Cross-Sectional Associations: Social Risks and Diabetes Care Quality, Outcomes.

INTRODUCTION: Social risks (e.g., food/transportation insecurity) can hamper type 2 diabetes mellitus (T2DM) self-management, leading to poor outcomes. To determine the extent to which high-quality care can overcome social risks' health impacts, this study assessed the associations between reported social risks, receipt of guideline-based T2DM care, and T2DM outcomes when care is up to date among community health center patients. METHODS: A cross-sectional study of adults aged ≥18 years (N=73,484) seen at 186 community health centers, with T2DM and ≥1 year of observation between July 2016 and February 2020. Measures of T2DM care included up-to-date HbA1c, microalbuminuria, low-density lipoprotein screening, and foot examination, and active statin prescription when indicated. Measures of T2DM outcomes among patients with up-to-date care included blood pressure, HbA1c, and low-density lipoprotein control on or within 6‒12 months of an index encounter. Analyses were conducted in 2021. RESULTS: Individuals reporting transportation or housing insecurity were less likely to have up-to-date low-density lipoprotein screening; no other associations were seen between social risks and clinical care quality. Among individuals with up-to-date care, food insecurity was associated with lower adjusted rates of controlled HbA1c (79% vs 75%, p<0.001), and transportation insecurity was associated with lower rates of controlled HbA1c (79% vs 74%, p=0.005), blood pressure (74% vs 72%, p=0.025), and low-density lipoprotein (61% vs 57%, p=0.009) than among those with no reported need. CONCLUSIONS: Community health center patients received similar care regardless of the presence of social risks. However, even among those up to date on care, social risks were associated with worse T2DM control. Future research should identify strategies for improving HbA1c control for individuals with social risks. TRIAL REGISTRATION: This study is registered at www. CLINICALTRIALS: gov NCT03607617.

Post-ACA Trends in the US Primary Care Physician Shortage with Index of Relative Rurality.

PURPOSE: Index of Relative Rurality (IRR) captures multiple indicators of health care access but is underrepresented in the primary care literature. This research investigates trends in primary care physician supply in US counties with respect to IRR and time since the Affordable Care Act (ACA) was passed. METHODS: In this ecologic study, annual ratio of primary care physicians per 100,000 population in US counties was computed for 2010-2017 (3,138 counties over 8 years, N = 25,104). IRR assigned in 2010 placed counties on a rural-urban continuum without the use of a threshold. Primary outcomes were associations of IRR and year with physician ratio and annual change in physician ratio. Multivariable regression models were used to detect associations. The a priori hypothesis was that neither rurality nor year was associated with physician ratio or annual growth. RESULTS: IRR and year were independently inversely associated with the ratio of primary care physicians per 100,000 and annual growth in physician ratio. A post-hoc analysis of highly rural US states revealed positive median growth rates in some areas. CONCLUSIONS: Despite significant policies in the ACA designed to address the maldistribution of the US primary care physician workforce, more funding and further innovative reforms are urgently necessary to avert a rural workforce crisis in the coming decades. IRR may be a useful continuous, threshold-free metric of rurality in future health services research.