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Objective To estimate the association between the implementation of parity in coverage for mental health and substance use disorder (MHSUD) services within the Medicaid program and MHSUD service use. Data sources/study setting Wisconsin Medicaid enrollment and claims data from 2013 to 2015. In April 2014, Wisconsin Medicaid transitioned childless adult beneficiaries from coverage with limited MHSUD services to parity-consistent coverage. Preparity, they only had Medicaid coverage for MHSUD visits to psychiatrists and the emergency department, while parent beneficiaries had parity-consistent coverage. Study design The study uses a difference-in-differences design to compare outcome changes for childless adult and parent beneficiaries. Data collection/extraction methods We identified 76, 569 childless adult and parent beneficiaries aged 18-64 who were continuously enrolled for the 2-year study period. Principal findings Introducing parity-consistent coverage within Medicaid was associated with increased utilization of Medicaid-reimbursed MHSUD services: outpatient, prescription medication, ED, and inpatient. Increased MHSUD outpatient visits were driven by increased visits to nonpsychiatrists. Conclusions Parity's effects on MHSUD service use have been studied in the context of private insurance, but its impact among Medicaid beneficiaries has not. Our findings suggest that parity implementation in Medicaid could increase access to effective MHSUD services in a high-need population.

Objective This study measures the change in health care use after enrollment into a new public insurance program for low-income childless adults. Data Sources/Study Setting The data sources include claims from a large integrated health system in rural Wisconsin and Medicaid enrollment files, January 2007–September 2012. Study Design We employ a regression discontinuity design to measure the causal effect of public insurance enrollment on counts of outpatient, emergency department, and inpatient events for 2 years following enrollment for a sample of previously uninsured low-income adults in rural Wisconsin. Principal Findings Public insurance enrollment led to substantial increases in outpatient visits including preventive visits, but not mental health visits. Public insurance enrollment also led to increases in inpatient stays, but the study is inconclusive on whether it led to an increase in ED visits. Conclusions Public insurance expansions to childless adults have the potential to impact the use of health care. The large increase in Medicaid coverage and reduction in rates of uninsurance anticipated to result from the Affordable Care Act should increase the use of inpatient and outpatient services, but they will have an uncertain impact on the use of ED among rural populations.

This survey study compares the demographic characteristics, access to care, and health status of recent Medicaid enrollees in Wisconsin with and without experience of Medicaid lockouts.

To assess the ability of a short, self-reported health needs assessment (HNA) collected at the time of Medicaid enrollment to predict subsequent utilization and costs.Retrospective cohort study.We analyzed individual-level data that included self-reported HNAs, medical care encounter records, and administrative eligibility records for 34,087 childless adult Medicaid enrollees in Wisconsin, covering the period 2009-2010. High need was operationalized using the following outcome variables measured over the first year of program enrollment: having an inpatient admission; membership in the top decile of emergency department (ED) utilization; and membership in the top cost decile. We assessed the ability of the HNA to predict high-need cases using several complementary methods: the C-statistic; integrated discrimination improvement; and sensitivity, specificity, and positive predictive value resulting from multivariate logistic regression estimates.Using the HNA along with sociodemographic measures met the Hosmer-Lemeshow criterion for adequate predictive performance for the high ED and high cost outcomes (C-statistics of 0.74 and 0.72, respectively). The HNA was associated with large improvements in predictive performance over sociodemographic measures alone for all 3 dependent variables (integrated discrimination improvement of 182%, 413%, and 300% for ED, cost, and inpatient variables, respectively). The HNA also led to considerable improvements in sensitivity and positive predictive value with no resulting decreases in specificity or negative predictive value.Collecting self-reported health measures for a Medicaid expansion population can yield data of sufficient quality for predicting high-need cases.

As states consider expanding Medicaid to low-income childless adults under the Affordable Care Act, their decisions will depend, in part, on how such coverage may affect the use of medical care. In 2009 Wisconsin created a new public insurance program for low-income uninsured childless adults. We analyzed administrative claims data spanning 2008 and 2009 using a case-crossover study design on a population of 9,619 Wisconsin residents with very low incomes who were automatically enrolled in this program in January 2009. In the twelve months following enrollment in public insurance, outpatient visits for the study population increased 29 percent, and emergency department visits increased 46 percent. Inpatient hospitalizations declined 59 percent, and preventable hospitalizations fell 48 percent. These results demonstrate that public insurance coverage expansions to childless adults have the potential to improve health and reduce costs by increasing access to outpatient care and reducing hospitalizations.

We use administrative data from Wisconsin to estimate the percent of individuals newly enrolled in public health coverage that had access to private, employer-sponsored health insurance at the time of their enrollment and the percent that was uninsured. We also estimate the percent of new enrollees that dropped private coverage in the six months prior to or following enrollment. We estimate that, among all new enrollees and after expansion of eligibility for public coverage, approximately 21% had access to private health insurance at the time of enrollment and that only 10% dropped this coverage. We also estimate strict bounds for these percentages and find that the percentage of new enrollees with private insurance coverage at the time of enrollment lies between 16% and 29% and the percentage that dropped private coverage in favor of public insurance lies between 4% and 18%. These estimates of crowd-out are relatively low compared with estimates from the literature based on Medicaid and Children’s Health Insurance Program expansions, although based both on different data and on a different method. In order to facilitate comparison of our method with previous studies, we develop a conceptual method for understanding the various types of crowd-out measures.

We use a combination of administrative and survey data to estimate the fraction of individuals newly enrolled in public health coverage (Wisconsin's combined Medicaid and CHIP program) that had access to private, employer-sponsored health insurance at the time of their enrollment and the fraction that dropped this coverage. We estimate that after expansion of eligibility for public coverage, approximately 20% of new enrollees had access to private health insurance at the time of enrollment and that only 8% dropped this coverage (with the remaining 12% having both private and public coverage). We also identify an "upper bound" estimate, which suggests that the percentage of new enrollees with private insurance coverage at the time of enrollment is, at most, 27%. These estimates of crowd-out are relatively low compared with estimates from the literature based on Medicaid and CHIP expansions, although based both on different data and on a different method.

We use administrative data from Wisconsin to determine the fraction of new Medicaid enrollees who have private health insurance at the time of enrollment in the program. Through the linkage of several administrative data sources not previously used for research, we are able to observe coverage status directly for a large fraction of enrollees and indirectly for the remainder. We provide strict bounds for the percentages in each status and find that the percentage of new enrollees with private insurance coverage at the time of enrollment lies between 16 percent and 29 percent, and the percentage that dropped private coverage in favor of public insurance lies between 4 percent and 18 percent. Our point estimates indicate that, among all new enrollees, 21 percent had private health insurance at the time of enrollment and that 10 percent dropped this coverage. Our results show substantially lower rates than previous studies of crowd-out following public health insurance expansions and significant rates of dual coverage, whereby new enrollees into public insurance retain their previously held private insurance coverage.