Association of Medicaid Expansion With Emergency Department Visits by Medical Urgency

Medicaid Expansion, Uninsurance Rates, and Catastrophic Costs at the Time of Emergency Gynecologic Surgery

OBJECTIVE

To estimate the effect of Medicaid expansion on uninsurance rates and catastrophic charges from emergency surgical management of ectopic pregnancy and ovarian torsion using difference-in-difference analysis and to evaluate for racial and ethnic disparities.

METHODS

We conducted a retrospective cohort analysis using 2012-2018 State Inpatient Data and State Ambulatory Surgery and Services Databases in four states: Kentucky and Maryland (expansion) and Florida and North Carolina (nonexpansion). Patients undergoing surgical management of ovarian torsion or ectopic pregnancy were included. Logistic regression models were used controlling for year and expansion type; a difference-in-difference treatment indicator was used to evaluate changes in uninsurance rates and catastrophic spending (hospital charges more than 10% of estimated annual median income) among those uninsured. We then examined race and ethnicity for those uninsured before and after expansion by state.

RESULTS

A total of 594,116 patients were included. Before expansion, the percent of patients uninsured was higher in nonexpansion states (6.5%) compared with expansion states (5.1%). After expansion, the percent uninsured decreased from 5.1% to 2.4% in expansion states compared with 6.5% to 5.3% in nonexpansion states. The interaction between expansion year and Medicaid expansion status was significant ( P <.001). Pre-expansion percent catastrophic charges among uninsured patients were higher in nonexpansion states compared with expansion states (96.7% vs 85.7%). After expansion, the percent catastrophic financial burden remained higher at 96.9% in nonexpansion states compared with 82.5% in expansion states. The interaction between expansion year and Medicaid expansion status was significant ( P <.001). The uninsured gap between Black or African American and White patients in expansion states after expansion was 0.5%-relatively unchanged-compared with 11.6% for Hispanic and non-Hispanic patients, an increase from 8.3% before expansion.

CONCLUSION

Medicaid expansion was associated with reductions in uninsured hospitalizations and catastrophic charges after gynecologic surgical emergencies and was associated with differences between Hispanic and non-Hispanic patients.

Pediatric Patients with Intracranial Arteriovenous Malformations: Trends in Emergency Room Presentation

BACKGROUND

Pediatric intracranial arteriovenous malformation (AVM) patients are commonly admitted to the emergency room (ER). Increasing patient utilization of the ER has been associated with healthcare disparities and a trend of decreased efficiency. The aim of this study was to evaluate the trends of pediatric AVM ER admissions over recent years and identify factors associated with health care resource utilization and outcomes.

METHODS

The 2016-2019 National Inpatient Sample was queried for patients under the age of 18 admitted with AVM. Cases of admission through the ER were identified. Demographic and severity factors associated with ER admission were explored using comparative and regression statistics.

RESULTS

Of 3875 pediatric patients with AVM admitted between 2016 and 2019, 1280 (33.0%) were admitted via the ER. Patients admitted via the ER were more likely to be in the lowest median income category (P < 0.001), on Medicaid insurance (P = 0.008), or in the South (P < 0.001) than patients admitted otherwise. There was increased severity and increased rates of intracranial hemorrhage (ICH) in patients admitted via the ER (P < 0.001). Finally, there were increasing trends in ER admissions and ICH throughout the years.

CONCLUSIONS

ER admission of pediatric AVM patients with ICH is increasing and is associated with a distinct socioeconomic profile and increased healthcare resource utilization. These findings may reflect decreased access to more advanced diagnostic modalities, primary care, and other important resources. Identifying populations with barriers to care is likely an important component of policy aimed at decreasing the risk of severe disease presentation.

Medicaid Expansion and Preventable Emergency Department Use by Race/Ethnicity

INTRODUCTION

This study aimed to examine changes in emergency department (ED) visits for ambulatory care sensitive conditions (ACSCs) among uninsured or Medicaid-covered Black, Hispanic, and White adults aged 26-64 in the first 5 years of the Affordable Care Act Medicaid expansion.

METHODS

Using 2010-2018 inpatient and ED discharge data from nine expansion and five nonexpansion states, an event study difference-in-differences regression model was used to estimate changes in number of annual ACSC ED visits per 100 adults ("ACSC ED rate") associated with the 2014 Medicaid expansion, overall and by race/ethnicity. A secondary outcome was the proportion of ACSC ED visits out of all ED visits ("ACSC ED share"). Analyses were conducted in 2022-2023.

RESULTS

Medicaid expansion was associated with no change in ACSC ED rates among all, Black, Hispanic, or White adults. When excluding California, where most counties expanded Medicaid before 2014, expansion was associated with a decrease in ACSC ED rate among all, Black, Hispanic, and White adults. Expansion was also associated with a decrease in ACSC ED share among all, Black, and White adults. White adults experienced the largest reductions in ACSC ED rate and share.

CONCLUSIONS

Medicaid expansion was associated with reductions in ACSC ED rates in some expansion states and reductions in ACSC ED share in all expansion states combined, with some heterogeneity by race/ethnicity. Expansion should be coupled with policy efforts to better link newly insured Black and Hispanic patients to non-ED outpatient care, alongside targeted outreach and expanded primary care capacity, which may reduce disparities in ACSC ED visits.

The Impact of Social Determinants of Health on Transition From Pediatric to Adult Cardiology Care

Social determinants of health (SDoH) are the economic, social, environmental, and psychosocial factors that influence health. Adolescents and young adults with congenital heart disease (CHD) require lifelong cardiology follow-up and therefore coordinated transition from pediatric to adult healthcare systems. However, gaps in care are common during transition, and they are driven in part by pervasive disparities in SDoH, including race, ethnicity, socioeconomic status, access to insurance, and remote location of residence. These disparities often coexist and compound the challenges faced by patients and families. For example, Black and Indigenous individuals are more likely to be subject to systemic racism and implicit bias within healthcare and other settings, to be unemployed and poor, to have limited access to insurance, and to have a lower likelihood of transfer of care to adult CHD specialists. SDoH also are associated with acquired cardiovascular disease, a comorbidity that adults with CHD face. This review summarizes existing evidence regarding the impact of SDoH on the transition to adult care and proposes strategies at the individual, institutional, and population and/or system levels. to reduce inequities faced by transition-age youth. These strategies include routinely screening for SDoH in clinical settings with referral to appropriate services, providing formal transition education for all transition-age youth, including training on navigating complex medical systems, creating satellite cardiology clinics to facilitate access to care for those who live remote from tertiary centres, advocating for lifelong insurance coverage where applicable, mandating cultural-sensitivity training for providers, and increasing the diversity of healthcare providers in pediatric and adult CHD care.

Prediction of non emergent acute care utilization and cost among patients receiving Medicaid

Patients receiving Medicaid often experience social risk factors for poor health and limited access to primary care, leading to high utilization of emergency departments and hospitals (acute care) for non-emergent conditions. As programs proactively outreach Medicaid patients to offer primary care, they rely on risk models historically limited by poor-quality data. Following initiatives to improve data quality and collect data on social risk, we tested alternative widely-debated strategies to improve Medicaid risk models. Among a sample of 10 million patients receiving Medicaid from 26 states and Washington DC, the best-performing model tripled the probability of prospectively identifying at-risk patients versus a standard model (sensitivity 11.3% [95% CI 10.5, 12.1%] vs 3.4% [95% CI 3.0, 4.0%]), without increasing "false positives" that reduce efficiency of outreach (specificity 99.8% [95% CI 99.6, 99.9%] vs 99.5% [95% CI 99.4, 99.7%]), and with a ~ tenfold improved coefficient of determination when predicting costs (R2: 0.195-0.412 among population subgroups vs 0.022-0.050). Our best-performing model also reversed the lower sensitivity of risk prediction for Black versus White patients, a bias present in the standard cost-based model. Our results demonstrate a modeling approach to substantially improve risk prediction performance and equity for patients receiving Medicaid.

Concordance in Medical Urgency Classification of Discharge Diagnoses and Reasons for Visit

Importance

Current policies to divert emergency department (ED) visits for less medically urgent conditions to more cost-effective settings rely on retrospective adjudication of discharge diagnoses. However, patients present to the ED with concerns, making it challenging for clinicians.

Objective

To characterize ED visits based on the medical urgency of the presenting reasons for visit and to explore the concordance between discharge diagnoses and reasons for visit.

Design, Setting, and Participants

In this retrospective, cross-sectional study, a nationwide sample of ED visits by adults (aged ≥18 years) in the US from the 2018 and 2019 calendar years' ED data of the National Hospital Ambulatory Medical Care Survey was used. An algorithm to probabilistically assign ED visits into medical urgency categories based on the presenting reason for visit was developed. A 3-step, look-back method was applied using an updated version of the New York University ED algorithm, and a map of all possible discharge diagnoses to the same reasons for visit was developed. Analyses were conducted in July and August 2023.

Main Outcomes and Measures

The main outcome was probabilistic medical urgency classification of reasons for visits and discharge diagnoses and their concordance.

Results

We analyzed 27 068 ED visits (mean age, 48.2% years [95% CI, 47.5%-48.9% years]) representing 190.7 million visits nationwide. Women (mean, 57.0% [95% CI, 55.9%-58.1%]) and patients with public health insurance coverage, including Medicare (mean, 24.9% [95% CI, 21.9%-28.0%]) and Medicaid (mean, 25.1% [95% CI, 21.0%-29.2%]), accounted for the largest share of ED visits, and a mean of 13.2% (95% CI, 11.4%-15.0%) of all visits resulted in a hospital admission. Overall, about 38.5% and 53.9% of all ED visits were classified with 100% and 75% probabilities, respectively, as injury related, emergency care needed, emergent but primary care treatable, nonemergent, or mental health or substance use disorders related based on discharge diagnosis compared with 0.4% and 12.4%, respectively, of all encounters based on patients' reason for visit. Among discharge diagnoses assigned with high certainty to only 1 urgency category using the New York University ED algorithm, between 38.0% (95% CI, 36.3%-39.6%) and 57.4% (95% CI, 56.0%-58.8%) aligned with the probabilistic categorical assignments of their corresponding reasons for visit.

Conclusions and Relevance

In this cross-sectional study of 190.7 million ED visits among adults aged 18 years or older, a smaller percentage of reasons for visit could be prospectively categorized with high accuracy to a specific medical urgency category compared with all visits based on discharge diagnoses, and a limited concordance between reasons for visit and discharge diagnoses was found. Alternative methods are needed to identify the medical necessity of ED encounters more accurately.

Is the emergency department used as a substitute or a complement to primary care in Medicaid?

Policies to decrease low-acuity emergency department (ED) use have traditionally assumed that EDs are a substitute for unavailable primary care (PC). However, such policies can exacerbate ED overcrowding, rather than ameliorate it, if patients use EDs to complement, rather than substitute, their PC use. We tested whether Medicaid managed care enrolees visit the ED for nonemergent and PC treatable conditions to substitute for or to complement PC. Based on consumer choice theory, we modelled county-level monthly ED visit rate as a function of PC supply and used 2012-2015 New York Statewide Planning and Research Cooperative System (SPARCS) outpatient data and non-linear least squares method to test substitution vs complementarity. In the post-Medicaid expansion period (2014-2015), ED and PC are substitutes state-wide, but are complements in highly urban and poorer counties during nights and weekends. There is no evidence of complementarity before the expansion (2012-2013). Analyses by PC provider demonstrate that the relationship between ED and PC differs depending on whether PC is provided by physicians or advanced practice providers. Policies to reduce low-acuity ED use via improved PC access in Medicaid are likely to be most effective if they focus on increasing actual appointment availability, ideally by physicians, in areas with low PC provider supply. Different aspects of PC access may be differently related to low-acuity ED use.

Changes in emergency department use associated with Medicaid expansion under the Affordable Care Act: A comparison of waiver and traditional expansion states

Objective

To determine whether changes in emergency department use associated with Medicaid expansions differed between states undergoing waiver and traditional expansions.

Methods

Design: This study was a cross-sectional difference-in-difference and event studies of Medicaid Expansion among states that expanded during or after 2014. Setting: We used a nationally representative cross-sectional survey from all 50 United States and the District of Columbia from 2010 to 2016. Participants: Adults aged 19-65 years with incomes <138% of the federal poverty level were included. Main Outcomes and Measures: Main outcomes were self-reported emergency department (ED) utilization in the last 12 months.

Results

Individuals in states across all expansion types were not more likely to report any ED use in the previous year (2.8 percentage point increase [0.0-5.5], P = 0.052) but were more likely to report visiting an ED 2 times or more in the previous year (2.0 [0.0-4.1], P = 0.049) than those in non-expansion states. Individuals in states undergoing traditional expansions likewise were not more likely to report any ED use (2.2 [-0.7 to 1.5], P = 0.136) but were more likely to report visiting an ED 2 times or more in the previous year (2.3 [0.1-4.4], P = 0.038). Conversely, individuals in waiver states were more likely to report increase in any ED use (5.6 [0.3-11.0], P = 0.038), but were not more likely to report use of EDs 2 times or more in the previous year (0.8 [-3.2-4.9], P = 0.688). The differences between traditional and waiver states in any ED use and ED use 2 times or more in the previous 12 months were not statistically significant (P = 0.215 and P = 0.501, respectively).

Conclusions

Three years after expanding Medicaid under the Affordable Care Act, there is little evidence of differences between traditional and waiver expansion states in changes in any ED use or intensive ED use. Future studies should investigate longer term changes in ED use.

Association of the affordable care act with racial and ethnic disparities in uninsured emergency department utilization

BACKGROUND

Disparities in uninsured emergency department (ED) use are well documented. However, a comprehensive analysis evaluating how the Affordable Care Act (ACA) may have reduced racial and ethnic disparities is lacking. The goal was to assess the association of the ACA with racial and ethnic disparities in uninsured ED use.

METHODS

This study used data from the Healthcare Cost and Utilization Project (HCUP) State Emergency Department Databases (SEDD) for Georgia, Florida, Massachusetts, and New York from 2011 to 2017. Participants include non-elderly adults between 18 and 64 years old. Outcomes include uninsured rates of ED visits by racial and ethnic groups and stratified by medical urgency using the New York University ED algorithm. Visits were aggregated to year-quarter ED visits per 100,000 population and stratified for non-Hispanic White, non-Hispanic Black, and Hispanic non-elderly adults. Quasi-experimental difference-in-differences and triple differences regression analyses to identify the effect of the ACA and the separate effect of the Medicaid expansion were used comparing uninsured ED visits by race and ethnicity groups pre-post ACA.

RESULTS

The ACA was associated with a 14% reduction in the rate of uninsured ED visits per 100,000 population (from 10,258 pre-ACA to 8,877 ED visits per 100,000 population post-ACA) overall. The non-Hispanic Black compared to non-Hispanic White disparity decreased by 12.4% (-275.1 ED visits per 100,000) post-ACA. About 60% of the decline in the Black-White disparity was attributed to disproportionate declines in ED visit rates for conditions classified as not-emergent (-93.2 ED visits per 100,000), and primary care treatable/preventable (-64.1 ED visits per 100,000), while the disparity in ED visit rates for injuries and not preventable conditions also declined (-106.57 ED visits per 100,000). All reductions in disparities were driven by the Medicaid expansion. No significant decrease in Hispanic-White disparity was observed.

CONCLUSIONS

The ACA was associated with fewer uninsured ED visits and reduced the Black-White ED disparity, driven mostly by a reduction in less emergent ED visits after the ACA in Medicaid expansion states. Disparities between Hispanic and non-Hispanic White adults did not decline after the ACA. Despite the positive momentum of declining disparities in uninsured ED visits, disparities, especially among Black people, remain.

The impact of Medicaid expansion on mental health and substance use related inpatient visits

OBJECTIVE

Under the Affordable Care Act, many states expanded their Medicaid eligibility, allowing individuals living at or below 138% of the Federal Poverty Level to receive insurance coverage. As a result, forty states and the District of Columbia have expanded Medicaid to date. Although Medicaid expansion is expected to increase access to care in general, it is not evident if it has helped increase access to mental health and substance use-related healthcare, especially in inpatient settings. Therefore, this study examines the impact of Medicaid expansion on mental health and substance use- (MHSU) related inpatient visits and the variation in payer mix.

METHODS

This study utilizes state-level quarterly inpatient visit data from the Healthcare Cost and Utilization Project's Fast Stats Database from 2005 to 2019 and performs difference-in-differences regression analyses to compare MHSU-related inpatient visit data in expansion and non-expansion states for all visits and by payer. Analyses controlled for state-level socio-demographic and health policy variables.

RESULTS

Findings indicate that Medicaid expansion did not significantly affect overall MHSU-related inpatient visits. However, Medicaid expansion was associated with 22.74% increase (P < 0.01; 95% CI: 17.76, 27.71) in the Medicaid share of MHSU-related inpatient visits, 18.31% reduction (P < 0.01; 95% CI: -22.54, -14.09) in the uninsured share of MHSU-related inpatient visits, and 4.42% reduction (P < 0.05; 95% CI: -7.83, -1.01) in the privately insured share of MHSU-related inpatient visits in expansion states compared with non-expansion states.

CONCLUSIONS

Findings show that Medicaid expansion significantly affects the payer mix associated with MHSU-related inpatient visits while it has no significant impact on the overall MHSU-related inpatient visits.

Racial Disparities in Pediatric Inflammatory Bowel Disease Care: Differences in Outcomes and Health Service Utilization Between Black and White Children

OBJECTIVE

To describe racial inequities in pediatric inflammatory bowel disease care and explore potential drivers.

METHODS

We undertook a single-center, comparative cohort study of newly diagnosed Black and non-Hispanic White patients with inflammatory bowel disease, aged <21 years, from January 2013 through 2020. Primary outcome was corticosteroid-free remission (CSFR) at 1 year. Other longitudinal outcomes included sustained CSFR, time to anti-tumor necrosis factor therapy, and evaluation of health service utilization.

RESULTS

Among 519 children (89% White, 11% Black), 73% presented with Crohn's disease and 27% with ulcerative colitis. Disease phenotype did not differ by race. More patients from Black families had public insurance (58% vs 30%, P < .001). Black patients were less likely to achieve CSFR 1-year post diagnosis (OR: 0.52, 95% CI:0.3-0.9) and less likely to achieve sustained CSFR (OR: 0.48, 95% CI: 0.25-0.92). When adjusted by insurance type, differences by race to 1-year CSFR were no longer significant (aOR: 0.58; 95% CI: 0.33, 1.04; P = .07). Black patients were more likely to transition from remission to a worsened state, and less likely to transition to remission. We found no differences in biologic therapy utilization or surgical outcomes by race. Black patients had fewer gastroenterology clinic visits and 2-fold increased odds for emergency department visits.

CONCLUSIONS

We observed no differences by race in phenotypic presentation and medication usage. Black patients had half the odds of achieving clinical remission, but a degree of this was mediated by insurance status. Understanding the cause of such differences will require further exploration of social determinants of health.

Association of Medicaid expansion with dental emergency department visits overall and by states' Medicaid dental benefits provision

BACKGROUND

Evidence on the association of Medicaid expansion with dental emergency department (ED) utilization is limited, while even less is known on policy-related changes in dental ED visits by Medicaid programs' dental benefits generosity. The objective of this study was to estimate the association of Medicaid expansion with changes in dental ED visits overall and by states' benefits generosity.

METHODS

We used the Healthcare Cost and Utilization Project's Fast Stats Database from 2010 to 2015 for non-elderly adults (19 to 64 years of age) across 23 States, 11 of which expanded Medicaid in January 2014 while 12 did not. Difference-in-differences regression models were used to estimate changes in dental-related ED visits overall and further stratified by states' dental benefit coverage in Medicaid between expansion and non-expansion States.

RESULTS

After 2014, dental ED visits declined by 10.9 [95% confidence intervals (CI): -18.5 to -3.4] visits per 100,000 population quarterly in states that expanded Medicaid compared to non-expansion states. However, the overall decline was concentrated in Medicaid expansion states with dental benefits. In particular, among expansion states, dental ED visits per 100,000 population declined by 11.4 visits (95% CI: -17.9 to -4.9) quarterly in states with dental benefits in Medicaid compared to states with emergency-only or no dental benefits. Significant differences between non-expansion states by Medicaid's dental benefits generosity were not observed [6.3 visits (95% CI: -22.3 to 34.9)].

CONCLUSIONS

Our findings suggest the need to strengthen public health insurance programs with more generous dental benefits to curtail costly dental ED visits.

Evaluation of the association between health insurance status and healthcare utilization and expenditures among adult cancer survivors in the United States

BACKGROUND

Health care expenditures for cancer care has increased significantly over the past decade and is further projected to rise. This study examined the associations between health insurance status and total direct health care expenditures and health care utilization among cancer survivors living in the United States.

METHODS

A cross-sectional study of cancer survivors aged ≥18 years, identified from the Medical Expenditures Panel Survey (MEPS) during 2017 using International Classification of Diseases, Tenth Revision codes specific for cancer. Health insurance was categorized into Private, Medicare, Medicaid, and uninsured. Multivariable ordinary least squares regression was used to examine the association between log expenditures and health insurance. Negative binomial regression with log link was used to obtain adjusted incident rate ratios (AIRR) for health care utilization. Survey weights were used to produce nationally representative estimates of the US population.

RESULTS

A total of 1140 (weighted = 13.9 million) cancer survivors were identified. Compared to the adjusted mean annual health care expenditures for the private group ($14,265; 95% confidence interval (CI): $12,645 to $16,092), the adjusted mean annual health care expenditures for the Medicare group were higher ($15,112; 95%CI: $13,361 to $17,092). As compared to the private group, the average annual expenditures for uninsured cancer survivors ($2315; 95%CI:1038 to $3501) was significantly lower and so was their health care utilization. Adjusted rates of ER visits for Medicaid were twice (AIRR:2.04; SE:0.28; p = 0.001) as compared to privately insured.

CONCLUSIONS

A difference in the average total direct expenditures between uninsured and privately insured patients was found. Uninsured had the lowest health care utilization while Medicaid reported significantly higher number of ER visits. Despite differences in program structures, health care expenditures across insurance types were similar. Lower utilization of health care services among uninsured suggests cost maybe a barrier to accessing care.

Hospitalization Risk Associated With Emergency Department Reasons for Visit and Patient Age: A Retrospective Evaluation of National Emergency Department Survey Data to Help Identify Potentially Avoidable Emergency Department Visits

Background

Patients often present to emergency departments (EDs) with concerns that do not require emergency care. Self-triage and other interventions may help some patients decide whether they should be seen in the ED. Symptoms associated with low risk of hospitalization can be identified in national ED data and can inform the design of interventions to reduce avoidable ED visits.

Methods

We used the National Hospital Ambulatory Medical Care Survey (NHAMCS) data from the United States National Health Care Statistics (NHCS) division of the Centers for Disease Control and Prevention (CDC). The ED datasets from 2011 through 2020 were combined. Primary reasons for ED visit and the binary field for hospital admission from the ED were used to estimate the proportion of ED patients admitted to the hospital for each reason for visit and age category.

Results

There were 221,027 surveyed ED visits during the 10-year data collection with 736 different primary reasons for visit and 23,228 hospitalizations. There were 145 million estimated hospitalizations from 1.37 billion estimated ED visits (10.6%). Inclusion criteria for this study were reasons for visit which had at least 30 ED visits in the sample; there were 396 separate reasons for visit which met this criteria. Of these 396 reasons for visit, 97 had admission percentages less than 2% and another 52 had hospital admissions estimated between 2% and 4%. However, there was a significant increase in hospitalizations within many of the ED reasons for visit in older adults.

Conclusion

Reasons for visit from national ED data can be ranked by hospitalization risk. Low-risk symptoms may help healthcare institutions identify potentially avoidable ED visits. Healthcare systems can use this information to help manage potentially avoidable ED visits with interventions designed to apply to their patient population and healthcare access.