Skip to main content

Main menu

  • HOME
  • ARTICLES
    • Current Issue
    • Abstracts In Press
    • Archives
    • 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
    • Abstracts In Press
    • Archives
    • 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 Research

Relational Continuity, Physician Payment, and Team-Based Primary Care in the Canadian Health Care System

Tara Kiran, Michael E. Green, Li Bai, Lidija Latifovic, Shahriar Khan, Alex Kopp, Eliot Frymire and Richard H. Glazier
The Journal of the American Board of Family Medicine January 2023, jabfm.2022.220235R1; DOI: https://doi.org/10.3122/jabfm.2022.220235R1
Tara Kiran
From Department of Family and Community Medicine, St. Michael’s Hospital, Toronto, Ontario, Canada; Department of Family and Community Medicine, University of Toronto, Ontario, Canada (TK, RHG); MAP Centre for Urban Health Solutions, St. Michael’s Hospital, Unity Health, Toronto, Ontario, Canada (TK, LL, RHG); Institute of Health Policy, Management, and Evaluation, University of Toronto, Toronto, Ontario, Canada (TK, RHG); ICES Central, Toronto, Ontario, Canada (TK, LB, AK, RHG); ICES Queen’s, Kingston, Ontario, Canada (MEG, SK, EF); Health Services and Policy Research Institute, Queen’s University, Kingston, Ontario, Canada (MEG, SK, EF); Department of Family Medicine, Queen’s University, Kingston, Ontario, Canada (MEG); Dalla Lana School of Public Health, University of Toronto, Toronto, Ontario, Canada (LL, RHG).
MD, MSc
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
Michael E. Green
From Department of Family and Community Medicine, St. Michael’s Hospital, Toronto, Ontario, Canada; Department of Family and Community Medicine, University of Toronto, Ontario, Canada (TK, RHG); MAP Centre for Urban Health Solutions, St. Michael’s Hospital, Unity Health, Toronto, Ontario, Canada (TK, LL, RHG); Institute of Health Policy, Management, and Evaluation, University of Toronto, Toronto, Ontario, Canada (TK, RHG); ICES Central, Toronto, Ontario, Canada (TK, LB, AK, RHG); ICES Queen’s, Kingston, Ontario, Canada (MEG, SK, EF); Health Services and Policy Research Institute, Queen’s University, Kingston, Ontario, Canada (MEG, SK, EF); Department of Family Medicine, Queen’s University, Kingston, Ontario, Canada (MEG); Dalla Lana School of Public Health, University of Toronto, Toronto, Ontario, Canada (LL, RHG).
MD, MPH
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
Li Bai
From Department of Family and Community Medicine, St. Michael’s Hospital, Toronto, Ontario, Canada; Department of Family and Community Medicine, University of Toronto, Ontario, Canada (TK, RHG); MAP Centre for Urban Health Solutions, St. Michael’s Hospital, Unity Health, Toronto, Ontario, Canada (TK, LL, RHG); Institute of Health Policy, Management, and Evaluation, University of Toronto, Toronto, Ontario, Canada (TK, RHG); ICES Central, Toronto, Ontario, Canada (TK, LB, AK, RHG); ICES Queen’s, Kingston, Ontario, Canada (MEG, SK, EF); Health Services and Policy Research Institute, Queen’s University, Kingston, Ontario, Canada (MEG, SK, EF); Department of Family Medicine, Queen’s University, Kingston, Ontario, Canada (MEG); Dalla Lana School of Public Health, University of Toronto, Toronto, Ontario, Canada (LL, RHG).
MPH, PhD
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
Lidija Latifovic
From Department of Family and Community Medicine, St. Michael’s Hospital, Toronto, Ontario, Canada; Department of Family and Community Medicine, University of Toronto, Ontario, Canada (TK, RHG); MAP Centre for Urban Health Solutions, St. Michael’s Hospital, Unity Health, Toronto, Ontario, Canada (TK, LL, RHG); Institute of Health Policy, Management, and Evaluation, University of Toronto, Toronto, Ontario, Canada (TK, RHG); ICES Central, Toronto, Ontario, Canada (TK, LB, AK, RHG); ICES Queen’s, Kingston, Ontario, Canada (MEG, SK, EF); Health Services and Policy Research Institute, Queen’s University, Kingston, Ontario, Canada (MEG, SK, EF); Department of Family Medicine, Queen’s University, Kingston, Ontario, Canada (MEG); Dalla Lana School of Public Health, University of Toronto, Toronto, Ontario, Canada (LL, RHG).
MSc
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
Shahriar Khan
From Department of Family and Community Medicine, St. Michael’s Hospital, Toronto, Ontario, Canada; Department of Family and Community Medicine, University of Toronto, Ontario, Canada (TK, RHG); MAP Centre for Urban Health Solutions, St. Michael’s Hospital, Unity Health, Toronto, Ontario, Canada (TK, LL, RHG); Institute of Health Policy, Management, and Evaluation, University of Toronto, Toronto, Ontario, Canada (TK, RHG); ICES Central, Toronto, Ontario, Canada (TK, LB, AK, RHG); ICES Queen’s, Kingston, Ontario, Canada (MEG, SK, EF); Health Services and Policy Research Institute, Queen’s University, Kingston, Ontario, Canada (MEG, SK, EF); Department of Family Medicine, Queen’s University, Kingston, Ontario, Canada (MEG); Dalla Lana School of Public Health, University of Toronto, Toronto, Ontario, Canada (LL, RHG).
MSc, MA
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
Alex Kopp
From Department of Family and Community Medicine, St. Michael’s Hospital, Toronto, Ontario, Canada; Department of Family and Community Medicine, University of Toronto, Ontario, Canada (TK, RHG); MAP Centre for Urban Health Solutions, St. Michael’s Hospital, Unity Health, Toronto, Ontario, Canada (TK, LL, RHG); Institute of Health Policy, Management, and Evaluation, University of Toronto, Toronto, Ontario, Canada (TK, RHG); ICES Central, Toronto, Ontario, Canada (TK, LB, AK, RHG); ICES Queen’s, Kingston, Ontario, Canada (MEG, SK, EF); Health Services and Policy Research Institute, Queen’s University, Kingston, Ontario, Canada (MEG, SK, EF); Department of Family Medicine, Queen’s University, Kingston, Ontario, Canada (MEG); Dalla Lana School of Public Health, University of Toronto, Toronto, Ontario, Canada (LL, RHG).
BA
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
Eliot Frymire
From Department of Family and Community Medicine, St. Michael’s Hospital, Toronto, Ontario, Canada; Department of Family and Community Medicine, University of Toronto, Ontario, Canada (TK, RHG); MAP Centre for Urban Health Solutions, St. Michael’s Hospital, Unity Health, Toronto, Ontario, Canada (TK, LL, RHG); Institute of Health Policy, Management, and Evaluation, University of Toronto, Toronto, Ontario, Canada (TK, RHG); ICES Central, Toronto, Ontario, Canada (TK, LB, AK, RHG); ICES Queen’s, Kingston, Ontario, Canada (MEG, SK, EF); Health Services and Policy Research Institute, Queen’s University, Kingston, Ontario, Canada (MEG, SK, EF); Department of Family Medicine, Queen’s University, Kingston, Ontario, Canada (MEG); Dalla Lana School of Public Health, University of Toronto, Toronto, Ontario, Canada (LL, RHG).
MA, BEd
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
Richard H. Glazier
From Department of Family and Community Medicine, St. Michael’s Hospital, Toronto, Ontario, Canada; Department of Family and Community Medicine, University of Toronto, Ontario, Canada (TK, RHG); MAP Centre for Urban Health Solutions, St. Michael’s Hospital, Unity Health, Toronto, Ontario, Canada (TK, LL, RHG); Institute of Health Policy, Management, and Evaluation, University of Toronto, Toronto, Ontario, Canada (TK, RHG); ICES Central, Toronto, Ontario, Canada (TK, LB, AK, RHG); ICES Queen’s, Kingston, Ontario, Canada (MEG, SK, EF); Health Services and Policy Research Institute, Queen’s University, Kingston, Ontario, Canada (MEG, SK, EF); Department of Family Medicine, Queen’s University, Kingston, Ontario, Canada (MEG); Dalla Lana School of Public Health, University of Toronto, Toronto, Ontario, Canada (LL, RHG).
MD, MPH
  • 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

Figures

  • Tables
  • Figure 1.
    • Download figure
    • Open in new tab
    Figure 1.

    Patient population included in analysis. Abbreviation: GP, general practitioner.

  • Figure 2.
    • Download figure
    • Open in new tab
    Figure 2.

    Mean continuity with the enrolling physician (A) and group (B) stratified by patient enrollment model and rurality. Continuity was calculated for all enrolled patients with 2 or more visits between October 1, 2017 and September 30, 2019. Abbreviation: FFS, fee-for-service.

Tables

  • Figures
    • View popup
    Table 1.

    Demographic Characteristics for Enrolled Patients with 2 or More Primary Care Visits Between October 1, 2017 and September 30, 2019, Stratified by Patient Enrollment Model

    Patient Enrollment Model
    Enhanced Fee-for-ServiceNonteam CapitationTeam-Based CapitationTotal
    Characteristicn%n%n%n%
    Overall2,617,415100.02,520,998100.01,971,623100.07,110,036100.0
    Age group
    16–34696,61426.6563,98622.4440,49122.31,701,09123.9
    35–49673,82425.7553,15521.9409,41520.81,636,39423.0
    50–64702,21626.8713,93128.3540,27527.41,956,42227.5
    65–79417,02515.9518,89120.6435,81622.11,371,73219.3
    80+ years127,7364.9171,0356.8145,6267.4444,3976.3
    Sex
    Male1,171,24644.71,090,68843.3834,35242.33,096,28643.5
    Female1,446,16955.31,430,31056.71,137,27157.74,013,75056.5
    Rurality index (RIO score)
    Urban (0 to 9)2,332,21789.11,935,12576.81,075,38954.55,342,73175.1
    Small town (10 to 39)234,1868.9476,71718.9611,20031.01,322,10318.6
    Rural (40+)43,1331.699,8404.0266,51313.5409,4865.8
    Missing7,8790.39,3160.418,5210.935,7160.5
    Number of visits over the 2-year period (October 1, 2017 to September 30, 2019)
    Mean (± SD)2,617,41510.2 (± 8.6)2,520,9987.2 (± 5.7)1,971,6236.6 (± 5.3)7,110,0368.1 (± 7.0)
    Median (IQR)2,617,4158 (5, 13)2,520,9986 (3, 9)1,971,6235 (3, 8)7,110,0366 (4, 10)
    2 to 4638,98524.4955,64737.9852,05343.22,446,68534.4
    5 to 7581,80522.2682,79527.1525,16126.61,789,76125.2
    8 to 11573,87621.9497,28719.7347,83417.61,418,99720.0
    12+822,74931.4385,26915.3246,57512.51,454,59320.5
    Comorbidity (ADG)*
    No/low comorbidity (0 to 4) 858,99732.8952,19737.8747,21337.92,558,40736.0
    Moderate comorbidity (5 to 9)1,288,70749.21,197,33447.5923,89046.93,409,93148.0
    High comorbidity (10+)469,71117.9371,46714.7300,52015.21,141,69816.1
    Morbidity (RUB)†
    Nonuser/healthy user (0 to 1) 48,4801.958,5532.344,8572.3151,8902.1
    Low morbidity (2) 314,41712.0344,80013.7263,73513.4922,95213.0
    Moderate morbidity (3) 1,539,27158.81,465,09158.11,105,67756.14,110,03957.8
    High morbidity (4+)715,24727.3652,55425.9557,35428.31,925,15527.1
    Income quintile
    Low (1)500,00519.1406,98816.1344,44617.51,251,43917.6
    2530,91320.3470,21018.7381,70719.41,382,83019.4
    3561,09621.4501,43719.9399,24320.21,461,77620.6
    4544,48620.8540,40021.4405,77420.61,490,66021.0
    High (5)476,90818.2598,48223.7437,86022.21,513,25021.3
    Missing40070.23,4810.12,5930.110,0810.1
    Long-term resident
    Yes2,250,89586.02,376,54394.31,897,78696.36,525,22491.8
    No366,52014.0144,4555.773,8373.7584,8128.2
    • Abbreviations: IQR, interquartile range; RIO, Rurality Index for Ontario.

    • * Johns Hopkins Aggregated Diagnosis Group.

    • †Johns Hopkins Resource Utilization Band.

    • View popup
    Table 2.

    Mean Continuity to the Enrolling Physician and Group by Patient Enrollment Model and Selected Demographic Characteristics for All Patients with 2 or More Primary Care Visits, October 1, 2017–September 30, 2019, Ontario, Canada

    Enrolling PhysicianEnrolling Group
    CharacteristicnMeanSDnMeanSD
    Overall7,110,03669.433.27,110,03676.031.3
    Enrollment model
    Enhanced fee-for-service2,617,41567.334.22,617,41573.832.4
    Nonteam capitation2,520,99870.732.32,520,99876.231.1
    Team-based capitation1,971,62370.632.81,971,62378.730.0
    Age group
    16–341,701,09157.035.51,701,09164.835.2
    35–491,636,39466.033.61,636,39473.332.1
    50–641,956,42274.031.11,956,42280.228.7
    65–791,371,73279.028.31,371,73284.425.6
    80+ years444,39779.628.2444,39784.725.7
    Sex
    Male3,096,28669.934.03,096,28676.232.1
    Female4,013,75069.032.54,013,75075.830.7
    Rurality index (RIO score)
    Urban (0 to 9)5,342,73167.733.65,342,73174.232.1
    Small town (10 to 39)1,322,10374.231.21,322,10381.228.5
    Rural (40+)409,48676.031.4409,48682.727.8
    Missing35,71671.633.935,71678.731.1
    Number of visits over the 2-year period (October 1, 2017 to September 30, 2019)
    2 to 42,446,68569.436.12,446,68576.133.9
    5 to 71,789,76169.831.91,789,76176.430.2
    8 to 111,418,99770.130.91,418,99776.629.2
    12+1,454,59368.231.61,454,59374.930.2
    Comorbidity (ADG)*
    No/low comorbidity (0 to 4) 2,558,40770.135.52,558,40776.533.4
    Moderate comorbidity (5 to 9)3,409,93169.132.13,409,93175.830.4
    High comorbidity (10+)1,141,69868.830.81,141,69875.629.3
    Morbidity (RUB)†
    Nonuser/healthy user (0 to 1) 151,89059.440.0151,89067.339.0
    Low morbidity (2) 922,95266.836.8922,95273.735.0
    Moderate morbidity (3) 4,110,03970.032.84,110,03976.530.9
    High morbidity (4+)1,925,15570.231.31,925,15576.829.5
    Income quintile
    Low (1)1,251,43968.734.21,251,43975.032.5
    21,382,83069.633.41,382,83076.231.6
    31,461,77669.433.11,461,77676.131.3
    41,490,66069.232.81,490,66076.031.0
    High (5)1,513,25070.032.41,513,25076.830.5
    Missing10,08164.335.110,08170.534.1
    Long-term resident
    Yes6,525,22469.733.26,525,22476.231.3
    No584,81266.533.2584,81273.631.6
    • Abbreviations: RIO, Rurality Index for Ontario; SD, standard deviation.

    • ↵*Johns Hopkins Aggregated Diagnosis Group.

    • ↵†Johns Hopkins Resource Utilization Band.

    • View popup
    Table 3.

    Risk Ratios and 95% CIs for Regression Models Examining the Associations Between Patient Enrollment Model and Continuity to the Enrolling Physician or Group After Adjustment for Patient Characteristics. Continuity Was Calculated for All Patients with 2 or More Primary Care Visits Between October 1, 2017 and September 30, 2019

    Enrolling PhysicianEnrolling Group
    CharacteristicRisk RatioLower 95% CIUpper 95% CIP ValueRisk RatioLower 95% CIUpper 95% CIP Value
    Enrollment Model
    Enhanced fee-for-service1.0001.000
    Nonteam capitation1.0031.0031.003<0.0010.9940.9940.995<0.001
    Team-based capitation 0.9800.9790.980<0.0011.0031.0021.003<0.001
    Age group
    16–341.0001.000
    35–491.1641.1631.165<0.0011.1341.1341.135<0.001
    50–641.3121.3111.313<0.0011.2431.2421.244<0.001
    65–791.4131.4121.414<0.0011.3161.3151.316<0.001
    80+ years1.4471.4461.448<0.0011.3371.3361.338<0.001
    Sex
    Male1.0001.000
    Female0.9940.9940.995<0.0011.0011.0011.002<0.001
    Rurality index (RIO score)
    Urban (0 to 9)1.0001.000
    Small town (10 to 39)1.0711.0701.071<0.0011.0661.0651.066<0.001
    Rural (40+)1.0841.0831.084<0.0011.0701.0691.070<0.001
    Comorbidity (ADG)*
    No/low comorbidity (0 to 4)1.1451.1441.146<0.0011.1081.1071.109<0.001
    Moderate comorbidity (5 to 9)1.0711.0711.072<0.0011.0561.0561.057<0.001
    High comorbidity (10+)1.0001.000
    Morbidity (RUB)†
    Nonuser/healthy user (0 to 1)0.8880.8860.890<0.0010.9180.9160.920<0.001
    Low morbidity (2)0.9740.9730.974<0.0010.9820.9810.983<0.001
    Moderate morbidity (3)0.9880.9880.988<0.0010.9910.9900.991<0.001
    High morbidity (4+)1.0001.000
    Income quintile
    Low (1)1.0001.000
    21.0001.0001.0010.8990.9910.9910.992<0.001
    31.0071.0061.007<0.0011.0031.0021.003<0.001
    41.0011.0001.0010.0010.9990.9990.999<0.001
    High (5) 0.9950.9940.995<0.0010.9940.9930.994<0.001
    Long-term resident
    Yes1.0001.000
    No1.0121.0121.013<0.0011.0201.0191.020<0.001
    • Abbreviations: CI, confidence interval; RIO, Rurality Index for Ontario.

    • ↵* Johns Hopkins Aggregated Diagnosis Group.

    • † Johns Hopkins Resource Utilization Band.

  •  Continuity Measure
     Enrolling PhysicianEnrolling Group
    Enrollment ModelRisk RatioLower 95% CIUpper 95% CIRisk RatioLower 95% CIUpper 95% CI
    Overall
    Enhanced fee-for-service1.0001.000
    Nonteam capitation1.0031.0031.0030.9940.9940.995
    Team-based capitation0.9800.9790.9801.0031.0021.003
    Urban
    Enhanced fee-for-service1.0001.000
    Nonteam capitation1.0041.0031.0040.9880.9880.988
    Team-based capitation0.9630.9620.9640.9880.9880.989
    Small town
    Enhanced fee-for-service1.0001.000
    Nonteam capitation1.0081.0071.0091.0311.0301.032
    Team-based capitation1.0221.0211.0231.0541.0541.055
    Rural
    Enhanced fee-for-service1.0001.000
    Nonteam capitation0.9890.9870.9910.9890.9870.991
    Team-based capitation0.9510.9490.9530.9840.9820.985
    Male
    Enhanced fee-for-service1.0001.000
    Nonteam capitation1.0021.0011.0030.9920.9920.993
    Team-based capitation0.9810.9810.9820.9990.9991.000
    Female
    Enhanced fee-for-service1.0001.000
    Nonteam capitation1.0031.0031.0040.9960.9950.996
    Team-based capitation0.9790.9780.9791.0051.0051.006
    • Abbreviation: CI, confidence interval.

Previous
Back to top

In this issue

The Journal of the American Board of Family     Medicine: 38 (1)
The Journal of the American Board of Family Medicine
Vol. 38, Issue 1
January-February 2025
  • Table of Contents
  • Table of Contents (PDF)
  • Cover (PDF)
  • Index by author
  • Back Matter (PDF)
  • Front Matter (PDF)
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.
Relational Continuity, Physician Payment, and Team-Based Primary Care in the Canadian Health Care System
(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.
6 + 6 =
Solve this simple math problem and enter the result. E.g. for 1+3, enter 4.
Citation Tools
Relational Continuity, Physician Payment, and Team-Based Primary Care in the Canadian Health Care System
Tara Kiran, Michael E. Green, Li Bai, Lidija Latifovic, Shahriar Khan, Alex Kopp, Eliot Frymire, Richard H. Glazier
The Journal of the American Board of Family Medicine Jan 2023, jabfm.2022.220235R1; DOI: 10.3122/jabfm.2022.220235R1

Citation Manager Formats

  • BibTeX
  • Bookends
  • EasyBib
  • EndNote (tagged)
  • EndNote 8 (xml)
  • Medlars
  • Mendeley
  • Papers
  • RefWorks Tagged
  • Ref Manager
  • RIS
  • Zotero
Share
Relational Continuity, Physician Payment, and Team-Based Primary Care in the Canadian Health Care System
Tara Kiran, Michael E. Green, Li Bai, Lidija Latifovic, Shahriar Khan, Alex Kopp, Eliot Frymire, Richard H. Glazier
The Journal of the American Board of Family Medicine Jan 2023, jabfm.2022.220235R1; DOI: 10.3122/jabfm.2022.220235R1
Twitter logo Facebook logo Mendeley logo
  • Tweet Widget
  • Facebook Like
  • Google Plus One

Jump to section

  • Article
    • Abstract
    • Introduction
    • Methods
    • Results
    • Discussion
    • Conclusion
    • Acknowledgments
    • Appendix Table 1. Risk Ratios and 95% CIs for the Associations Between Patient Enrollment Model and Continuity Stratified by Rurality (Urban, Small Town, Rural) and Sex (Male, Female) for Patients with 2 or More Primary Care Visits, October 1, 2017–September 30, 2019, Ontario, Canada
    • Notes
    • References
  • Figures & Data
  • References
  • Info & Metrics
  • PDF

Related Articles

  • No related articles found.
  • PubMed
  • Google Scholar

Cited By...

  • Family Physicians Can/Should Do: What? Where? And How?
  • Google Scholar

More in this TOC Section

  • Identifying and Addressing Social Determinants of Health with an Electronic Health Record
  • Integrating Adverse Childhood Experiences and Social Risks Screening in Adult Primary Care
  • A Pilot Comparison of Clinical Data Collection Methods Using Paper, Electronic Health Record Prompt, and a Smartphone Application
Show more Original Research

Similar Articles

Keywords

  • Canada
  • Continuity of Patient Care
  • Patient Care Team
  • Primary Health Care

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