Addressing Adverse Childhood Experiences Through the Affordable Care Act: Promising Advances and Missed Opportunities.

Adverse childhood experiences (ACEs) occur when children are exposed to trauma and/or toxic stress and may have a lifelong effect. Studies have shown that ACEs are linked with poor adult health outcomes and could eventually raise already high health care costs. National policy interest in ACEs has recently increased, as many key players are engaged in community-, state-, and hospital-based efforts to reduce factors that contribute to childhood trauma and/or toxic stress in children. The Affordable Care Act (ACA) has provided a promising foundation for advancing the prevention, diagnosis, and management of ACEs and their consequences. Although the ACA's future is unclear and it does not adequately address the needs of the pediatric population, many of the changes it spurred will continue regardless of legislative action (or inaction), and it therefore remains an important component of our health care system and national strategy to reduce ACEs. We review ways in which some of the current health care policy initiatives launched as part of the implementation of the ACA could accelerate progress in addressing ACEs by fully engaging and aligning various health care stakeholders while recognizing limitations in the law that may cause challenges in our attempts to improve child health and well-being. Specifically, we discuss coverage expansion, investments in the health workforce, a family-centered care approach, increased access to care, emphasis on preventive services, new population models, and improved provider payment models.

Road to the Future: Priorities for Child Health Services Research.

BACKGROUND: Prior health services research (HSR) agendas for children have been published, but major ones are now over 15 years old and do not reflect augmented understanding of the drivers and determinants of children's health; recent changes in the organization, financing, and delivery of health care; a growing emphasis on population health; and major demographic shifts in the population. A policy-relevant research agenda that integrates knowledge gained over the past 2 decades is essential to guide future child HSR (CHSR). We sought to develop and disseminate a robust, domestically focused, policy-oriented CHSR agenda. METHODS: The new CHSR agenda was developed through a series of consultations with leaders in CHSR and related fields. After each round of consultation, the authors synthesized the previous experts' guidance to help inform subsequent discussions. The multistep process in generation of the agenda included identification of major policy-relevant research domains and specification of high-value research questions for each domain. Stakeholders represented in the discussions included those with expertise in child and family advocacy, adult health, population health, community development, racial and ethnic disparities, women's health, health economics, and government research funders and programs. RESULTS: In total, 180 individuals were consulted in developing the research agenda. Six priority domains were identified for future research, including both enduring and emerging emphases: 1) framing children's health issues so that they are compelling to policy-makers; 2) addressing poverty and other social determinants of child health and wellbeing; 3) promoting equity in population health and health care; 4) preventing, diagnosing, and treating high priority health conditions in children; 5) strengthening performance of the health care system; and 6) enhancing the CHSR enterprise. Within these 6 domains, 40 specific topics were identified as the most pertinent for future research. Three overarching and crosscutting themes that affect research across the domains were also noted: the need for syntheses to build on the current, and sometimes extensive, evidence base to avoid duplication; the interrelated nature of the domains, which could lead to synergies in research; and the need for multidisciplinary collaborations in conducting research because research studies will look beyond the health sector. CONCLUSIONS: The priorities presented in the agenda are policy-oriented and include a greater emphasis on how findings are framed and communicated to support action. We expect that the agenda will be useful for immediate uptake by investigators and research funders.

Measuring Unmet Needs for Anticipatory Guidance Among Adolescents at School-Based Health Centers.

PURPOSE: Our previously validated Youth Engagement with Health Services survey measures adolescent health care quality. The survey response format allows adolescents to indicate whether their needs for anticipatory guidance were met. Here, we describe the unmet needs for anticipatory guidance reported by adolescents and identify adolescent characteristics related to unmet needs for guidance. METHODS: We administered the survey in 2013-2014 to 540 adolescents who used school-based health centers in Colorado and New Mexico. A participant was considered to have unmet needs for anticipatory guidance if they indicated that guidance was needed on a given topic but not received or guidance was received that did not meet their needs. We calculated proportions of students with unmet needs for guidance and examined associations between unmet needs for guidance and participant characteristics using the chi-square test and logistic regression. RESULTS: Among participants, 47.4% reported at least one unmet need for guidance from a health care provider in the past year. Topics with the highest proportions of adolescents reporting unmet needs included healthy diet (19.5%), stress (18.0%), and body image (17.0%). In logistic regression modeling, adolescents at risk for depression and those with minority or immigrant status had increased unmet needs for guidance. Adolescents reporting receipt of patient-centered care were less likely to report unmet needs for guidance. CONCLUSIONS: The Youth Engagement with Health Services survey provides needs-based measurement of anticipatory guidance received that may support targeted improvements in the delivery of adolescent preventive counseling. Interventions to improve patient-centered care and preventive counseling for vulnerable youth populations may be warranted.

A Statewide Profile of Frequent Users of School-Based Health Centers: Implications for Adolescent Health Care.

BACKGROUND: The purpose of this study is to describe patterns of care and service use among adolescent school-based health center (SBHC) users in New Mexico and contrast patterns and services between frequent and infrequent users. METHODS: Medical claims/encounter data were analyzed from 59 SBHCs located in secondary schools in New Mexico during the 2011-2012 school year. We used Pearson's chi-square test to examine the differences between frequent (≥ 4 visits/year) and infrequent users in their patterns of SBHC care, and we conducted logistic regression to examine whether frequent use of the SBHC predicted receipt of behavioral, reproductive, and sexual health; checkup; or acute care services. RESULTS: Most of the 26,379 adolescent SBHC visits in New Mexico were for behavioral health (42.4%) and reproductive and sexual health (22.9%). Frequent users have greater odds of receiving a behavioral, reproductive, and sexual health; and acute care visit than infrequent users (p < .001). American Indians, in particular, have higher odds of receiving behavioral health and checkup visits, compared with other races/ethnicities (p < .001). CONCLUSIONS: SBHCs deliver core health care services to adolescents, including behavioral, reproductive, and checkup services, to high need populations. American-Indian youth, more than their peers, use SBHCs for behavioral health and checkups.

Trends in complicated newborn hospital stays & costs, 2002-2009: implications for the future.

BACKGROUND: With the steady growth in Medicaid enrollment since the recent recession, concerns have been raised about care for newborns with complications. This paper uses all-payer administrative data from the Healthcare Cost and Utilization Project (HCUP) Nationwide Inpatient Sample (NIS), to examine trends from 2002 through 2009 in complicated newborn hospital stays, and explores the relationship between expected sources of payment and reasons for hospitalizations. METHODS: Trends in complicated newborn stays, expected sources of payment, costs, and length of stay were examined. A logistic regression was conducted to explore likely payer source for the most prevalent diagnoses in 2009. RESULTS: Complicated births and hospital discharges within 30 days of birth remained relatively constant between 2002 and 2009, but average costs per discharge increased substantially (p<.001 for trend). Most strikingly, over time, the proportion of complicated births billed to Medicaid increased, while the proportion paid by private payers decreased. Among complicated births, the most prevalent diagnoses were preterm birth/low birth weight (23%), respiratory distress (18%), and jaundice (10%). The top two diagnoses (41% of newborns) accounted for 61% of the aggregate cost. For infants with complications, those with Medicaid were more likely to be complicated due to preterm birth/low birth weight and respiratory distress, while those with private insurance were more likely to be complicated due to jaundice. CONCLUSIONS: State Medicaid programs are paying for an increasing proportion of births and costly complicated births. Policies to prevent common birth complications have the potential to reduce costs for public programs and improve birth outcomes.

Early elective deliveries accounted for nearly 9 percent of births paid for by Medicaid.

Reducing early elective deliveries has become a priority for Medicaid medical directors and their state partners. Such deliveries lead to poor health outcomes for newborns and their mothers and generate additional costs for patients, providers, and Medicaid, which pays for up to 48 percent of all births in the United States each year. Early elective deliveries are non-medically indicated labor inductions or cesarean deliveries of infants with a confirmed gestational age of less than thirty-nine weeks. This retrospective descriptive study reports the results of a perinatal project, led by the state Medicaid medical directors, that sought to coordinate quality improvement efforts related to early elective deliveries for the Medicaid population. Twenty-two states participated in the project and provided data on elective deliveries in the period 2010-12. We found that 75,131 (8.9 percent) of 839,688 Medicaid singleton births were early elective deliveries. Thus, we estimate that there are 160,000 early elective Medicaid deliveries nationwide each year. In twelve states, early-term elective deliveries declined 32 percent between 2007 and 2011. Our study offers additional evidence and new tools for policy makers pursuing strategies to further reduce the number of such deliveries.

Medicaid admissions and readmissions: understanding the prevalence, payment, and most common diagnoses.

Reducing hospital readmissions is a way to improve care and reduce avoidable costs. However, there have been few studies of readmissions in the Medicaid population. We sought to characterize acute care hospital admissions and thirty-day readmissions in the Medicaid population through a retrospective analysis in nineteen states. We found that Medicaid readmissions were both prevalent (9.4 percent of all admissions) and costly ($77 million per state) and that they represented 12.5 percent of Medicaid payments for all hospitalizations. Five diagnostic groups appeared to drive Medicaid readmissions, accounting for 57 percent of readmissions and 49 percent of hospital payments for readmissions. The most prevalent diagnostic categories were mental and behavioral disorders and diagnoses related to pregnancy, childbirth, and their complications, which together accounted for 31.2 percent of readmissions. This analysis, conducted through the Medicaid Medical Directors Learning Network, allows Medicaid medical directors to better understand the nature and prevalence of hospital use in the Medicaid population and provides a baseline for measuring improvement.

Cincinnati Beacon Community Program highlights challenges and opportunities on the path to care transformation.

The Cincinnati, Ohio, metropolitan area was one of seventeen US communities to participate in the federal Beacon Community Cooperative Agreement Program to demonstrate how health information technology (IT) could be used to improve health care. Given $13.7 million to spend in thirty-one months, the Cincinnati project involved hundreds of physicians, eighty-seven primary care practices, eighteen major hospital partners, and seven federally qualified health centers and community health centers. The thrust of the program was to build a shared health IT infrastructure to support quality improvement through data exchange, registries, and alerts that notified primary care practices when a patient visited an emergency department or was admitted to a hospital. A special focus of this program was on applying these tools to adult patients with diabetes and pediatric patients with asthma. Despite some setbacks and delays, the basic technology infrastructure was built, the alert system was implemented, nineteen practices focusing on diabetes improvement were recognized as patient-centered medical homes, and many participants agreed that the program had helped transform care. However, the experience also demonstrated that the ability to transfer data was limited in electronic health record systems; that considerable effort was required to adapt technology to support quality improvement; and that the ambitious agenda required more time for planning, training, and implementation than originally thought.

Measuring youth health engagement: development of the youth engagement with health services survey.

PURPOSE: The purpose of this study was to create and validate a survey instrument designed to measure Youth Engagement with Health Services (YEHS!). METHODS: A 61-item YEHS! survey was created through a multistaged process, which included literature review, subject matter expert opinion, review of existing validated measures, and cognitive interviewing with 41 adolescents in Colorado and New Mexico. The YEHS! was then pilot tested with a diverse group of high school students (n = 354) accessing health services at one of eight school-based health centers in Colorado and New Mexico. We conducted psychometric analyses and examined correlations between the youth health engagement scales and measures of quality of care. RESULTS: We created scales to measure two domains of youth health engagement: health access literacy and health self-efficacy. The youth health engagement scales demonstrated strong reliability (Cronbach's α .76 and .82) and construct validity (mean factor loading .71 and .76). Youth health engagement scores predicted higher experiences of care scores (p < .001) and receipt of more anticipatory guidance (p < .01). CONCLUSIONS: This study supports the YEHS! as a valid and reliable measure of youth health engagement among adolescents using school-based health centers. We demonstrate an association between youth health engagement and two quality of care measures. Additional testing is needed to ensure the reliability and validity of the instrument in diverse adolescent populations.

A case study of pediatric asthma alerts from the beacon community program in cincinnati: technology is just the first step.

INTRODUCTION: The Beacon Community in Cincinnati, Ohio was an innovative, community-wide initiative to use technology to transform care. One important feature was the development of regional alerts to notify practices when patients were hospitalized or seen in the emergency department. The purpose of this paper is to describe the way in which technology engages the improvement process, and to describe the early stages of learning how to use technology to enhance quality improvement. METHODS: We interviewed key Beacon leaders as well as providers and office staff in selected practices. We also collected preliminary data from practices that reflected handling of alerts, including the number of asthma related alerts received and followed up. RESULTS: Regional alerts, supplied by the community-wide health information exchange, were a significant addition to the quality improvement effort in that they enabled practices to identify and follow up with additional children at risk. An important finding was the substantial effort at the practice level to integrate technology into ongoing patient care. CONCLUSIONS: Developing the technology for community wide alerts represented a significant endeavor in the Cincinnati Beacon Community. However, the technology was just the first step. Despite extra effort and time required on the part of individual practices, they reported that the value of having alerts was high. Hospital and ED visits represent some of the most costly aspects of care, and an efficient process for intervening with children using these costly services was seen as of significant value.

Medicaid medical directors quality improvement studies: a case study of evolving methods for a research network.

OBJECTIVE: To describe the evolution of methods and share lessons learned from conducting multi-state studies with Medicaid Medical Directors (MMD) using state administrative data. There was a great need for these studies, but also much to be learned about conducting network-based research and ensuring comparability of results. METHODS: This was a network-level case study. The findings were drawn from the experience developing and executing network analyses with the MMDs, as well as from participant feedback on lessons learned. For the latter, nine interviews with MMD project leads, state data analysts, and outside researchers involved with the projects were conducted. Interviews were transcribed, coded and analyzed using NVivo 10.0 analytic software. FINDINGS: MMD study methodology involved many steps: developing research questions, defining data specifications, organizing an aggregated data collection spreadsheet form, assuring quality through review, and analyzing and reporting state data at the national level. State analysts extracted the data from their state Medicaid administrative (claims) databases (and sometimes other datasets). Analysis at the national level aggregated state data overall, by demographics and other sub groups, and displayed descriptive statistics and cross-tabs. CONCLUSIONS: Projects in the MMD multi-state network address high-priority clinical issues in Medicaid and impact quality of care through sharing of data and policies among states. Further, these studies contribute not only to high-quality, cost-effective health care for Medicaid beneficiaries, but also add to our knowledge of network-based research. Continuation of these studies requires funding for a permanent research infrastructure nationally, as well as at the state-level to strengthen capacity.

Importance of the medicaid medical directors' multistate collaborative for improving care in medicaid.

INTRODUCTION: There are many benefits of multistate collaboratives or networks to states, but at the center is that they allow for the opportunity to learn from other states and experts about the practices and policies states have implemented without the significant time lag of published research. This commentary examines these benefits and illustrates the importance of quality improvement collaborations to decision-making in state Medicaid programs. BACKGROUND: In 2007, the Medicaid Medical Directors Learning Network (MMDLN) began conducting quality improvement studies using their own state-level administrative data to better understand the major clinical issues facing the Medicaid populations and to work together on policies to improve outcomes. RATIONALE AND RESULTS: The three issues selected by MMDs for quality improvement monitoring to date involved an important national problem - including both morbidity and cost - and were amenable to policy solutions. The studies examined the use of antipsychotic medication in children, hospital admissions and readmissions, and early elective deliveries (i.e., elective deliveries occurring before 39 weeks). IMPORTANCE AND UTILITY: The multistate clinical quality projects conducted offer a key mechanism for achieving the goal of helping the Medicaid program deliver value-driven, high-quality, cost-effective health care in an efficient manner. These projects also provide the participating states with data to inform policies internally. CONCLUSIONS: In order for the quality of health care to improve, the system needs to be structured as a learning health care system; one that is always accessing evidence, implementing a variation of it (i.e., with new data sources or tools such as electronic clinical data), assessing effectiveness, and sharing results for others to repeat the cycle.