Commentary: Determining Economic Factors That Matter to People With Intellectual and Developmental Disabilities and Their Caregivers: A Process Framework.

BACKGROUND: The 2020-2029 strategic plan for the Patient-Centered Outcomes Research Trust Fund calls for addressing data infrastructure gaps that are critical for studying issues around intellectual and developmental disabilities (I/DD). Specifically, the plan calls for data collection on economic factors that affect person-centered approaches to health care decision-making. Among people with I/DD and their caregivers, such economic factors may include financial costs of care, decreased opportunities for leisure and recreation, income losses associated with caregiving, and foregone opportunities for skill acquisition or other human capital investments. OBJECTIVE: This commentary supports responsiveness to the Patient-Centered OutcomesResearch Trust Fund (PCORTF) calls by conceptualizing and operationalizing a framework for identifying preferences on economic factors that are relevant to people with I/DD and their caregivers. MAIN ARGUMENTS: The framework outlined in this commentary addresses barriers to data collection that hinder measure development in the study of I/DD. This work is significant and timely given the continued movement to integrate and maintain people with I/DD within communities and recent methodological advances for eliciting preferences among people with I/DD. RELEVANCE TO THE SPECIAL ISSUE: Readers will be introduced to a framework for building data capacity in the study of economic outcomes among a population that is a high research priority for federal funding agencies. This commentary aims to be useful to researchers in planning, developing, and initiating projects in this area.

Effect of Eased Restrictions for Aca-Exempt Short-Term Health Plans on Marketplace Premiums and Uninsured Rate: A Difference in Differences Analysis.

The Affordable Care Act (ACA) established broad standards for private health insurance in the United States including requiring minimum essential benefits and prohibiting medical underwriting, but the law also permitted some exceptions. This paper examines one type of exempt plan option, Short-Term, Limited Duration Insurance (STLDI) that is not required to fully meet ACA benefit and underwriting standards. Federal rules governing STLDI plans have changed over time, with more permissive rules in the Trump administration allowing individuals to remain covered for longer durations of time relative to the original Obama regulations. Within applicable federal guidelines, states have also varied STLDI rules. Using publicly available data measuring state-level variations in STLDI regulations, ACA benchmark premiums, uninsured rates, and population characteristics for 2014 to 2021, we estimate difference-in-differences models to examine if more permissible STLDI policies are associated with higher premiums in the fully regulated non-group market and, also, lower uninsured rates. We find that longer duration, more permissible STLDI is associated with higher benchmark premiums in ACA exchanges and no difference in state-level uninsured rates. Trump administration regulations permitting longer duration STLDI plans to make available more affordable ACA-exempt health insurance were associated with higher premium costs in the ACA-regulated non-group market but we did not observe measurable impact on state uninsured rates. While longer-duration STLDI plans may result in lower costs for some, they have negative consequences for others requiring comprehensive coverage with no discernible benefit in overall coverage rates. Understanding these tradeoffs can help guide future policies regarding exceptions to ACA plan requirements.

Racial And Ethnic Disparities In Preventable Hospitalizations And ED Visits Five Years After ACA Medicaid Expansions.

Medicaid expansions under the Affordable Care Act (ACA) dramatically increased access to insurance coverage. We examined whether the 2014 ACA Medicaid expansions also mitigated existing racial or ethnic disparities in preventable hospitalizations and emergency department (ED) visits. Using inpatient data from twenty-nine states and ED data from twenty-six states for the period 2011-18, we found that Medicaid expansions decreased disparities in preventable hospitalizations and ED visits between non-Hispanic Black and White nonelderly adults by 10 percent or more. There were no significant effects on disparities between Hispanic and non-Hispanic White nonelderly adults, possibly reflecting lower baseline differences and, separately, persisting coverage disparities. These findings highlight sustained improvements in community-level care for non-Hispanic Black populations, who historically lack access to care. Our findings also suggest access barriers experienced by Hispanic adults that need to be addressed beyond Medicaid eligibility expansion.

The Impact of Payment Reforms on the Safety Net: Examining Effects of the New Jersey Delivery System Reform Incentive Payment Program on Quality of Care Among Medicaid Beneficiaries.

The Medicaid Delivery System Reform Incentive Payment (DSRIP) program has been among the most widely adopted value-based payment strategies to drive improved population health management among safety net populations. Using comprehensive claims data from New Jersey and difference-in-differences modeling, the authors examine the impact of DSRIP pay-for-performance disease management programs on outcomes related to targeted chronic conditions. The authors find DSRIP reduced asthma hospitalizations and emergency department visits, pneumonia readmissions, and improved alcohol and drug treatment. Positive program-specific findings are encouraging for future DSRIP-like initiatives and demonstrate provider ability to successfully adapt to payment reforms.

Impact of a Provider Tele-mentoring Learning Model on the Care of Medicaid-enrolled Patients With Diabetes.

BACKGROUND: Project ECHO (Extension for Community Healthcare Outcomes), a tele-mentoring program for health care providers, has been shown to improve provider-reported outcomes, but there is insufficient research on patient-level outcomes. OBJECTIVES: To evaluate the impact of primary care provider (PCP) participation in Project ECHO on the care of Medicaid enrollees with diabetes. RESEARCH DESIGN: New Jersey Medicaid claims and encounter data and difference-in-differences models were used to compare utilization and spending between Medicaid patients seen by PCPs participating in a Project ECHO program to those of matched nonparticipating PCPs. SUBJECTS: A total of 1776 adult Medicaid beneficiaries (318 with diabetes), attributed to 25 participating PCPs; and 9126 total (1454 diabetic) beneficiaries attributed to 119 nonparticipating PCPs. MEASURES: Utilization and spending for total inpatient, diabetes-related inpatient, emergency department, primary care, and endocrinologist services; utilization of hemoglobin A1c tests, eye exams, and diabetes prescription medications among diabetics, and total Medicaid spending. RESULTS: Participation in Project ECHO was associated with decreases of 44.3% in inpatient admissions (P=0.001) and 61.9% in inpatient spending (P=0.021) among treatment relative to comparison patients. Signs of most other outcome estimates were consistent with hypothesized program effects but without statistical significance. Sensitivity analyses largely confirmed these findings. CONCLUSIONS: We find evidence that Project ECHO participation was associated with large and statistically significant reductions of inpatient hospitalization and spending. The study was observational and limited by a small sample of participating PCPs. This study demonstrates the feasibility and potential value of quasi-experimental evaluation of Project ECHO patient outcomes using claims data.

Experimental evidence of the effect of financial incentives and detection on dishonesty.

We revisit two fundamental motivations of dishonesty: financial incentives and probability of detection. We use an ability-based real effort task in which participants who are college students in India can cheat by over reporting the number of puzzles they could solve in a given period of time. The puzzles are all unsolvable and this fact is unknown to participants. This design feature allows us to obtain the distribution of cheating outcomes at the individual level. Controlling for participant attributes, we find that introducing piece-rate financial incentives lowers both the likelihood and magnitude of cheating only for individuals with a positive probability of detection. On the other hand, a decrease in the probability of detection to zero increases magnitude of cheating only for individuals receiving piece-rate incentives. Moreover, we observe that participants cheat significantly even in the absence of piece-rate incentives indicating that affective benefits may determine cheating. Finally, an increase in own perceived wealth status vis-à-vis one's peers is associated with a higher likelihood of cheating while feeling more satisfied with one's current economic state is associated with a lower magnitude of cheating.

Effects of Permanent Supportive Housing on Health Care Utilization and Spending Among New Jersey Medicaid Enrollees Experiencing Homelessness.

BACKGROUND: Permanent supportive housing (PSH) programs have the potential to improve health and reduce Medicaid expenditures for beneficiaries experiencing homelessness. However, most research on PSH has been limited to small samples of narrowly defined populations. OBJECTIVE: To evaluate the effects of PSH on Medicaid enrollees across New Jersey. RESEARCH DESIGN: Linked data from the Medicaid Management Information System and the Homeless Management Information System were used to compare PSH-placed Medicaid enrollees with a matched sample of other Medicaid enrollees experiencing homelessness. Comparisons of Medicaid-financed health care utilization and spending measures were made in a difference-in-differences framework 6 quarters before and after PSH placement. SUBJECTS: A total of 1442 Medicaid beneficiaries enrolled in PSH and 6064 Medicaid-enrolled homeless individuals not in PSH in 2013-2014. RESULTS: PSH placement is associated with a 14.3% reduction in emergency department visits (P<0.001) and a 25.2% reduction in associated spending (P<0.001). PSH also appears to reduce inpatient utilization and increase pharmacy spending with neutral effects on primary care visits and total costs of care (TCOC). CONCLUSIONS: Placement in PSH is associated with lower hospital utilization and spending. No relationship was found, however, between PSH placement and TCOC, likely due to increased pharmacy spending in the PSH group. Greater access to prescription drugs may have improved the health of PSH-placed individuals in a way that reduced hospital episodes with neutral effects on TCOC.

Did the Medicare Prescription Drug Program Lead to New Racial and Ethnic Disparities? Examining Long-term Changes in Prescription Drug Access among Minority Populations.

This study examined whether the Medicare Part D program was associated with racial/ethnic disparities in prescription drug access among elderly individuals who reported adequate access to physicians. Using a population-based survey of New Jersey residents, a difference-in-differences model estimated elderly blacks (OR = 3.20; p = .05) and Hispanics (OR = 4.29; p = .05) had higher odds than whites of reporting prescription access problems in the post, but not the pre-Part D period. The presence of prescription insurance did not lead to a significant decrease in access problems. Part D beneficiaries are required to make complicated decisions on cost-sharing and medication choices that require active involvement by physicians and pharmacists. Lack of guidance may critically impact minorities and economically vulnerable patients and cannot be addressed by extending coverage alone.

Medicaid Utilization and Spending among Homeless Adults in New Jersey: Implications for Medicaid-Funded Tenancy Support Services.

Policy Points Large numbers of homeless adults gained Medicaid coverage under the Affordable Care Act, increasing policymaker interest in strategies to improve care and reduce avoidable hospital costs for homeless populations. Compared with nonhomeless adult Medicaid beneficiaries, homeless adult beneficiaries have higher levels of health care needs, due in part to mental health issues and substance use disorders. Homeless adults are also more likely to visit the emergency department or require inpatient admissions. Emergency care and inpatient admissions may sometimes be avoided when individuals have high-quality community-based care and healthful living conditions. Offering tenancy support services that help homeless adults achieve stable housing may therefore be a cost-effective strategy for improving the health of this vulnerable population while reducing spending on avoidable health care interventions. Medicaid beneficiaries with disabling health conditions and more extensive histories of homelessness experience the most potentially avoidable health care interventions and spending, with the greatest opportunity to offset the cost of offering tenancy support benefits. CONTEXT: Following Medicaid expansion under the Affordable Care Act, the number of homeless adults enrolled in Medicaid has increased. This has spurred interest in developing Medicaid-funded tenancy support services (TSS) for homeless populations as a way to reduce Medicaid spending on health care for these individuals. An emerging body of evidence suggests that such TSS can reduce avoidable health care spending. METHODS: Drawing on linked Homeless Management Information System and Medicaid claims and encounter data, this study describes the characteristics of homeless adults who could be eligible for Medicaid TSS in New Jersey and compares their Medicaid utilization and spending patterns to matched nonhomeless beneficiaries. FINDINGS: More than 8,400 adults in New Jersey were estimated to be eligible for Medicaid TSS benefits in 2016, including approximately 4,000 living in permanent supportive housing, 800 formally designated as chronically homeless according to federal guidelines, 1,300 who were likely eligible for the chronically homeless designation, and over 2,000 who were at risk of becoming chronically homeless. Homeless adults in our study were disproportionately between the ages of 30 and 64 years, male, and non-Hispanic blacks. The homeless adults we studied also tended to have very high burdens of mental health and substance use disorders, including opioid-related conditions. Medicaid spending for a homeless beneficiary who was potentially eligible for TSS was 10% ($1,362) to 27% ($5,727) more than spending for a nonhomeless Medicaid beneficiary matched on demographic and clinical characteristics. Hospital inpatient and emergency department utilization accounted for at least three-fourths of "excess" Medicaid spending among the homeless groups. CONCLUSIONS: A large group of high-need Medicaid beneficiaries could benefit from TSS, and Medicaid funding for TSS could reduce avoidable Medicaid utilization and spending.

Medicaid DSRIP in New Jersey: Trade-offs between Broad Hospital Participation and Safety Net Viability.

The Delivery System Reform Incentive Payment (DSRIP) program, an increasingly utilized payment strategy to foster population health management by hospitals and outpatient providers, may sometimes generate financial and operational hardships for safety net hospitals (SNHs). The authors utilized a hospital survey and stakeholder interviews to examine impacts of the New Jersey DSRIP program, particularly focusing on its participatory structure that extended eligibility to all hospitals, and specific effects on SNHs. They found that the New Jersey DSRIP fulfilled its primary objective of conditioning receipt of Medicaid supplementary payments on quality and reporting of care by hospitals. It also provided an impetus to ongoing hospital-directed initiatives and introduced new areas of focus, including behavioral health and obesity. However, stakeholders reported that program implementation was not sensitive to specific constraints, priorities, and resource needs of SNHs. Some of the policies relating to outpatient partnerships, reporting of quality metrics, and monitoring low-income populations were perceived to have placed disproportionate burdens on SNHs. Despite appearing to meet its primary goals, the New Jersey DSRIP experience reveals a critical need to be responsive to problems faced by SNHs so as to limit their short-term transition costs and maintain financial viability for serving their patient populations.

Much ado about nothing? The financial impact of physician-owned specialty hospitals.

The U.S. hospital industry has recently witnessed a number of policy changes aimed at aligning hospital payments to costs and these can be traced to significant concerns regarding selection of profitable patients and procedures by physician-owned specialty hospitals. The policy responses to specialty hospitals have alternated between payment system reforms and outright moratoriums on hospital operations including one in the recently enacted Affordable Care Act. A key issue is whether physician-owned specialty hospitals pose financial strain on the larger group of general hospitals through cream-skimming of profitable patients, yet there is no study that conducts a systematic analysis relating such selection behavior by physician-owners to financial impacts within hospital markets. The current paper takes into account heterogeneity in specialty hospital behavior and finds some evidence of their adverse impact on profit margins of competitor hospitals, especially for-profit hospitals. There is also some evidence of hospital consolidation in response to competitive pressures by specialty hospitals. Overall, these findings underline the importance of the payment reforms aimed at correcting distortions in the reimbursement system that generate incentives for risk-selection among providers groups. The identification techniques will also inform empirical analysis on future data testing the efficacy of these payment reforms.

Informing the Design and Evaluation of Superuser Care Management Initiatives: Accounting for Regression-to-the-Mean.

BACKGROUND: Health care spending is concentrated among a small number of high-cost patients, and the popularity of initiatives to improve care and reduce cost among such "superusers" (SUs) is growing. However, SU costs decline naturally over time, even without intervention, a statistical phenomenon known as regression-to-the-mean (RTM). OBJECTIVES: We assess the magnitude of RTM in hospital costs for cohorts of hospital SUs identified on the basis of high inpatient (IP) or emergency department (ED) utilization. We further examine how cost and RTM are associated with patient characteristics including behavioral health (BH) problems, multiple chronic conditions, and indicators of vulnerability. STUDY DESIGN: Using longitudinally linked all-payer hospital billing data, we selected patient cohorts with ≥2 IP stays (IP SUs) or ≥6 ED visits (ED SUs) during a 6-month baseline period, and additional subgroups defined by combinations of IP and ED superuse. POPULATION STUDIED: A total of 289,060 NJ hospital IP and treat-and-release ED patients over 2009-2011. RESULTS: Hospital costs among IP and ED SUs declined 70% and 38%, respectively, over 8 quarters following the baseline period. The decrease occurs more quickly for IP SUs compared with ED SUs. Presence of BH problems was positively associated with costs among patients overall, but the relationship varied by SU cohort. CONCLUSIONS: Understanding patterns of RTM among SU populations is important for designing intervention strategies, as there is greater potential for savings among patients with more persistent costs (less RTM). Further, as many SU initiatives lack resources for rigorous evaluation, quantifying the extent of RTM is vital for interpreting program outcomes.

Impact of Medicare Part D on coverage, access, and disparities among new jersey seniors.

The authors used a population-based survey of New Jersey residents to assess outcomes associated with implementation of the Medicare Part D program. Between 2001 and 2009, there was a 24% increase in prescription drug coverage among elderly individuals, but also an increase in cost-related access problems. Compared with the pre-Part D period, seniors reporting access problems post-Part D were less likely to be uninsured and more likely to be publicly insured. Cost-related access disparities among elderly Blacks and Hispanics relative to elderly Whites persisted from 2001 to 2009, and were partly driven by ongoing disparities related to low income. Such cost-based access problems 3 years into implementation implies that they are not transitory and may reflect inadequate subsidy levels alongside the importance of physician advice about prescriptions in ensuring low-cost medication options for vulnerable patients. Finally, the findings, may also reflect success in enrolling high-need seniors into Part D.

The New Jersey Medicaid ACO Demonstration Project: seeking opportunities for better care and lower costs among complex low-income patients.

A small but growing number of states are turning to accountable care concepts to improve their Medicaid programs. In 2011 New Jersey enacted the Medicaid Accountable Care Organization (ACO) Demonstration Project to offer local provider coalitions the opportunity to share any savings they generate. Impetus came from initiatives in Camden that aim to reduce costs through improved care coordination among hospital high users and that have received considerable media attention and substantial federal and private grant support. Though broadly similar to Medicare and commercial ACOs, the New Jersey demonstration addresses the unique concerns faced by Medicaid populations. Using hospital all-payer billing data, we estimate savings from care improvement efforts among inpatient and emergency department high users in thirteen communities that are candidates for participation in the New Jersey demonstration. We also examine their characteristics to inform Medicaid accountable care strategies. We find substantial variation in the share of high-user hospital patients across the study communities and high rates of avoidable use and costs among these patients. The potential savings among Medicaid enrollees are considerable, particularly if Medicaid ACOs can develop ways to successfully address the high burden of chronic illness and behavioral health conditions prevalent in the prospective demonstration communities.

Bipolar medication use and adherence to antiretroviral therapy among patients with HIV-AIDS and bipolar disorder.

OBJECTIVE: The study examined relationships between adherence to bipolar medication and to antiretroviral therapy, measured by medication fills, among patients with diagnoses of bipolar disorder and HIV infection. METHODS: A retrospective study was conducted of Medicaid claims data (2001-2004) from eight states, focusing on antiretroviral adherence. The unit of analysis was person-month (N=53,971). The average observation period for the 1,687 patients was 32 months. Analyses controlled for several patient characteristics. RESULTS: Patients possessed antiretroviral drugs in 72% of the person-months. When a bipolar medication prescription was filled in the prior month, the rate of antiretroviral possession in the subsequent month was 78%, compared with 65% when bipolar medication was not filled in the prior month (p<.001). Odds of antiretroviral possession were 66% higher in months when patients had a prior-month supply of bipolar medication. CONCLUSIONS: Bipolar medication adherence may improve antiretroviral adherence among patients with bipolar disorder and HIV infection.

Assessing medication exposures and outcomes in the frail elderly: assessing research challenges in nursing home pharmacotherapy.

BACKGROUND: Large administrative datasets such as Medicare and Medicaid claims have much potential utility in clinical and comparative effectiveness (CE) studies. Among their advantages are the inclusion of clinically heterogeneous populations, without exclusions typical in clinical trials; the ability to study extremely large study populations with power to examine differential outcomes across individual drugs, treatment effect modification, and the risk of uncommon outcomes. However, claims data by themselves are subject to many limitations, notably, in their lack of information on such clinical characteristics as functional status, behaviors, and symptoms, which are important both as outcomes and as covariates. METHODS: We describe data from multiple sources including standardized, electronically recorded clinical and functional data from the Nursing Home (NH) Minimum Data Set; prescription drug data from Medicaid and Medicare claims; and facility data. We present the strengths and challenges of using merged data about the NH population to study prescription drug exposures and outcomes in the frail elderly, and suggest strategies to address methodological difficulties. RESULTS: Merged data from NH sources can support unique study designs in CE research and provide great power. However, given the differing longitudinal structure, timing of observations, and other complex features of the underlying data sources, such studies pose many challenging design and analytic issues. CONCLUSIONS: Integrated data on the NH population have great potential for CE research among frail elderly persons, if methodological and measurement challenges can be adequately addressed.

Does the profit motive make Jack nimble? Ownership form and the evolution of the US hospital industry.

We examine the evolving structure of the US hospital industry since 1970, focusing on how ownership form influences entry and exit behavior. We develop theoretical predictions based on the model of Lakdawalla and Philipson, in which for-profit and not-for-profit hospitals differ regarding their objectives and costs of capital. The model predicts for-profits would be quicker to enter and exit than not-for-profits in response to changing market conditions. We test this hypothesis using data for all US hospitals from 1984 to 2000. Examining annual and regional entry and exit rates, for-profit hospitals consistently have higher entry and exit rates than not-for-profits. Econometric modeling of entry and exit rates yields similar patterns. Estimates of an ordered probit model of entry indicate that entry is more responsive to demand changes for for-profit than not-for-profit hospitals. Estimates of a discrete hazard model for exit similarly indicate that negative demand shifts increase the probability of exit more for for-profits than not-for-profits. Finally, membership in a hospital chain significantly decreases the probability of exit for for-profits, but not not-for-profits.