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Home Research Research Library Racial/Ethnic Minority Identifying Family Physicians Are More Likely to Work in Solo Practices Racial/Ethnic Minority Identifying Family Physicians Are More Likely to Work in Solo Practices 2023 Author(s) Tong, Sebastian T, Jetty, Anuradha, Liaw, Winston R, Bazemore, Andrew W, and Jabbarpour, Yalda Topic(s) Role of Primary Care, and Achieving Health System Goals Keyword(s) Quality Of Care Volume Journal of the American Board of Family Medicine Source Journal of the American Board of Family Medicine While the overall proportion of family physicians who work in solo practices has been steadily declining, Black, Hispanic/Latino, and Asian family physicians are more likely to work in these settings. Given their association with high levels of continuity and improved health outcomes, and given patient preference for racial concordance with their physicians, policy makers and payors should consider how to support family physicians in solo practice in the interest of promoting access to and quality of care for ethnic/racial minorities. Read More ABFM Research Read all 2021 One-Third of Family Physicians Remain in Independently Owned Practice, 2017-2019 Go to One-Third of Family Physicians Remain in Independently Owned Practice, 2017-2019 2020 Quality Changes Among Primary Care Clinicians Participating in the Transforming Clinical Practice Initiative Go to Quality Changes Among Primary Care Clinicians Participating in the Transforming Clinical Practice Initiative 2021 Implementing High-Quality Primary Care: A Report From the National Academies of Sciences, Engineering, and Medicine Go to Implementing High-Quality Primary Care: A Report From the National Academies of Sciences, Engineering, and Medicine 2020 Incorporating machine learning and social determinants of health indicators into prospective risk adjustment for health plan payments Go to Incorporating machine learning and social determinants of health indicators into prospective risk adjustment for health plan payments
Author(s) Tong, Sebastian T, Jetty, Anuradha, Liaw, Winston R, Bazemore, Andrew W, and Jabbarpour, Yalda Topic(s) Role of Primary Care, and Achieving Health System Goals Keyword(s) Quality Of Care Volume Journal of the American Board of Family Medicine Source Journal of the American Board of Family Medicine
ABFM Research Read all 2021 One-Third of Family Physicians Remain in Independently Owned Practice, 2017-2019 Go to One-Third of Family Physicians Remain in Independently Owned Practice, 2017-2019 2020 Quality Changes Among Primary Care Clinicians Participating in the Transforming Clinical Practice Initiative Go to Quality Changes Among Primary Care Clinicians Participating in the Transforming Clinical Practice Initiative 2021 Implementing High-Quality Primary Care: A Report From the National Academies of Sciences, Engineering, and Medicine Go to Implementing High-Quality Primary Care: A Report From the National Academies of Sciences, Engineering, and Medicine 2020 Incorporating machine learning and social determinants of health indicators into prospective risk adjustment for health plan payments Go to Incorporating machine learning and social determinants of health indicators into prospective risk adjustment for health plan payments
2021 One-Third of Family Physicians Remain in Independently Owned Practice, 2017-2019 Go to One-Third of Family Physicians Remain in Independently Owned Practice, 2017-2019
2020 Quality Changes Among Primary Care Clinicians Participating in the Transforming Clinical Practice Initiative Go to Quality Changes Among Primary Care Clinicians Participating in the Transforming Clinical Practice Initiative
2021 Implementing High-Quality Primary Care: A Report From the National Academies of Sciences, Engineering, and Medicine Go to Implementing High-Quality Primary Care: A Report From the National Academies of Sciences, Engineering, and Medicine
2020 Incorporating machine learning and social determinants of health indicators into prospective risk adjustment for health plan payments Go to Incorporating machine learning and social determinants of health indicators into prospective risk adjustment for health plan payments