Medicaid Expansion Associated With Reductions In Preventable Hospitalizations

Progress for all: addressing disparities in sarcoidosis

PURPOSE OF REVIEW

The impact of healthcare disparities in the treatment, care, and outcomes of patients with sarcoidosis has been described. There is paucity of literature on ways to address these disparities with a goal to improving health outcomes for patients with sarcoidosis.

RECENT FINDINGS

Recent findings in other respiratory and systemic diseases suggest that multifaceted interventions directed at improving care at various levels including individual, family, and larger societal levels have been successful in dismantling some of the social and structural barriers to care and consequently have resulted in a reduction in disparate disease outcomes. We explore what some of these interventions would look like in sarcoidosis.

SUMMARY

The impact of healthcare disparities in the treatment, care, and outcomes of patients with sarcoidosis has been described. We outline various steps and approaches aimed at addressing these health disparities with a goal to improving outcomes for those most impacted by disease.

Identifying Under- And Overutilization Patterns For Idaho Youth With Serious Emotional Disturbance

Children and adolescents with serious emotional disturbance represent 7-12 percent of all youth in the United States. In 2017, the State of Idaho implemented the Youth Empowerment Service program, which allows youth with serious emotional disturbance who are younger than age eighteen living in households with income up to 300 percent of the federal poverty level to qualify for Medicaid and receive intensive, community-based treatment. A uniquely detailed method was used to assess the need for services: the Child and Adolescent Needs and Strengths tool, a ninety-seven-indicator instrument administered by a clinician. We used these indicators and Idaho's 2018-22 administrative Medicaid claims data to study the association between children and adolescents' clinical needs complexity and their actual Medicaid behavioral and mental health service use. Our findings show that there was a substantial proportion of youth who were underusing Medicaid behavioral and mental health care services, and there were virtually no overusers. Our findings have implications for the appropriateness of Medicaid utilization management in behavioral health care and program efforts to maintain families with youth having serious emotional disturbance in the Youth Empowerment Service program.

Perceptions of access to care after a rural hospital closure in an economically distressed county of Appalachian Tennessee

PURPOSE

The rise in rural hospital closures has sparked concern about the potential loss of essential health care services for rural communities. It is crucial to incorporate the perspectives of community residents, which have been largely missing from the literature, when devising strategies to improve health care for this population. The purpose of this study was to describe community residents' perceptions of access to care following a rural hospital closure in an economically distressed Appalachian county of Tennessee.

METHODS

This study used a qualitative descriptive approach to illustrate how community residents perceive accessing care post hospital closure. We conducted semi-structured interviews with 24 community residents via telephone in May through August of 2020. Interviews were analyzed using conventional content analysis.

FINDINGS

Five themes were identified based on Penchansky and Thomas' framework of health care: accessibility, availability, affordability, accommodation, and acceptability. Accessibility was identified as the most common concern among participants. Specifically, participants perceived longer travel times to receive care, reduced availability of emergency and specialty care, increased costs associated with ambulance services, and extended wait times to see providers.

CONCLUSIONS

Our findings provide a critical perspective to inform local leaders and policymakers on the impacts of a hospital closure in a rural community. As rural hospitals continue to close, it is crucial to develop multi-level, community-driven solutions to ensure access to care for rural communities.

The variation in preventable hospitalization in patients with type 2 diabetes in Kentucky before and after the Medicaid expansion

BACKGROUND

Hospitalizations are more resource intensive and expensive than outpatient care. Therefore, type 2 diabetes-related preventable hospitalization are a major topic of research efficiency in the healthcare system.

OBJECTIVES

Analyze county level variation in type 2 diabetes-related preventable hospitalization rates in Kentucky before the Medicaid expansion (2010-2013) and after the Medicaid expansion (2014-2017).

DESIGN

Geographic mapping and cluster analysis.

SETTING

Data for a state of the United States of America.

METHODS

We used the KID data to generate geographic mapping for type 2 diabetes-related preventable hospitalizations to visualize rates. We included all Kentucky discharges of age 18 years and older with the ICD9/10 principal diagnosis code for type 2 diabetes. Then, we conducted cluster analysis techniques to compare county-level variation in type 2 diabetes-related preventable hospitalization rates across Kentucky counties pre- and post-Medicaid expansion.

MAIN OUTCOME AND MEASURES

County type 2 diabetes-related preventable hospitalization pre- and post-Medicaid expansion.

RESULTS

From 2010-2017, type 2 diabetes-related preventable hospitalization discharge rates reduced significantly in the period of the post-Medicaid expansion (P=.001). The spatial statistics analysis revealed a significant spatial clustering of counties with similar rates of type 2 diabetes-related preventable hospitalization in the south, east, and southeastern Kentucky pre- and post-Medicaid expansion (positive z-score and positive Moran's Index value (P>.05). Also, there was a significant clustering of counties with low type 2 diabetes-related preventable hospitalization rates in the north, west, and central regions of the state pre-Medicaid expansion and post-Medicaid expansion (positive z-score and positive Moran's Index value (P>.05).

CONCLUSION

Kentucky counties in the southeast have experienced a significant clustering of highly avoidable hospitalization rates during both periods. Focusing on the vulnerable counties and the economic inequality in Kentucky could lead to efforts to lowering future type 2 diabetes-related preventable hospitalization rates.

LIMITATIONS

We used de-identified data which does not provide insights into the frequency of hospitalizations per patient. An individual patient may be hospitalized several times and counted as several individuals.

Association Between Community Social Vulnerability and Preventable Hospitalizations

Preventable hospitalizations are common and costly events that burden patients and our health care system. While research suggests that these events are strongly linked to ambulatory care access, emerging evidence suggests they may also be sensitive to a patient's social, environmental, and economic conditions. This study examines the association between variations in social vulnerability and preventable hospitalization rates. We conducted a cross-sectional analysis of county-level preventable hospitalization rates for 33 states linked with data from the 2020 Social Vulnerability Index (SVI). Preventable hospitalizations were 40% higher in the most vulnerable counties compared with the least vulnerable. Adjusted regression results confirm the strong relationship between social vulnerability and preventable hospitalizations. Our results suggest wide variation in community-level preventable hospitalization rates, with robust evidence that variation is strongly related to a community's social vulnerability. The human toll, societal cost, and preventability of these hospitalizations make understanding and mitigating these inequities a national priority.

Affordable Care Act Medicaid Expansion was Associated With Reductions in the Proportion of Hospitalizations That are Potentially Preventable Among Hispanic and White Adults

OBJECTIVE

Using data on 5 years of postexpansion experience, we examined whether the coverage gains from Affordable Care Act Medicaid expansion among Black, Hispanic, and White individuals led to improvements in objective indicators of outpatient care adequacy and quality.

RESEARCH DESIGN

For the population of adults aged 45-64 with no insurance or Medicaid coverage, we obtained data on census population and hospitalizations for ambulatory care sensitive conditions (ACSCs) during 2010-2018 in 14 expansion and 7 nonexpansion states. Our primary outcome was the percentage share of hospitalizations due to ACSC out of all hospitalizations ("ACSC share") among uninsured and Medicaid-covered patients. Secondary outcomes were the population rate of ACSC and all hospitalizations. We used multivariate regression models with an event-study difference-in-differences specification to estimate the change in the outcome measures associated with expansion in each of the 5 postexpansion years among Hispanic, Black, and White adults.

PRINCIPAL FINDINGS

At baseline, ACSC share in the expansion states was 19.0%, 14.5%, and 14.3% among Black, Hispanic, and White adults. Over the 5 years after expansion, Medicaid expansion was associated with an annual reduction in ACSC share of 5.3% (95% CI, -7.4% to -3.1%) among Hispanic and 8.0% (95% CI, -11.3% to -4.5%) among White adults. Among Black adults, estimates were mixed and indicated either no change or a reduction in ACSC share.

CONCLUSIONS

After Medicaid expansion, low-income Hispanic and White adults experienced a decrease in the proportion of potentially preventable hospitalizations out of all hospitalizations.

Racialized economic segregation and potentially preventable hospitalizations among Medicaid/CHIP-enrolled children

OBJECTIVE

To examine geographic variation in preventable hospitalizations among Medicaid/CHIP-enrolled children and to test the association between preventable hospitalizations and a novel measure of racialized economic segregation, which captures residential segregation within ZIP codes based on race and income simultaneously.

DATA SOURCES

We supplement claims and enrollment data from the Transformed Medicaid Statistical Information System (T-MSIS) representing over 12 million Medicaid/CHIP enrollees in 24 states with data from the Public Health Disparities Geocoding Project measuring racialized economic segregation.

STUDY DESIGN

We measure preventable hospitalizations by ZIP code among children. We use logistic regression to estimate the association between ZIP code-level measures of racialized economic segregation and preventable hospitalizations, controlling for sex, age, rurality, eligibility group, managed care plan type, and state.

DATA EXTRACTION METHODS

We include children ages 0-17 continuously enrolled in Medicaid/CHIP throughout 2018. We use validated algorithms to identify preventable hospitalizations, which account for characteristics of the pediatric population and exclude children with certain underlying conditions.

PRINCIPAL FINDINGS

Preventable hospitalizations vary substantially across ZIP codes, and a quarter of ZIP codes have rates exceeding 150 hospitalizations per 100,000 Medicaid-enrolled children per year. Preventable hospitalization rates vary significantly by level of racialized economic segregation: children living in the ZIP codes that have the highest concentration of low-income, non-Hispanic Black residents have adjusted rates of 181 per 100,000 children, compared to 110 per 100,000 for children in ZIP codes that have the highest concentration of high-income, non-Hispanic white residents (p < 0.01). This pattern is driven by asthma-related preventable hospitalizations.

CONCLUSIONS

Medicaid-enrolled children's risk of preventable hospitalizations depends on where they live, and children in economically and racially segregated neighborhoods-specifically those with higher concentrations of low-income, non-Hispanic Black residents-are at particularly high risk. It will be important to identify and implement Medicaid/CHIP and other policies that increase access to high-quality preventive care and that address structural drivers of children's health inequities.

The effect of medicaid expansion on access to healthcare, health behaviors and health outcomes between expansion and non-expansion states

In 1965, Medicaid was implemented with the goal of providing insurance to low-income individuals. In 2010, the Patient Protection Affordable Care Act (PPACA) standardized and expanded the eligibility criteria for the Medicaid program across the United States. In 2012, the constitutionality of this expansion was challenged and the Supreme Court rules that states were only required to expand their Medicaid program if they wanted to utilize the additional funds allotted by the federal government. This research paper examines the effects of the expansion by looking at health data in expansion and non-expansion states. Specifically, this study compares metrics designed to gauge healthcare access, health behaviors and health outcomes to determine if expansion has had positive overall effect on expansion states. We conclude that expansion states have demonstrated improved access to healthcare and improved health outcomes than the non-expansion states. Changes in health behaviors reflect mixed results - HIV screenings are higher in expansion states but participation in flu vaccinations show no statistical significance difference between the two groups. Given the results of this analysis, we conclude that Medicaid expansion is an effective policy for states to pursue in order to further the original objectives of Medicaid by improving the health of low-income recipients.

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.

Preventable Hospitalization Trends Before and After the Affordable Care Act

Introduction

The Patient Protection and Affordable Care Act aimed to increase the number of individuals with health insurance, which may lead to adequate primary care management and reduced rates of preventable hospitalizations. To investigate the rates of preventable hospitalization after the passing of the Affordable Care Act in 2010 and Medicaid expansion in 2014 across 26 states, a population-based study was conducted using the Healthcare Cost and Utilization Project National Inpatient Sample database from 2005-2017.

Methods

A logistic regression and trend analysis was performed to assess the changes in preventable hospitalization rates over time and the impact of policy changes on the rate of preventable hospitalization. Individuals were included if they were aged between 18 and 64 years and had a preventable quality indicator International Classification of Diseases, Ninth or Tenth Revision code as determined by the Agency for Healthcare Research and Quality.

Results

More than 45 million preventable-hospitalization admissions were reported between 2005 and 2017. There was a significant decrease in preventable hospitalization rates after the passing of the Affordable Care Act from 12.0% to 10.8% (p<0.01) and from 11.5% to 10.6% (p<0.01) after Medicaid expansion. Bacterial pneumonia declined from 1.5% to 0.6% (p<0.01), along with chronic obstructive pulmonary disease and asthma in older adults from 1.9% to 1.7% (p=0.01) after the expansion.

Conclusions

States that have not implemented Medicaid expansion should make it a priority because it may lead to a reduction in preventable hospitalization rates. Furthermore, preventable hospitalization rates may be considered a quality measure to examine the accessibility and effectiveness of primary care intervention.

State Mandatory Paid Sick Leave Associated With A Decline In Emergency Department Use In The US, 2011-19

Paid sick leave provides workers with job-protected paid time off to address short-term illnesses or seek preventive care for themselves and their family members. We studied the impact of mandatory paid sick leave at the state level on emergency department (ED) visit rates, using all-payer, longitudinal ED data from the Healthcare Cost and Utilization Project for the period 2011-19. We found that state implementation of paid sick leave mandates was associated with a 5.6 percent reduction in the total ED visit rate relative to the baseline, equivalent to 23 fewer visits per 1,000 population per year. The reduction was concentrated in Medicaid patients. Some of the largest reductions were ED visits related to adult dental conditions, adult mental health or substance use disorders, and pediatric asthma. Mandatory paid sick leave may be an effective policy lever to reduce excess ED use and costs.

National Hospitalization Trends and the Role of Preventable Hospitalizations among Centenarians in the United States (2000-2009)

Increases in life expectancy mean that an unprecedented number of individuals are reaching centenarian status, often with complex health concerns. We analyzed nationally representative hospital admissions data (200-2009) from the National Inpatient Study (NIS) for 52,618 centenarians (aged 100-115 years, mean age 101.4). We predicted length of stay (LOS) via negative binomial models and total inflation adjusted costs via fixed effects regression analysis informed by descriptive data. We also identified hospitalizations due to ambulatory care-sensitive conditions defined by AHRQ Prevention Quality Indicators. Mean LOS decreased from 6.1 to 5.1 days, while over the same time period the mean total adjusted charges rose from USD 13,373 to USD 25,026 in 2009 dollars. Black, Hispanic, Asian, or other race centenarians had higher cost stays compared to White, but only Black and Hispanic centenarians had significantly greater mean length of stay. Comorbidities predicted greater length of stay and higher costs. Centenarians admitted on weekends had higher costs but shorter length of stay. In total, 29.4% of total costs were due to potentially preventable hospitalizations for total charges (2000-2009) of USD 341.8M in 2009 dollars. Centenarian hospitalizations cost significantly more than hospitalization for any other group of elderly in the U.S.

Exploration of Preventable Hospitalizations for Colorectal Cancer with the National Cancer Control Program in Taiwan

Background: Causing more than 40,000 deaths each year, cancer is one of the leading causes of mortality and preventable hospitalizations (PH) in Taiwan. To reduce the incidence and severity of cancer, the National Cancer Control Program (NCCP) includes screening for various types of cancer. A cohort study was conducted to explore the long-term trends in PH/person-years following NCCP intervention from 1997 to 2013. Methods: Trend analysis was carried out for long-term hospitalization. The Poisson regression model was used to compare PH/person-years before (1997–2004) and after intervention (2005–2013), and to explore the impact of policy intervention. Results: The policy response reduced 26% for the risk of hospitalization; in terms of comorbidity, each additional point increased the risk of hospitalization by 2.15 times. The risk of hospitalization doubled for each 10-year increase but was not statistically significant. Trend analysis validates changes in the number of hospitalizations/person-years in 2005. Conclusions: PH is adopted as an indicator for monitoring primary care quality, providing governments with a useful reference for which to gauge the adequacy, accessibility, and quality of health care. Differences in PH rates between rural and urban areas can also be used as a reference for achieving equitable distribution of medical resources.

Viewing the US presidential electoral map through the lens of public health

Health, disease, and mortality vary greatly at the county level, and there are strong geographical trends of disease in the United States. Healthcare is and has been a top priority for voters in the U.S., and an important political issue. Consequently, it is important to determine what relationship voting patterns have with health, disease, and mortality, as doing so may help guide appropriate policy. We performed a comprehensive analysis of the relationship between voting patterns and over 150 different public health and wellbeing variables at the county level, comparing all states, including counties in 2016 battleground states, and counties in states that flipped from majority Democrat to majority Republican from 2012 to 2016. We also investigated county-level health trends over the last 30+ years and find statistically significant relationships between a number of health measures and the voting patterns of counties in presidential elections. Collectively, these data exhibit a strong pattern: counties that voted Republican in the 2016 election had overall worse health outcomes than those that voted Democrat. We hope that this strong relationship can guide improvements in healthcare policy legislation at the county level.

Insurance expansions and hospital utilization: Relabeling and reabling?

The 2010 Patient Protection & Affordable Care Act (ACA) significantly expanded access to private and public health insurance for low-income individuals through income-based subsidies and income-based eligibility expansions, respectively. In this paper, we use the universe of hospitals from 2009 to 2015 to characterize how these expansions affected the financing of hospital visits, along with price, utilization, and potential spillovers in the quality of care. The insurance coverage expansions generated a shift in the composition of payers and a modest increase in the utilization of hospital outpatient services. While concerns have been raised that these shifts in utilization could cause negative spillovers to the already insured population (e.g., Medicare enrollees), we find no significant change in the quality of care experienced by those already insured. The primary result of both federally funded insurance expansions was to increase the profits generated and prices charged by the hospitals providing such services.

Medicaid Expansion's Impact on Human Immunodeficiency Virus Outcomes in a Nonurban Southeastern Ryan White HIV/AIDS Program Clinic

Background

Although the Ryan White HIV/AIDS Program supports high-quality human immunodeficiency virus (HIV) care, Medicaid enrollment provides access to non-HIV care. People with HIV (PWH) with Medicaid historically have low viral suppression (VS) rates. In a state with previously high Qualified Health Plan coverage of PWH, we examined HIV outcomes by insurance status during the first year of Medicaid expansion (ME).

Methods

Participants were PWH ages 18–63 who attended ≥1 HIV medical visit/year in 2018 and 2019. We estimated associations of sociodemographic characteristics with ME enrollment prevalence and associations between insurance status and engagement in care and VS.

Results

Among 577 patients, 151 (33%) were newly eligible for Medicaid, and 77 (51%) enrolled. Medicaid enrollment was higher for those with incomes <100% federal poverty level (adjusted prevalence ratio, 1.67; 95% confidence interval [CI], 1.00–1.86) compared with others. Controlling for age, income, and 2018 engagement, those with employment-based private insurance (adjusted risk difference [aRD], −8.5%; 95% CI, −16.9 to 0.1) and Medicare (aRD, −12.5%; 95% CI, −21.2 to −3.0) had lower 2019 engagement than others. For those with VS data (n = 548), after controlling for age and baseline VS, those with Medicaid (aRD, −4.0%; 95% CI, −10.3 to 0.3) and with Medicaid due to ME (aRD, −6.2%; 95% CI, −14.1 to −0.8) were less likely to achieve VS compared with others.

Conclusions

Given that PWH who newly enrolled in Medicaid had high engagement in care, the finding of lower VS is notable. The discordance may be due to medication access gaps associated with changes in medication procurement logistics.

The Effect of Medicaid Expansion on Caregiver's Quality of Life

Medicaid expansion has been shown to improve access to care, health, and finances in general populations. Until now no studies have considered how Medicaid expansion may affect informal family caregivers who are the backbone of the long term supports and services infrastructure. Family caregivers provide substantial cost savings to Medicare and Medicaid. Yet, they sustain financial, physical, and mental health strain from their caregiving role which Medicaid expansion may offset. This study evaluated the impact of Medicaid expansion on caregivers' mental health using 2015-2018 data from the Behavioral Risk Factor Surveillance System. After adjusting for demographics, socioeconomic status, and health behaviors, caregivers in Medicaid expansion states had a significantly fewer number of poor mental health days in the previous month than caregivers in non-expansion states (ß = -0.528, CI -1.019, -0.036, p < .01). Study findings indicate that Medicaid expansion state status was protective for caregiver's mental health.