OBJECTIVE: Black women are less likely to receive screening mammograms, are more likely to develop breast cancer at an earlier age, and more likely to die from breast cancer when compared to White women. Affordable Care Act (ACA) provisions decreased cost sharing for women\'s preventive screening, potentially mitigating screening disparities. We examined enrollment of a high-risk screening program before and after ACA implementation stratified by race.
METHODS: This retrospective, quasi-experimental study examined the ACA\'s impact on patient demographics at a high-risk breast cancer screening clinic from 02/28/2003 to 02/28/2019. Patient demographic data were abstracted from electronic medical records and descriptively compared in the pre- and post-ACA time periods. Interrupted time series (ITS) analysis using Poisson regression assessed yearly clinic enrollment rates by race using incidence rate ratios (IRR) and 95% confidence intervals (CI).
RESULTS: Two thousand seven hundred and sixty-seven patients enrolled in the clinic. On average, patients were 46 years old (SD, ± 12), 82% were commercially insured, and 8% lived in a highly disadvantaged neighborhood. In ITS models accounting for trends over time, prior to ACA implementation, White patient enrollment was stable (IRR 1.01, 95% CI 1.00-1.02) while Black patient enrollment increased at 13% per year (IRR 1.13, 95% CI 1.05-1.22). Compared to the pre-ACA enrollment period, the post-ACA enrollment rate remained unchanged for White patients (IRR 0.99, 95% CI 0.97-1.01) but decreased by 17% per year for Black patients (IRR 0.83, 95% CI 0.74-0.92).
CONCLUSIONS: Black patient enrollment decreased at a high-risk breast cancer screening clinic post-ACA compared to the pre-ACA period, indicating a need to identify factors contributing to racial disparities in clinic enrollment.

Little is known about how take-up of Medicaid among eligible adults has changed since 2014. This study used data from the Medical Expenditure Panel Survey to examine changes in Medicaid enrollment among Medicaid-eligible adults between 2014 and 2019. Eligibility for Medicaid was simulated using state- and year-specific eligibility rules. Among all Medicaid-eligible citizen adults aged 19-64 years, the proportion enrolled in Medicaid increased from 55.5% in 2014-2015 to 61.9% in 2016-2017, and then remained approximately at the same level in 2018-2019 (61.5%). Among adults who became eligible because of the Medicaid expansions, the proportion enrolled in Medicaid increased from 44.1% in 2014-2015 to 53.8% in 2016-2017. Among pre-Affordable Care Act (ACA)-eligible adults, there was no statistically significant change in the proportion enrolled in Medicaid between 2014-2015 and 2016-2017 (66.8% and 69.7%, respectively). There were significant differences in changes in take-up rates across population subgroups.

Introduction  Gastric cancer, a significant public health concern, remains one of the most challenging malignancies to treat effectively. In the United States, survival rates for gastric cancer have historically been low, partly due to late-stage diagnosis and disparities in access to care. The Affordable Care Act (ACA) sought to address such disparities by expanding healthcare coverage and improving access to preventive and early treatment services.  Objective This study aims to determine the causal effects of the ACA\'s implementation on gastric cancer survival rates, focusing on a comparative analysis between two distinct U.S. states: New Jersey, which fully embraced ACA provisions, and Georgia, which has not adopted the policy, as of 2023.  Methods In this retrospective analysis, we utilized data from the Surveillance, Epidemiology, and End Results Program (SEER) registry to assess the impact of the ACA on cancer-specific survival (CSS) among gastric cancer patients. The study spanned the period from 2000 to 2020, divided into pre-ACA (2000-2013) and post-ACA (2016-2020) periods, with a two-year washout (2013-2015). We compared Georgia (a non-expansion state) to New Jersey (an expansion state since 2014) using a Difference-in-Differences (DiD) approach. We adjusted for patient demographics, income, metropolitan status, disease stage, and treatment modalities.  Results Among 25,061 patients, 58.7% were in New Jersey (14,711), while 41.3% were in Georgia (10,350). The pre-ACA period included 18,878 patients (40.0% in Georgia and 60.0% in New Jersey), and 6,183 patients were in the post-ACA period (45.2% in Georgia and 54.8% in New Jersey). The post-ACA period was associated with a 20% reduction in mortality hazard among gastric cancer patients, irrespective of the state of residence (HR = 0.80, 95% CI: 0.73-0.88). Patients who were residents of New Jersey experienced a 12% reduction in mortality hazard compared to those who resided in Georgia in the post-ACA period (HR = 0.88, 95% CI: 0.78-0.99). Other factors linked to improved survival outcomes included surgery (OR = 0.30, 95% CI: 0.28-0.34) and female gender (OR=0.83, 95% CI: 0.76-0.91).  Conclusion The study underscores the ACA\'s potential positive impact on CSS among gastric cancer patients, emphasizing the importance of healthcare policy interventions in improving patient outcomes.

OBJECTIVE: To determine whether industry payments to physicians are associated with a difference in assisted reproductive technology practices and outcomes.
METHODS: Retrospective cohort.
METHODS: Assisted reproductive technology centers.
METHODS: Patients undergoing asissted reproduction.
METHODS: Industry payments reported to the Open Payments 2020 database.
METHODS: The live birth rate, frozen embryo transfer (FET) rate, intracytoplasmic sperm injection (ICSI) rate, preimplantation genetic testing (PGT) rate, and percentage of patients aged >40 years were obtained from the Centers for Disease Control and Prevention 2020 database. Linear regression analysis was performed comparing the percentage of physicians per center receiving industry payments to clinic-level outcomes.
RESULTS: A total of 873 reproductive endocrinology and infertility physicians received payments in the 2020 database. At least one physician received a payment in 80.5% (437/543) of in vitro fertilization centers. Of 1,724 reproductive endocrinology and infertility physicians, 873 (50.6%) received at least one payment in 2020. The live birth, ICSI, FET, and PGT rates and percentage of patients aged >40 years did not significantly differ between centers by percentage of physicians receiving industry payments. However, in the subanalysis of 99 large centers (defined as ≥5 physicians), each increase in the percentage of physicians receiving industry payments was associated with increases of 0.20% (95% confidence interval, 0.02-0.39) and 0.14% (95% confidence interval, 0.05-0.24) in the PGT and FET rates, respectively. The live birth, ICSI rates and percentage of patients aged >40 years were not associated with increased industry payment rates to physicians.
CONCLUSIONS: Industry payments were not associated with differences in in vitro fertilization center outcomes overall. However, large centers with more physicians receiving industry payments may be more likely to use additional procedures such as PGT and FET, without improvement in the final outcomes such as the live birth rate. Further research is needed to determine whether these differences reflect the industry payment influence vs. individual center/provider practice habits in larger practices.

BACKGROUND: Routine alcohol screening of people with chronic health conditions that are exacerbated by alcohol can help to prevent morbidity and mortality. The U.S. Affordable Care Act and other recent health reforms expanded insurance coverage and supported alcohol screening in primary care. This study assessed increases in alcohol screening following health reform and insurance-related and racial and ethnic disparities in screening.
METHODS: Data are from the 2013 to 2019 National Surveys on Drug Use and Health for adults with alcohol-related chronic conditions who received primary care in the past year (N=46,014). The outcome was receipt of alcohol screening (yes/no) in which a healthcare provider inquired whether, how often, or how much the respondent drank, or about having alcohol-related problems. Multivariable logistic regression models assessed temporal changes in screening overall and by insurance type and race/ethnicity, adjusting for demographics, health conditions, and primary care utilization. Statistical analysis was performed in 2023.
RESULTS: Alcohol screening prevalence rose from 69% to 77% from 2013 through 2019, with a notable increase in 2014-2015 for both Medicaid-insured and privately-insured patients. Black and Asian American patients were generally less likely to be screened than White patients. Importantly, racial disparities in screening were found among privately-insured patients, patients with hypertension, patients with heart disease, and patients with diabetes who drink alcohol.
CONCLUSIONS: Alcohol screening of primary care patients with chronic conditions increased following health reform, but persistent disparities among patients with private insurance and specific chronic conditions underscore the need to address drivers of unequal preventive care.

We present conservative estimates for the marginal value of public funds (MVPF) associated with providing Medicaid to inmates exiting prison. The MVPF measures the ratio between a policy\'s social benefits and its governmental costs. Our MVPF estimates suggest that every additional $1 the government spends on providing inmates exiting prison with Medicaid coverage can result in social benefits ranging between $3.45 and $10.62. A large proportion of the benefits we consider stems from the reduced future criminal involvement among former inmates who receive Medicaid. Employing a difference-in-differences approach, we find that Medicaid expansions reduce the average number of times a released inmate is reimprisoned within 1 year by approximately 11.5%. By combining this estimate with key values reported elsewhere (e.g., victimization costs, data on victimization and incarceration), we quantify specific benefits arising from the policy. These encompass diminished criminal harm due to lower reoffense rates, direct benefits to former inmates through Medicaid coverage, increased employment opportunities, and reduced loss of liberty resulting from fewer future reimprisonments. Net-costs consist of the cost of providing Medicaid net of changes in the governmental cost of imprisonment, changes in the tax revenue due to increased employment, and changes in spending on other public assistance programs. We interpret our estimates as conservative since we deliberately err on the side of under-estimating benefits and over-estimating costs when data on specific items are imprecise or incomplete. Our findings align closely with others in the sparse literature investigating the crime-related welfare impacts of Medicaid access, underscoring the substantial indirect benefits public health insurance programs can offer through crime reduction, in addition to their direct health-related advantages.

A growing literature has identified substantial inaccuracies in consumer-facing provider directories, but it is unclear how long these inaccuracies persist. We re-surveyed inaccurately listed Pennsylvania providers (n = 5170) between 117 to 280 days after a previous secret-shopper survey. Overall, 19.0% (n = 983) of provider directory listings that had been identified as inaccurate were subsequently removed, 44.8% (n = 2316) of provider listings continued to show at least 1 inaccuracy, and 11.6% (n = 600) were accurate at follow-up. We were unable to reach 24.6% (n = 1271) of providers. Longer passage of time was associated with reductions in directory inaccuracies, particularly related to contact information, and to a lesser degree, with removal of inaccurate listings. We found substantial differences in corrective action by carrier. Together, these findings suggest persistent barriers to maintaining and updating provider directories, with implications for how well these tools can help consumers select health plans and access care.

BACKGROUND: The Affordable Care Act (ACA), enacted in 2010, aimed to improve healthcare coverage for American citizens. This study investigates the impact of Medicaid expansion (ME) under the ACA on the racial and ethnic composition of nursing home admissions in the U.S., focusing on whether ME has led to increased representation of racial/ethnic minorities in nursing homes.
METHODS: A difference-in-differences estimation methodology was employed, using U.S. county-level aggregate data from 2000 to 2019. This approach accounted for multiple time periods and variations in treatment timing to analyze changes in the racial and ethnic composition of nursing home admissions post-ME. Additionally, two-way fixed effects (TWFE) regression was utilized to enhance robustness and validate the findings.
RESULTS: The analysis revealed that the racial and ethnic composition of nursing home admissions has become more homogeneous following Medicaid expansion. Specifically, there was a decline in Black residents and an increase in White residents in nursing homes. Additionally, significant differences were found when categorizing states by income inequality, and poverty rate levels. These findings remain statistically significant even after controlling for additional variables, indicating that ME influences the racial makeup of nursing home admissions.
CONCLUSIONS: Medicaid expansion has not diversified nursing home demographics as hypothesized; instead, it has led to a more uniform racial composition, favoring White residents. This trend may be driven by nursing home preferences and financial incentives, which could favor residents with private insurance or higher personal funds. Mechanisms such as payment preferences and local cost variations likely contribute to these shifts, potentially disadvantaging Medicaid-reliant minority residents. These findings highlight the complex interplay between healthcare policy implementation and racial disparities in access to long-term care, suggesting a need for further research on the underlying mechanisms and implications for policy refinement.

States are able to choose whether to expand Medicaid as part of the Affordable Care Act (ACA); thus it is of interest to understand the impact of this policy choice. In this protocol, we outline a study on the impact of Medicaid expansion as part of the ACA on mortality during the COVID-19 pandemic in the United States. County-level matching using full, optimal matching with a propensity score model is used to estimate causal effects in this observational study. Due to the provisional nature of mortality data in 2020 as reported by the CDC, we outline a modified aligned rank test to account for censored data as well as reporting lags for different states. We aim to make connections between statistical and ethnographic methodologies by particularly examining adjacent counties and similar counties that are in the same region of the US and in vastly different regions of the US. Finally, we aim to add to the growing literature about the effect of ACA Medicaid expansion on mortality by calculating effects, disaggregating by race.

We examine variation in US hospital quality across ownership, chain membership, and market concentration. We propose a new measure of quality derived from penalties imposed on hospitals under the flagship Hospital Readmissions Reduction Program, and use regression models to risk-adjust for hospital characteristics and county demographics. While the overall association between for-profit ownership and quality is negative, there is evidence of substantial heterogeneity. The quality of for-profit relative to non-profit hospitals declines with increasing market concentration. Moreover, the quality gap is primarily driven by for-profit chains. While the competition result mirrors earlier findings in the literature, the chain result appears to be new: it suggests that any potential quality gains afforded by chains are mostly realized by not-for-profit hospitals.