Gerry Fairbrother

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 (9.4xa0percent of all admissions) and costly (

Cincinnati Beacon Community Program Highlights Challenges And Opportunities On The Path To Care Transformation

77xa0million per state) and that they represented 12.5xa0percent of Medicaid payments for all hospitalizations. Five diagnostic groups appeared to drive Medicaid readmissions, accounting for 57xa0percent of readmissions and 49xa0percent 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 31.2xa0percent 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.

Early Elective Deliveries Accounted For Nearly 9 Percent Of Births Paid For By Medicaid

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

Medicaid, hospital financial stress, and the incidence of adverse medical events for children.

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.

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

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.

A Case Study of Pediatric Asthma Alerts from the Beacon Community Program in Cincinnati: Technology is Just the First Step

OBJECTIVEnTo assess the association between Medicaid-induced financial stress of a hospital and the probability of an adverse medical event for a pediatric discharge.nnnDATA SOURCESnSecondary data from the Nationwide Inpatient Sample, Agency for Healthcare Research and Qualitys Healthcare Cost and Utilization Project, and the American Hospital Associations Annual Survey of Hospitals. Study examines 985,896 pediatric discharges (children age 0-17), from 1,050 community hospitals in 26 states (representing 63 percent of the U.S. Medicaid population) between 2005 and 2007.nnnSTUDY DESIGNnWe estimate the probability of an adverse event, controlling for patient, hospital, and state characteristics, using an aggregated, composite measure to overcome rarity of individual events.nnnPRINCIPAL FINDINGSnChildren in hospitals with relatively high proportions of pediatric discharges that are more reliant on Medicaid reimbursement are more likely than children in other hospitals (odds ratio = 1.62) to experience an adverse event. Medicaid pediatric inpatients are more likely than privately insured patients (odds ratio = 1.10) to experience an adverse event.nnnCONCLUSIONSnHospital reliance on comparatively low Medicaid reimbursement may contribute to the problem of adverse medical events for hospitalized children. Policies to reduce adverse events should account for differences in underlying, contributing factors of these events.

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

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 ACAs 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.

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

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.

The Role of the Peer Reviewer

PURPOSEnOur 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.nnnMETHODSnWe 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.nnnRESULTSnAmong 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.nnnCONCLUSIONSnThe 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.

Road to the Future: Priorities for Child Health Services Research

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.