Medicaid and CHIP Child Health Beneficiary Incentives: Program Landscape and Stakeholder Insights.

OBJECTIVES: To describe the landscape of Medicaid and the Children's Health Insurance Program beneficiary incentive programs for child health and garner key stakeholder insights on incentive program rationale, child and family engagement, and program evaluation. METHODS: We identified beneficiary health incentive programs from 2005 to 2018 through a search of peer-reviewed and publicly available documents and through semistructured interviews with 80 key stakeholders (Medicaid and managed-care leadership, program evaluators, patient advocates, etc). This study highlights insights from 23 of these stakeholders with expertise on programs targeting child health (<18 years old) to understand program rationale, beneficiary engagement, and program evaluation. RESULTS: We identified 82 child health-targeted beneficiary incentive programs in Medicaid and the Children's Health Insurance Program. Programs most commonly incentivized well-child checks (n = 77), preventive screenings (n = 30), and chronic disease management (n = 30). All programs included financial incentives (eg, gift cards, premium incentives); some also offered incentive material prizes (n = 12; eg, car seats). Loss-framed incentives were uncommon (n = 1; eg, lost benefits) and strongly discouraged by stakeholders. Stakeholders suggested family engagement strategies including multigenerational incentives or incentives addressing social determinants of health. Regarding evaluation, stakeholders suggested incentivizing evidence-based preventive services (eg, vaccinations) rather than well-child check attendance, and considering proximal measures of child well-being (eg, school functioning). CONCLUSIONS: As the landscape of beneficiary incentive programs for child health evolves, policy makers have unique opportunities to leverage intergenerational and social approaches for family engagement and to more effectively increase and evaluate programs' impact.

Enhancing Health IT Functionality for Children: The 2015 Children's EHR Format.

Electronic health record (EHR) use throughout the United States has advanced considerably, but functionality to support the optimal care of children has been slower to develop and deploy. A previous team of experts systematically identified gaps in EHR functionality during collaborative work from 2010 to 2013 that produced the Children's EHR Format (Format), funded under the Children's Health Insurance Program Reauthorization Act of 2009, Public Law 111-3. After that, a team of practitioners, software developers, health policy leaders, and other stakeholders examined the Format's exhaustive list of 547 EHR functional requirements in 26 topic areas and found them to be valuable but in need of further refinement and prioritization. Work began in 2014 to develop a shortened high priority list of requirements and provide guidance to improve their use. Through a modified Delphi process that included key document review, selection criteria, multiple rounds of voting, and small group discussion, a multistakeholder work group identified and refined 47 items on the basis of earlier requirements to form the 2015 Children's EHR Format Priority List and developed 16 recommended uses of the Format. The full report of the Format enhancement activities is publicly available. In this article, we aim to promote awareness of these high priority EHR functional requirements for the care of children, sharpen industry focus on adopting these changes, and align all stakeholders in prioritizing specific health information technology functionalities including those essential for well-child preventive care, medication management, immunization tracking, and growth data for specific pediatric subgroups.

Medicaid Expansion For Adults Had Measurable 'Welcome Mat' Effects On Their Children.

Before the implementation of the Affordable Care Act (ACA), most children in low-income families were already eligible for public insurance through Medicaid or the Children's Health Insurance Program. Increased coverage observed for these children since the ACA's implementation suggest that the legislation potentially had important spillover or "welcome mat" effects on the number of eligible children enrolled. This study used data from the 2013-15 American Community Survey to provide the first national-level (analytical) estimates of welcome-mat effects on children's coverage post ACA. We estimated that 710,000 low-income children gained coverage through these effects. The study was also the first to show a link between parents' eligibility for Medicaid and welcome-mat effects for their children under the ACA. Welcome-mat effects were largest among children whose parents gained Medicaid eligibility under the ACA expansion to adults. Public coverage for these children increased by 5.7 percentage points-more than double the 2.7-percentage-point increase observed among children whose parents were ineligible for Medicaid both pre and post ACA. Finally, we estimated that if all states had adopted the Medicaid expansion, an additional 200,000 low-income children would have gained coverage.

The Great Recession of 2007-2009 and Public Insurance Coverage for Children in Alabama: Enrollment and Claims Data from 1999-2011.

OBJECTIVES: This study examined the impact of the Great Recession of 2007-2009 on public health insurance enrollment and expenditures in Alabama. Our analysis was designed to provide a framework for other states to conduct similar analyses to better understand the relationship between macroeconomic conditions and public health insurance costs. METHODS: We analyzed enrollment and claims data from Medicaid and the Children's Health Insurance Program (CHIP) in Alabama from 1999 through 2011. We examined the relationship between county-level unemployment rates and enrollment in Medicaid and CHIP, as well as total county-level expenditures in the two programs. We used linear regressions with county fixed effects to estimate the impact of unemployment changes on enrollment and expenditures after controlling for population and programmatic changes in eligibility and cost sharing. RESULTS: A one-percentage-point increase in a county's unemployment rate was associated with a 4.3% increase in Medicaid enrollment, a 0.9% increase in CHIP enrollment, and an overall increase in public health insurance enrollment of 3.7%. Each percentage-point increase in unemployment was associated with a 6.2% increase in total public health insurance expenditures on children, with Medicaid spending rising by 7.5% and CHIP spending rising by 1.8%. In response to the 6.4 percentage-point increase in the state's unemployment rate during the Great Recession, combined enrollment of children in Alabama's public health insurance programs increased by 24% and total expenditures rose by 40%. CONCLUSION: Recessions have a substantial impact on the number of children enrolled in CHIP and Medicaid, and a disproportionate impact on program spending. Programs should be aware of the likely magnitudes of the effects in their budget planning.

Trends in Type of Health Insurance Coverage for US Children and Their Parents, 1998-2011.

OBJECTIVE: To examine trends in health insurance type among US children and their parents. METHODS: Using the Medical Expenditure Panel Survey (1998-2011), we linked each child (n = 120,521; weighted n ≈ 70 million) with his or her parent or parents and assessed patterns of full-year health insurance type, stratified by income. We examined longitudinal insurance trends using joinpoint regression and further explored these trends with adjusted regression models. RESULTS: When comparing 1998 to 2011, the percentage of low-income families with both child and parent or parents privately insured decreased from 29.2% to 19.1%, with an estimated decline of -0.86 (95% confidence interval, -1.10, -0.63) unadjusted percentage points per year; middle-income families experienced a drop from 74.5% to 66.3%, a yearly unadjusted percentage point decrease of -0.73 (95% confidence interval, -0.98, -0.48). The discordant pattern of publicly insured children with uninsured parents increased from 10.4% to 27.2% among low-income families and from 1.4% to 6.7% among middle-income families. Results from adjusted models were similar to joinpoint regression findings. CONCLUSIONS: During the past decade, low- and middle-income US families experienced a decrease in the percentage of child-parent pairs with private health insurance and pairs without insurance. Concurrently, there was a rise in discordant coverage patterns-mainly publicly insured children with uninsured parents.

If rollbacks go forward, up to 14 million children could become ineligible for public or subsidized coverage by 2019.

In spring 2015 Congress passed legislation to extend funding for the Children's Health Insurance Program (CHIP) through the end of fiscal year 2017. This two-year extension pushes to 2017 the question of whether CHIP funding will end, allowing states to end their separate state CHIP programs. Also, when the Affordable Care Act's maintenance-of-effort requirements expire after 2019, states will be allowed to roll back Medicaid- and CHIP-eligibility thresholds to minimum levels allowed by federal law. This study investigated the potential health insurance options available to low-income children if these events happen. If all states roll back coverage to federal statutory minimums, then, among children in families with incomes up to 400 percent of the federal poverty guidelines, the share ineligible for public coverage or subsidized Marketplace coverage would increase from 22 percent in 2014 (12.5 million children) to 46 percent after 2019 (26.5 million children). While not all states are likely to reduce eligibility to federal statutory minimums, these estimates highlight the fact that many children who do lose public eligibility will not become eligible for subsidized Marketplace coverage.