‡31.734.9.22
     b. Provides psychosocial information3.97.6.02‡3.97.8.02‡5.68.1.02‡
     c. Counsels biomedical14.213.8.7814.113.9.8714.713.3.23
     d. Counsels psychosocial7.28.0.567.48.3.395.25.5.81
     Total count57.567.4.1859.766.4.0857.361.8.25
    III. Rapport building
     a. Personal remark7.88.6.698.08.3.809.910.6.31
     b. Laughter2.83.5.302.93.4.303.75.1.03‡
     c. Approval3.84.7.261.21.6.464.75.0.13
     d. Empathy0.30.5.070.30.5.060.40.6.06
     e. Concern2.12.3.492.12.4.302.93.1.35
     f. Reassure3.43.9.383.44.0.134.75.6.06
     g. Legitimate0.60.7.460.70.8.300.91.0.54
     Total count20.924.3.3418.621.0.2627.630.9.14
    IV. Partnership building
     a. Paraphrase4.33.4.163.83.9.314.94.6.47
     b. Partnering0.10.1.220.10.1.200.00.1.46
     c. Asks for opinion0.50.3.240.50.3.180.50.4.52
     d. Asks for understanding3.33.0.583.13.1.963.33.0.31
     e. Asks for reassurance0.00.0.620.00.0.690.00.1.90
     Total count8.26.8.217.67.6.978.58.3.88
    • IM, internal medicine; FP, family practice.

    • * Frequency analysis conducted using two-tailed significance testing and generalized estimation equations to control for variable number of office visits per physician.

    • † Controlled for duration of encounter, experimental group, generalized health questionnaire (GHQ) score, being an established patient, physician age, patient income, patient ethnicity, and patient age.

    • ‡ P < .05.

    • View popup
    Table 4.

    Determinants of Verbal Dominance and Patient-Centeredness

    Dependent VariableEquationSpecialtyRatioPoint Estimate of Difference (95% CI)
    Verbal dominanceUnivariateIM1.10.16 (0.03, 0.28)*
    FP1.3
    Expanded model stratified by patient gender†
    Male patients
     IM1.10.05 (−0.17, 0.269)
     FP1.2
    Female patients
     IM1.20.22 (0.05, 0.39)*
     FP1.4
    Patient-centerednessUnivariateIM1.10.05 (−0.14, 0.23)
    FP1.1
    Expanded model stratified by patient ethnicity‡
    White patients
     IM1.20.04 (−0.18, 0.26)
     FP1.2
    African American patients
     IM1.10.32 (0.01, 0.62)*
     FP1.4
    • Verbal dominance is the ratio of all physician’s talk divided by all patient’s talk. Patient-centeredness is the ratio of physician’s psychosocial codes divided by the physician’s biomedical task codes.

    • * P < .05

    • † Controlled for experimental group, physician age, patient age, patient income, and patient ethnicity.

    • ‡ Controlled for experimental group, physician age, patient age, patient income, and patient gender.

    • View popup
    Table 5.

    Correlation between Patient-Centeredness and Patient Satisfaction*

    Patient Satisfaction
    InternistsFamily Practice
    Rapport building communication0.13†0.28‡
    Psychosocial communication0.14†0.29‡
    Biomedical communication0.060.06
    Patient-centeredness0.040.25‡
    • Patient-centeredness = (physician’s psychosocial codes)/(physician’s biomedical codes)

    • * Pairwise correlation matrix with Bonferroni adjustment

    • † P < .05

    • ‡ P < .001

    • View popup
    Table 6.

    Categories of Roter Interaction Analysis System (RIAS)

    Functional GroupingCommunication BehaviorExample
    Data-gathering skillsQuestion (open ended) medical condition, therapeutic regimen, lifestyle and self-care, psychosocial topicsWhat can you tell me about the pain? How are meds working? What are you doing to keep yourself healthy? What’s happening with his father?
    Question (closed ended) medical condition, therapeutic regimen, lifestyle and self-care, psychosocial topicsDoes it hurt now? Do you take your meds? Are you still smoking? Is your wife back?
    Patient education and counseling skillsBiomedical information about medical condition, therapeutic regimen, biomedical counselingThe medication may make you drowsy. I’m prescribing an antibiotic for the infection. It’s very important for you to take the antibiotic every day and take it all.
    Lifestyle and self-care informationGetting plenty of exercise is always a good idea. I can give you some tips on quitting.
    Psychosocial exchange about problems of daily living, issues about social relations, feelings, emotionsIt’s important to get out and do something daily. The community center is good for company.
    Relationship skillsPositive talk (agreements, jokes, approvals, laughter)You look fantastic. You’re doing great.
    Negative talk (disagreements, disapproval, criticisms, corrections)I think you are wrong, you weren’t being careful. No, I wouldn’t want that.
    Social talk (nonmedical, chit-chat)How about those Red Sox last night?
    Emotional talk, concerns, reassurance, empathy, partnership legitimationI’m worried about your leg. I’m sure it will get better. It sounds like you are angry about it. We’ll get through this together. Anyone going through this would feel that way.
    Partnering skillsFacilitation: asking for patient opinion, asking for understanding, paraphrase and interpretation, back-channelWhat do you think it is? Do you follow me? I heard you say you didn’t like that. Let me make sure I’ve got it right…. Uh-huh, right, go on, hmm.
    Orientation directions, instructionsI’d like to do a physical now and talk later. Get up on the table. Now we’ll check your back.
PreviousNext
Back to top

In this issue

The Journal of the American Board of Family Practice: 16 (6)
The Journal of the American Board of Family Practice
Vol. 16, Issue 6
1 Nov 2003
  • Table of Contents
  • Index by author
Print
Download PDF
Article Alerts
Sign In to Email Alerts with your Email Address
Email Article

Thank you for your interest in spreading the word on American Board of Family Medicine.

NOTE: We only request your email address so that the person you are recommending the page to knows that you wanted them to see it, and that it is not junk mail. We do not capture any email address.

Enter multiple addresses on separate lines or separate them with commas.
The Communication Patterns of Internal Medicine and Family Practice Physicians
(Your Name) has sent you a message from American Board of Family Medicine
(Your Name) thought you would like to see the American Board of Family Medicine web site.
CAPTCHA
This question is for testing whether or not you are a human visitor and to prevent automated spam submissions.
14 + 5 =
Solve this simple math problem and enter the result. E.g. for 1+3, enter 4.
Citation Tools
The Communication Patterns of Internal Medicine and Family Practice Physicians
Michael Paasche-Orlow, Debra Roter
The Journal of the American Board of Family Practice Nov 2003, 16 (6) 485-493; DOI: 10.3122/jabfm.16.6.485

Citation Manager Formats

  • BibTeX
  • Bookends
  • EasyBib
  • EndNote (tagged)
  • EndNote 8 (xml)
  • Medlars
  • Mendeley
  • Papers
  • RefWorks Tagged
  • Ref Manager
  • RIS
  • Zotero
Share
The Communication Patterns of Internal Medicine and Family Practice Physicians
Michael Paasche-Orlow, Debra Roter
The Journal of the American Board of Family Practice Nov 2003, 16 (6) 485-493; DOI: 10.3122/jabfm.16.6.485
Twitter logo Facebook logo Mendeley logo
  • Tweet Widget
  • Facebook Like
  • Google Plus One

Jump to section

  • Article
    • Abstract
    • Subjects and Methods
    • Results
    • Discussion
    • Conclusions
    • Notes
    • References
  • Figures & Data
  • References
  • Info & Metrics
  • PDF

Related Articles

  • No related articles found.
  • PubMed
  • Google Scholar

Cited By...

  • Communication quality in telephone triage conducted by general practitioners, nurses or physicians: a quasi-experimental study using the AQTT to assess audio-recorded telephone calls to out-of-hours primary care in Denmark
  • Development of a tool for assessing quality of comprehensive care provided by community health workers in a community-based care programme in South Africa
  • A profile of communication in primary care physician telephone consultations: application of the Roter Interaction Analysis System
  • Google Scholar

More in this TOC Section

  • Screening for Bipolar Disorder in Patients Treated for Depression in a Family Medicine Clinic
  • Screening for Dementia: Family Caregiver Questionnaires Reliably Predict Dementia
  • Help-Seeking for Insomnia among Adult Patients in Primary Care
Show more Original Articles

Similar Articles

Navigate

  • Home
  • Current Issue
  • Past Issues

Authors & Reviewers

  • Info For Authors
  • Info For Reviewers
  • Submit A Manuscript/Review

Other Services

  • Get Email Alerts
  • Classifieds
  • Reprints and Permissions

Other Resources

  • Forms
  • Contact Us
  • ABFM News

© 2025 American Board of Family Medicine

Powered by HighWire