Home Research Research Library The General Public Vastly Overestimates Primary Care Spending in the United States The General Public Vastly Overestimates Primary Care Spending in the United States 2025 Author(s) Ma, Melissa, Etz, Rebecca S, Bazemore, Andrew W, and Grumbach, Kevin Topic(s) Achieving Health System Goals Volume Annals of Family Medicine Source Annals of Family Medicine This study assessed public perceptions of US primary care spending. An online survey was conducted using SurveyMonkey Audience (Symphony Technology Group), achieving a sample of 1,135 adult respondents reflective of the demographic distribution of the US adult population. Respondents’ mean estimate of the percentage of US health care spending funding primary care was 51.8% (SD 24.8, interquartile range [IQR] 40). Respondents’ mean estimate of the percentage of health care needs addressed by primary care was 58.7% (SD 22.2, IQR 28.5) These results reveal a tremendous disparity between current levels of primary care spending (4.7%) and public perceptions of primary care expenditure and value. ABFM Research Read all 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 2005 From specialty-based to practice-based: a new blueprint for the American Board of Family Medicine cognitive examination Go to From specialty-based to practice-based: a new blueprint for the American Board of Family Medicine cognitive examination 2026 Demonstrating the Reliability and Structural Validity of Creating Patient-Level and Clinician-Level Scores on the Person Centered Primary Care Measure Go to Demonstrating the Reliability and Structural Validity of Creating Patient-Level and Clinician-Level Scores on the Person Centered Primary Care Measure 2021 Advancing primary care with Artificial Intelligence and Machine Learning Go to Advancing primary care with Artificial Intelligence and Machine Learning
Author(s) Ma, Melissa, Etz, Rebecca S, Bazemore, Andrew W, and Grumbach, Kevin Topic(s) Achieving Health System Goals Volume Annals of Family Medicine Source Annals of Family Medicine
ABFM Research Read all 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 2005 From specialty-based to practice-based: a new blueprint for the American Board of Family Medicine cognitive examination Go to From specialty-based to practice-based: a new blueprint for the American Board of Family Medicine cognitive examination 2026 Demonstrating the Reliability and Structural Validity of Creating Patient-Level and Clinician-Level Scores on the Person Centered Primary Care Measure Go to Demonstrating the Reliability and Structural Validity of Creating Patient-Level and Clinician-Level Scores on the Person Centered Primary Care Measure 2021 Advancing primary care with Artificial Intelligence and Machine Learning Go to Advancing primary care with Artificial Intelligence and Machine Learning
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
2005 From specialty-based to practice-based: a new blueprint for the American Board of Family Medicine cognitive examination Go to From specialty-based to practice-based: a new blueprint for the American Board of Family Medicine cognitive examination
2026 Demonstrating the Reliability and Structural Validity of Creating Patient-Level and Clinician-Level Scores on the Person Centered Primary Care Measure Go to Demonstrating the Reliability and Structural Validity of Creating Patient-Level and Clinician-Level Scores on the Person Centered Primary Care Measure
2021 Advancing primary care with Artificial Intelligence and Machine Learning Go to Advancing primary care with Artificial Intelligence and Machine Learning
