Do Financial Incentives Affect Utilization for Chronically Ill Medicare Beneficiaries?

OBJECTIVE: The objective of this study was to examine the price sensitivity for provider visits among Medicare Advantage beneficiaries. DATA SOURCES: We used Medicare Advantage encounter data from 2014 to 2017 accessed as part of an evaluation for the Center for Medicare & Medicaid Innovation. STUDY DESIGN: We analyzed the effect of cost-sharing on the utilization of 2 outcome categories: number of visits (specialist and primary care) and the probability of any visit (specialist and primary care). Our main independent variable was the size of the copayment for the visit, which we regressed on the outcomes with several beneficiary-level and plan-level control variables. DATA COLLECTION/EXTRACTION METHODS: We included beneficiaries with at least 1 of 4 specific chronic conditions and matched comparison beneficiaries. We did not require beneficiaries to be continuously enrolled from 2014 to 2017, but we required a full year of data for each year they were observed. This resulted in 371,140 beneficiary-year observations. PRINCIPAL FINDINGS: Copay reductions were associated with increases in utilization, although the changes were small, with elasticities <-0.2. We also found evidence of substitution effects between primary care provider (PCP) and specialist visits, particularly cardiology and endocrinology. When PCP copays declined, visits to these specialists also declined. CONCLUSIONS: We find that individuals with chronic conditions respond to changes in copays, although these responses are small. Reductions in PCP copays lead to reduced use of some specialists, suggesting that lowering PCP copays could be an effective way to reduce the use of specialist care, a desirable outcome if specialists are overused.

Expanding Enrollment Without the Individual Mandate: Options to Bring More People into the Individual Market.

Issue: Recent changes to the Affordable Care Act, including elimination of the individual mandate penalty, the halting of federal payments for cost-sharing reductions, and expanded access to short-term plans, may reduce enrollment in the individual market. Goal: Analyze options to increase enrollment, accounting for recent policy changes. Methods: RAND's COMPARE microsimulation model is used to analyze six policies that would expand access to tax credits, increase their generosity, and fund a reinsurance program. Key Findings and Conclusions: The options would increase individual market enrollment by 400,000 to 3.2 million in 2020. Net increases in total enrollment (300,000 to 2.4 million) are smaller because of offsetting decreases in employer-sponsored insurance. The largest gains are possible through two options: large-scale investment in reinsurance, and extension of tax credits to higher-income people combined with increases in the generosity of existing tax credits. If funded through a fee on health plans, reinsurance could be implemented without increasing the federal deficit. Additional taxpayer costs would increase by $1 billion to $23 billion, depending on the policy. While enhanced tax credits for young adults would lead to small coverage gains, they would entail the lowest costs to taxpayers among the six options.

Association Between the Opening of Retail Clinics and Low-Acuity Emergency Department Visits.

STUDY OBJECTIVE: We assess whether the opening of retail clinics near emergency departments (ED) is associated with decreased ED utilization for low-acuity conditions. METHODS: We used data from the Healthcare Cost and Utilization Project State Emergency Department Databases for 2,053 EDs in 23 states from 2007 to 2012. We used Poisson regression models to examine the association between retail clinic penetration and the rate of ED visits for 11 low-acuity conditions. Retail clinic "penetration" was measured as the percentage of the ED catchment area that overlapped with the 10-minute drive radius of a retail clinic. Rate ratios were calculated for a 10-percentage-point increase in retail clinic penetration per quarter. During the course of a year, this represents the effect of an increase in retail clinic penetration rate from 0% to 40%, which was approximately the average penetration rate observed in 2012. RESULTS: Among all patients, retail clinic penetration was not associated with a reduced rate of low-acuity ED visits (rate ratio=0.999; 95% confidence interval=0.997 to 1.000). Among patients with private insurance, there was a slight decrease in low-acuity ED visits (rate ratio=0.997; 95% confidence interval=0.994 to 0.999). For the average ED in a given quarter, this would equal a 0.3% reduction (95% confidence interval 0.1% to 0.6%) in low-acuity ED visits among the privately insured if retail clinic penetration rate increased by 10 percentage points per quarter. CONCLUSION: With increased patient demand resulting from the expansion of health insurance coverage, retail clinics may emerge as an important care location, but to date, they have not been associated with a meaningful reduction in low-acuity ED visits.

Rethinking the Affordable Care Act's "Cadillac tax": A More Equitable Way to Encourage "Chevy" Consumption.

The Affordable Care Act's "Cadillac tax" will apply a 40 percent excise tax on total employer health insurance premiums in excess of $10,200 for single coverage and $27,500 for family coverage, starting in 2018. Employer spending on premiums is currently excluded from income and payroll taxes. Economists argue that this encourages overconsumption of health care, favors high-income workers, and reduces federal revenue. This issue brief suggests that the Cadillac tax is a "blunt instrument" for addressing these concerns because it will affect workers on a rolling timetable, does relatively little to address the regressive nature of the current exclusion, and may penalize firms and workers for cost variation that is outside their control. Replacing the current exclusion with tax credits for employer coverage that scale inversely with income might allow for regional adjustments in health care costs and eliminate aspects of the tax exclusion that favor high-income over low-income workers.

Assessing the Impact of Individual Market Reforms in Minnesota.

Starting in 2026, Minnesota could experience disruptions to its health insurance marketplace caused by the anticipated sunset of federal premium subsidy enhancements, made available through the Inflation Reduction Act of 2022, as well as the expiration of state funding for its reinsurance program. With reduced premium subsidies, fewer people might enroll in marketplace plans, which could lead to higher premiums and market instability. The expiration of reinsurance, which partially offsets insurers' claims costs for people with high expenditures, could exacerbate these issues. In this study, researchers estimate the effects of implementing state-funded subsidies to bolster Minnesota's marketplace given these anticipated changes. They also study the impact of replacing the state's Basic Health Program with a similarly structured marketplace plan. The policy reforms that researchers consider were developed by the Minnesota Council of Health Plans and share similar goals with legislation recently proposed by Minnesota policymakers, such as HF 96, a bill authorizing study of a public option that also proposed to temporarily enhance marketplace subsidies.

Household Health Care Payments Under Rate Setting, Spending Growth Target, and Single-Payer Policies.

Importance: Households have high burden of health care payments. Alternative financing approaches could reduce this burden for some households. Objective: To estimate the distribution of household health care payments across income under health care reform policies. Design, Setting, and Participants: Cross-sectional study with microsimulation used nationally representative data of the US population in 2030. Civilian, noninstitutionalized population from the 2022 Current Population Survey linked to expenditures from the 2018 and 2019 Medical Expenditure Panel Survey and 2022 National Health Expenditure Accounts were included. Exposure: Rate regulation of hospital, physician, and other health care professional payments equal to the all-payer mean in the status quo, spending growth target at 4% annual per capita growth, and single-payer health care financed through taxes. Main Outcomes and Measures: Household health care payments (out-of-pocket expenses, premiums, and taxes) as a share of compensation. Results: The synthetic population contained 154 456 records representing 339.5 million individuals, with 51% female, 7% Asian, 14% Black, 18% Hispanic White, 56% non-Hispanic White, and 5% other races and ethnicities (American Indian or Alaskan Native only; Native Hawaiian or other Pacific Islander only; and 2 or more races). In the status quo, mean household health care payments as a share of compensation was 24% to 27% (standard error [SE], 0.2%-1.2%) across income groups (median [IQR] 22% [4%-52%] below 139% of the federal poverty level [FPL]; 21% [4%-34%] for households above 1000% FPL [11% of the population]). Under rate setting, mean (SE) payments by households above 1000% FPL increased to 29% (0.6%) (median [IQR], 22% [6%-35%]) and decreased to 23% to 25% for other income groups. Under the spending growth target, mean (SE) payments decreased from 23% to 26% (SE, 0.2%-1.2%) across income groups. Under the single-payer system, mean (SE) payments declined to 15% (0.7%) (median [IQR], 4% [0%-30%]) for those below 139% FPL and increased to 31% (0.6%) (median [IQR], 23% [3%-39%]) for those above 1000% FPL. Uninsurance fell from 9% to 6% under rate setting due to improved Medicaid access, and to zero under the single-payer system. Conclusions and Relevance: Single-payer financing based on the current federal income tax schedule and a payroll tax could substantially increase progressivity of household payments by income. Rate setting led to slight increases in payments by higher-income households, who financed higher payment rates in Medicare and Medicaid. Spending growth targets reduced payments slightly for all households.

Expanding Insurance Coverage to Undocumented Immigrants in Connecticut.

Policymakers in Connecticut are considering various state-funded policy options to improve insurance coverage among undocumented and legally present recent immigrants in the state - almost 60 percent of whom lack health insurance. In particular, they are removing immigration status requirements from Medicaid eligibility. They are also considering whether to provide state-funded subsidies to undocumented immigrants enrolled in individual market plans. A key challenge for this analysis was determining what share of undocumented immigrants would be likely to take up insurance coverage if it were available to them. Because few states have expanded coverage to their undocumented populations and because the denominator is uncertain, estimates of take-up rates are highly uncertain. There is similar uncertainty in estimating how much health care undocumented populations will use once they become insured. To address these uncertainties, the authors conducted sensitivity analyses that varied both the take-up and utilization rates. Using the RAND Corporation's COMPARE microsimulation model, the authors estimate the impacts of each policy scenario on enrollment, premiums, state spending, and hospital spending on uncompensated care. Their analysis suggests that removing immigration status requirements for Medicaid and individual market subsidy eligibility would decrease uninsurance among the undocumented and legally present recent immigrant populations by 32 to 37 percent and could improve insurance coverage and affordability in Connecticut for these populations while not substantially impacting other Connecticut residents.

Summary of the Current Status of Health Insurance Enrollment in Connecticut.

The state of Connecticut is considering a number of policy options to improve health insurance affordability, access, and equity. To create policies designed to increase insurance coverage and access to care in underserved communities and reduce racial and ethnic disparities, state policymakers need an accurate picture of the current distributions of insurance enrollment across these dimensions. The authors combine data from the American Community Survey Public Use Microdata Sample, which includes demographic characteristics, as well as insurance status, with various data sources from the state to provide a fuller picture of insurance enrollment among those under the age of 65 in Connecticut. They also use existing high-level estimates of 2020 insurance enrollment to provide estimates of how enrollment in the state was affected during the early months of the pandemic. The authors find that insurance enrollment in Connecticut in 2019 was generally high but that there were substantial differences in insurance coverage by race and ethnicity. Asian individuals had the highest rates of employer-sponsored insurance coverage, and Black individuals had the highest rates of Medicaid coverage. Hispanic individuals had a higher rate of Medicaid coverage than non-Hispanic individuals. High-level estimates of changes in insurance coverage during the early months of the COVID-19 pandemic suggest that uninsurance decreased slightly, Medicaid coverage increased, and private insurance coverage fell. This study provides the state of Connecticut with estimates of enrollment in detailed health insurance categories by age, gender, race, and ethnicity and highlights the need for better, more-detailed health insurance enrollment data.

Increasing Subsidies and Expanding Health Insurance Options in Connecticut.

Policymakers in Connecticut are considering various options to increase the affordability of insurance in the state, such as expansions to premium and cost-sharing reduction subsidies on the state's health insurance marketplace, as well as expanded plan offerings, including extending eligibility for the state employee health plan (SEHP) to other groups and a publicly contracted, privately operated plan (the public option plan) offered to individuals on the marketplace. The authors used the RAND Corporation's COMPARE microsimulation model to estimate the impacts of such policy options. For each policy scenario, they calculated enrollment, premiums, consumer spending, and state spending and considered whether the results differed by race, ethnicity, or income group. The individual market reforms substantially increased affordability for people with incomes between 175 and 200 percent of the federal poverty level (FPL), reducing out-of-pocket spending as a share of income by 50 percent in some scenarios. Changes to affordability for higher-income groups were smaller, in part because the proposed policy changes for people with incomes between 200 and 400 percent of FPL were relatively modest and focused only on reducing cost-sharing (not premiums). New costs to the state for 2023 ranged from $19 million to $94 million, depending on the scenario. All four SEHP specifications led to the same bottom-line conclusion that offering a SEHP plan would improve insurance coverage and affordability for those eligible for the plan. Expanding eligibility for the SEHP holds promise for stabilizing or reducing consumer costs, improving plan generosity, and bringing more people into the market.

The Effect of the Medicare Advantage Value-Based Insurance Design Model Test on Utilization in 2017.

In 2015, the Centers for Medicare and Medicaid Services announced the Medicare Advantage (MA) Value-Based Insurance Design (VBID) model test, which allows MA insurers to use flexible benefit design strategies, such as reduced cost-sharing, to encourage beneficiaries with chronic disease to use high-value care. During the first year of implementation (2017), nine MA insurers offered VBID in 45 health plans to a total of 96 053 eligible beneficiaries. We used MA encounter data to estimate the impact of VBID on health services utilization in 2017 using a difference-in-differences research design. We found that VBID increased use of 10 out of 18 targeted services, and led to general increases in primary care visits, specialty care visits, and drug fills across eligible beneficiaries. The model was also associated with increases in ambulatory care sensitive inpatient and emergency department visits, an unanticipated effect that may be temporary. Overall, our findings suggest that VBID successfully increased the use of high-value services among eligible MA beneficiaries, an important first step along the pathway to better chronic disease management, lower spending, and improved beneficiary health.

Neighborhood socioeconomic status and cognitive function in women.

OBJECTIVES: We examined whether neighborhood socioeconomic status (NSES) is associated with cognitive functioning in older US women and whether this relationship is explained by associations between NSES and vascular, health behavior, and psychosocial factors. METHODS: We assessed women aged 65 to 81 years (n = 7479) who were free of dementia and took part in the Women's Health Initiative Memory Study. Linear mixed models examined the cross-sectional association between an NSES index and cognitive functioning scores. A base model adjusted for age, race/ethnicity, education, income, marital status, and hysterectomy. Three groups of potential confounders were examined in separate models: vascular, health behavior, and psychosocial factors. RESULTS: Living in a neighborhood with a 1-unit higher NSES value was associated with a level of cognitive functioning that was 0.022 standard deviations higher (P = .02). The association was attenuated but still marginally significant (P < .1) after adjustment for confounders and, according to interaction tests, stronger among younger and non-White women. CONCLUSIONS: The socioeconomic status of a woman's neighborhood may influence her cognitive functioning. This relationship is only partially explained by vascular, health behavior, or psychosocial factors. Future research is needed on the longitudinal relationships between NSES, cognitive impairment, and cognitive decline.

Insurers' perspectives on MA value-based insurance design model.

OBJECTIVES: Value-based insurance design (VBID) lowers cost sharing for high-value healthcare services that are clinically beneficial to patients with certain conditions. In 2017, the Center for Medicare and Medicaid Innovation began a voluntary VBID model test in Medicare Advantage (MA). This article describes insurers' perspectives on the MA VBID model, explores perceived barriers to joining this model, and describes ways to address participation barriers. STUDY DESIGN: A descriptive, qualitative study. METHODS: In spring/summer 2017, we conducted semistructured interviews with 24 representatives of 10 nonparticipating MA insurers to learn why they did not join the model test. We interviewed 73 representatives of 8 VBID-participating insurers about their participation decisions and implementation experiences. All interview data were analyzed thematically. RESULTS: Fewer than 30% of eligible insurers participated in the first 2 years of the model test. The main barriers to entry were a perceived lack of information on VBID in MA, an expectation of low return on investment, concerns over administrative and information technology (IT) hurdles, and model design parameters. Most VBID participants encountered administrative and IT hurdles but overcame them. CMS made changes to the model parameters to increase the uptake. CONCLUSIONS: The model uptake was low, and implementation challenges and concerns over VBID effectiveness in the Medicare population were important factors in participation decisions. To increase uptake, CMS could consider providing in-kind implementation assistance to model participants. Nonparticipants may want to incorporate lessons learned from current participants, and insurers should engage their IT departments/vendors early on.

Changes in Hospital Inpatient Utilization Following Health Care Reform.

OBJECTIVE: To estimate the effects of 2014 Medicaid expansions on inpatient outcomes. DATA SOURCES: Health Care Cost and Utilization Project State Inpatient Databases, 2011-2014; population and unemployment estimates. STUDY DESIGN: Retrospective study estimating effects of Medicaid expansions using difference-in-differences regression. Outcomes included total admissions, referral-sensitive surgical and preventable admissions, length of stay, cost, and patient illness severity. FINDINGS: In 2014 quarter four, compared with nonexpansion states, Medicaid admissions increased (28.5 percent, p = .006), and uninsured and private admissions decreased (-55.1 percent, p = .001, and -6.6 percent, p = .052), whereas all-payer admissions showed little change. Uninsured expansion effects were negative for preventable admissions (-24.4 percent, p = .068), length of stay (-9.3 percent, p = .039), total cost (-9.2 percent, p = .128), and illness severity (-4.5 percent, p = .397). Significant positive expansion effects were found for Medicaid referral-sensitive surgeries (11.8 percent, p = .021) and patient illness severity (2.3 percent, p = .015). Private and all-payer expansion effects for outcomes other than admission volume were small and mainly nonsignificant (p > .05). CONCLUSION: Medicaid expansions did not change all-payer admission volumes, but they were associated with increased Medicaid and decreased uninsured volumes. Results suggest those previously uninsured with greater needs for inpatient services were most likely to gain coverage. Compositional changes in uninsured and Medicaid admissions may be due to selection.

The efficacy of the Rio Hondo DUI court: a 2-year field experiment.

This study reports results from an evaluation of the experimental Rio Hondo driving under the influence (DUI) court of Los Angeles County, California. Interviews and official record checks with 284 research participants who were randomly assigned to a DUI court or a traditional criminal court were assessed at baseline and at 24-month follow-up. The interviews assessed the impact of the DUI court on self-reported drunk driving behavior, the completion of treatment, time spent in jail, alcohol use, and stressful life events. Official record checks assessed the impact of the DUI court on subsequent arrests for driving under the influence and other drinking-related behaviors. Few differences on any outcomes were observed between participants in the experimental DUI court and those assigned to the traditional court. The results suggest that the DUI court model had little additional therapeutic or public safety benefit over the traditional court process. The implication of these findings for the popularity of specialized courts for treating social problems is discussed.

Private Health Insurance Exchanges: Early Evidence and Implications for the Future.

Private health insurance exchanges offer employer health insurance, combining online shopping, increased plan choice, benefit administration, and cost-containment strategies. This article examines how private exchanges function, how they may affect employers and employees, and the possible implications for the Affordable Care Act's (ACA's) Small Business Health Options Program (SHOP) Marketplaces. The authors found that private exchanges could encourage employees to select less-generous plans. This could expose employees to higher out-of-pocket costs, but premium contributions would drop substantially, so net spending would decrease. On the other hand, employee spending may increase if, in moving to private exchanges, employers decrease their health insurance contributions. Most employers can avoid the ACA's "Cadillac tax" by reducing the generosity of the plans they offer, regardless of whether they move to a private exchange. There is not yet enough evidence to determine whether the private exchanges will become prominent in the insurance market and how they will affect employers and their employees.

A Comprehensive Assessment of Four Options for Financing Health Care Delivery in Oregon.

This article describes four options for financing health care for residents of the state of Oregon and compares the projected impacts and feasibility of each option. The Single Payer option and the Health Care Ingenuity Plan would achieve universal coverage, while the Public Option would add a state-sponsored plan to the Affordable Care Act (ACA) Marketplace. Under the Status Quo option, Oregon would maintain its expansion of Medicaid and subsidies for nongroup coverage through the ACA Marketplace. The state could cover all residents under the Single Payer option with little change in overall health care costs, but doing so would require cuts to provider payment rates that could worsen access to care, and implementation hurdles may be insurmountable. The Health Care Ingenuity Plan, a state-managed plan featuring competition among private plans, would also achieve universal coverage and would sever the employer-health insurance link, but the provider payment rates would likely be set too high, so health care costs would increase. The Public Option would be the easiest of the three options to implement, but because it would not affect many people, it would be an incremental improvement to the Status Quo. Policymakers will need to weigh these options against their desire for change to balance the benefits with the trade-offs.

US-based indices of area-level deprivation: results from HealthCare for Communities.

In this analysis we create census-tract level indices of area deprivation for the US that parallel similar indices developed in Britain, and we determine whether these indices are related to physical and mental health outcomes. Data for the indices come from the 2000 Census Summary File Tapes and the 2001 Zip Code Business Patterns Files. These indices are then linked by census tract to cross-sectional data from the HealthCare for Communities (HCC) study, and equations are estimated using multi-level models with census-tract random effects. We find that area-level deprivation predicts poor mental and physical health outcomes, but different components of deprivation have different effects. When we measure deprivation using three factor scores that emerged from our analysis (rather than combining all measures of deprivation into a single index), we find that access to services has a more pronounced association with physical health, whereas racial composition and local language barriers are more strongly correlated with mental health. These findings suggest that grouping all variables into a single index may mask important heterogeneity in the ways in which area characteristics affect health outcomes.