research Performance Evaluation of the Generative Pre-trained Transformer (GPT-4) on the Family Medicine In-Training Examination Read Performance Evaluation of the Generative Pre-trained Transformer (GPT-4) on the Family Medicine In-Training Examination
Beyond the Clinic Family Medicine on a Mission Part 1: How Air Force Physicians Achieve Humanitarian Goals Read Family Medicine on a Mission Part 1: How Air Force Physicians Achieve Humanitarian Goals
Phoenix Newsletter - March 2025 President’s Message: ABFM’s Unwavering Commitment to Diplomates and the Specialty Read President’s Message: ABFM’s Unwavering Commitment to Diplomates and the Specialty
Home Research Research Library Association Between Social Deprivation, Race/Ethnicity, and Unplanned 30-Day Hospital Readmissions for Medicare Beneficiaries Association Between Social Deprivation, Race/Ethnicity, and Unplanned 30-Day Hospital Readmissions for Medicare Beneficiaries 2024 Author(s) Ostrovsky, Andrey, Chen, Weiyun, Zemelman, Cal, Phillips, Robert L, Bazemore, Andrew W, and Winstead, Lauren Keyword(s) Medicare Volume AJMC Source AJMC Social and economic factors impact a person’s health outcomes in addition to traditional clinical factors, and there is growing recognition of the impact of social risk factors on health outcomes. National health insurers like Medicare and Medicaid, which pay for care for people who are the most at risk for experiencing health disparities, need measures of social risk to implement targeted programming and payment allocation to equitably prevent rehospitalizations. Individual social risk variables, such as those collected through social determinants of health (SDOH) surveys, have been used to predict outcomes, but there is growing scrutiny over use of individual variables by insurance carriers because collection of individual data can be deliberately skewed and may be unreliable. Community variables, however, are less gameable and do not suffer from trust barriers to collection while demonstrating compelling associations with meaningful clinical outcomes, like hospital readmission rates. In particular, small geographic area characteristics have been shown to predict 30-day hospital readmission rates across multiple conditions. A measure of neighborhood disadvantage has also been associated with all-cause 30-day hospital readmissions to a particular hospital. The relationship between neighborhood disadvantage and readmissions has been shown to be strongest in the top quartile of social deprivation such that an individual who is poor in a high-disadvantage neighborhood has worse outcomes than an individual who is poor in a medium- or low-disadvantage neighborhood. However, no one to date has shown the relationship between a small area measure of social deprivation and all-cause readmissions at a national scale. Additionally, the role of systemic racism, an important social determinant of health that is not included in social deprivation indices, in all-cause readmissions has not been adequately studied at a national scale. This analysis aimed to use a comprehensive data set of all Medicare hospital discharges across the US over a 1-year period to characterize the relationship between a small-area social deprivation measure, race/ethnicity as a proxy for systemic racism, and all-cause unplanned 30-day readmissions. Read More ABFM Research Read all 2025 The General Public Vastly Overestimates Primary Care Spending in the United States Go to The General Public Vastly Overestimates Primary Care Spending in the United States 2025 The Association Between Residency Characteristics and Graduates Caring for Children: A Family Medicine Residency Outcomes Project Go to The Association Between Residency Characteristics and Graduates Caring for Children: A Family Medicine Residency Outcomes Project 2025 Exploring Community-Based Residency Programs in High-Need Black Counties Go to Exploring Community-Based Residency Programs in High-Need Black 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
Author(s) Ostrovsky, Andrey, Chen, Weiyun, Zemelman, Cal, Phillips, Robert L, Bazemore, Andrew W, and Winstead, Lauren Keyword(s) Medicare Volume AJMC Source AJMC
ABFM Research Read all 2025 The General Public Vastly Overestimates Primary Care Spending in the United States Go to The General Public Vastly Overestimates Primary Care Spending in the United States 2025 The Association Between Residency Characteristics and Graduates Caring for Children: A Family Medicine Residency Outcomes Project Go to The Association Between Residency Characteristics and Graduates Caring for Children: A Family Medicine Residency Outcomes Project 2025 Exploring Community-Based Residency Programs in High-Need Black Counties Go to Exploring Community-Based Residency Programs in High-Need Black 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
2025 The General Public Vastly Overestimates Primary Care Spending in the United States Go to The General Public Vastly Overestimates Primary Care Spending in the United States
2025 The Association Between Residency Characteristics and Graduates Caring for Children: A Family Medicine Residency Outcomes Project Go to The Association Between Residency Characteristics and Graduates Caring for Children: A Family Medicine Residency Outcomes Project
2025 Exploring Community-Based Residency Programs in High-Need Black Counties Go to Exploring Community-Based Residency Programs in High-Need Black 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