Phoenix Newsletter - October 2025 President’s Message: Enduring Commitments in a Time of Change Read President’s Message: Enduring Commitments in a Time of Change
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 2025 Natural Language Processing Improves Reliable Identification of COVID-19 Compared to Diagnostic Codes Alone Go to Natural Language Processing Improves Reliable Identification of COVID-19 Compared to Diagnostic Codes Alone 2019 Physician Burnout and Higher Clinic Capacity to Address Patients’ Social needs Go to Physician Burnout and Higher Clinic Capacity to Address Patients’ Social needs 2016 How Other Countries Use Deprivation Indices-And Why The United States Desperately Needs One Go to How Other Countries Use Deprivation Indices-And Why The United States Desperately Needs One 2025 Validating 8 Area-Based Measures of Social Risk for Predicting Health and Mortality Go to Validating 8 Area-Based Measures of Social Risk for Predicting Health and Mortality
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 2025 Natural Language Processing Improves Reliable Identification of COVID-19 Compared to Diagnostic Codes Alone Go to Natural Language Processing Improves Reliable Identification of COVID-19 Compared to Diagnostic Codes Alone 2019 Physician Burnout and Higher Clinic Capacity to Address Patients’ Social needs Go to Physician Burnout and Higher Clinic Capacity to Address Patients’ Social needs 2016 How Other Countries Use Deprivation Indices-And Why The United States Desperately Needs One Go to How Other Countries Use Deprivation Indices-And Why The United States Desperately Needs One 2025 Validating 8 Area-Based Measures of Social Risk for Predicting Health and Mortality Go to Validating 8 Area-Based Measures of Social Risk for Predicting Health and Mortality
2025 Natural Language Processing Improves Reliable Identification of COVID-19 Compared to Diagnostic Codes Alone Go to Natural Language Processing Improves Reliable Identification of COVID-19 Compared to Diagnostic Codes Alone
2019 Physician Burnout and Higher Clinic Capacity to Address Patients’ Social needs Go to Physician Burnout and Higher Clinic Capacity to Address Patients’ Social needs
2016 How Other Countries Use Deprivation Indices-And Why The United States Desperately Needs One Go to How Other Countries Use Deprivation Indices-And Why The United States Desperately Needs One
2025 Validating 8 Area-Based Measures of Social Risk for Predicting Health and Mortality Go to Validating 8 Area-Based Measures of Social Risk for Predicting Health and Mortality
