The impact of Medicaid expansion on spending and utilization by older low-income Medicare beneficiaries

Objective

To examine indirect spillover effects of Affordable Care Act (ACA) Medicaid expansions to working-age adults on health care coverage, spending, and utilization by older low-income Medicare beneficiaries.

Data Sources

2010–2018 Health and Retirement Study survey data linked to annual Medicare beneficiary summary files.

Study Design

We estimated individual-level difference-in-differences models of total spending for inpatient, institutional outpatient, physician/professional provider services; inpatient stays, outpatient visits, physician visits; and Medicaid and Part A and B Medicare coverage. We compared changes in outcomes before and after Medicaid expansion in expansion versus nonexpansion states.

Data Collection/Extraction Methods

The sample included low-income respondents aged 69 and older with linked Medicare data, enrolled in full-year traditional Medicare, and residing in the community.

Principal Findings

ACA Medicaid expansion was associated with a 9.8 percentage point increase in Medicaid coverage (95% CI: 0.020–0.176), a 4.4 percentage point increase in having any institutional outpatient spending (95% CI: 0.005–0.083), and a positive but statistically insignificant 2.4 percentage point change in Part B enrollment (95% CI: −0.003 to 0.050, p = 0.079).

Conclusions

ACA Medicaid expansion was associated with more institutional outpatient spending among older low-income Medicare beneficiaries. Increased care costs should be weighed against potential benefits from increased realized access to care.     

Impacts of the Affordable Care Act's Medicaid Expansion on Women of Reproductive Age: Differences by Parental Status and State Policies

Introduction

We use data from the Behavioral Risk Factor Surveillance System (BRFSS) from 2012 to 2015 to estimate the effects of the Affordable Care Act's (ACA) Medicaid expansions on insurance coverage and access to care for low-income women of reproductive age (19–44).

Effects of state reinsurance programs on health insurance exchange premiums and insurer participation

Objective

The aim of the study was to estimate the effect of the state-based reinsurance programs through the section 1332 State Innovation Waivers on health insurance marketplace premiums and insurer participation.

Data Source

2015 to 2022 Robert Wood Johnson Foundation Health Insurance Exchange Compare Datasets.

Study Design

An event study difference-in-differences (DD) model separately for each year of implementation and a synthetic control method (SCM) are used to estimate year-by-year effects following program implementation.

Data Collection/Extraction Methods

Not applicable.

Principal Findings

Reinsurance programs were associated with a decline in premiums in the first year of implementation by 10%–13%, 5%–19%, and 11%–17% for bronze, silver, and gold plans (p < 0.05). There is a trend of sustained declines especially for states that implemented their programs in 2019 and 2020. The SCM analyses suggest some effect heterogeneity across states but also premium declines across most states. There is no evidence that reinsurance programs affected insurer participation.

Conclusion

State-based reinsurance programs have the potential to improve the affordability of health insurance coverage. However, reinsurance programs do not appear to have had an effect on insurer participation, highlighting the need for policy makers to consider complementary strategies to encourage insurer participation.     

Reforming Access: Trends in Medicaid Enrollment for New Medicare Beneficiaries, 2008–2011

Objective

To evaluate whether aligning the Part D low‐income subsidy and Medicaid program enrollment pathways in 2010 increased Medicaid participation among new Medicare beneficiaries.

Data Sources

Medicare enrollment records for years 2007–2011.

Study Design

We used a multinomial logistic model with state fixed effects to examine the annual change in limited and full Medicaid enrollment among new Medicare beneficiaries for 2 years before and after the reforms (2008–2011).

Data Extraction Methods

We identified new Medicare beneficiaries in the years 2008–2011 and their participation in Medicaid based on Medicare enrollment records.

Principal Findings

The percentage of beneficiaries enrolling in limited Medicaid at the start of Medicare coverage increased in 2010 by 0.3 percentage points for individuals aging into Medicare and by 1.3 percentage points for those qualifying due to disability (p < .001). There was no significant difference in the size of enrollment increases between states with and without concurrent limited Medicaid eligibility expansions.

Conclusions

Our findings suggest that streamlining financial assistance programs may improve Medicare beneficiaries’ access to benefits.     

The geography of Medicare's hospital value-based purchasing in relation to market demographics

Objective

To illustrate the association between the sociodemographic characteristics of hospital markets and the geographic patterns of Medicare hospital value-based purchasing (HVBP) scores.

Data Sources and Study Setting

This is a secondary analysis of United States hospitals with a HVBP Total Performance Score (TPS) for 2019 in the Centers for Medicare and Medicaid Services (CMS) Hospital Compare database (4/2021 release) and American Community Survey (ACS) data for 2015–2019.

Study Design

This is a cross-sectional study using spatial multivariable autoregressive models with HVBP TPS and component domain scores as dependent variables and hospital market demographics as the independent variables.

Data Collection/Extraction Methods

We calculated hospital market demographics using ZIP code level data from the ACS, weighted the 2019 CMS inpatient Hospital Service Area file.

Principal Findings

Spatial autoregressive models using eight nearest neighbors with diversity index, race and ethnicity distribution, families in poverty, unemployment, and lack of health insurance among residents ages 19–64 years provided the best model fit. Diversity index had the highest statistically significant contribution to lower TPS (ß = −12.79, p < 0.0001), followed by the percent of the population coded to “non-Hispanic, some other race” (ß = −2.59, p < 0.0023), and the percent of families in poverty (ß = −0.26, p < 0.0001). Percent of the population was non-Hispanic American Indian/Alaskan Native (ß = 0.35, p < 0.0001) and percent non-Hispanic Asian (ß = 0.12, p < 0.02071) were associated with higher TPS. Lower predicted TPS was observed in large urban cities throughout the US as well as in states throughout the Southeastern US. Similar geographic patterns were observed for the predicted Patient Safety, Person and Community Engagement, and Efficiency and Cost Reduction domain scores but are not for predicted Clinical Outcomes scores.

Conclusions

The lower predicted scores seen in cities and in the Southeastern region potentially reflect an inherent—that is, structural—association between market sociodemographics and HVBP scores.     

Participation in a Medicare advanced primary care model and the delivery of high-value services

Objective

To evaluate whether primary care providers' participation in the Comprehensive Primary Care Plus Initiative (CPC+) was associated with changes in their delivery of high-value services.

Data Sources

Medicare Physician & Other Practitioners public use files from 2013 to 2019, 2017 to 2019 Medicare Part B claims for a 5% random sample of Medicare Fee-for-Service (FFS) beneficiaries, the Area Health Resources File, the National Plan & Provider Enumeration System files, and public use datasets from the Centers for Medicare & Medicaid Services Physician Compare.

Study Design

We used a difference-in-difference approach with a propensity score-matched comparison group to estimate the association of CPC+ participation with the delivery of annual wellness visits (AWVs), advance care planning (ACP), flu shots, counseling to prevent tobacco use, and depression screening. These services are prominent examples of high-value services, providing benefits to patients at a reasonable cost. We examined both the likelihood of delivering these services within a year and the count of services delivered per 1000 Medicare FFS beneficiaries per year.

Data Collection/Extraction Methods

Secondary data are linked at the provider level.

Principal Findings

We find that CPC+ participation was associated with increases in the likelihood of delivering AWVs (13.03 percentage points by CPC+'s third year, p < 0.001) and the number of AWVs per 1000 Medicare FFS beneficiaries (44 more AWVs by CPC+'s third year, p < 0.001). We also find that CPC+ participation was associated with more flu shots per 1000 beneficiaries (52 more shots by CPC+'s third year, p < 0.001) but not with the likelihood of delivering flu shots. We did not find consistent evidence for the association between CPC+ participation and ACP services, counseling to prevent tobacco use, or depression screening.

Conclusions

CPC+ participation was associated with increases in the delivery of AWVs and flu shots, but not other high-value services.     

Association between non-profit hospital community benefit spending and health outcomes

Objective

To determine if greater non-profit hospital spending for community benefits is associated with better health outcomes in the county where they are located.

Data Sources and Study Setting

Community benefit data from IRS Form 990/Schedule H was linked to health outcome data from Area Health Resource Files, Map the Meal Gap, and Medicare claims from the Center for Medicare and Medicaid Services at the county level. Counties with at least one non-profit hospital in the United States from 2015 to 2019 (N = 5469 across the 5 years) were included.

Study Design

We ran multiple regressions on community benefit expenditures linked with the number of health professionals, food insecurity, and adherence to diabetes and hypertension medication for each county.

Data Collection

The three outcomes were chosen based on prior studies of community benefit and a recent survey sent to 12 health care executives across four regions of the U.S. Data on community benefit expenditures and health outcomes were aggregated at the county level.

Principal Findings

Average hospital community benefit spending in 2019 was $63.6 million per county ($255 per capita). Multivariable regression results did not demonstrate significant associations of total community benefit spending with food insecurity or medication adherence for diabetes. Statistically significant associations with the number of health professionals per 1000 (coefficient, 12.10; SE, 0.32; p < 0.001) and medication adherence for hypertension (marginal effect, 0.27; SE, 0.09; p = 0.003) were identified, but both would require very large increases in community benefit spending to meaningfully improve outcomes.

Conclusions

Despite varying levels of non-profit hospital community benefit investment across counties, higher community benefit expenditures are not associated with an improvement in the selected health outcomes at the county level. Hospitals can use this information to reassess community benefit strategies, while federal, state, and local governments can use these findings to redefine the measures of community benefit they use to monitor and grant tax exemption.     

Spillover benefit of improved access to healthcare on reducing worry about housing and meal affordability

Background

The Affordable Care Act Medicaid expansion improved access to health insurance among low-income populations. We sought to examine the spillover benefits of the ACA Medicaid expansion on ability to afford rent/mortgage and purchase of nutritious meals.

Methods

Using data from the Behavioral Risk Factor Surveillance System (BRFSS) we analyzed individuals aged 18–64 years residing in 12 U.S. states (including five ACA Medicaid expansion states) in 2015. Our treatment of interest was access to health insurance, instrumented by the ACA Medicaid expansion. Our outcome variables were: worry or stress about having sufficient money to pay the rent or mortgage and to purchase nutritious meals. We conducted a two-stage least squares instrumental variables regression.

Results

A 10%-point increase in the proportion of those who obtained health insurance following the ACA Medicaid expansion reduced the probability of being worried and stressed related to purchasing nutritious meals by 7.2% points (95% CI: 1.3–13.2) as well as paying the rent or mortgage by 8.6% points (95% CI: 2.5–14.7) among people living below 138% of the federal poverty level (FPL). The ACA Medicaid expansion was not associated with access to health insurance among those living over 138% of FPL, and obtaining health insurance did not influence stress or worry in relation to affording rent/mortgage or meals in this income group.

Conclusions

Improved access to health insurance contributed to reducing worry and stress associated with paying rent/mortgage or purchasing meals among low-income people. Expanding health insurance access may have contributed to increasing the disposable income of low income groups.

     

Impact of Medicaid Expansion on Interpregnancy Interval

ObjectivesMedicaid expansion under the Affordable Care Act (ACA) improved access to reproductive health care for low-income women and birthing people who were previously ineligible for Medicaid. We aimed to evaluate if the expansion affected the risk of having a short interpregnancy interval (IPI), a preventable risk factor for adverse pregnancy outcomes.MethodsWe evaluated parous singleton births to mothers aged 19 or older from U.S. birth certificate data 2009–2018. We estimated the effect of residing in a state that expanded Medicaid access (expansion status determined at 60 days after the prior live birth) on the risk of having a short IPI (<12 months) using difference-in-differences (DID) methods in linear probability models. We stratified the analyses by maternal characteristics and county-level reproductive health care access.ResultsOverall risk of short IPI was 14.9% in expansion states and 16.3% in non-expansion states. The expansion was not associated with a significant change in risk of having a short IPI (adjusted mean percentage point change 1.24 [-1.64, 4.12]). Stratified results also did not provide support for an association.ConclusionsACA Medicaid expansion did not have an impact on risk of short IPI. Preventing short IPI may require more comprehensive policy interventions in addition to health care access.     

A “Medical Mission” at Home: The Needs of Rural America in Terms of Otolaryngology Care

Objectives: Describe the population, Medicaid, uninsured, and otolaryngology practice demographics for 7 representative rural Southeastern states, and propose academic‐affiliated outreach clinics as a service to help meet the specialty care needs of an underserved rural population, based on the “medical mission” model employed in international outreach clinics. Methods: A needs assessment was conducted via review of medical licensing and practice location data from state medical licensing authorities, together with population, Medicaid, and uninsured data from state health/human services departments and the US Census Bureau. Results: In all states examined, there are significantly more practicing otolaryngologists per capita in urban areas compared to rural areas (P < .05), with the exception of West Virginia, where the difference was not statistically significant (P= .33). In the majority of the states examined, there were higher rates (expressed as a percentage of total county population) of both Medicaid recipients and uninsured patients in rural counties compared to urban counties. Notable exceptions include Louisiana and West Virginia, where there are higher percentages of Medicaid patients in urban areas, and Kentucky and Tennessee, where there are higher percentages of uninsured patients in the urban areas (P < .05 for each comparison). Conclusions: Borrowing design elements from the international outreach clinics, which involve many US otolaryngologists, a similar medical mission model could be of benefit domestically. There are rural areas of the Southeast where visiting outreach clinics could improve access to otolaryngology care and facilitate effective use of existing “safety net” health care resources.     

The Effect of Medicaid on Management of Depression: Evidence From the Oregon Health Insurance Experiment

Policy Points:

• We take advantage of Oregon's Medicaid lottery to gauge the causal effects of Medicaid coverage on mental health care, how effectively it addresses unmet needs, and how those effects differ for those with and without a history of depression.
• Medicaid coverage reduced the prevalence of undiagnosed depression by almost 50% and untreated depression by more than 60%. It increased use of medications and reduced the share of respondents reporting unmet mental health care needs by almost 40%.
• There are likely to be substantial mental health consequences of policy decisions about Medicaid coverage for vulnerable populations.

Context

Expanding Medicaid to previously uninsured adults has been shown to increase detection and reduce the prevalence of depression, but the ways that Medicaid affects mental health care, how effectively it addresses unmet needs, and how those effects differ for those with and without a history of depression remain unclear.

Methods

We take advantage of Oregon's Medicaid lottery to gauge the causal effects of Medicaid coverage using a randomized‐controlled design, drawing on both primary and administrative data sources.

Findings

Medicaid coverage reduced the prevalence of undiagnosed depression by almost 50% and untreated depression by more than 60%. It increased use of medications frequently prescribed to treat depression and related mental health conditions and reduced the share of respondents reporting unmet mental health care needs by almost 40%. The share of respondents screening positive for depression dropped by 9.2 percentage points overall, and by 13.1 for those with preexisting depression diagnoses, with greatest relief in symptoms seen primarily in feeling down or hopeless, feeling tired, and trouble sleeping—consistent with the increase observed not just in medications targeting depression but also in those targeting sleep.

Conclusions

Medicaid coverage had significant effects on the diagnosis, treatment, and outcomes of a population with substantial unmet mental health needs. Coverage increased access to care, reduced the prevalence of untreated and undiagnosed depression, and substantially improved the symptoms of depression. There are likely to be substantial mental health consequences of policy decisions about Medicaid coverage for vulnerable populations.     

Adoption of Medicaid Expansion Is Associated with Lower Maternal Mortality

ObjectivesThis study explores the effect of Medicaid expansion under the Affordable Care Act on the maternal mortality ratio in the United States.MethodsA difference-in-differences research design was used to analyze the effect of Medicaid expansion on maternal mortality. Maternal mortality was defined with and without late maternal deaths, to substantiate the contribution of increased preconception and postpartum insurance coverage. To examine whether there was a racial difference in the effects of Medicaid expansion, models were stratified by the woman's race/ethnicity for non-Hispanic Black women, non-Hispanic White women, and Hispanic women.ResultsMedicaid expansion was significantly associated with lower maternal mortality by 7.01 maternal deaths per 100,000 live births (p = .002) relative to nonexpansion states. When maternal mortality definitions excluded late maternal deaths, Medicaid expansion was significantly associated with a decrease in maternal mortality per 100,000 live births by 6.65 (p = .004) relative to nonexpansion states. Medicaid expansion effects were concentrated among non-Hispanic Black mothers, suggesting that expansion could be contributing to decreasing racial disparities in maternal mortality.ConclusionsAlthough maternal mortality overall continues to increase in the United States, the maternal mortality ratio among Medicaid expansion states has increased much less compared with nonexpansion states. These results suggest that Medicaid expansion could be contributing to a relative decrease in the maternal mortality ratio in the United States. The decrease in the maternal mortality ratio is greater when maternal mortality estimates include late maternal deaths, suggesting that sustained insurance coverage after childbirth as well as improved preconception coverage could be contributing to decreasing maternal mortality.     

Acceptance of New Medicaid Patients by Primary Care Physicians and Experiences with Physician Availability among Children on Medicaid or the Children's Health Insurance Program

Objective

To estimate the relationship between physicians'' acceptance of new Medicaid patients and access to health care.

Data Sources

The National Ambulatory Medical Care Survey (NAMCS) Electronic Health Records Survey and the National Health Interview Survey (NHIS) 2011/2012.

Study Design

Linear probability models estimated the relationship between measures of experiences with physician availability among children on Medicaid or the Children''s Health Insurance Program (CHIP) from the NHIS and state-level estimates of the percent of primary care physicians accepting new Medicaid patients from the NAMCS, controlling for other factors.

Principal Findings

Nearly 16 percent of children with a significant health condition or development delay had a doctor''s office or clinic indicate that the child''s health insurance was not accepted in states with less than 60 percent of physicians accepting new Medicaid patients, compared to less than 4 percent in states with at least 75 percent of physicians accepting new Medicaid patients. Adjusted estimates and estimates for other measures of access to care were similar.

Conclusions

Measures of experiences with physician availability for children on Medicaid/CHIP were generally good, though better in states where more primary care physicians accepted new Medicaid patients.     

Emergency unemployment benefits and health care spending during Covid

ObjectiveTo estimate the impact of the $600 per week Federal Pandemic Unemployment Compensation (FPUC) payments on health care services spending during the Covid pandemic and to investigate if this impact varied by state Medicaid expansion status.Data SourcesThis study leverages novel, publicly available data from Opportunity Insights capturing consumer credit and debit card spending on health care services for January 18–August 15, 2020 as well as information on unemployment insurance claims, Covid cases, and state policy changes.Study DesignUsing triple‐differences estimation, we leverage two sources of variation—within‐state change in the unemployment insurance claims rate and the introduction of FPUC payments—to estimate the moderating effect of FPUC on health care spending losses as unemployment rises. Results are stratified by state Medicaid expansion status.Extraction MethodsNot applicable.Principal FindingsFor each percentage point increase in the unemployment insurance claims rate, health care spending declined by 1.0% (<0.05) in Medicaid expansion states and by 2.0% (<0.01) in nonexpansion states. However, FPUC partially mitigated this association, boosting spending by 0.8% (<0.001) and 1.3% (<0.05) in Medicaid expansion and nonexpansion states, respectively, for every percentage point increase in the unemployment insurance claims rate.ConclusionsWe find that FPUC bolstered health care spending during the Covid pandemic, but that both the negative consequences of unemployment and moderating effects of federal income supports were greatest in states that did not adopt Medicaid expansion. These results indicate that emergency federal spending helped to sustain health care spending during a period of rising unemployment. Yet, the effectiveness of this program also suggests possible unmet demand for health care services, particularly in states that did not adopt Medicaid expansion.     

Effect of Medicaid Expansions on Health Insurance Coverage and Access to Care among Low‐Income Adults with Behavioral Health Conditions

Objective

To examine the effect of Medicaid expansions on health insurance coverage and access to care among low‐income adults with behavioral health conditions.

Data Sources/Study Setting

Nine years (2004–2012) of individual‐level cross‐sectional data from a restricted‐access version of National Survey on Drug Use and Health.

Study Design

A quasi‐experimental difference‐in‐differences design comparing outcomes among residents in 14 states that implemented Medicaid expansions for low‐income adults under the Section §1115 waiver with those residing in the rest of the country.

Data Collection/Extraction Methods

The analytic sample includes low‐income adult respondents with household incomes below 200 percent of the federal poverty level who have a behavioral health condition: approximately 28,400 low‐income adults have past‐year serious psychological distress and 24,900 low‐income adults have a past‐year substance use disorder (SUD).

Principal Findings

Among low‐income adults with behavioral health conditions, Medicaid expansions were associated with a reduction in the rate of uninsurance (p < .05), a reduction in the probability of perceiving an unmet need for mental health (MH) treatment (p < .05) and for SUD treatment (p < .05), as well as an increase in the probability of receiving MH treatment (p < .01).

Conclusions

The ongoing implementation of Medicaid expansions has the potential to improve health insurance coverage and access to care for low‐income adults with behavioral health conditions.     

Collaborating toward equity in Pennsylvania: The Age-Friendly Care,PA project

Objective

To collaboratively implement the age-friendly health systems framework, known as the 4Ms: What Matters, Medication, Mentation, and Mobility, at The Primary Health Network (PHN), a federally qualified health center.

Data Sources

Data were collected from PHN electronic medical records (EMRs) for individuals over age 65 from December 30, 2019 to December 24, 2021 and from Project ECHO© attendance and evaluation surveys.

Study Design

The telementoring educational program, Project ECHO©, was used to engage PHN health care professionals working in rural areas of Pennsylvania to incorporate the 4Ms into their practice starting with the annual wellness visit (AWV). Project ECHO© was launched at three primary care sites. After 18 months, it was then disseminated to an additional 18 sites creating pilot and comparison groups. Outcomes included codesigned patient process metrics using EMR data and project ECHO© participant data.

Data Collection Methods

EMR data were generated by system reports created by PHN's quality assurance program manager. Project ECHO© data were collected and managed using REDCap electronic data capture tools. Outcomes were aggregated, analyzed for trends over time, and compared between groups.

Principal Findings

All nine process outcomes increased from baseline to follow-up at the three initial sites, ranging from 4% to 43% g. At year two, the three initial sites had higher rates on AWVs (pilot 24%, comparison 12%; p < 0.0001), Advance Care Planning (New on file, pilot 8%, comparison 2%; Discussed with patient, pilot 18%, comparison 13%; Patient declined, pilot 0%, comparison 0%; p = 0.0001), Dementia Screening (pilot 24%, comparison 12%; p < 0.0001), Fall Risk Management (pilot 43%, comparison 10%; p < 0.0001), and Mobility Goal (pilot 19%, comparison 9%; p < 0.0001); and lower rates on High-Risk Medication Elimination (pilot 54%, comparison, 63%, p < 0.02).

Conclusions

Access to high-quality geriatric care for rural older adults can be improved by increasing health care professionals' knowledge of the 4Ms, beginning with its incorporation into the AWV.     

The effect of Phase 2 of the Premier Hospital Quality Incentive Demonstration on incentive payments to hospitals caring for disadvantaged patients

Objective

The Medicare and Premier Inc. Hospital Quality Incentive Demonstration (HQID), a hospital-based pay-for-performance program, changed its incentive design from one rewarding only high performance (Phase 1) to another rewarding high performance, moderate performance, and improvement (Phase 2). We tested whether this design change reduced the gap in incentive payments among hospitals treating patients across the gradient of socioeconomic disadvantage.

Data

To estimate incentive payments in both phases, we used data from the Premier Inc. website and from Medicare Provider Analysis and Review files. We used data from the American Hospital Association Annual Survey and Centers for Medicare and Medicaid Services Impact File to identify hospital characteristics.

Study Design

Hospitals were divided into quartiles based on their Disproportionate Share Index (DSH), from lowest disadvantage (Quartile 1) to highest disadvantage (Quartile 4). In both phases of the HQID, we tested for differences across the DSH quartiles for three outcomes: (1) receipt of any incentive payments; (2) total incentive payments; and (3) incentive payments per discharge. For each of the study outcomes, we performed a hospital-level difference-in-differences analysis to test whether the gap between Quartile 1 and the other quartiles decreased from Phase 1 to Phase 2.

Principal Findings

In Phase 1, there were significant gaps across the DSH quartiles for the receipt of any payment and for payment per discharge. In Phase 2, the gap was not significant for the receipt of any payment, but it remained significant for payment per discharge. For the receipt of any incentive payment, difference-in-difference estimates showed significant reductions in the gap between Quartile 1 and the other quartiles (Quartile 2, 17.5 percentage points [p < .05]; Quartile 3, 18.1 percentage points [p < .01]; Quartile 4, 28.3 percentage points [p < .01]). For payments per discharge, the gap was also significantly reduced between Quartile 1 and the other quartiles (Quartile 2, $14.92 per discharge [p < .10]; Quartile 3, $17.34 per discharge [p < .05]; Quartile 4, $21.31 per discharge [p < .01]). There were no significant reductions in the gap for total payments.

Conclusions

The design change in the HQID reduced the disparity in the receipt of any incentive payment and for incentive payments per discharge between hospitals caring for the most and least socioeconomically disadvantaged patient populations.     

Potential Adult Medicaid Beneficiaries Under the Patient Protection and Affordable Care Act Compared With Current Adult Medicaid Beneficiaries

PURPOSE

Under health care reform, states will have the opportunity to expand Medicaid to millions of uninsured US adults. Information regarding this population is vital to physicians as they prepare for more patients with coverage. Our objective was to describe demographic and health characteristics of potentially eligible Medicaid beneficiaries.

METHODS

We performed a cross-sectional study using data from the National Health and Nutrition Examination Survey (2007–2010) to identify and compare adult US citizens potentially eligible for Medicaid under provisions of the Patient Protection and Affordable Care Act (ACA) with current adult Medicaid beneficiaries. We compared demographic characteristics (age, sex, race/ethnicity, education) and health measures (self-reported health status; measured body mass index, hemoglobin A_1c level, systolic and diastolic blood pressure, depression screen [9-item Patient Health Questionnaire], tobacco smoking, and alcohol use).

RESULTS

Analyses were based on an estimated 13.8 million current adult non-elderly Medicaid beneficiaries and 13.6 million nonelderly adults potentially eligible for Medicaid. Potentially eligible individuals are expected to be more likely male (49.2% potentially eligible vs 33.3% current beneficiaries; P <.001), to be more likely white and less likely black (58.8% white, 20.0% black vs 49.9% white, 25.2% black; P = .02), and to be statistically indistinguishable in terms of educational attainment. Overall, potentially eligible adults are expected to have better health status (34.8% “excellent” or “very good,” 40.4% “good”) than current beneficiaries (33.5% “excellent” or “very good,” 31.6% “good”; P <.001). The proportions obese (34.5% vs 42.9%; P = .008) and with depression (15.5% vs 22.3%; P = .003) among potentially eligible individuals are significantly lower than those for current beneficiaries, while there are no significant differences in the expected prevalence of diabetes or hypertension. Current tobacco smoking (49.2% vs 38.0%; P = .002), and moderate and heavier alcohol use (21.6% vs 16.0% and 16.5% vs 9.8%; P <.001, respectively) are more common among the potentially eligible population than among current beneficiaries.

CONCLUSIONS

Under the ACA, physicians can anticipate a potentially eligible Medicaid population with equal if not better current health status and lower prevalence of obesity and depression than current Medicaid beneficiaries. Federal Medicaid expenditures for newly covered beneficiaries therefore may not be as high as anticipated in the short term. Given the higher prevalence of tobacco smoking and alcohol use, however, broad enrollment and engagement of this potentially eligible population is needed to address their higher prevalence of modifiable risk factors for future chronic disease.     

Effects of the Medicaid expansion under the Affordable Care Act on health insurance coverage,health care access,and use for people with disabilities

BackgroundPeople with disabilities have higher health care needs, service utilization, and expenditures. They are also more likely to lack insurance and experience unmet need for medical care. There has been limited research on the effects of the Affordable Care Act Medicaid expansion on people with disabilities.ObjectiveTo examine the effects of the Medicaid expansion on health insurance coverage, access, and service use for working-age adults with disabilities.MethodsA retrospective study using 11 years (2007–2017) of data from the Medical Expenditure Panel Survey - Household Components, linked to Area Health Resource Files and Local Area Unemployment Statistics (N = 40,995). Difference-in-differences multinomial logistic and linear probability models with state and year fixed-effects were used to estimate the effects.ResultsWe found strong evidence of increased Medicaid coverage in expansion states (3.2 to 5.0 percentage points), reasonably strong evidence of reduced private insurance coverage (?2.2 to ?2.5 percentage points), and some evidence of reduced uninsured rate (from no effect to ?3.7 percentage points). Results suggest that the increase in Medicaid coverage was due at least in part to the “crowd-out” of private insurance in expansion states. No statistically significant effects were detected for access and use outcomes.ConclusionsFindings suggest that state Medicaid expansions led to an increase in Medicaid coverage and a decrease in private insurance coverage as well as the uninsured. However, no evidence was found for health care access and use outcomes. Further research into access and use is needed when more data become available for the post-expansion period.