Home Research Research Library The Evolving Family Medicine Team The Evolving Family Medicine Team 2020 Author(s) Jabbarpour, Yalda, Jetty, Anuradha, Dai, Mingliang, Magill, Michael K, and Bazemore, Andrew W Topic(s) Role of Primary Care Keyword(s) Continuing Certification Questionnaire, JABFM Policy Brief, Payment, and Teams Volume Journal of the American Board of Family Medicine Source Journal of the American Board of Family Medicine A decade of practice transformation, consolidation, and payment experimentation have highlighted the need for team-based primary care, but little is known about how team composition is changing over time. Surveys of Family Physicians (FPs) from 2014-18 reveal they continue to work alongside inter-professional team members and suggest slow but steady growth in the proportion of FPs working with nurses, behaviorists, clinical pharmacists, and social workers. ABFM Research Read all 2025 Data Transformation to Advance AI/ML Research and Implementation in Primary Care Go to Data Transformation to Advance AI/ML Research and Implementation in Primary Care 2011 Variation over time in preventable hospitalization rates across counties Go to Variation over time in preventable hospitalization rates across counties 2025 Evaluating primary care expenditure in Australia: the Primary Care Spend (PC Spend) model Go to Evaluating primary care expenditure in Australia: the Primary Care Spend (PC Spend) model 2020 Rebuilding after COVID: Planning Systems of Care for the Future Go to Rebuilding after COVID: Planning Systems of Care for the Future
Author(s) Jabbarpour, Yalda, Jetty, Anuradha, Dai, Mingliang, Magill, Michael K, and Bazemore, Andrew W Topic(s) Role of Primary Care Keyword(s) Continuing Certification Questionnaire, JABFM Policy Brief, Payment, and Teams Volume Journal of the American Board of Family Medicine Source Journal of the American Board of Family Medicine
ABFM Research Read all 2025 Data Transformation to Advance AI/ML Research and Implementation in Primary Care Go to Data Transformation to Advance AI/ML Research and Implementation in Primary Care 2011 Variation over time in preventable hospitalization rates across counties Go to Variation over time in preventable hospitalization rates across counties 2025 Evaluating primary care expenditure in Australia: the Primary Care Spend (PC Spend) model Go to Evaluating primary care expenditure in Australia: the Primary Care Spend (PC Spend) model 2020 Rebuilding after COVID: Planning Systems of Care for the Future Go to Rebuilding after COVID: Planning Systems of Care for the Future
2025 Data Transformation to Advance AI/ML Research and Implementation in Primary Care Go to Data Transformation to Advance AI/ML Research and Implementation in Primary Care
2011 Variation over time in preventable hospitalization rates across counties Go to Variation over time in preventable hospitalization rates across counties
2025 Evaluating primary care expenditure in Australia: the Primary Care Spend (PC Spend) model Go to Evaluating primary care expenditure in Australia: the Primary Care Spend (PC Spend) model
2020 Rebuilding after COVID: Planning Systems of Care for the Future Go to Rebuilding after COVID: Planning Systems of Care for the Future
