The existence of health disparities among specific populations has long been recognized. Substantial variations in health insurance coverage, access to providers, use of specific clinical services, and patient-centered outcomes among different groups are well documented. Differences in levels of medical knowledge and information sources, trust and skepticism, participation, social support, and resources can vary significantly by population demographic. Adverse effects on healthcare equity have also been shown to be the result of clinician judgment, healthcare facility characteristics, and cultural milieu. A robust evidence base has determined that the causes of these disparate outcomes are multifactorial and include race, ethnic group, income, education, and age. It is difficult to attribute blame to any single factor, as many of the predictors are inextricably linked.
Identifying and implementing effective strategies to eliminate inequities in health status should be made a national priority. Achieving this ambitious goal will require multiple, preferably synergistic, interventions, including improved data systems, initiatives to appropriately train healthcare professionals, recruiting more providers from disadvantaged minority backgrounds, and increased regulatory vigilance.
This issue of The American Journal of Managed Care® (AJMC®) includes studies that further quantify the negative health impact of reduced health literacy and food insecurity. While typically outside the purview of clinicians and health plans, Berkowitz et al demonstrate the dramatic effect of food insecurity on both patient-centered outcomes and healthcare costs.
The issue also includes evaluations of innovative programs aimed at mitigating the negative effects of disparities. Specifically, Ghany and colleagues compared the clinical and economic impacts of a “high-touch” primary care model that included more frequent and longer provider encounters, courtesy transportation, and on-site medication dispensing. Beneficiaries who had access to the supplemental benefits visited their clinicians more often and had better preventive care use and medication adherence, as well as fewer hospitalizations, than those who did not have access to the program. Moreover, compared with those who received regular care, median healthcare costs were lower for those in the high-touch program.
In addition, Iezzoni et al report that the Acute Community Care Program, which partnered with an ambulance service to provide after-hours urgent care for socioeconomically disadvantaged adults, significantly reduced emergency department utilization. The decreasing cost of the intervention over the 2-year study suggests that the program might become cost-neutral as economies of scale are eventually realized.
Reducing health disparities is a herculean task requiring both population-based and individualized solutions. Moving forward, it is our hope that AJMC® will contribute to this issue through research aiming to better recognize the critical factors contributing to disparities in health outcomes and provide rigorous evaluations of interventions that reduce the clinical burden of disparities on individual and population health. 
How English- and Spanish-Preferring Patients With Cancer Decide on Emergency Care
November 13th 2024Care delivery innovations to help patients with cancer avoid emergency department visits are underused. The authors interviewed English- and Spanish-preferring patients at 2 diverse health systems to understand why.
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Geographic Variations and Facility Determinants of Acute Care Utilization and Spending for ACSCs
November 12th 2024Emergency department (ED) visits and hospitalizations for ambulatory care–sensitive conditions (ACSCs) among Medicaid patients constitute almost 40% of all ED visits and hospitalizations, with lower rates observed in areas with greater proximity to urgent care facilities and density of rural health clinics.
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Pervasiveness and Clinical Staff Perceptions of HPV Vaccination Feedback
November 11th 2024This article used regression analyses to quantify how clinical staff perceive provider feedback to improve human papillomavirus (HPV) vaccination rates and determine the prevalence of such feedback.
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