Medicaid expansion and variability in mortality in the USA: a national, observational cohort study

The uneven impact of Medicaid expansion on rural and urban Black, Latino/a, and White mortality

PURPOSE

To determine the differential impact of Medicaid expansion on all-cause mortality between Black, Latino/a, and White populations in rural and urban areas, and assess how expansion impacted mortality disparities between these groups.

METHODS

We employ a county-level time-varying heterogenous treatment effects difference-in-difference analysis of Medicaid expansion on all-cause age-adjusted mortality for those 64 years of age or younger from 2009 to 2019. For all counties within the 50 US States and the District of Columbia, we use restricted-access vital statistics data to estimate Average Treatment Effect on the Treated (ATET) for all combinations of racial and ethnic group (Black, Latino/a, White), rurality (rural, urban), and sex. We then assess aggregate ATET, as well as how the ATET changed as time from expansion increased.

FINDINGS

Medicaid expansion led to a reduction in all-cause age-adjusted mortality for urban Black populations, but not rural Black populations. Urban White populations experienced mixed effects dependent on years after expansion. Latino/a populations saw no appreciable impact. While no effect was observed for rural Black and Latino/a populations, rural White all-cause age-adjusted mortality unexpectedly increased due to Medicaid expansion. These effects reduced rural- and urban-specific Black-White mortality disparities but did not shrink the rural-urban mortality gap.

CONCLUSIONS

The mortality-reducing impact of Medicaid expansion has been uneven across racial and ethnic groups and rural-urban status; suggesting that many populations-particularly rural individuals-are not seeing the same benefits as others. It is imperative that states work to ensure Medicaid expansion is being appropriately implemented in rural areas.

Explicit inference: A meta-replication of SEER cancer registry research evaluating the Affordable Care Act's Medicaid expansion

OBJECTIVES

Among the provisions within the Affordable Care Act (ACA), expanding Medicaid was arguably the greatest contributor to increasing access to care. For over a decade, researchers have investigated how Medicaid expansion impacted cancer outcomes. Over this same decade, statistical theory illuminated how state-based policy research could be compromised by invalid inference. After reviewing the literature to identify the inference strategies of state-based cancer registry Medicaid expansion research, this study aimed to assess how inference decisions could change the interpretation of Medicaid expansion's impact on staging, treatment, and mortality in cancer patients.

DATA SOURCES

Cancer case data (2000-2019) was obtained from the Surveillance, Epidemiology, End Results (SEER) programme. Cases included all cancer sites combined, top 10 cancer sites combined, and three screening amenable cancers (colorectal, female breast, female cervical).

STUDY DESIGN

A Difference-in-Differences design estimated the association between Medicaid expansion and four binary outcomes: distant stage, initiating treatment >1 month after diagnosis, no surgery recommendation, and death. Three inference techniques were compared: (1) traditional, (2) cluster, and (3) Wild Cluster Bootstrap.

DATA COLLECTION

Data was accessed via SEER*Stat.

PRINCIPAL FINDINGS

Estimating standard errors via traditional inference would suggest that Medicaid expansion was associated with delayed treatment initiation and surgery recommendations. Traditional and clustered inference also suggested that Medicaid expansion reduced mortality. Inference using Wild Cluster Bootstrap techniques never rejected the null hypotheses.

CONCLUSIONS

This study reiterates the importance of explicit inference. Future state-based, cancer policy research can be improved by incorporating emerging techniques. These findings warrant caution when interpreting prior SEER research reporting significant effects of Medicaid expansion on cancer outcomes, especially studies that did not explicitly define their inference strategy.

Ending the HIV Epidemic in Metropolitan Atlanta: a mixed-methods study to support the local HIV/AIDS response

INTRODUCTION

Four counties within the Atlanta, Georgia 20-county eligible metropolitan area (EMA) are currently prioritized by the US "Ending the HIV Epidemic" (EHE) initiative which aims for a 90% reduction in HIV incidence by 2030. Disparities driving Atlanta's HIV epidemic warrant an examination of local service availability, unmet needs and organizational capacity to reach EHE targets. We conducted a mixed-methods evaluation of the Atlanta EMA to examine geographic HIV epidemiology and distribution of services, service needs and organization infrastructure for each pillar of the EHE initiative.

METHODS

We collected 2021 county-level data (during June 2022), from multiple sources including: AIDSVu (HIV prevalence and new diagnoses), the Centers for Disease Control and Prevention web-based tools (HIV testing and pre-exposure prophylaxis [PrEP] locations) and the Georgia Department of Public Health (HIV testing, PrEP screenings, viral suppression and partner service interviews). We additionally distributed an online survey to key local stakeholders working at major HIV care agencies across the EMA to assess the availability of services, unmet needs and organization infrastructure (June-December 2022). The Organizational Readiness for Implementing Change questionnaire assessed the organization climate for services in need of scale-up or implementation.

RESULTS

We found racial/ethnic and geographic disparities in HIV disease burden and service availability across the EMA-particularly for HIV testing and PrEP in the EMA's southern counties. Five counties not currently prioritized by EHE (Clayton, Douglas, Henry, Newton and Rockdale) accounted for 16% of the EMA's new diagnoses, but <9% of its 177 testing sites and <7% of its 130 PrEP sites. Survey respondents (N = 48; 42% health agency managers/directors) reported high unmet need for HIV self-testing kits, mobile clinic testing, HIV case management, peer outreach and navigation, integrated care, housing support and transportation services. Respondents highlighted insufficient existing staffing and infrastructure to facilitate the necessary expansion of services, and the need to reduce inequities and address intersectional stigma.

CONCLUSIONS

Service delivery across all EHE pillars must substantially expand to reach national goals and address HIV disparities in metro Atlanta. High-resolution geographic data on HIV epidemiology and service delivery with community input can provide targeted guidance to support local EHE efforts.

Adopting a nurse-led model of care to advance whole-person health and health equity within Medicaid

BACKGROUND

Medicaid payment reforms and delivery model innovations are needed to fully transform U.S. healthcare structuring and provision.

PURPOSE

To synthesize nurse-led models of care and their implications for improving health care access, quality, and reducing costs for Medicaid recipients.

METHODS

A critical review of the literature regarding nurse-led models and implications for addressing social determinants of health (SDOH), adopting population health approaches, managing complex care, and integrating behavioral and physical health care within Medicaid.

DISCUSSION

Three interrelated findings emerged (a) investing in dynamic nurse-led models is important for mitigating SDOH and adopting value-based care, (b) regulations preventing nurses from practicing at the fullest extent of their training and licensure limit clinical impact and value, and (c) directed payments can establish value-based expectations for Medicaid managed care.

CONCLUSION

Adoption of a nurse-led model of care has the potential to advance the goals of reducing inequity and promoting whole-person health within Medicaid and nationally.

Associations of Medical Debt With Health Status, Premature Death, and Mortality in the US

Importance

Medical debt is increasingly common in the US. Little is known regarding its association with population health.

Objective

To examine the associations of medical debt with health status, premature death, and mortality at the county level in the US.

Design, Setting, and Participants

This cross-sectional study was conducted at the US county level using 2018 medical debt data from the Urban Institute Debt in America project linked with 2018 data on self-reported health status and premature death from the County Health Rankings & Roadmaps and with 2015 to 2019 mortality data from the National Center for Health Statistics. Data analysis was performed from August 2022 to May 2023.

Exposure

Share of population with any medical debt in collections and median amount of medical debt.

Main Outcomes and Measures

Health status was measured as (1) the mean number of physically and mentally unhealthy days in the past 30 days per 1000 people, (2) the mean number of premature deaths measured as years of life lost before age 75 years per 1000 people, and (3) age-adjusted all-cause and 18 cause-specific mortality rates (eg, malignant cancers, heart disease, and suicide) per 100 000 person-years. Multivariable linear models were fitted to estimate the associations between medical debt and health outcomes.

Results

A total of 2943 counties were included in this analysis. The median percentage of the county population aged 65 years or older was 18.3% (IQR, 15.8%-20.9%). Across counties, a median 3.0% (IQR, 1.2%-11.9%) of the population were Black residents, 4.3% (IQR, 2.3%-9.7%) were Hispanic residents, and 84.5% (IQR, 65.7%-93.3%) were White residents. On average, 19.8% (range, 0%-53.6%) of the population had medical debt. After adjusting for county-level sociodemographic characteristics, a 1-percentage point increase in the population with medical debt was associated with 18.3 (95% CI, 16.3-20.2) more physically unhealthy days and 17.9 (95% CI, 16.1-19.8) more mentally unhealthy days per 1000 people during the past month, 1.12 (95% CI, 1.03-1.21) years of life lost per 1000 people, and an increase of 7.51 (95% CI, 6.99-8.04) per 100 000 person-years in age-adjusted all-cause mortality rate. Associations of medical debt and elevated mortality rates were consistent for all leading causes of death, including cancer (1.12 [95% CI, 1.02-1.22]), heart disease (1.39 [95% CI, 1.21-1.57]), and suicide (0.09 [95% CI, 0.06-0.11]) per 100 000 person-years. Similar patterns were observed for associations between the median amount of medical debt and the aforementioned health outcomes.

Conclusions and Relevance

These findings suggest that medical debt is associated with worse health status, more premature deaths, and higher mortality rates at the county level in the US. Therefore, policies increasing access to affordable health care, such as expanding health insurance coverage, may improve population health.

Evaluating the effects of the 2017 National Health Insurance coverage expansion on amenable mortality and its disparities between areas in South Korea using Bayesian structural time-series models

To improve the low coverage rate of the National Health Insurance (NHI), South Korea implemented the NHI coverage expansion plan in 2017 to cover medically essential non-covered services and reduce copayment rates. This study aimed to estimate the effects of the 2017 NHI coverage expansion on amenable mortality and its disparities between areas in South Korea under a controlled interrupted time-series design using Bayesian structural time-series models. Age-standardized amenable mortality rates and rate differences (RDs) and rate ratios (RRs) between areas for amenable mortality were calculated monthly between July 2012 and December 2021 and used as the response series. The non-equivalent control series were monthly non-avoidable mortality rates and their regional disparities. After the coverage expansion, amenable mortality rates decreased for both males (-8.8%, 95% credible interval [CrI] -13.4% to -3.9%) and females (-8.3%, 95% CrI -13.4% to -2.4%), with the largest decline in the non-Seoul-Capital metropolitan area (-11.6%, 95% CrI -16.5% to -6.3%) rather than the Seoul Capital Area (-7.5%, 95% CrI -11.9% to -2.5%) and a non-significant reduction in the non-Seoul-Capital non-metropolitan area in females. RDs and RRs between areas for amenable mortality decreased non-significantly (-16.2%, 95% CrI -31.3% to 2.6% for RD and -1.2%, 95% CrI -3.7% to 1.5% for RR), except for a significant decrease in RD in males (-21.8%, 95% CrI -38.0% to -1.5%), and decreased less in females than in males. The coverage expansion was generally effective in reducing amenable mortality rates by area, but had limited effects in closing amenable mortality disparities between areas, favoring males and the non-Seoul-Capital metropolitan area. These results implied that additional measures are necessary to improve access to quality health care for females and underserved areas to enhance the effectiveness of the coverage expansion.

Critical examination of resilience and resistance in African American families: Adaptive capacities to navigate toxic oppressive upstream waters

African American families navigate not only everyday stressors and adversities but also unique sociocultural stressors (e.g., "toxic upstream waters" like oppression). These adverse conditions are consequences of the historical vestiges of slavery and Jim Crow laws, often manifested as inequities in wealth, housing, wages, employment, access to healthcare, and quality education. Despite these challenges, African American families have developed resilience using strength-based adaptive coping strategies, to some extent, to filter these waters. To advance the field of resilience research, we focused on the following questions: (1) what constitutes positive responses to adversity?; (2) how is resilience defined conceptually and measured operationally?; (3) how has the field of resilience evolved?; (4) who defines what, when, and how responses are manifestations of resilience, instead of, for example, resistance? How can resistance, which at times leads to positive adaptations, be incorporated into the study of resilience?; and (5) are there case examples that demonstrate ways to address structural oppression and the pernicious effects of racism through system-level interventions, thereby changing environmental situations that sustain toxic waters requiring acts of resilience to survive and thrive? We end by exploring how a re-conceptualization of resilience requires a paradigm shift and new methodological approaches to understand ways in which preventive interventions move beyond focusing on families' capacity to navigate oppression and target systems and structures that maintain these toxic waters.

Racial disparities in utilization of first-generation versus second-generation long-acting injectable antipsychotics in Medicaid beneficiaries with schizophrenia

BACKGROUND

Multiple studies report racial disparities in antipsychotic prescription patterns. This study assessed demographic and clinical factors associated with the utilization of first-generation (FG) versus second-generation (SG) long-acting injectable (LAI) antipsychotics.

METHODS

This retrospective, observational cohort analysis used claims data from the IBM MarketScan® Multi-State Medicaid database. The study included adults with an LAI claim between 01-January-2009 and 31-December-2018, an ICD-9-CM or ICD-10-CM diagnosis of schizophrenia, race recorded as Black or White, and ≥12 months of continuous enrollment before the index LAI. Descriptive analysis detailed the relationship between race and FG or SG LAI initiation. Multivariate logistic regression was used to assess potential associations with FG vs. SG LAI initiation, including clinical and demographic factors, comorbidities, and index year.

RESULTS

A total of 10,773 patients were included: 6659 (62 %) Black and 4114 (38 %) White. Black patients had a higher utilization of FG LAIs than White patients (46.8 % vs. 38.9 %) over the 10 years analyzed. Black patients were more likely to utilize FG LAIs than White patients (odds ratio: 1.47; 95 % CI: 1.34, 1.62) after controlling for index year and covariates (race, age, gender, insurance plan type, Quan-Charlson Comorbidity index score, comorbidities, prior medications). Significant predictors of FG LAI utilization were older age, type of baseline oral antipsychotic (FG vs SG), type of coverage (managed care vs fee for service), and greater comorbidity burden.

CONCLUSION

The utilization of FG LAIs was greater in Black compared to White Medicaid beneficiaries with schizophrenia over a 10-year period. These findings suggest that racial disparities exist in LAI initiation, with implications for differential quality of schizophrenia treatment.

Care for Vulnerable Populations with Chronic Liver Disease: A Safety-Net Perspective

Safety-net hospitals (SNHs) and facilities are the cornerstone of healthcare services for the medically underserved. The burden of chronic liver disease-including end-stage manifestations of cirrhosis and liver cancer-is high and rising among populations living in poverty who primarily seek and receive care in safety-net settings. For many reasons related to social determinants of health, these individuals often present with delayed diagnoses and disease presentations, resulting in higher liver-related mortality. With recent state-based policy changes such as Medicaid expansion that impact access to insurance and critical health services, an overview of the body of literature on SNH care for chronic liver disease is timely and informative for the liver disease community. In this narrative review, we discuss controversies in the definition of a SNH and summarize the known disparities in the cascade of the care and management of common liver-related conditions: (1) steatotic liver disease, (2) liver cancer, (3) chronic viral hepatitis, and (4) cirrhosis and liver transplantation. In addition, we review the specific impact of Medicaid expansion on safety-net systems and liver disease outcomes and highlight effective provider- and system-level interventions. Lastly, we address remaining gaps and challenges to optimizing care for vulnerable populations with chronic liver disease in safety-net settings.

Social determinants of health and premature death among adults in the USA from 1999 to 2018: a national cohort study

BACKGROUND

Racial and ethnic disparities in mortality persist in the US population. We studied the contribution of social determinants of health (SDoH) to racial and ethnic disparities in premature death.

METHODS

A nationally representative sample of individuals aged 20-74 years who participated in the US National Health and Nutrition Examination Survey (NHANES) between 1999 and 2018 were included. Self-reported SDoH (employment, family income, food security, education, access to health care, health insurance, housing instability, and being married or living with a partner) were collected in each survey cycle. Participants were categorised into four groups of race and ethnicity: Black, Hispanic, White, and other. Deaths were ascertained from linkage to the National Death Index with follow-up until 2019. Multiple mediation analysis was used to assess simultaneous contributions of each individual SDoH to racial disparities in premature all-cause mortality.

FINDINGS

We included 48 170 NHANES participants in our analyses, consisting of 10 543 (21·9%) Black participants, 13 211 (27·4%) Hispanic participants, 19 629 (40·7%) White participants, and 4787 (9·9%) participants of other racial and ethnic groups. Mean survey-weighted age was 44·3 years (95% CI 44·0-44·6), 51·3% (50·9-51·8) of participants were women, and 48·7% (48·2-49·1) were men. 3194 deaths before age 75 years were recorded (930 Black participants, 662 Hispanic participants, 1453 White participants, and 149 other participants). Black adults had significantly higher premature mortality than other racial and ethnic groups (p<0·0001): premature death rates per 100 000 person-years were 852 (95% CI 727-1000) for Black adults, 445 (349-574) for Hispanic adults, 546 (474-630) for White adults, and 521 (336-821) for other adults. Unemployment, lower family income, food insecurity, less than high school education, no private health insurance, and not being married nor living with a partner were significantly and independently associated with premature death. Dose-response associations were observed between cumulative number of unfavourable SDoH and premature all-cause mortality: hazard ratios (HRs) were 1·93 (95% CI 1·61-2·31) for those with one unfavourable SDoH, 2·24 (1·87-2·68) for those with two, 3·98 (3·34-4·73) for those with three, 4·78 (3·98-5·74) for those with four, 6·08 (5·06-7·31) for those with five, and 7·82 (6·60-9·26) for those with six or more unfavourable SDoH (p<0·0001 for linear trend). After adjusting for SDoH, HRs for premature all-cause mortality for Black adults compared with White adults decreased from 1·59 (1·44-1·76) to 1·00 (0·91-1·10), suggesting complete mediation of this racial difference in mortality.

INTERPRETATION

Unfavourable SDoH are associated with increased rates of premature death and contribute to differences between Black and White racial groups in premature all-cause mortality in the US population. Innovative public health policies and interventions targeting SDoH are needed to reduce premature deaths and health disparities in this population.

FUNDING

US National Institutes of Health.

Analysis of a Pediatric Dental School Patient Population Revealed Increasing Trends of Limited English Proficiency (LEP) Patients: Implications for Pediatric Dental Public Health and Access to Care

Based upon the lack of current information regarding the pediatric patient population at UNLV-SDM, the overall goal of this project was to analyze the demographic characteristics of this population, indicators for socioeconomic status (SES), such as enrollment in Medicaid, and other barriers to healthcare access, such as non-English/non-Spanish languages spoken. Using an Institutional Review Board (IRB)-approved protocol, this analysis revealed the percentage of minority pediatric patients between 2010 and 2020 increased among African Americans, Asian Americans, and mixed or multiracial patients, while decreasing among Hispanics. Analysis of the Limited English Proficiency (LEP) patients and guardians found an overall increase in the number of non-English/non-Spanish languages spoken from n = 4 in 2010 to n = 21 in 2020 with no significant changes in Medicaid/CHIP enrollment identified between 2010 and 2020 (76.7%, 77.9%, p = 0.988). These data suggest the composition of the patient population has experienced significant shifts over time, with more patients of mixed racial backgrounds and increased numbers of Limited English Proficiency (non-English/non-Spanish foreign languages) spoken. These data may suggest there is an increased need for multilingual health materials, training, and translators for pediatric oral health within this population.