Contributions of Key Components of a Medical Home on Child Health Outcomes.

OBJECTIVES: The medical home model is a widely accepted model of team-based primary care. We examined five components of the medical home model in order to better understand their unique contributions to child health outcomes. METHODS: We analyzed data from the 2016-2017 National Survey of Children's Health (NSCH) to assess five key medical home components - usual source of care, personal doctor/nurse, family-centered care, referral access, and coordinated care - and their associations with child outcomes. Health outcomes included emergency department (ED) visits, unmet health care needs, preventive medical visits, preventive dental visits, health status, and oral health status. We used multivariate regression controlling for child characteristics including age, sex, primary household language, race/ethnicity, income, parental education, health insurance coverage, and special healthcare needs. RESULTS: Children who were not white, living in non-English households, with less family income or education, or who were uninsured had lower rates of access to a medical home and its components. A medical home was associated with beneficial child outcomes for all six of the outcomes and the family-centered care component was associated with better results in five outcomes. ED visits were less likely for children who received care coordination (aOR 0.81, CI 0.70-0.94). CONCLUSIONS FOR PRACTICE: Our study highlights the role of key components of the medical home and the importance of access to family-centered health care that provides needed coordination for children. Health care reforms should consider disparities in access to a medical home and specific components and the contributions of each component to provide quality primary care for all children.

The Future of State All-Payer Claims Databases.

State policy makers are under increasing pressure to address the prohibitive cost of health care given the lack of action at the federal level. In 2020, the United States spent more on health care than any other country in the world-$4.1 trillion, representing 19.7% of the nation's gross domestic product. States are trying to better understand their role in health care spending and to think creatively about strategies for addressing health care cost growth. One way they are doing this is through the development and use of state-based all-payer claims databases (APCDs). APCDs are health data organizations that hold transactional information from public (Medicare and Medicaid) and private health insurers (commercial plans and some self-insured employers). APCDs transform this data into useful information on health care costs and trends. This article describes states' use of APCDs and recent efforts that have provided benefits and challenges for states interested in this unique opportunity to inform health policy. Although challenges exist, there is new funding for state APCD improvements in the No Surprises Act, and potential new federal interest will help states enhance their APCD capacity so they can better understand their markets, educate consumers, and create actionable market information.

Changes in Material Hardship During the First Year of the COVID-19 Pandemic.

This article discusses the public's spending of the stimulus checks issued by the US government during 2020 and 2021.

Modeling Financial Eligibility for Medicaid Long-term Services and Supports.

Medicaid plays a significant role in financing long-term services and supports (LTSS) for low-income elderly (65+) in the United States. We modeled the impact of changing income, home equity, and asset limitations on Medicaid eligibility across states. We found that one in five elderly adults (10 million individuals) meet all three tests and would be financially eligible for Medicaid LTSS. Imposing additional restrictions on income allowances and eligibility thresholds had greatest impact on financial eligibility for Medicaid LTSS. Few states have opted to restrict financial eligibility and are instead looking for ways to keep people living independently in the community.

Access and enrollment in safety net programs in the wake of COVID-19: A national cross-sectional survey.

The global COVID-19 pandemic is causing unprecedented job loss and financial strain. It is unclear how those most directly experiencing economic impacts may seek assistance from disparate safety net programs. To identify self-reported economic hardship and enrollment in major safety net programs before and early in the COVID-19 pandemic, we compared individuals with COVID-19 related employment or earnings reduction with other individuals. We created a set of questions related to COVID-19 economic impact that was added to a cross-sectional, nationally representative online survey of American adults (age ≥18, English-speaking) in the AmeriSpeak panel fielded from April 23-27, 2020. All analyses were weighted to account for survey non-response and known oversampling probabilities. We calculated unadjusted bivariate differences, comparing people with and without COVID-19 employment and earnings reductions with other individuals. Our study looked primarily at awareness and enrollment in seven major safety net programs before and since the pandemic (Medicaid, health insurance marketplaces/exchanges, unemployment insurance, food pantries/free meals, housing/renters assistance, SNAP, and TANF). Overall, 28.1% of all individuals experienced an employment reduction (job loss or reduced earnings). Prior to the pandemic, 39.0% of the sample was enrolled in ≥1 safety net program, and 50.0% of individuals who subsequently experienced COVID-19 employment reduction were enrolled in at least one safety net program. Those who experienced COVID-19 employment reduction versus those who did not were significantly more likely to have applied or enrolled in ≥1 program (45.9% versus 11.7%, p<0.001) and also significantly more likely to specifically have enrolled in unemployment insurance (29.4% versus 5.4%, p < .001) and SNAP (16.8% versus 2.8%, p = 0.028). The economic devastation from COVID-19 increases the importance of a robust safety net.

Emergency Flexibility for States to Increase and Maintain Medicaid Eligibility for LTSS under COVID-19.

Medicaid provides essential coverage for health care and long-term services and supports (LTSS) to low-income older adults and disabled individuals but eligibility is complicated and restrictive. In light of the current public health emergency, states have been given new authority to streamline and increase the flexibility of Medicaid LTSS eligibility, helping them enroll eligible individuals and ensure that current beneficiaries are not inadvertently disenrolled. Though state budgets are under increased pressure during the economic crisis created by the coronavirus, we caution states against cutting Medicaid LTSS eligibility or services to balance their budgets. These services are critical to an especially vulnerable population during a global pandemic.

Estimated Costs of a Reinsurance Program to Stabilize the Individual Health Insurance Market: National- and State-Level Estimates.

Reinsurance, an insurance product designed to protect health insurers against the financial risk of covering high-cost enrollees, has attracted bipartisan policy interest as a mechanism to stabilize individual health insurance markets. Three states-Alaska, Minnesota, and Oregon-have implemented state-based reinsurance programs under the Affordable Care Act's 1332 State Innovation Waivers, and reinsurance waivers have been approved though not yet enacted in Maine, Maryland, New Jersey, and Wisconsin. In this article, we estimate the costs of implementing national and state-based reinsurance programs using health spending data from the 2007-2016 Medical Expenditure Panel Survey and state demographic and health insurance coverage data from the 2015-2017 Current Population Survey Annual Social and Economic Supplement. We project that a reinsurance program with an 80% payment rate for expenditures between $40,000 and $250,000 would cost $30.1 billion from 2020-2022. We observed considerable variation in reinsurance programs and estimated costs between the 4 states we examined: California, Florida, Illinois, and Texas. Our projections provide updated estimates of the costs of implementing federal reinsurance programs for the individual health insurance market.

Recent Changes in Health Insurance Coverage for Urban and Rural Veterans: Evidence from the First Year of the Affordable Care Act.

Introduction: Prior to the Affordable Care Act, as many as 1.3 million veterans lacked health insurance. With the passage of the Affordable Care Act, veterans now have new pathways to coverage through Medicaid expansion in those states that chose to expand Medicaid and through private coverage options offered through the Health Insurance Marketplace. We examined the impact of the ACA on health insurance coverage for veterans in expansion and non-expansion states and for urban and rural veterans. Methods: We examined changes in veterans' health insurance coverage following the first year of the ACA, focusing on whether they lived in an urban or rural area and whether they live in a Medicaid expansion state. We used data on approximately 200,000 non-elderly community-dwelling veterans, obtained from the 2013-2014 American Community Survey and estimated differences in the adjusted probability of being uninsured between 2013 and 2014 for both urban and rural areas. Adjusted probabilities were computed by fitting logistic regressions controlling for age, gender, race, marital status, poverty status, education, and employment. Results: There were an estimated 10.1 million U.S. non-elderly veterans in 2013; 82% lived in predominantly urban areas (8.3 million), and the remaining 18% (1.8 million) lived in predominately rural areas. Most veterans lived in the South (43.6%), and rural veterans were more likely to be Southerners than their urban counterparts. On every marker of economic well-being, rural veterans fared worse than urban veterans. They had a statistically significant higher chance of having incomes below 138% of FPG (20.0% versus 17.0%), of being out of the labor force (29.1% versus 23.0%), and of having no more than a high school education (39.6% versus 28.8%). Rural veterans were also more likely to experience at least one functional limitation. Overall, veterans in Medicaid expansion states experienced a significantly larger increase in insurance compared to veterans living in non-expansion states. For rural veterans in Medicaid expansion states, the increase in insurance was 3.5 percentage points, compared with 1.2 percentage points in non-expansion states. Conclusion: Our analysis found a substantial 24% relative decline in the rate of uninsurance for U.S. Veterans, from 9.3 to 7.1% between 2013 and 2014. We found that coverage gains in rural areas were due to gains in Medicaid and individual market coverage. Residence in a Medicaid expansion state was particularly influential for rural veterans - the increase in the insured rate was three times larger in Medicaid expansion states versus non-expansion states. The ACA has had a positive and significant impact on the ability of U.S. Veterans to obtain health insurance coverage specifically for low-income veterans living in rural areas. The poverty rate among Veterans is rising and is particularly an issue for the more recent Gulf War veterans. Providing affordable and accessible health insurance options is part of our commitment to those who have served our country. Our analysis also presents yet another reason for the 17 non-expansion states to consider a Medicaid expansion.

Addressing the Rural Opioid Addiction and Overdose Crisis Through Cross-Sector Collaboration: Little Falls, Minnesota.

Morrison County Community-Based Care Coordination is a collaborative, cross-sector effort in Little Falls, Minnesota, that began in 2014 to reduce the use and abuse of opioids among patients at the local hospital and clinic and within the broader local rural community. As of March 2018, 453 clinic patients discontinued use of controlled substances (a reduction of 44 952 doses each month), and law enforcement stakeholders have reported a decrease in drug crimes related to the sale of narcotics.

Affordable Care Act Impact in Kentucky: Increasing Access, Reducing Disparities.

OBJECTIVES: To examine health insurance disparities since Kentucky's implementation of the Affordable Care Act (ACA). METHODS: Using the American Community Survey, we estimated coverage rates by race/ethnicity before and after implementation of the ACA (2013 and 2015), and we estimated whether groups were over- or underrepresented among the uninsured, compared with their share of the state population. RESULTS: Kentucky's uninsurance rate declined from 14.4% in 2013 to 6.1% in 2015 (P < .001). Uninsurance rates also declined for most racial/ethnic groups, including Blacks (16.7% to 5.5%; P < .001) and Whites (13.3% to 5.3%; P < .001). In 2015, Blacks were no longer overrepresented among Kentucky's uninsured, with a significant decline in the ratio of Blacks among the state uninsured population compared with their share of the state population (1.16-0.91; P = .045). CONCLUSIONS: In Kentucky, which mounted a robust implementation of the ACA-including Medicaid expansion, a state-based marketplace, and an extensive outreach and enrollment campaign-the state experienced not only a decline in the overall uninsurance rate but also an elimination in coverage disparities among Blacks, who historically were overrepresented among the uninsured.

Data Resources for Conducting Health Services and Policy Research.

Rich federal data resources provide essential data inputs for monitoring the health and health care of the US population and are essential for conducting health services policy research. The six household surveys we document in this article cover a broad array of health topics, including health insurance coverage (American Community Survey, Current Population Survey), health conditions and behaviors (National Health Interview Survey, Behavioral Risk Factor Surveillance System), health care utilization and spending (Medical Expenditure Panel Survey), and longitudinal data on public program participation (SIPP). New federal activities are linking federal surveys with administrative data to reduce duplication and response burden. In the private sector, vendors are aggregating data from medical records and claims to enhance our understanding of treatment, quality, and outcomes of medical care. Federal agencies must continue to innovate to meet the continuous challenges of scarce resources, pressures for more granular data, and new multimode data collection methodologies.

Paid Maternity Leave in the United States: Associations with Maternal and Infant Health.

Objectives The United States is one of only three countries worldwide with no national policy guaranteeing paid leave to employed women who give birth. While maternity leave has been linked to improved maternal and child outcomes in international contexts, up-to-date research evidence in the U.S. context is needed to inform current policy debates on paid family leave. Methods Using data from Listening to Mothers III, a national survey of women ages 18-45 who gave birth in 2011-2012, we conducted multivariate logistic regression to predict the likelihood of outcomes related to infant health, maternal physical and mental health, and maternal health behaviors by the use and duration of paid maternity leave. Results Use of paid and unpaid leave varied significantly by race/ethnicity and household income. Women who took paid maternity leave experienced a 47% decrease in the odds of re-hospitalizing their infants (95% CI 0.3, 1.0) and a 51% decrease in the odds of being re-hospitalized themselves (95% CI 0.3, 0.9) at 21 months postpartum, compared to women taking unpaid or no leave. They also had 1.8 times the odds of doing well with exercise (95% CI 1.1, 3.0) and stress management (95% CI 1.1, 2.8), compared to women taking only unpaid leave. Conclusions for Practice Paid maternity leave significantly predicts lower odds of maternal and infant re-hospitalization and higher odds of doing well with exercise and stress management. Policies aimed at expanding access to paid maternity and family leave may contribute toward reducing socio-demographic disparities in paid leave use and its associated health benefits.

Minnesota Integrated Health Partnership Demonstration: Implementation of a Medicaid ACO Model.

In recent years, accountable care organizations (ACOs) have become more prevalent in the United States. This study describes the origins, implementation, and early results of Minnesota's Medicaid ACO payment model, the Integrated Health Partnership (IHP) demonstration project. We describe the structure of the program and present preliminary evaluation results to document the state's important work and to provide lessons for other states interested in implementing Medicaid ACOs. The IHP program has expanded in size over time, the state has reported significant savings, and evidence exists of capacity building among participating providers. We identify factors that may have contributed to the program's early success, but more work is needed to investigate the specific drivers of quality improvement and savings within Minnesota's ACO program and to compare the design and effects of the IHP with other Medicaid and Medicare ACO programs. We conclude with comments about the future of the state's Medicaid ACO program and situate Minnesota's findings within the context of the broader ACO movement.

Community Characteristics and Qualified Health Plan Selection during the First Open Enrollment Period.

OBJECTIVE: To examine state and community factors that contributed to geographic variation in qualified health plan selection during the first open enrollment period. DATA SOURCES/STUDY SETTING: Administrative data on qualified health plan selections at the ZIP code area merged with survey estimates from the American Community Survey. STUDY DESIGN: Descriptive and regression analyses. DATA COLLECTION/EXTRACTION METHODS: Data were generated by healthcare.gov and from a household survey. PRINCIPAL FINDINGS: Thirty-one percent of the variation in qualified health plan selection ratios resulted from between-state differences, and the rest was driven by local area differences. Education, language, age, gender, and the ethnic composition of communities contributed to disparate levels of plan selection. Medicaid expansion states had a qualified health plan selection ratio that was 4.4 points lower than non-Medicaid expansion states, controlling for covariates. CONCLUSIONS: Our results suggest community-level differences in the intensity or receptiveness to outreach and enrollment activities during the first open enrollment period.

Changes to the Design of the National Health Interview Survey to Support Enhanced Monitoring of Health Reform Impacts at the State Level.

Pursuant to passage of the Patient Protection and Affordable Care Act, the National Center for Health Statistics has enhanced the content of the National Health Interview Survey (NHIS)-the primary source of information for monitoring health and health care use of the US population at the national level-in several key areas and has positioned the NHIS as a source of population health information at the national and state levels. We review recent changes to the NHIS that support enhanced health reform monitoring, including new questions and response categories, sampling design changes to improve state-level analysis, and enhanced dissemination activities. We discuss the importance of the NHIS, the continued need for state-level analysis, and suggestions for future consideration.

Workplace Accommodations for Pregnant Employees: Associations With Women's Access to Health Insurance Coverage After Childbirth.

OBJECTIVE: This study evaluates the associations between workplace accommodations for pregnancy, including paid and unpaid maternity leave, and changes in women's health insurance coverage postpartum. METHODS: Secondary analysis using Listening to Mothers III, a national survey of women ages 18 to 45 years who gave birth in U.S. hospitals during 2011 to 2012 (N = 700). RESULTS: Compared with women without access to paid maternity leave, women with access to paid leave were 0.4 times as likely to lose private health insurance coverage, 0.3 times as likely to lose public health coverage, and 0.3 times as likely to become uninsured after giving birth. CONCLUSION: Workplace accommodations for pregnant employees are associated with health insurance coverage via work continuity postpartum. Expanding protections for employees during pregnancy and after childbirth may help reduce employee turnover, loss of health insurance coverage, and discontinuity of care.

Accountable care for the poor and underserved: Minnesota's Hennepin Health model.

Hennepin Health provides integrated medical and social services to low-income Medicaid patients in a large county located in Minneapolis, Minnesota. Data sharing is critical to program operations along with care coordination provided by community health workers. Early evidence indicates fewer emergency department visits and increased use of outpatient primary care. By focusing on prevention, coordination, and team-based care, the county hopes to improve individuals' quality of life while reducing costs through better care management and reductions in emergency department use.