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1.
JAMA ; 328(11): 1085-1099, 2022 09 20.
Article in English | MEDLINE | ID: mdl-36125468

ABSTRACT

Importance: Medicaid is the largest health insurance program by enrollment in the US and has an important role in financing care for eligible low-income adults, children, pregnant persons, older adults, people with disabilities, and people from racial and ethnic minority groups. Medicaid has evolved with policy reform and expansion under the Affordable Care Act and is at a crossroads in balancing its role in addressing health disparities and health inequities against fiscal and political pressures to limit spending. Objective: To describe Medicaid eligibility, enrollment, and spending and to examine areas of Medicaid policy, including managed care, payment, and delivery system reforms; Medicaid expansion; racial and ethnic health disparities; and the potential to achieve health equity. Evidence Review: Analyses of publicly available data reported from 2010 to 2022 on Medicaid enrollment and program expenditures were performed to describe the structure and financing of Medicaid and characteristics of Medicaid enrollees. A search of PubMed for peer-reviewed literature and online reports from nonprofit and government organizations was conducted between August 1, 2021, and February 1, 2022, to review evidence on Medicaid managed care, delivery system reforms, expansion, and health disparities. Peer-reviewed articles and reports published between January 2003 and February 2022 were included. Findings: Medicaid covered approximately 80.6 million people (mean per month) in 2022 (24.2% of the US population) and accounted for an estimated $671.2 billion in health spending in 2020, representing 16.3% of US health spending. Medicaid accounted for an estimated 27.2% of total state spending and 7.6% of total federal expenditures in 2021. States enrolled 69.5% of Medicaid beneficiaries in managed care plans in 2019 and adopted 139 delivery system reforms from 2003 to 2019. The 38 states (and Washington, DC) that expanded Medicaid under the Affordable Care Act experienced gains in coverage, increased federal revenues, and improvements in health care access and some health outcomes. Approximately 56.4% of Medicaid beneficiaries were from racial and ethnic minority groups in 2019, and disparities in access, quality, and outcomes are common among these groups within Medicaid. Expanding Medicaid, addressing disparities within Medicaid, and having an explicit focus on equity in managed care and delivery system reforms may represent opportunities for Medicaid to advance health equity. Conclusions and Relevance: Medicaid insures a substantial portion of the US population, accounts for a significant amount of total health spending and state expenditures, and has evolved with delivery system reforms, increased managed care enrollment, and state expansions. Additional Medicaid policy reforms are needed to reduce health disparities by race and ethnicity and to help achieve equity in access, quality, and outcomes.


Subject(s)
Health Care Reform , Health Equity , Medicaid , Aged , Child , Ethnicity , Female , Health Care Reform/economics , Health Equity/standards , Humans , Insurance Coverage/economics , Medicaid/economics , Medicaid/organization & administration , Medicaid/standards , Minority Groups/statistics & numerical data , Patient Protection and Affordable Care Act/economics , Pregnancy , United States/epidemiology
2.
N Engl J Med ; 386(25): 2355-2356, 2022 06 23.
Article in English | MEDLINE | ID: mdl-35476634
4.
J Am Geriatr Soc ; 69(2): 485-493, 2021 02.
Article in English | MEDLINE | ID: mdl-33216957

ABSTRACT

BACKGROUND AND OBJECTIVES: Opioid use and misuse are prevalent and remain a national crisis. This study identified beneficiary characteristics associated with filling opioid prescriptions, variation in opioid dosing, and opioid use with average daily doses (ADDs) equal to 120 morphine milligram equivalents (MMEs) or more in the 100% Medicare fee-for-service (FFS) population. DESIGN, SETTING, PARTICIPANTS, AND MEASUREMENTS: In a cohort of FFS beneficiaries with 12 months of Medicare Part D coverage in 2016, we examined patient factors associated with filling an opioid prescription (n = 20,880,490) and variation in ADDs (n = 7,325,031) in a two-part model. Among those filling opioids, we also examined the probability of ADD equal to 120 MMEs or more via logistic regression. RESULTS: About 35% of FFS beneficiaries had one or more opioid prescription fills in 2016 and 1.5% had ADDs equal to 120 MMEs or more. Disability-eligible beneficiaries and beneficiaries with multiple chronic conditions were more likely to fill opioids, to have higher ADDs or were more likely to have ADD equal to 120 MMEs or more. Beneficiaries with chronic obstructive pulmonary disease (COPD) were more likely to fill opioids (odds ratio (OR) = 1.47, 95% confidence interval (CI) = 1.46-1.47), have higher ADDs (rate ratio = 1.06, 95% CI = 1.06-1.06) when filled and were more likely to have ADD equal to 120 MMEs or more (OR = 1.23, 95% CI = 1.21-1.24). Finally, black and Hispanic beneficiaries were less likely to fill opioids, had lower overall doses and were less likely to have ADDs equal to 120 MMEs or more compared to white beneficiaries. CONCLUSION: Several beneficiary subgroups have underappreciated risk of adverse events associated with ADD equal to 120 MMEs or more that may benefit from opioid optimization interventions that balance pain management and adverse event risk, especially beneficiaries with COPD who are at risk for respiratory depression.


Subject(s)
Analgesics, Opioid , Pain Management , Practice Patterns, Physicians'/statistics & numerical data , Risk Assessment , Aged , Analgesics, Opioid/administration & dosage , Analgesics, Opioid/adverse effects , Dose-Response Relationship, Drug , Fee-for-Service Plans/statistics & numerical data , Female , Humans , Male , Medicare/statistics & numerical data , Needs Assessment , Opioid-Related Disorders/epidemiology , Opioid-Related Disorders/prevention & control , Pain Management/methods , Pain Management/standards , Prescription Drugs/administration & dosage , Prescription Drugs/adverse effects , United States/epidemiology
6.
J Health Care Poor Underserved ; 29(1): 19-34, 2018.
Article in English | MEDLINE | ID: mdl-29503284

ABSTRACT

PROBLEM/CONDITION: Rural communities often have worse health outcomes, have less access to care, and are less diverse than urban communities. Much of the research on rural health disparities examines disparities between rural and urban communities, with fewer studies on disparities within rural communities. This report provides an overview of racial/ethnic health disparities for selected indicators in rural areas of the United States. REPORTING PERIOD: 2012-2015. DESCRIPTION OF SYSTEM: Self-reported data from the 2012-2015 Behavioral Risk Factor Surveillance System were pooled to evaluate racial/ethnic disparities in health, access to care, and health-related behaviors among rural residents in all 50 states and the District of Columbia. Using the National Center for Health Statistics 2013 Urban-Rural Classification Scheme for Counties to assess rurality, this analysis focused on adults living in noncore (rural) counties. RESULTS: Racial/ethnic minorities who lived in rural areas were younger (more often in the youngest age group) than non-Hispanic whites. Except for Asians and Native Hawaiians and other Pacific Islanders (combined in the analysis), more racial/ethnic minorities (compared with non-Hispanic whites) reported their health as fair or poor, that they had obesity, and that they were unable to see a physician in the past 12 months because of cost. All racial/ethnic minority populations were less likely than non-Hispanic whites to report having a personal health care provider. Non-Hispanic whites had the highest estimated prevalence of binge drinking in the past 30 days. INTERPRETATION: Although persons in rural communities often have worse health outcomes and less access to health care than those in urban communities, rural racial/ethnic minority populations have substantial health, access to care, and lifestyle challenges that can be overlooked when considering aggregated population data. This study revealed difficulties among non-Hispanic whites as well, primarily related to health-related risk behaviors. Across each population, the challenges vary. PUBLIC HEALTH ACTION: Stratifying data by different demographics, using community health needs assessments, and adopting and implementing the National Culturally and Linguistically Appropriate Services Standards can help rural communities identify disparities and develop effective initiatives to eliminate them, which aligns with a Healthy People 2020 overarching goal: achieving health equity.


Subject(s)
Ethnicity/statistics & numerical data , Health Status Disparities , Minority Groups/statistics & numerical data , Racial Groups/statistics & numerical data , Rural Population/statistics & numerical data , Adolescent , Adult , Aged , Female , Health Services Accessibility , Humans , Male , Middle Aged , Risk Factors , United States , Young Adult
7.
MMWR Surveill Summ ; 66(23): 1-9, 2017 11 17.
Article in English | MEDLINE | ID: mdl-29145359

ABSTRACT

PROBLEM/CONDITION: Rural communities often have worse health outcomes, have less access to care, and are less diverse than urban communities. Much of the research on rural health disparities examines disparities between rural and urban communities, with fewer studies on disparities within rural communities. This report provides an overview of racial/ethnic health disparities for selected indicators in rural areas of the United States. REPORTING PERIOD: 2012-2015. DESCRIPTION OF SYSTEM: Self-reported data from the 2012-2015 Behavioral Risk Factor Surveillance System were pooled to evaluate racial/ethnic disparities in health, access to care, and health-related behaviors among rural residents in all 50 states and the District of Columbia. Using the National Center for Health Statistics 2013 Urban-Rural Classification Scheme for Counties to assess rurality, this analysis focused on adults living in noncore (rural) counties. RESULTS: Racial/ethnic minorities who lived in rural areas were younger (more often in the youngest age group) than non-Hispanic whites. Except for Asians and Native Hawaiians and other Pacific Islanders (combined in the analysis), more racial/ethnic minorities (compared with non-Hispanic whites) reported their health as fair or poor, that they had obesity, and that they were unable to see a physician in the past 12 months because of cost. All racial/ethnic minority populations were less likely than non-Hispanic whites to report having a personal health care provider. Non-Hispanic whites had the highest estimated prevalence of binge drinking in the past 30 days. INTERPRETATION: Although persons in rural communities often have worse health outcomes and less access to health care than those in urban communities, rural racial/ethnic minority populations have substantial health, access to care, and lifestyle challenges that can be overlooked when considering aggregated population data. This study revealed difficulties among non-Hispanic whites as well, primarily related to health-related risk behaviors. Across each population, the challenges vary. PUBLIC HEALTH ACTION: Stratifying data by different demographics, using community health needs assessments, and adopting and implementing the National Culturally and Linguistically Appropriate Services Standards can help rural communities identify disparities and develop effective initiatives to eliminate them, which aligns with a Healthy People 2020 overarching goal: achieving health equity.


Subject(s)
Ethnicity/statistics & numerical data , Health Status Disparities , Minority Groups/statistics & numerical data , Racial Groups/statistics & numerical data , Rural Health/ethnology , Adolescent , Adult , Aged , Behavioral Risk Factor Surveillance System , Female , Humans , Male , Middle Aged , United States/epidemiology , Young Adult
8.
Transgend Health ; 1(1): 250-265, 2016.
Article in English | MEDLINE | ID: mdl-28861539

ABSTRACT

Purpose: To identify and describe the transgender population in the Medicare program using administrative data. Methods: Using a combination of International Classification of Diseases ninth edition (ICD-9) codes relating to transsexualism and gender identity disorder, we analyzed 100% of the 2013 Centers for Medicare & Medicaid Services (CMS) Medicare Fee-For-Service (FFS) "final action" claims from both institutional and noninstitutional providers (∼1 billion claims) to identify individuals who may be transgender Medicare beneficiaries. To confirm, we developed and applied a multistage validation process. Results: Four thousand ninety-eight transgender beneficiaries were identified, of which ∼90% had confirmatory diagnoses, billing codes, or evidence of a hormone prescription. In general, the racial, ethnic, and geographic distribution of the Medicare transgender population tends to reflect the broader Medicare population. However, age, original entitlement status, and disease burden of the transgender population appear substantially different. Conclusions: Using a variety of claims information, ranging from claims history to additional diagnoses, billing modifiers, and hormone prescriptions, we demonstrate that administrative data provide a valuable resource for identifying a lower bound of the Medicare transgender population. In addition, we provide a baseline description of the diversity and disease burden of the population and a framework for future research.

9.
Pediatrics ; 123 Suppl 3: S205-10, 2009 Mar.
Article in English | MEDLINE | ID: mdl-19221165

ABSTRACT

Children who are from racial and ethnic minority groups, are of low income, or are both are affected disproportionately by asthma. Despite advances in the treatment and management of asthma, including the development of guidelines for clinical practice, substantial racial, ethnic, and socioeconomic disparities exist in both health care quality and health outcomes. Financial incentives generally have the potential to improve overall quality and, when targeted specifically toward disparity reduction, may be able to help close the quality gap. For this strategy to succeed, however, efforts must be made to eliminate fundamental access barriers created by uneven, unstable, and seriously constrained health care financing for low-income children.


Subject(s)
Asthma/economics , Asthma/therapy , Ethnicity , Healthcare Disparities , Racial Groups , Ambulatory Care , Child , Child Health Services , Emergency Service, Hospital , Hospitalization , Humans , Medicaid , Medically Uninsured , Quality of Health Care , Reimbursement, Incentive , Socioeconomic Factors , State Health Plans , United States
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