101 research outputs found

    Diabetes Prevalence and Monitoring in Nonmetropolitan and Metropolitan Areas Within a Commercially Insured U.S. Population

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    Overview of Key Findings Enrollees living in nonmetropolitan areas had 22% higher likelihood of having diabetes, even after controlling for factors like age and region. The prevalence of diabetes in 2019-2020 was 7.9% in nonmetropolitan areas and 6.2% in metropolitan areas. Annual hemoglobin A1c (HbA1c) testing occurred for 85.1% of nonmetropolitan and 85.7% of metropolitan enrollees with diabetes. After controlling for other factors, we found significantly lower testing for those in nonmetropolitan areas. For diabetic enrollees, having an HbA1c test in 2019 was associated with an 8% decrease in the likelihood of non-cardiovascular complications related to diabetes and a 6% decrease in the likelihood of inpatient diabetes care in 2020

    Rural/Urban Disparities in Utilization of Diabetes Self-Management Training to the Fee-for-Service Medicare Population

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    Overview of Key Findings In 2016, rural fee-for-service (FFS) Medicare beneficiaries represented 21.7% of the population diagnosed with diabetes, but only 2.7% of the population utilizing Diabetes Self-Management Training. Utilization of DSMT services in 2016 occurred in 76 rural counties and 309 urban counties. Average utilization rates of DSMT services were greater in rural counties than urban counties (5.5% vs. 2.5%)

    Rural/Urban Disparities in the Utilization of Health and Behavioral Assessments/Interventions in the Fee-for-Service Medicare Population

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    Overview of Key Findings In 2016, rural county residents represented 21.8% of the fee-for-service (FFS) Medicare population, but only 1.6% of rural FFS beneficiaries live in a county with local utilization of Health and Behavioral Assessments and Interventions (HBAI) services. Utilization of HBAI services in 2016 occurred in 19 (9.7%) rural counties and 176 (90.3%) urban counties. Average utilization rates of HBAI services were higher in rural counties than urban counties (0.7% vs. 0.4%)

    Rural/Urban Disparities in Utilization of Medical Nutrition Therapy to the Fee-for-Service Medicare Population

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    Overview of Key Findings In 2016, 21.8% of the fee-for-service (FFS) Medicare population resided in a rural county, but only 3.7% of enrollees residing in a county with utilization of Medical Nutrition Therapy (MNT) services were rural county residents. Utilization of MNT services in 2016 occurred in 92 rural counties and 388 urban counties. Average utilization rates of MNT services were greater in rural counties than urban counties (3.1% vs. 1.9%)

    A Tale of Two Cities? The Heterogeneous Impact of Medicaid Managed Care

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    Evaluating Accountable Care Organizations is difficult because there is a great deal of heterogeneity in terms of their reimbursement incentives and other programmatic features. We examine how variation in reimbursement incentives and administration among two Medicaid managed care plans impacts uti- lization and spending. We use a quasi-experimental approach exploiting the timing and county-specific implementation of Medicaid managed care mandates in two contiguous regions of Kentucky. We find large differences in the relative success of each plan in reducing utilization and spending that are likely driven by important differences in plan design. The plan that capitated primary care physicians and contracted out many administrative responsibilities to an experienced managed care organization achieved significant reductions in outpatient and professional utilization. The plan that opted for a fee-for-service reimbursement scheme with a group withhold and handled administration internally saw a much more modest reduction in outpatient utilization and an increase in professional utilization

    Medicaid Managed Care and the Health Care Utilization of Foster Children

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    A recent trend in state Medicaid programs is the transition of vulnerable populations into Medicaid managed care (MMC) who were initially carved out of such coverage, such as foster children or those with disabilities. The purpose of this article is to evaluate the impact of the transition of foster children from fee-for-service Medicaid coverage to MMC coverage on outpatient health care utilization. There is very little empirical evidence on the impact of managed care on the health care utilization of foster children because of the recent timing of these transitions as well as challenges associated with finding data sets large enough to contain a sufficient number of foster children for such analysis. Using administrative Medicaid data from Kentucky, we use retrospective difference-in-differences analysis to compare the outpatient utilization of foster children transitioned to MMC in one region of the state with foster children in the rest of the state who remained in fee-for-service coverage. We find that the transition to MMC led to a 4 percentage point reduction in the probability of having any monthly outpatient utilization. We also estimate that MMC leads to a reduction in outpatient spending

    Increased Rates of Death from Unintentional Injury among Non-Hispanic White, American Indian/Alaska Native, and Non-Metropolitan Communities

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    Overview of Key Findings Living in a nonmetropolitan area is associated with an increase in the age-adjusted death rate from unintentional injuries, from 46.2 in metropolitan areas to 59.2 in nonmetropolitan areas in 2018, with all races/ethnicity groups affected except for non-Hispanic Black. The ratio of unintentional injury deaths in nonmetropolitan areas, compared to metropolitan areas, was 1.28 overall, ranging from 1.05 to 1.56 depending on race and ethnicity. American Indians and Alaska Natives have the highest rate of living in nonmetropolitan areas (39.5%), and this group has the greatest increase in death from unintentional injury associated with living in a nonmetropolitan setting (from 67.7 to 105.3 per 100,000). There is no association between urbanization and race/ethnicity on the rate of emergency department visits for nonfatal unintentional injuries
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