Contextual factors influencing the association between the Affordable Care Act's Medicaid expansion and Veteran VA-Medicaid dual enrollment.

OBJECTIVE: To evaluate changes in dual enrollment after Affordable Care Act Medicaid expansion by VA priority group, (e.g., service connection), sex, and type of state expansion. STUDY SETTING: Our cohort was all Veterans ages 18-64 enrolled in VA and eligible for benefits due to military service-connection or low income from 2011 to 2016; the unit of analysis was person-year. STUDY DESIGN: Difference-in-difference and event-study analysis. The outcome was dual VA-Medicaid enrollment for at least 1 month annually. Medicaid expansion, VA priority status, whether a state expanded by a Section 1115 waiver, and sex were independent variables. We controlled for race, ethnicity, age, disease burden, distance to VA facilities, state, and year. DATA EXTRACTION METHODS: We used data from the VA Corporate Data Warehouse (CDW) regarding age and VA Priority Group to select our cohort of VA-enrolled individuals. We then took the cohort and crossed checked it with Medicaid Analytic Extract (MAX) and T-MSIS Analytic Files (TAF) to determine Medicaid enrollment status. PRINCIPAL FINDINGS: Service-connected Veterans experienced lower dual-enrollment increases across all sex and state-waiver groups (3.44 percentage points (95% CI: 1.83, 5.05 pp) for women, 3.93 pp (2.98, 4.98) for men, 4.06 pp (2.85, 5.27) for non-waiver states, and 3.00 pp (1.58 to 4.41) for waiver states) than Veterans who enrolled in the VA due to low income (8.19 pp (5.43, 10.95) for women, 9.80 pp (7.06, 12.54) for men, 10.21 pp (7.17, 13.25) for non-waiver states, and 7.39 pp (5.28, 9.50) for waiver states). CONCLUSIONS: Medicaid expansion is associated with dual enrollment. Dual-enrollment changes are greatest in those enrolled in the VA due to low income, but do not differ by sex or expansion type. Results can help VA identify groups disproportionately likely to have potential care-coordination issues due to usage of multiple health care systems.

Medicaid Expansion's Final Frontier: Breaking State-Level Partisan Opposition.

This Viewpoint discusses the reasons why Medicaid has not been expanded in all US states and explains how expansion might finally be achieved in the 10 holdout states.

Nurse Leader Perceptions of Data in the Veterans Health Administration: A Qualitative Evaluation.

Healthcare systems and nursing leaders aim to make evidence-based nurse staffing decisions. Understanding how nurses use and perceive available data to support safe staffing can strengthen learning healthcare systems and support evidence-based practice, particularly given emerging data availability and specific nursing challenges in data usability. However, current literature offers sparse insight into the nature of data use and challenges in the inpatient nurse staffing management context. We aimed to investigate how nurse leaders experience using data to guide their inpatient staffing management decisions in the Veterans Health Administration, the largest integrated healthcare system in the United States. We conducted semistructured interviews with 27 Veterans Health Administration nurse leaders across five management levels, using a constant comparative approach for analysis. Participants primarily reported using data for quality improvement, organizational learning, and organizational monitoring and support. Challenges included data fragmentation, unavailability and unsuitability to user need, lack of knowledge about available data, and untimely reporting. Our findings suggest that prioritizing end-user experience and needs is necessary to better govern evidence-based data tools for improving nursing care. Continuous nurse leader involvement in data governance is integral to ensuring high-quality data for end-user nurses to guide their decisions impacting patient care.

Content Analysis of American Network News Coverage of Prevention Strategies During the Initial Wave of the COVID-19 Pandemic.

BACKGROUND: Broadcast media is a method to communicate health information to the general public and has previously been used in prior public health emergencies. Despite the current ubiquity of social media, traditional news programming retains relatively large audiences, which increased during the COVID-19 pandemic's early days. Viewership of broadcast media networks' evening news skews toward older groups (age 65 and up) which were vulnerable to health complications related to the COVID-19 pandemic. OBJECTIVES: The current study explored the trends in American broadcast network news media coverage of prevention during the initial wave of the COVID-19 pandemic. DESIGN: Quantitative content analysis using the Public Health Framework for Prevention was used to analyze three major US media networks' evening news content for thematic trends in COVID-19 coverage during the first US pandemic wave from March to May 2020. SUBJECTS: A total of 117 episodes of the evening news, 39 from each of the three major US media networks, evenly divided among the first 13 weeks of the pandemic in the US. MAIN MEASURES: Outcome variables included average seconds of coverage per episode devoted to prevention strategies, COVID-19 coverage not related to prevention, and non-COVID-19 coverage. KEY RESULTS: The proportion of coverage dedicated to COVID-19 sharply increased in the first 2 weeks of March and decreased in the last 2 weeks of May. Networks focused approximately half the COVID-19 coverage time on prevention issues (288 seconds/episode) compared to non-prevention issues (538 seconds/episode). Prevention coverage varied over time. CONCLUSIONS: Although coverage included COVID-19 prevention content, more of the coverage was on other pandemic-related issues (e.g., economic impacts). Because public network news outlets have broad reach and accessibility, they could be an effective partner for public health agencies disseminating prevention messaging for current and future disease outbreaks and threats to public health.

Medicaid Expansion and Veterans' Reliance on the VA for Depression Care.

Background: In 2001, before the Affordable Care Act (ACA), some states expanded Medicaid coverage to include an array of mental health services, changing veterans' reliance on US Department of Veterans Affairs (VA) services. Methods: Using Medicaid and VA administrative data from 1999 to 2006, we used a difference-in-difference design to calculate shifts in veterans' reliance on the VA for depression care in New York and Arizona after the 2 states expanded Medicaid coverage to adults in 2001. Demographically matched, neighbor states Pennsylvania and New Mexico/Nevada were used as paired comparisons, respectively. Fractional logit was used to capture the distribution of inpatient and outpatient depression care utilization between the VA and Medicaid, while ordered logit and negative binomial regressions were applied to model Medicaid-VA dual users and per capita utilization of total depression care services, respectively. Results: Medicaid expansion was associated with a 9.50 percentage point (pp) decrease (95% CI, -14.61 to -4.38) in reliance on the VA for inpatient depression care among service-connected veterans and a 13.37 pp decrease (95% CI, -21.12 to -5.61) among income-eligible veterans. For outpatient depression care, VA reliance decreased by 2.19 pp (95% CI, -3.46 to -0.93) among income-eligible veterans. Changes among service-connected veterans were nonsignificant (-0.60 pp; 95% CI, -1.40 to 0.21). Conclusions: After Medicaid expansion, veterans shifted depression care away from the VA, with effects varying by health care setting, income- vs service-related eligibility, and state of residence. Issues of overall cost, care coordination, and clinical outcomes deserve further study in the ACA era of Medicaid expansions.

Purpose, Subject, and Consumer Comment on "Perceived Burden Due to Registrations for Quality Monitoring and Improvement in Hospitals: A Mixed Methods Study".

Zegers and colleagues' study codifies the perceived burden of quality monitoring and improvement stemming from the work by clinicians of registering (documenting) quality information in the medical record. We agree with Zegers and colleagues' recommendation that a smaller, more effective and curated set of measures is needed to reduce burden, confusion, and expense. We further note that focusing on validity of clinical evidence behind individual measures is critical, but insufficient. We therefore extend Zegers and colleagues' work through a pragmatic, tripartite heuristic. To assess the value of and curate a targeted set of performance measures, we propose concentrating on the relationships among three factors: (1) The purpose of the performance measure, (2) the subject being evaluated, and (3) the consumer using information for decision-making. Our proposed tripartite framework lays the groundwork for executing the evidence-based recommendations proposed by Zegers et al, and provides a path forward for more effective healthcare performance-measurement systems.

Possible Effects on VA Outpatient Care of Expanding Medicaid: Implications of Having Access to Overlapping Publicly Funded Health Care Services.

BACKGROUND: Because veterans who use Veterans Health Administration (VA) health care retain VA eligibility while enrolling in Medicaid, increasing Medicaid eligibility may create improved health system access but also create unique challenges for the quality and coordination of health care for veterans. We analyze how pre-Affordable Care Act (ACA) state Medicaid expansions influence VA and Medicaid-funded outpatient care utilization. MATERIALS AND METHODS: This study uses Difference-in-difference analysis to evaluate association between pre-ACA 2001 Medicaid expansions and VA utilization in a natural experiment. Veterans aged 18-64 years living in a study state during the study period were the participants. Dependent variables included participants' proportion of outpatient care received at the VA, whether a participant recorded care with both Medicaid and the VA, and total outpatient utilization. We analyzed changes between two states that expanded Medicaid in 2001 against three similar states that did not from 1999 to 2006. We adjusted for age, non-White race, gender, disease burden, and distance to VA facilities. This study was approved by the Baylor College of Medicine Institutional Review Board (IRB), protocol number H-40441. RESULTS: In total, 346,364 VA-enrolled veterans lived in the five study states during the time of our study, 70,987 of whom were enrolled in Medicaid for at least 1 month. For low-income veterans, Medicaid expansion was associated with a 2.88 percentage-point decline in the VA proportion of outpatient services (99% CI -3.26 to -2.49), and a 2.07-point increase (1.80 to 2.35) in the percentage of patients using both VA and Medicaid services. Results also showed small increases in total (VA plus Medicaid) annual per-capita outpatient visits among low-income veterans. We estimate that this corresponds to an annual reduction of 80,338 VA visits across study states (66,155-94,521). CONCLUSIONS: This study shows usage shifts when Medicaid expansion allows veterans to gain access to non-VA care. It highlights increased potential for care-coordination challenges among VA patients as states implement ACA Medicaid expansion and policymakers consider additional public health insurance options, as well as programs like CHOICE and the MISSION Act that increase veteran choices of traditional VA and community care providers.

An Alternative Method of Public Reporting of Comparative Hospital Quality and Performance Data for Transparency Initiatives.

BACKGROUND: Hospital performance comparisons for transparency initiatives may be inadequate if peer comparison groups are poorly defined. OBJECTIVE: The objective of this study was to evaluate a new approach identifying hospital peers for comparison. DESIGN/SETTING: We used Mahalanobis distance as a new method of developing peer-specific groupings for hospitals to incorporate both external and internal complexity. We compared the overlap in groups with an existing method used by the Veterans' Health Administration's Office for Productivity, Efficiency, and Staffing (OPES). PARTICIPANTS: One hundred twenty-two acute-care Veterans' Health Administration's Medical Facilities as defined in the OPES fiscal year 2014 report. MEASURES: Using 15 variables in 9 categories developed from expert input, including both hospital internal measures and community-based external measures, we used principal components analysis and calculated Mahalanobis distance between each hospital pair. This method accounts for correlation between variables and allows for variables having different variances. We identified the 50 closest hospitals, then eliminated any potential peer whose score on the first component was >1 SD from the reference hospital. We compared overlap with OPES measures. RESULTS: Of 15 variables, 12 have SDs exceeding 25% of their means. The first 2 components of our analysis explain 24.8% and 18.5% of variation among hospitals. Eight of 9 variables scaling positively on the first component measure internal complexity, aligning with OPES groups. Four of 5 variables scaling positively on the second component but not the first are factors from the policy environment; this component reflects a dimension not considered in OPES groups. CONCLUSION: Individualized peers that incorporate external complexity generate more nuanced comparators to evaluate quality.

To Battle COVID-19's Twin Economic and Health Crises, Medicaid Needs Flexible Funding Structures for Stabilization.

Medicaid, which provides health insurance to low-income Americans, is a joint federal-state partnership that manifests as 50 unique state programs. States have policy flexibility to design programs within federal parameters. However, Medicaid also requires funding flexibility to encourage states to maintain services during times of crisis when more people need Medicaid. Currently, Medicaid's funding formula, the Federal Medical Assistance Percentage (FMAP), adjusts federal spending by state levels of economic development but fails to adjust for nationwide recessions. During economic contractions, the federal government should use its ability to run budget deficits to reimburse states at higher rates in exchange for maintaining services. In turn, during economic expansions, states should shoulder relatively more costs of Medicaid. Although the current FMAP boost provided under the Families First Coronavirus Response Act has reduced strain on state Medicaid programs, it does not account for the severity of state-specific downturns and is limited to the current emergency. Instead of ad hoc, across-the-board FMAP boosts to respond to each crisis, Congress should pass legislation making automatic adjustments based on changes in state unemployment rates.

Long-Term Implications of Post-ACA Health Reform on State Health Care Policy.

In the midst of the COVID-19 outbreak, health care reform has again taken a major role in the 2020 election, with Democrats weighing Medicare for All against extensions of the Affordable Care Act, while Republicans quietly seem to favor proposals that would eliminate much of the ACA and cut Medicaid. Although states play a major role in health care funding and administration, public and scholarly debates over these proposals have generally not addressed the potential disruption that reform proposals might create for the current state role in health care. We examine how potential reforms influence state-federal relations, and how outside factors like partisanship and exogenous shocks like the COVID-19 pandemic interact with underlying preferences of each level of government. All else equal, reforms that expand the ACA within its current framework would provide the least disruption for current arrangements and allow for smoother transitions for providers and patients, rather than the more radical restructuring proposed by Medicare for All or the cuts embodied in Republican plans.

Effects of State-level Medicaid Expansion on Veterans Health Administration Dual Enrollment and Utilization: Potential Implications for Future Coverage Expansions.

OBJECTIVE: The objective of this study was to examine how pre-Affordable Care Act (ACA) state-level Medicaid expansions affect dual enrollment and utilization of Veterans Health Administration (VA) and Medicaid-funded care. RESEARCH DESIGN: We employed difference-in-difference analysis to determine the association between pre-ACA Medicaid expansions in New York and Arizona in 2001 and VA utilization. Participants' dual enrollment in Medicaid and VA, the distribution of their annual hospital admissions and emergency department (ED) visits between VA and Medicaid were dependent variables. We controlled for age, race, sex, disease burden, distance to VA facilities and income-based eligibility for VA services. MEASURES: Secondary data collected from 1999 to 2006 in 2 states expanding Medicaid and 3 demographically similar nonexpansion states. We obtained residency, enrollment and utilization data from VA's Corporate Data Warehouse and Medicaid Analytic Extract files. RESULTS: For low-income Veterans, Medicaid expansion was associated with increased dual enrollment of 4.87 percentage points (99% confidence interval: 4.48-5.25), a 4.63-point decline in VA proportion of admissions (-5.87 to -3.38), and a 11.70-point decrease in the VA proportion of ED visits (-13.06 to -10.34). Results also showed increases in the number of total (VA plus Medicaid) annual per-capita hospitalizations and ED visits among the group of VA enrollees most likely to be eligible for expansion. CONCLUSIONS: This study shows slight usage shifts when Veterans gain access to non-VA care. It highlights the need to overcome care-coordination challenges among VA patients as states implement ACA Medicaid expansion and policymakers consider additional expansions of public health insurance programs such as Medicare-for-All.

State Governments and Judges May Moderate the Impact of the Trump Administration's Promotion of Medicaid Work Requirements.

In January 2018, the Center for Medicare and Medicaid Services (CMS) released guidance that encouraged states to submit Section 1115 waivers that impose work requirements on some Medicaid beneficiaries. To evaluate the potential impact of a policy, we need to accurately predict both how far a policy will spread and how durable it will prove over time. This commentary draws upon recent political science scholarship to describe potential constraints that changes in state-level partisan control can impose on CMS's current waiver strategy, as well as how state-level constraints might interact with judicial review to further limit the policy's spread.