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.

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.

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.

Strategies for research participant engagement: A synthetic review and conceptual framework.

BACKGROUND: Research participant engagement, which we define as recruitment and retention in clinical trials, is a costly and challenging issue in clinical research. Research teams have leveraged a variety of strategies to increase research participant engagement in clinical trials, although a framework and evidence for effective participant engagement strategies are lacking. We (1) developed a novel conceptual framework for strategies used to recruit and retain participants in clinical trials based on their underlying behavioral principles and (2) categorized empirically tested recruitment and retention strategies in this novel framework. METHODS: We conducted a synthetic analysis of interventions tested in studies from two Cochrane reviews on clinical trial recruitment and retention, which included studies from 1986 to 2015. We developed a conceptual framework of behavioral strategies for increasing research participant engagement using deductive and inductive approaches with the studies included in the Cochrane reviews. Reviewed interventions were then categorized using this framework. We examined the results of reviewed interventions and categorized the effects on clinical trial recruitment and retention as significantly positive, null, or significantly negative; summary statistics are presented for the frequency and effects of each behavioral strategy type. RESULTS: We analyzed 141 unique interventions across 96 studies: 91 interventions targeted clinical trial research participant recruitment and 50 targeted retention. Our framework included 14 behavioral strategies to improve research participant engagement grouped into four general approaches: changing attitudes by appealing to social motivators, changing attitudes by targeting individual psychology, reducing barriers and cognitive burdens, and providing incentives. The majority of interventions (54%) aimed to reduce barriers or cognitive burdens, with improving comprehension (27%) as the most common specific strategy identified. For recruitment, the most common behavioral strategies tested were building legitimacy or trust (38%) and framing risks and benefits (32%), while financial or material incentives (32%) and reducing financial, time, and social barriers (32%) were most common for retention interventions. Among interventions tested in randomized controlled trials, 51% had a null effect on research participant engagement, and 30% had a statistically significant positive effect. DISCUSSION: Clinical researchers have tested a wide range of interventions that leverage distinct behavioral strategies to achieve improved research participant recruitment and retention. Common behavioral strategies include building legitimacy or trust between research teams and participants, as well as improving participant comprehension of trial objectives and procedures. The high frequency of null effects among tested interventions suggests challenges in selecting the optimal interventions for increasing research participant engagement, although the proposed behavioral strategy categories can serve as a conceptual framework for developing and testing future interventions.

Impact of COVID-19-related School Closures on the Drivers of Child Health.

The COVID-19 pandemic resulted in large-scale school closures in an effort to reduce the spread of disease. This article reviews the potential impact of COVID-19-related school closures on the health of children in North Carolina, with particular attention to the impact of school closures on drivers of child health.

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.

Changes in Young Adult Primary Care Under the Affordable Care Act.

OBJECTIVES: We sought to describe changes in young adults' routine care and usual sources of care (USCs), according to provider specialty, after implementation of extended dependent coverage under the Affordable Care Act (ACA) in 2010. METHODS: We used Medical Expenditure Panel Survey data from 2006 to 2012 to examine young adults' receipt of routine care in the preceding year, identification of a USC, and USC provider specialties (pediatrics, family medicine, internal medicine, and obstetrics and gynecology). RESULTS: The percentage of young adults who sought routine care increased from 42.4% in 2006 to 49.5% in 2012 (P < .001). The percentage identifying a USC remained stable at approximately 60%. Among young adults with a USC, there was a trend between 2006 and 2012 toward increasing percentages with pediatric (7.6% vs 9.1%) and family medicine (75.9% vs 80.9%) providers and declining percentages with internal medicine (11.5% vs 7.6%) and obstetrics and gynecology (5.0% vs 2.5%) providers. CONCLUSIONS: Efforts under the ACA to increase health insurance coverage had favorable effects on young adults' use of routine care. Monitoring routine care use and USC choices in this group can inform primary care workforce needs and graduate medical education priorities across specialties.

Twitter sentiment predicts Affordable Care Act marketplace enrollment.

BACKGROUND: Traditional metrics of the impact of the Affordable Care Act (ACA) and health insurance marketplaces in the United States include public opinion polls and marketplace enrollment, which are published with a lag of weeks to months. In this rapidly changing environment, a real-time barometer of public opinion with a mechanism to identify emerging issues would be valuable. OBJECTIVE: We sought to evaluate Twitter's role as a real-time barometer of public sentiment on the ACA and to determine if Twitter sentiment (the positivity or negativity of tweets) could be predictive of state-level marketplace enrollment. METHODS: We retrospectively collected 977,303 ACA-related tweets in March 2014 and then tested a correlation of Twitter sentiment with marketplace enrollment by state. RESULTS: A 0.10 increase in the sentiment score was associated with an 8.7% increase in enrollment at the state level (95% CI 1.32-16.13; P=.02), a correlation that remained significant when adjusting for state Medicaid expansion (P=.02) or use of a state-based marketplace (P=.03). CONCLUSIONS: This correlation indicates Twitter's potential as a real-time monitoring strategy for future marketplace enrollment periods; marketplaces could systematically track Twitter sentiment to more rapidly identify enrollment changes and potentially emerging issues. As a repository of free and accessible consumer-generated opinions, this study reveals a novel role for Twitter in the health policy landscape.

The 2013 US Government Shutdown (#Shutdown) and health: an emerging role for social media.

In October 2013, multiple United States (US) federal health departments and agencies posted on Twitter, "We're sorry, but we will not be tweeting or responding to @replies during the shutdown. We'll be back as soon as possible!" These "last tweets" and the millions of responses they generated revealed social media's role as a forum for sharing and discussing information rapidly. Social media are now among the few dominant communication channels used today. We used social media to characterize the public discourse and sentiment about the shutdown. The 2013 shutdown represented an opportunity to explore the role social media might play in events that could affect health.

American Indian and Alaska Native infant and pediatric mortality, United States, 1999-2009.

OBJECTIVES: We described American Indian/Alaska Native (AI/AN) infant and pediatric death rates and leading causes of death. METHODS: We adjusted National Vital Statistics System mortality data for AI/AN racial misclassification by linkage with Indian Health Service (IHS) registration records. We determined average annual death rates and leading causes of death for 1999 to 2009 for AI/AN versus White infants and children. We limited the analysis to IHS Contract Health Service Delivery Area counties. RESULTS: The AI/AN infant death rate was 914 (rate ratio [RR] = 1.61; 95% confidence interval [CI] = 1.55, 1.67). Sudden infant death syndrome, unintentional injuries, and influenza or pneumonia were more common in AI/AN versus White infants. The overall AI/AN pediatric death rates were 69.6 for ages 1 to 4 years (RR = 2.56; 95% CI = 2.38, 2.75), 28.9 for ages 5 to 9 years (RR = 2.12; 95% CI = 1.92, 2.34), 37.3 for ages 10 to 14 years (RR = 2.22; 95% CI = 2.04, 2.40), and 158.4 for ages 15 to 19 years (RR = 2.71; 95% CI = 2.60, 2.82). Unintentional injuries and suicide occurred at higher rates among AI/AN youths versus White youths. CONCLUSIONS: Death rates for AI/AN infants and children were higher than for Whites, with regional disparities. Several leading causes of death in the AI/AN pediatric population are potentially preventable.

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.

The impact of prior deployment experience on civilian employment after military service.

OBJECTIVE: To determine if deployment to recent military operations or other health, demographic, or military-related characteristics were associated with employment after military service. METHODS: Former US active duty military service members participating in the Millennium Cohort Study, a population-based sample of US military personnel that began in July of 2001, were prospectively followed from the time of baseline health reporting to self-reported employment status after military separation. RESULTS: Of the 9099 separated personnel meeting inclusion criteria, 17% reported unemployment after military service. In multivariable modelling, prior deployment experiences, with or without reported combat, and post-traumatic stress disorder (PTSD) were not significantly associated with employment status postservice. Among those who routinely retired from service with a pension, positive screens for depression (OR, 1.67; 95% CI, 1.05 to 2.63) and panic/anxiety (OR, 1.63; 95% CI, 1.10 to 2.43) were significantly associated with subsequent unemployment. Poor physical health, female sex, black race, lower education and disabling illnesses/injuries were also predictive of postservice unemployment. CONCLUSIONS: After stratifying for reason for military separation, mental disorders like depression or panic/anxiety and poor physical health may have greater impact than prior deployment experiences or PTSD on the ability to find or maintain employment postservice. These findings may guide support for veterans most in need of job placement services after military service.

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.

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.

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.