Home Research Research Library Solo practitioners remain important contributors to primary care Solo practitioners remain important contributors to primary care 2015 Author(s) Peikes, D N, and Dale, S B Topic(s) Role of Primary Care Keyword(s) Policy Brief Commentaries, and Practice Organization / Ownership Volume Journal of the American Board of Family Medicine Source Journal of the American Board of Family Medicine Peterson et al1 raise important issues about the decline in the proportion of solo practitioners in primary care and whether it will have a detrimental effect on access to care in rural areas. They use practice organization data provided by family physicians who took the American Board of Family Medicine’s recertification examination in 1993, 1998, 2003, 2008, and 2013 to track the proportion of family physicians in solo practice. The reported percentage was 13.9% in 1993, stayed approximately 16% from 1998 to 2008, and then decreased significantly to 11.0% in 2013 (P < .01). ABFM Research Read all 2016 The Diversity of Providers on the Family Medicine Team Go to The Diversity of Providers on the Family Medicine Team 2020 Using Machine Learning to Predict Primary Care and Advance Workforce Research Go to Using Machine Learning to Predict Primary Care and Advance Workforce Research 2021 Digital health needs for implementing high-quality primary care: recommendations from the National Academies of Sciences, Engineering, and Medicine Go to Digital health needs for implementing high-quality primary care: recommendations from the National Academies of Sciences, Engineering, and Medicine 2021 Reenvisioning Family Medicine Residency Education Go to Reenvisioning Family Medicine Residency Education
Author(s) Peikes, D N, and Dale, S B Topic(s) Role of Primary Care Keyword(s) Policy Brief Commentaries, and Practice Organization / Ownership Volume Journal of the American Board of Family Medicine Source Journal of the American Board of Family Medicine
ABFM Research Read all 2016 The Diversity of Providers on the Family Medicine Team Go to The Diversity of Providers on the Family Medicine Team 2020 Using Machine Learning to Predict Primary Care and Advance Workforce Research Go to Using Machine Learning to Predict Primary Care and Advance Workforce Research 2021 Digital health needs for implementing high-quality primary care: recommendations from the National Academies of Sciences, Engineering, and Medicine Go to Digital health needs for implementing high-quality primary care: recommendations from the National Academies of Sciences, Engineering, and Medicine 2021 Reenvisioning Family Medicine Residency Education Go to Reenvisioning Family Medicine Residency Education
2016 The Diversity of Providers on the Family Medicine Team Go to The Diversity of Providers on the Family Medicine Team
2020 Using Machine Learning to Predict Primary Care and Advance Workforce Research Go to Using Machine Learning to Predict Primary Care and Advance Workforce Research
2021 Digital health needs for implementing high-quality primary care: recommendations from the National Academies of Sciences, Engineering, and Medicine Go to Digital health needs for implementing high-quality primary care: recommendations from the National Academies of Sciences, Engineering, and Medicine
2021 Reenvisioning Family Medicine Residency Education Go to Reenvisioning Family Medicine Residency Education