Caregiver Perspectives on Barriers and Facilitators to Timely Well-Child Visits for Black Infants.

OBJECTIVES: Missed infant well-child visits (WCV) result in lost opportunities for critical preventive care. Black infants consistently receive less WCV care than other racial groups. We sought to understand barriers and facilitators to timely infant WCV for Black families in the context of COVID-19. METHODS: We conducted 21 semi-structured interviews with caregivers of Medicaid-insured Black children aged 15- to 24-months who attended six or fewer of eight recommended well-child visits within the first 15 months of life. Interviews focused on WCV value, barriers, and facilitators. After developing our initial coding structure through rapid qualitative analysis, we inductively derived the final codebook and themes through line-by-line content analysis. RESULTS: Caregivers attended a mean of 3.53 of eight infant visits. Structural (e.g., transportation) and psychological (e.g., maternal depression) barriers delayed Black infant WCV. Families most frequently valued monitoring development and addressing concerns. Caregivers perceived visits as less urgent when infants seemed healthy or more recently avoided visits due to fears around COVID-19. Long waits and feeling rushed/dismissed were linked to WCV delays; positive provider relationships encouraged WCV attendance. Most caregivers reported reluctance to vaccinate. Vaccine hesitancy contributed to delayed infant WCV. CONCLUSIONS: Caregivers described several factors that impacted WCV attendance for Black infants. Persistent structural and psychological barriers are compounded by perceptions that caregiver time is not respected and by notable vaccine hesitancy. To address these barriers, well-care can meet Black families in their communities, better address caregiver wellbeing, more efficiently use caregiver and provider time, and cultivate partnerships with Black caregivers.

Investing in Child Health Through Alternative Payment Models: Lessons From North Carolina Integrated Care for Kids.

Pediatric value-based payment reform has been hindered by limited return on investment (ROI) for child-focused measures and the accrual of financial benefits to non-health care sectors. States participating in the federally-funded Integrated Care for Kids (InCK) models are required to design child-centered alternative payment models (APMs) for Medicaid-enrolled children. The North Carolina InCK pediatric APM launched in January 2023 and includes innovative measures focused on school readiness and social needs. We interviewed experts at NC Medicaid managed care organizations, NC Medicaid, and actuaries with pediatric value-based payment experience to assess the NC InCK APM design process and develop strategies for future child-focused value-based payment reform. Key principles emerging from conversations included: accounting for payer priorities and readiness to implement measures; impact of data uncertainty on investment in novel measures; misalignment of a short-term ROI framework with whole child health measures; and state levers like mandates and financial incentives to promote implementation.

Analysis of North Carolina Medicaid Claims Data to Simulate a Pediatric Accountable Care Organization.

Importance: Despite momentum for pediatric value-based payment models, little is known about tailoring design elements to account for the unique needs and utilization patterns of children and young adults. Objective: To simulate attribution to a hypothetical pediatric accountable care organization (ACO) and describe baseline demographic characteristics, expenditures, and utilization patterns over the subsequent year. Design, Setting, and Participants: This retrospective cohort study used Medicaid claims data for children and young adults aged 1 to 20 years enrolled in North Carolina Medicaid at any time during 2017. Children and young adults receiving at least 50% of their primary care at a large academic medical center (AMC) in 2017 were attributed to the ACO. Data were analyzed from April 2020 to March 2021. Main Outcomes and Measures: Primary outcomes were total cost of care and care utilization during the 2018 performance year. Results: Among 930 266 children and young adults (377 233 children [40.6%] aged 6-12 years; 470 612 [50.6%] female) enrolled in Medicare in North Carolina in 2017, 27 290 children and young adults were attributed to the ACO. A total of 12 306 Black non-Hispanic children and young adults (45.1%), 6308 Hispanic or Latinx children and young adults (23.1%), and 6531 White non-Hispanic children and young adults (23.9%) were included. Most attributed individuals (23 133 individuals [84.7%]) had at least 1 claim in the performance year. The median (IQR) total cost of care in 2018 was $347 ($107-$1123); 272 individuals (1.0%) accounted for nearly half of total costs. Compared with children and young adults in the lowest-cost quartile, those in the highest-cost quartile were more likely to have complex medical conditions (399 individuals [6.9%] vs 3442 individuals [59.5%]) and to live farther from the AMC (median [IQR distance, 6.0 [4.6-20.3] miles vs 13.9 [4.6-30.9] miles). Total cost of care was accrued in home (43%), outpatient specialty (19%), inpatient (14%) and primary (8%) care. More than half of attributed children and young adults received care outside of the ACO; the median (IQR) cost for leaked care was $349 ($130-$1326). The costliest leaked encounters included inpatient, ancillary, and home health care, while the most frequently leaked encounters included behavioral health, emergency, and primary care. Conclusions and Relevance: This cohort study found that while most children attributed to the hypothetical Medicaid pediatric ACO lived locally with few health care encounters, a small group of children with medical complexity traveled long distances for care and used frequent and costly home-based and outpatient specialty care. Leaked care was substantial for all attributed children, with the cost of leaked care being higher than the total cost of care. These pediatric-specific clinical and utilization profiles have implications for future pediatric ACO design choices related to attribution, accounting for children with high costs, and strategies to address leaked care.

Food Insecurity Was Associated With Greater Family Health Care Expenditures In The US, 2016-17.

Food insecurity has been associated with the health care expenditures of individuals, but it can affect the entire family. Evaluating the relationship between food insecurity and family expenditures provides a better understanding of the financial implications of food insecurity interventions. Our primary objective was to evaluate the association between food insecurity in one year (2016) and family health care expenditures-for all members, for children only, and for adults only-in the next year (2017). We also evaluated whether this association varied across types of insurance coverage within families: all private, all public, or mixed (including uninsured). Using nationally representative data, we found that food-insecure families had 20 percent greater total health care expenditures than food-secure families, for an annual difference of $2,456. Food insecurity was associated with greater expenditures across all family insurance patterns, including the 19.1 percent of families with mixed coverage. Our findings suggest that in families with mixed coverage, positive impacts of food insecurity interventions on health care use may accrue to family members other than the targeted beneficiaries and those who have different insurance, benefiting the entire family but potentially discouraging investments on the part of any one payer.

Adolescent and Young Adult Perspectives on Quality and Value in Health Care.

OBJECTIVE: To describe adolescent and young adult (AYA) perspectives on defining quality and value in health care and to gain understanding of their knowledge of value-based payment. METHODS: A text message-based survey was sent to a convenience sample of AYAs aged 14 to 24 in 2019. Participants were asked 4 open-ended questions: 1) how they would define "good health care," 2) what factors to consider in rating doctors, 3) whose opinions should matter most when rating doctors, and 4) the best ways to collect AYA opinions on doctors, and one yes/no question on their awareness of value-based payment. Analyses included descriptive demographic statistics and an inductive thematic approach with multivariable models comparing adolescent (14-18) and young adult (19-24) responses. RESULTS: Response rate was 61.0% (782/1283). Most participants were White (63.3%), female (53.3%), and adolescents (55.6%). Common themes from the first 2 questions included accessibility (specifically affordability), coverage benefits, and care experience (including compassion, respect, and clinical competence). Young adults more commonly mentioned affordability than adolescents (54.4% vs 43.3%, P = .001) and more commonly felt their opinion should matter more than their parents when rating doctors (80.6% vs 62.0%, P < .001). Only 21.0% of AYAs were familiar with the potential value-based link between physician payment and care quality. CONCLUSIONS: When considering quality and value in health care, AYAs expressed their desired agency in rating the quality of their care and clinicians. AYAs' perspectives on health care quality, including the importance of care accessibility and affordability, should be considered when designing youth-centered care delivery and value-based payment models.

COVID-19 Reflections: COVID-19 Vaccination in North Carolina: Promoting Equity by Partnering with Communities and Health Care Providers.

North Carolina implemented a rapid statewide COVID-19 vaccine strategy that focused on vaccinating people quickly and equitably. We describe the sociodemographic factors associated with COVID-19 vaccine uptake in North Carolina and how these factors were considered in communication as well as community and health care provider engagement in the COVID-19 response.

Promoting Child Health Equity Through Medicaid Innovation.

Black, Latino/a/e, American Indian, and Alaska Native children often receive lower quality health care than White children. As the predominant health insurer for medically underserved populations, Medicaid plays a critical role in advancing socioeconomic and racial health equity. In this article, we focus on structural barriers to health equity in the Medicaid program and potential steps for improving long-standing socioeconomic and racial health inequities through programmatic innovation. We identify opportunities for expanding care models for holistically addressing the social determinants of health, aligning clinical care delivery around health equity principles, diversifying the clinical workforce, and promoting meaningful and consistent provider participation in Medicaid. Practitioners and policy makers can start to undertake many of these steps today to set the stage for more sweeping reforms that can help achieve national health equity goals for children. [Pediatr Ann. 2022;51(3):e118-e122.].

Association Of Unemployment With Medicaid Enrollment By Social Vulnerability In North Carolina During COVID-19.

The COVID-19 pandemic precipitated an unemployment crisis in the US that surpassed the Great Recession of 2007-09 within the first three months of the pandemic. This article builds on the limited early evidence of the relationship between the pandemic and health insurance coverage, using county-level unemployment and Medicaid enrollment data from North Carolina, a large state that did not expand Medicaid. We used linear and county fixed effects models to assess this relationship, accounting for county-level social vulnerability, physical and virtual access to Medicaid enrollment, and COVID-19 case burden. Using data from January 2018 through August 2020, we estimated that the passthrough rate-the share of unemployed people who gained Medicaid coverage-was approximately 15 percent statewide but higher in more socially vulnerable counties. This low passthrough rate during a period of increased unemployment resulting from the COVID-19 pandemic means that Medicaid was unable to completely fulfill its countercyclical role, in which it grows to meet greater need during periods of widespread economic hardship, because of North Carolina's stringent Medicaid eligibility criteria. Working toward greater adoption of Medicaid expansion may help ensure that the US is better prepared for the next crisis by ensuring access to health insurance coverage.

COVID-19 Vaccine Administration, by Race and Ethnicity - North Carolina, December 14, 2020-April 6, 2021.

COVID-19 has disproportionately affected non-Hispanic Black or African American (Black) and Hispanic persons in the United States (1,2). In North Carolina during January-September 2020, deaths from COVID-19 were 1.6 times higher among Black persons than among non-Hispanic White persons (3), and the rate of COVID-19 cases among Hispanic persons was 2.3 times higher than that among non-Hispanic persons (4). During December 14, 2020-April 6, 2021, the North Carolina Department of Health and Human Services (NCDHHS) monitored the proportion of Black and Hispanic persons* aged ≥16 years who received COVID-19 vaccinations, relative to the population proportions of these groups. On January 14, 2021, NCDHHS implemented a multipronged strategy to prioritize COVID-19 vaccinations among Black and Hispanic persons. This included mapping communities with larger population proportions of persons aged ≥65 years among these groups, increasing vaccine allocations to providers serving these communities, setting expectations that the share of vaccines administered to Black and Hispanic persons matched or exceeded population proportions, and facilitating community partnerships. From December 14, 2020-January 3, 2021 to March 29-April 6, 2021, the proportion of vaccines administered to Black persons increased from 9.2% to 18.7%, and the proportion administered to Hispanic persons increased from 3.9% to 9.9%, approaching the population proportion aged ≥16 years of these groups (22.3% and 8.0%, respectively). Vaccinating communities most affected by COVID-19 is a national priority (5). Public health officials could use U.S. Census tract-level mapping to guide vaccine allocation, promote shared accountability for equitable distribution of COVID-19 vaccines with vaccine providers through data sharing, and facilitate community partnerships to support vaccine access and promote equity in vaccine uptake.

Medicaid Coverage Disruptions Among Children Enrolled in North Carolina Medicaid From 2016 to 2018.

Importance: Brief disruptions in insurance coverage among eligible participants are associated with poorer health outcomes for children. Objective: To describe factors associated with coverage disruptions among children enrolled in North Carolina Medicaid from 2016 to 2018 and estimate the outcome of preventing such disruptions on medical expenditures. Design Setting and Participants: This was a retrospective cohort study using North Carolina Medicaid claims data. All enrolled individuals were aged 1 to 20 years on January 1, 2016, and with 30 days of prior continuous enrollment. Children were observed from January 1, 2016, until December 31, 2018. Analyses were conducted from June 2020 through December 2020. Main Outcomes and Measures: Risk of Medicaid coverage disruptions of 1 to less than 12 months was assessed. Among children who disenrolled from Medicaid for 30 or more days, the risk of reenrollment within 1 to 6 months and 7 to 11 months was assessed. An inverse probability of censoring weights method was then used to estimate the outcome of an intervention to reduce coverage disruptions through preventing disenrollment on per member per month (PMPM) cost. Results: The study population included 831 173 Medicaid beneficiaries aged 1 to 5 years (23%), 6 to 17 years (68%), and 18 to 20 years (9%); 35% were Black, 44% were White, and 14% were Hispanic/Latinx. Among those with a first disenrollment (n = 214 401, 26%), the risk of reenrollment within 6 months and 7 to 11 months was 19% and 7%, respectively. Risk of coverage disruption was higher for Black children (hazard ratio [HR], 1.21; 95% CI, 1.18-1.24), children of other races (Asian, American Indian, Hawaiian or Pacific Islander, multiple races, or unreported; HR, 1.37; 95% CI, 1.33-1.40), and Latinx children (HR, 1.65; 95% CI, 1.60-1.70) compared with White children. Risk of coverage disruption was also higher for children with higher medical complexity (HR, 1.15; 95% CI, 1.12-1.19). The risk of coverage disruption was lower for children living in counties with the highest unemployment rates (HR, 0.89; 95% CI, 0.85-0.94), and comparisons between county-level measures of child poverty and graduation rates showed little or no difference. The estimated PMPM cost for the full population under a scenario in which all medical costs were included was $125.73. Estimated PMPM cost for the full cohort in a counterfactual scenario in which disenrollment was prevented was slightly lower ($122.14). Across all subgroups, estimated PMPM costs were modestly lower ($2-$8) in the scenario in which disenrollment was prevented. Conclusions and Relevance: In this cohort study, the risk of Medicaid coverage disruption was high, with many eligible children in historically marginalized communities continuing to experience unstable enrollment. In addition to improving health outcomes, preventing coverage gaps through policies that decrease disenrollment may also reduce Medicaid costs.

Applying Behavioral Economics to Improve Adolescent and Young Adult Health: A Developmentally-Sensitive Approach.

Each day, adolescents and young adults (AYAs) choose to engage in behaviors that impact their current and future health. Behavioral economics represents an innovative lens through which to explore decision-making among AYAs. Behavioral economics outlines a diverse set of phenomena that influence decision-making and can be leveraged to develop interventions that may support behavior change. Up to this point, behavioral economic interventions have predominantly been studied in adults. This article provides an integrative review of how behavioral economic phenomena can be leveraged to motivate health-related behavior change among AYAs. We contextualize these phenomena in the physical and social environments unique to AYAs and the neurodevelopmental changes they undergo, highlighting opportunities to intervene in AYA-specific contexts. Our review of the literature suggests behavioral economic phenomena leveraging social choice are particularly promising for AYA health. Behavioral economic interventions that take advantage of AYA learning and development have the potential to positively impact youth health and well-being over the lifespan.

Children And The Opioid Epidemic: Age-Stratified Exposures And Harms.

Using North Carolina Medicaid 2016-18 claims data, we found that approximately one in ten adolescents (10.8 percent) filled at least one opioid prescription per year. Dentists, advanced practice providers, and surgeons were common prescribers of opioids to children. In addition, half of children who experienced opioid-related adverse events had filled opioid prescriptions in the prior six months.

Pediatric accountable health communities: Insights on needed capabilities and potential solutions.

BACKGROUND: Pediatric accountable health communities (AHCs) are emerging collaborative models that integrate care across health and social service sectors. We aimed to identify needed capabilities and potential solutions for implementing pediatric AHCs. METHODS: We conducted a directed content analysis of responses to a Request for Information (RFI) from the Center for Medicare & Medicaid Innovation on the Integrated Care for Kids Model (n = 1550 pages from 202 respondents). We then interviewed pediatric health policy stakeholders (n = 18) to further investigate responses from the RFI. All responses were coded using a consensual qualitative research approach in 2019. RESULTS: To facilitate service integration, respondents emphasized the need for cross-sector organizational alignment and data sharing. Recommended solutions included designating "Bridge Organizations" to operationalize service integration across sectors and developing integrated data sharing systems. Respondents called for improved validation and collection methods for data relating to school performance, social drivers of health, family well-being, and patient experience. Recommended solutions included aligning health and education data privacy regulations and utilizing metrics with cross-sector relevance. Respondents identified that mechanisms are needed to blend health and social service funding in alternative payment models (APMs). Recommended solutions included guidance on cross-sector care coordination payments, shared savings arrangements, and capitation to maximize spending flexibility. CONCLUSIONS: Pediatric AHCs could provide more integrated, high-value care for children. Respondents highlighted the need for shared infrastructure and cross-sector alignment of measures and financing. IMPLICATIONS: Insights and solutions from this study can inform policymakers planning or implementing innovative, child-centered AHC models. LEVEL OF EVIDENCE: Level V.

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.

The Roles Of Assisters And Automated Decision Support Tools In Consumers' Marketplace Choices: Room For Improvement.

Assisters provide in-person and phone-based support to help consumers narrow their plan options on the Affordable Care Act's health insurance Marketplaces. We elicited the perspectives of a national sample of thirty-two assisters from ten states on consumer plan selection and available Marketplace decision support tools (for example, total cost estimators and provider network look-up tools). Assisters identified several shortcomings that limited their use of decision support tools, such as nonspecific cost estimates and inaccurate provider network data. Assisters instead provided individualized cost estimates, called provider offices to verify network coverage, and found innovative strategies to help consumers access care affordably under their chosen plan. Two priorities emerged for optimizing consumers' Marketplace insurance selection process: improve the quality of data used in decision support tools and invest in assister programs. Assister strategies should be a benchmark for improving decision support tools, with lessons to be learned for future tool development.

Engaging Beneficiaries In Medicaid Programs That Incentivize Health-Promoting Behaviors.

Medicaid programs are increasingly adopting incentive programs to improve health behaviors among beneficiaries. There is limited evidence on what incentives are being offered to Medicaid beneficiaries, how programs are engaging beneficiaries, and how programs are evaluated. In 2017-18 we synthesized available information on these programs and interviewed eighty policy stakeholders to identify the rationale behind key program design decisions and stakeholders' recommendations for beneficiary engagement and program evaluation. Key underlying program rationales included improving the use of preventive services and promoting personal responsibility. Beneficiary engagement strategies emphasized meeting members where they are and offering prizes or services customized for certain groups. Stakeholders recommended collaborating with external evaluators to design and conduct robust evaluations of incentive programs. Finally, stakeholders recommended aligning beneficiary incentives with provider incentives and other payment reforms through the use of common meaningful measures to streamline program evaluation.

Shopping on the Public and Private Health Insurance Marketplaces: Consumer Decision Aids and Plan Presentation.

BACKGROUND: The design of the Affordable Care Act's (ACA) health insurance marketplaces influences complex health plan choices. OBJECTIVE: To compare the choice environments of the public health insurance exchanges in the fourth (OEP4) versus third (OEP3) open enrollment period and to examine online marketplace run by private companies, including a total cost estimate comparison. DESIGN: In November-December 2016, we examined the public and private online health insurance exchanges. We navigated each site for "real-shopping" (personal information required) and "window-shopping" (no required personal information). PARTICIPANTS: Public (n = 13; 12 state-based marketplaces and HealthCare.gov ) and private (n = 23) online health insurance exchanges. MAIN MEASURES: Features included consumer decision aids (e.g., total cost estimators, provider lookups) and plan display (e.g., order of plans). We examined private health insurance exchanges for notable features (i.e., those not found on public exchanges) and compared the total cost estimates on public versus private exchanges for a standardized consumer. RESULTS: Nearly all studied consumer decision aids saw increased deployment in the public marketplaces in OEP4 compared to OEP3. Over half of the public exchanges (n = 7 of 13) had total cost estimators (versus 5 of 14 in OEP3) in window-shopping and integrated provider lookups (window-shopping: 7; real-shopping: 8). The most common default plan orders were by premium or total cost estimate. Notable features on private health insurance exchanges were unique data presentation (e.g., infographics) and further personalized shopping (e.g., recommended plan flags). Health plan total cost estimates varied substantially between the public and private exchanges (average difference $1526). CONCLUSIONS: The ACA's public health insurance exchanges offered more tools in OEP4 to help consumers select a plan. While private health insurance exchanges presented notable features, the total cost estimates for a standardized consumer varied widely on public versus private exchanges.