Cancer diagnosis and treatment in working-age adults: Implications for employment, health insurance coverage, and financial hardship in the United States.

The rising costs of cancer care and subsequent medical financial hardship for cancer survivors and families are well documented in the United States. Less attention has been paid to employment disruptions and loss of household income after a cancer diagnosis and during treatment, potentially resulting in lasting financial hardship, particularly for working-age adults not yet age-eligible for Medicare coverage and their families. In this article, the authors use a composite patient case to illustrate the adverse consequences of cancer diagnosis and treatment for employment, health insurance coverage, household income, and other aspects of financial hardship. They summarize existing research and provide nationally representative estimates of multiple aspects of financial hardship and health insurance coverage, benefit design, and employee benefits, such as paid sick leave, among working-age adults with a history of cancer and compare them with estimates among working-age adults without a history of cancer from the most recently available years of the National Health Interview Survey (2019-2021). Then, the authors identify opportunities for addressing employment and health insurance coverage challenges at multiple levels, including federal, state, and local policies; employers; cancer care delivery organizations; and nonprofit organizations. These efforts, when informed by research to identify best practices, can potentially help mitigate the financial hardship associated with cancer.

Mortality and morbidity ramifications of proposed retractions in healthcare coverage for the United States.

In the absence of universal healthcare in the United States, federal programs of Medicaid and Medicare are vital to providing healthcare coverage for low-income households and elderly individuals, respectively. However, both programs are under threat, with either enacted or proposed retractions. Specifically, raising Medicare age eligibility and the addition of work requirements for Medicaid qualification have been proposed, while termination of continuous enrollment for Medicaid was recently effectuated. Here, we assess the potential impact on mortality and morbidity resulting from these policy changes. Our findings indicate that the policy change to Medicare would lead to over 17,000 additional deaths among individuals aged 65 to 67 and those to Medicaid would lead to more than 8,000 deaths among those under the age of 65. To illustrate the implications for morbidity, we further consider a case study among those people with diabetes who would be likely to lose their health insurance under the policy changes. We project that these insurance retractions would lead to the loss of coverage for over 700,000 individuals with diabetes, including more than 200,000 who rely on insulin.

Machine learning for detection of heterogeneous effects of Medicaid coverage on depression.

In 2008, Oregon expanded its Medicaid program using a lottery, creating a rare opportunity to study the effects of Medicaid coverage using a randomized controlled design (Oregon Health Insurance Experiment). Analysis showed that Medicaid coverage lowered the risk of depression. However, this effect may vary between individuals, and the identification of individuals likely to benefit the most has the potential to improve the effectiveness and efficiency of the Medicaid program. By applying the machine learning causal forest to data from this experiment, we found substantial heterogeneity in the effect of Medicaid coverage on depression; individuals with high predicted benefit were older and had more physical or mental health conditions at baseline. Expanding coverage to individuals with high predicted benefit generated greater reduction in depression prevalence than expanding to all eligible individuals (21.5 vs 8.8 percentage-point reduction; adjusted difference = +12.7 [95% CI, +4.6 to +20.8]; P = 0.003), at substantially lower cost per case prevented ($16 627 vs $36 048; adjusted difference = -$18 598 [95% CI, -156 953 to -3120]; P = 0.04). Medicaid coverage reduces depression substantially more in a subset of the population than others, in ways that are predictable in advance. Targeting coverage on those most likely to benefit could improve the effectiveness and efficiency of insurance expansion. This article is part of a Special Collection on Mental Health.

Insurer-Mandated Medication Utilization Barriers are Associated With Decreased Insurance Satisfaction and Adverse Clinical Outcomes: An Inflammatory Bowel Disease Partners Survey.

INTRODUCTION: Insurer-mandated barriers to timely initiation of advanced therapies used to treat inflammatory bowel disease (IBD) have been shown to worsen clinical outcomes and increase healthcare utilization, yet rarely alter the medication ultimately prescribed. METHODS: We conducted a survey within the IBD Partners longitudinal cohort to evaluate the frequency and patient-reported impacts of medication utilization barriers on insurance satisfaction and clinical outcomes. Barriers included medication denials, prior authorizations, and forced medication switches. Variables associated with insurance satisfaction, measured on a 1-7 Likert scale, were identified. The association between insurance-related barriers and downstream clinical outcomes (surgery, corticosteroid requirement, and disease activity) were evaluated. RESULTS: Two thousand seventeen patients (age 45 [interquartile range 34-58] years, 73% female) were included. Seventy-two percent experienced an insurer-mandated barrier, most commonly prior authorizations (51%). Fifteen percent were denied an IBD medication by their insurer, 22% experienced an insurance-related gap in therapy, and 8% were forced by their insurer to switch from an effective medication. Insurance satisfaction was negatively associated with medication denials, prior authorization-related delays, gaps in therapy, and high-deductible health plan coverage. In the year following the initial survey, several insurance barriers were linked to negative downstream clinical outcomes, including prior authorizations associated with corticosteroid rescue (odds ratio [OR] 2.24, 95% confidence interval [CI] 1.25-4.00), forced medication switches associated with continued disease activity (OR 3.28, 95% CI 1.56-6.89), and medication denials associated with IBD-related surgery (OR 8.92, 95% CI 1.97-40.39). DISCUSSION: These data illustrate the frequency and negative impacts of insurer-mandated medication barriers on patients with IBD, including decreased insurance satisfaction and negative downstream clinical outcomes.

Hospital Presumptive Eligibility Emergency Medicaid Programs: An Opportunity for Continuous Insurance Coverage?

BACKGROUND: Lack of health insurance is a public health crisis, leading to foregone care and financial strain. Hospital Presumptive Eligibility (HPE) is a hospital-based emergency Medicaid program that provides temporary (up to 60 d) coverage, with the goal that hospitals will assist patients in applying for ongoing Medicaid coverage. It is unclear whether HPE is associated with successful longer-term Medicaid enrollment. OBJECTIVE: To characterize Medicaid enrollment 6 months after initiation of HPE and determine sociodemographic, clinical, and geographic factors associated with Medicaid enrollment. DESIGN: This was a cohort study of all HPE approved inpatients in California, using claims data from the California Department of Healthcare Services. SETTING: The study was conducted across all HPE-participating hospitals within California between January 1, 2016 and December 31, 2017. PARTICIPANTS: We studied California adult hospitalized inpatients, who were uninsured at the time of hospitalization and approved for HPE emergency Medicaid. Using multivariable logistic regression models, we compared HPE-approved patients who enrolled in Medicaid by 6 months versus those who did not. EXPOSURES: HPE emergency Medicaid approval at the time of hospitalization. MAIN OUTCOMES AND MEASURES: The primary outcome was full-scope Medicaid enrollment by 6 months after the hospital's presumptive eligibility approval. RESULTS: Among 71,335 inpatient HPE recipients, a total of 45,817 (64.2%) enrolled in Medicaid by 6 months. There was variability in Medicaid enrollment across counties in California (33%-100%). In adjusted analyses, Spanish-preferred-language patients were less likely to enroll in Medicaid (aOR 0.77, P <0.001). Surgical intervention (aOR 1.10, P <0.001) and discharge to another inpatient facility or a long-term care facility increased the odds of Medicaid enrollment (vs. routine discharge home: aOR 2.24 and aOR 1.96, P <0.001). CONCLUSION: California patients who enroll in HPE often enroll in Medicaid coverage by 6 months, particularly among patients requiring surgical intervention, repeated health care visits, and ongoing access to care. Future opportunities include prospective evaluation of HPE recipients to understand the impact that Medicaid enrollment has on health care utilization and financial solvency.

Association of race, ethnicity and insurance status with outcomes for patients with acute pulmonary embolism treated by PERT: a retrospective observational study.

BACKGROUND: Management of PE has become streamlined with the implementation of PE Response Teams (PERT). Race, ethnicity and insurance status are known to influence the outcomes of patients with acute PE. However, whether the implementation of PERT-based care mitigates these racial and ethnic disparities remains unknown. Our aim was to assess the association of race, ethnicity and insurance with outcomes for patients with acute PE managed by PERT. METHODS: We performed a retrospective chart review of 290 patients with acute PE, who were admitted to one of three urban teaching hospitals in the Mount Sinai Health System (New York, NY) from January 2021 to October 2023. A propensity score-weighted analysis was performed to explore the association of race, ethnicity and insurance status with overall outcomes. RESULTS: Median age of included patients was 65.5 years and 149 (51.4%) were female. White, Black and Asian patients constituted 56.2% (163), 39.6% (115) and 3.5% [10] of the cohort respectively. Patients of Hispanic or Latino ethnicity accounted for 8.3% [24] of the sample. The 30-day rates of mortality, major bleeding and 30-day re-admission were 10.3%, 2.1% and 12.8% respectively. Black patients had higher odds of major bleeding (odds ratio [OR]: 1.445; p < 0.0001) when compared to White patients. Patients of Hispanic or Latino ethnicity had lower odds of receiving catheter-directed thrombolysis (OR: 0.966; p = 0.0003) and catheter-directed or surgical embolectomy (OR: 0.906; p < 0.0001) when compared to non-Hispanic/Latino patients. Uninsured patients had higher odds of receiving systemic thrombolysis (OR: 1.034; p = 0.0008) and catheter-directed thrombolysis (OR: 1.059; p < 0.0001), and lower odds of receiving catheter-directed or surgical embolectomy (OR: 0.956; p = 0.015) when compared to insured patients, although the odds of 30-day mortality and 30-day major bleeding were not significantly different. CONCLUSION: Within a cohort of PE patients managed by PERT, there were significant associations between race, ethnicity and overall outcomes. Hispanic or Latino ethnicity and uninsured status were associated with lower odds of receiving catheter-directed or surgical embolectomy. These results suggest that disparities related to ethnicity and insurance status persist despite PERT-based care of patients with acute PE.

Health Care Use Among Patients Retroactively Insured via a Hospital-Based Insurance Linkage Program.

OBJECTIVE: Over 25% of the 27 million uninsured individuals in the United States are eligible for Medicaid. Many hospitals have insurance linkage programs that assist eligible patients with enrollment, but little is known about the impact of these programs on care utilization. This research assessed health care utilization and health outcomes among patients enrolled in Medicaid via a hospital-based insurance linkage program. METHODS: This retrospective cohort study included adults aged 18-64 admitted to the hospital from 2016 to 2021. Those who obtained insurance retroactively via insurance linkage (RI) were compared with those who presented with Medicaid (MI) or remained uninsured (UI). The primary outcome was the presence of at least one visit with a primary care provider (PCP) in the 12 months following index admission. Secondary outcomes included having an assigned PCP, ED revisits, and hospital readmissions. For patients with diabetes and hypertension, 12-month hemoglobin A1c (HbA1c) and blood pressure (BP) readings were tracked. RESULTS: Of 3882 patients admitted with no insurance, 2905 (74.8%) were enrolled in insurance (RI). In multivariable analysis, RI patients were 14% more likely (OR 1.14, p = 0.020) to have completed at least one PCP visit by 12 months after index admission compared to those with preexisting Medicaid (MI), and uninsured patients were 29% less likely (OR 0.71, p = 0.003). MI and RI patients also had more ED revisits (p < 0.001) and greater 12-month reductions in blood pressure (p < 0.001) compared with uninsured patients. CONCLUSION: Hospital-based insurance linkage reached three-quarters of uninsured patients and was associated with increased utilization of acute and outpatient health care services. An acute care encounter represents an opportunity to connect patients to insurance, a key step toward improving their health outcomes.

Did Medicaid Reimbursements Shape the Effects of Medicaid Expansion on Access to Health Care Among the Low-Income Population?

BACKGROUND: Whether variation in Medicaid reimbursement fees influenced the impacts of the Medicaid expansions is not well understood. OBJECTIVE: We examine whether changes in health care access associated with Medicaid expansion are different in states with comparatively high Medicaid reimbursement rates compared against expanding in states with lower Medicaid reimbursement rates. DESIGN: Using a difference-in-difference-in-difference (DDD or triple-difference) regression approach, we compare relative differences in Medicaid expansion effects between lower and higher reimbursement states. PARTICIPANTS: 512,744 low-income adults aged 20-64 in the 2011-2019 Behavioral Risk Factor Surveillance System. MAIN MEASURES: Health insurance coverage status, unmet medical needs due to cost, regular source for health care, and a regular/scheduled checkup within the past year. KEY RESULTS: Medicaid expansion has significant and positive impacts on health coverage and access in both high- and low-fee states. In states with fee levels above the median Medicare-to-Medicaid ratios, expanding Medicaid eligibility reduced uninsurance rate by 15.2 percentage point (ppt, p < 0.01), shrank the cost-associated unmet medical need by 10.3 ppt (p < 0.01), improved access to usual source of care by 1.9 ppt (p < 0.1), and increased regular checkup by 14.4 ppt (p < 0.01), while such effects in low-fee states were 11.7 ppt (p < 0.01), 8.3 ppt (p < 0.01), 3.1 ppt (p < 0.1), and 12.3 ppt (p < 0.01), respectively. Our results suggest that Medicaid expansion effect on unmet medical need due to cost in higher-reimbursing states was 2.98 ppt (p < 0.05) larger than in lower-reimbursing states. Evidence suggests modest increases in health care access were more strongly associated with expansions in higher-fee states. CONCLUSIONS: Medicaid's fee structure should be considered as a factor influencing large-scale coverage expansions.

Insurance-based Disparities in Outcomes and Extracorporeal Membrane Oxygenation Utilization for Hospitalized COVID-19 Patients.

BACKGROUND: The objective of this study was to examine insurance-based disparities in mortality, nonhome discharges, and extracorporeal membrane oxygenation utilization in patients hospitalized with COVID-19. METHODS: Using a national database of U.S. academic medical centers and their affiliated hospitals, the risk-adjusted association between mortality, nonhome discharge, and extracorporeal membrane oxygenation utilization and (1) the type of insurance coverage (private insurance, Medicare, dual enrollment in Medicare and Medicaid, and no insurance) and (2) the weekly hospital COVID-19 burden (0 to 5.0%; 5.1 to 10%, 10.1 to 20%, 20.1 to 30%, and 30.1% and greater) was evaluated. Modeling was expanded to include an interaction between payer status and the weekly hospital COVID-19 burden to examine whether the lack of private insurance was associated with increases in disparities as the COVID-19 burden increased. RESULTS: Among 760,846 patients hospitalized with COVID-19, 214,992 had private insurance, 318,624 had Medicare, 96,192 were dually enrolled in Medicare and Medicaid, 107,548 had Medicaid, and 23,560 had no insurance. Overall, 76,250 died, 211,702 had nonhome discharges, 75,703 were mechanically ventilated, and 2,642 underwent extracorporeal membrane oxygenation. The adjusted odds of death were higher in patients with Medicare (adjusted odds ratio, 1.28 [95% CI, 1.21 to 1.35]; P < 0.0005), dually enrolled (adjusted odds ratio, 1.39 [95% CI, 1.30 to 1.50]; P < 0.0005), Medicaid (adjusted odds ratio, 1.28 [95% CI, 1.20 to 1.36]; P < 0.0005), and no insurance (adjusted odds ratio, 1.43 [95% CI, 1.26 to 1.62]; P < 0.0005) compared to patients with private insurance. Patients with Medicare (adjusted odds ratio, 0.47; [95% CI, 0.39 to 0.58]; P < 0.0005), dually enrolled (adjusted odds ratio, 0.32 [95% CI, 0.24 to 0.43]; P < 0.0005), Medicaid (adjusted odds ratio, 0.70 [95% CI, 0.62 to 0.79]; P < 0.0005), and no insurance (adjusted odds ratio, 0.40 [95% CI, 0.29 to 0.56]; P < 0.001) were less likely to be placed on extracorporeal membrane oxygenation than patients with private insurance. Mortality, nonhome discharges, and extracorporeal membrane oxygenation utilization did not change significantly more in patients with private insurance compared to patients without private insurance as the COVID-19 burden increased. CONCLUSIONS: Among patients with COVID-19, insurance-based disparities in mortality, nonhome discharges, and extracorporeal membrane oxygenation utilization were substantial, but these disparities did not increase as the hospital COVID-19 burden increased.

Impact of medicaid expansion on cervical cancer screening: A state-specific difference in difference analysis.

OBJECTIVE: In 2014 the Affordable Care Act expanded Medicaid coverage in states that opted to participate. Limited data are available describing the effect of Medicaid expansion on cancer screening. The objective of our study was to evaluate trends in cervical cancer screening associated with Medicaid expansion. METHODS: Using data from the Behavioral Risk Factor Surveillance System, we identified female respondents ages 30-64 years with a household income below $35,000. The outcome measure was guideline-adherent cervical cancer screening. The years 2010 and 2012 constituted the pre-expansion period while 2016 and 2018 were used to capture the post-expansion period. A difference-in-difference (DID) analysis was performed to assess changes in cervical cancer screening in Medicaid expansion states compared to non-expansion states, for the overall sample and for each expansion state individually. RESULTS: The overall DID analysis showed a greater increase in cervical cancer screening by 1.1 percentage points (95% CI: 0.1 to 2.0%, P = 0.03) in expansion states compared to non-expansion states. The analysis comparing individual expansion states to non-expansion states showed that 6 expansion states had a significantly higher increase in screening relative to non-expansion states: Oregon (8.5%, P < 0.001), Kentucky (4.5%, P = 0.001), Washington (4.2%, P = 0.002), Colorado (4.3%, P = 0.008), Nevada (4.7%, P = 0.048), and Ohio (2.8%, P = 0.03). Of these states, 5 ranked among the states with the lowest baseline screening rates. CONCLUSIONS: Medicaid expansion states experienced a greater increase in cervical cancer screening relative to non-expansion states. Expansion states with lower baseline screening rates experienced greater increases in screening after expanding Medicaid.

Medicaid compared to private insurance is associated with lower rates of sterilization in people with unwanted births.

BACKGROUND: Medicaid, unlike any other insurance mechanism, imposes a consent requirement on female patients desiring sterilization that must be completed at least 30 days, but no more than 180 days, before sterilization. Desired sterilization cannot be completed in the Medicaid population without this consent. Large-scale national evidence is lacking on the effect of this requirement. OBJECTIVE: This study aimed to explore the influence of insurance status on the achievement of postpartum sterilization after a self-reported unwanted birth in a nationally representative sample. STUDY DESIGN: This was a retrospective cohort analysis using data from the 2013-2015 National Survey of Family Growth. The National Survey of Family Growth uses a stratified, multistage clustered sample to make nationally representative estimates for men and women aged 15 to 44 years in the household population of the United States. The analysis was limited to a cohort of birthing people who reported their last birth as unwanted and who were insured by either Medicaid or private insurance. The survey was analyzed with the application of inverse probability of treatment weights to balance those with Medicaid and those with private insurance in addition to the survey weight. The association between completion of postpartum sterilization and insurance type was evaluated using weighted logistic regression, adjusting for demographic and clinical characteristics. RESULTS: In an adjusted and inverse probability of treatment weight balanced analysis of a weighted national sample representing 4,164,304 people (416 respondents), Medicaid-insured birthing people with history of unwanted births were found to have 56% lower odds of obtaining postpartum sterilization (odds ratio, 0.44; 95% confidence interval, 0.22-0.87; P=.019) than those with private insurance. CONCLUSION: This study adds to mounting evidence that insurance type plays a significant role in the achievement of desired postpartum sterilization, with individuals with Medicaid less likely to undergo the procedure. The findings call for policy reforms around sterilization policy in the United States, emphasizing the need for uniform consent procedures that do not discriminate based on insurance status.

Navigating the Labyrinth of Pregnancy-Related Coverage for Undocumented Immigrants: An Assessment of Current State and Federal Policies.

Insurance coverage for prenatal care, labor and delivery care, and postpartum care for undocumented immigrants consists of a patchwork of state and federal policies, which varies widely by state. According to federal law, states must provide coverage for labor and delivery through Emergency Medicaid. Various states have additional prenatal and postpartum coverage for undocumented immigrants through policy mechanisms such as the Children's Health Insurance Program's "unborn child" option, expansion of Medicaid, and independent state-level mechanisms. Using a search of state Medicaid and federal government websites, we found that 27 states and the District of Columbia provide additional coverage for prenatal care, postpartum care, or both, while 23 states do not. Twelve states include any postpartum coverage; 7 provide coverage for 12 months postpartum. Although information regarding coverage is available publicly online, there exist many barriers to access, such as lack of transparency, lack of availability of information in multiple languages, and incorrect information. More inclusive and easily accessible policies are needed as the first step toward improving maternal health among undocumented immigrants, a population trapped in a complicated web of immigration policy and a maternal health crisis. (Am J Public Health. 2024;114(10):1051-1060. https://doi.org/10.2105/AJPH.2024.307750).

Evaluation of Insurance Type as a Proxy for Socioeconomic Status in the Pediatric Emergency Department: A Pilot Study.

STUDY OBJECTIVE: To determine whether insurance status can function as a sufficient proxy for socioeconomic status in emergency medicine research by examining the concordance between insurance status and direct socioeconomic status measures in a sample of pediatric patients. METHODS: We conducted a cross-sectional pilot study of patients aged 5 to 17 years in the emergency department of a quaternary care children's hospital. Socioeconomic status was measured using the highest level of the caregiver's education (low: less than bachelor's degree; high: bachelor's or greater) and previous year household income (low: <$75,000; high: ≥$75,000). We calculated the misclassification rate of insurance status (low: public; high: private) using education and income as reference standards. Results were expressed as percentages with 95% confidence intervals. RESULTS: In total, 300 patients were enrolled (median age 11 years, 44% female). Insurance status misclassified 23% (95% CI 18% to 28%) and 14% (95% CI 10% to 19%) of patients when using caregiver education and income, respectively, as reference standards. CONCLUSIONS: Insurance status misclassified socioeconomic status in up to 23% of pediatric patients, as measured by caregivers' education and income. Emergency medicine studies of pediatric patients using insurance as a covariate to adjust for socioeconomic status may need to consider this misclassification and the resulting potential for bias. These findings require confirmation in larger, more diverse samples, including adult patients.

Does supplemental private health insurance impact health care utilization and seeking behavior of residents covered by social health insurance? Evidence from China National Health Services Survey.

BACKGROUND: Supplemental private health insurance (PHI) plays a crucial role in complementing China's social health insurance (SHI). However, the effectiveness of incorporating PHI as supplementary coverage lacks conclusive evidence regarding its impact on healthcare utilization and seeking behavior among SHI-covered individuals. Therefore, investigating the effects of supplementary PHI on health care utilization and seeking behavior of residents covered by social health insurance is essential to provide empirical evidence for informed decision-making within the Chinese healthcare system. METHODS: Data from the 2018 China National Health Services Survey were analyzed to compare outpatient and inpatient healthcare utilization and choices between PHI purchasers and non-purchasers across three SHI schemes: urban employee-based basic medical insurance (UEBMI), urban resident-based basic medical insurance (URBMI), and the new rural cooperative medical scheme (NRCMS). Using the Andersen Healthcare Services Utilization Behavior Model as the theoretical framework,binary logistic regression and multinomial logistic regression (MNL) models were employed to assess the impact of PHI on healthcare utilization and provider preferences. RESULTS: Among UEBMI, URBMI, and NRCMS participants with PHI, outpatient visit rates were 17.9, 19.8, and 21.7%, and inpatient admission rates were 12.4, 9.9, and 12.9%, respectively. Participants without PHI exhibited higher rates for outpatient visits (23.6, 24.3, and 25.6%) and inpatient admissions (15.2, 12.8, and 14.5%). Binomial logistic regression analyses revealed a higher probability of outpatient visits and inpatient admissions among UEBMI participants with PHI (p < 0.05). NRCMS participants with PHI showed a lower probability of outpatient visits but a higher probability of inpatient admissions (p < 0.05). Multinomial logistic regression indicated that NRCMS participants with PHI were more likely to choose higher-level hospitals, with a 17% increase for county hospitals and 27% for provincial or higher-level hospitals compared to primary care facilities. CONCLUSION: The findings indicate that the possession of PHI correlated with increased utilization of outpatient and inpatient healthcare services among participants covered by UEBMI. Moreover, for participants under the NRCMS, the presence of PHI is linked to a proclivity for seeking outpatient care at higher-level hospitals and heightened utilization of inpatient services. These results underscore the nuanced influence of supplementary PHI on healthcare-seeking behavior, emphasizing variations across individuals covered by distinct SHI schemes.

Utilization and affordability of health insurance coverage for rare disease drugs in a first-tier city in Northeast China from 2018 to 2021: a study based on the health insurance claims database.

OBJECTIVE: The accessibility issue of orphan drugs in China is prominent. Based on real-world data from a tier-one city in Northeast China, this study aims to analyze the current usage and affordability of orphan drugs for rare diseases. METHODS: The data was sourced from the health insurance claims data of a certain city from 2018 to 2021, including a total of 16 orphan drugs. The utilization of orphan drugs is assessed using four indicators: frequency of medical insurance claims, medication cost, defined daily doses (DDDs), and defined daily drug cost (DDDc). Affordability is measured using the concept of catastrophic health expenditure (CHE). RESULTS: Between January 2018 and December 2021, there were a total of 2,851 medical insurance claims in the city, with a total medication costs of $3.08 million. Overall, during the study, there was a year-on-year increase in the utilization frequency of individual rare disease drugs in the city, with DDDs rising from 140.22 in 2018 to 3983.63 in 2021. Additionally, the annual medication costs of individual drugs showed a consistent upward trend, increasing from $10,953.53 in 2018 to $120,491.36 in 2021. However, the DDDc of individual drugs decreased from $398.12 in 2018 to $96.65 in 2021.The number of sales and the amount of sales for orphan drugs in community pharmacies have significantly increased. Prior to medical insurance coverage, out of the 16 orphan drugs, 9 drugs had annual treatment costs exceeding CHE for urban residents, and 15 drugs had annual treatment costs exceeding CHE for rural residents. After medical insurance coverage, there were no drugs with out-of-pocket costs exceeding CHE for urban residents, while 8 drugs had out-of-pocket costs exceeding CHE for rural residents. Furthermore, both before and after medical insurance coverage, the four treatment drugs for idiopathic pulmonary arterial hypertension were more affordable compared to the four treatment drugs for multiple sclerosis. CONCLUSION: The usage frequency of orphan drugs in a certain city increased gradually, but the disease burden remained heavy. More policy support should be provided to the priority rare disease populations, and the rare disease medical security and diagnosis and treatment systems should be improved.

Influence of health insurance on withdrawal of life sustaining treatment for patients with isolated traumatic brain injury: a retrospective multi-center observational cohort study.

BACKGROUND: Healthcare inequities for patients with traumatic brain injury (TBI) represent a major priority area for trauma quality improvement. We hypothesized a relationship between health insurance status and timing of withdrawal of life sustaining treatment (WLST) for adults with severe TBI. METHODS: This multicenter retrospective observational cohort study utilized data collected between 2017 and 2020. We identified adult (age ≥ 16) patients with isolated severe TBI admitted participating Trauma Quality Improvement Program centers. We determined the relationship between insurance status (public, private, and uninsured) and the timing of WLST using a competing risk survival analysis framework adjusting for baseline, clinical, injury and trauma center characteristics. Multivariable cause-specific Cox regressions were used to compute adjusted hazard ratios (HR) reflecting timing of WLST, accounting for mortality events. We also quantified the between-center residual variability in WLST using the median odds ratio (MOR) and measured insurance status association with access to rehabilitation at discharge. RESULTS: We identified 42,111 adults with isolated severe TBI treated across 509 trauma centers across North America. There were 10,771 (25.6%) WLST events in the cohort and a higher unadjusted incidence of WLST events was evident in public insurance patients compared to private or uninsured groups. After adjustment, WLST occurred earlier for publicly insured (HR 1.07, 95% CI 1.02-1.12) and uninsured patients (HR 1.29, 95% CI 1.18-1.41) compared to privately insured patients. Access to rehabilitation was lower for both publicly insured and uninsured patients compared to patients with private insurance. Accounting for case-mix, the MOR was 1.49 (95% CI 1.43-1.55), reflecting significant residual between-center variation in WLST decision-making. CONCLUSIONS: Our findings highlight the presence of disparate WLST practices independently associated with health insurance status. Additionally, these results emphasize between-center variability in WLST, persisting despite adjustments for measurable patient and trauma center characteristics.

The impact of the 2014 Medicaid expansion on the health, health care access, and financial well-being of low-income young adults.

Prior to the 2014 Affordable Care Act (ACA) expansion, 37% of young adults ages 19-25 in the United States were low-income and a third lacked health insurance coverage-both the highest rates for any age group in the population. The ACA's Medicaid eligibility expansion, therefore, would have been significantly beneficial to low-income young adults. This study evaluates the effect of the ACA Medicaid expansion on the health, health care access and utilization, and financial well-being of low-income young adults ages 19-25. Using 2010-2017 National Health Interview Survey data, I estimate policy effects by applying a difference-in-differences design leveraging the variation in state implementation of the expansion policy. I show that Medicaid expansion improved health insurance coverage, health care access, and financial well-being for low-income young adults in expansion states, but had no effect on their health status and health care utilization. I also find that the policy was associated with larger gains in health coverage for racial minorities relative to their Non-Hispanic White counterparts. With the continued health policy reform debates at the state and federal levels, the empirical evidence from this study can help inform policy decisions that aim to improve health care access and utilization among disadvantaged groups.

Socio-demographic predictors of not having private dental insurance coverage: machine-learning algorithms may help identify the disadvantaged.

BACKGROUND: For accessing dental care in Canada, approximately 62% of the population has employment-based insurance, 6% have some publicly funded coverage, and 32% have to pay out-of pocket. Those with no insurance or public coverage find dental care more unaffordable compared to those with private insurance. To support the development of more comprehensive publicly funded dental care programs, it is important to understand the socio-demographic attributes of all those, who find dental care unaffordable. METHODS: This study is a secondary analysis of the data collected from Ontarians during the latest available cycle of the Canadian Community Health Survey (2017-18), a cross-sectional survey that collects information on health status, health care utilization, and health determinants for the Canadian population. First, bivariate analysis was conducted to determine the characteristics of Ontarians who lack dental insurance. Afterwards, we employed machine learning (ML) to analyze data and identify risk indicators for not having private dental insurance. Specifically, we trained several supervised ML models and utilized Shapley additive explanations (SHAP) to determine the relative feature importance for not having private dental insurance from the best ML model [the gradient boosting (GBM)]. RESULTS: Approximately one-third of Ontarians do not have private insurance coverage for dental care. Individuals with an income below $20,000, those unemployed or working part-time, seniors aged above 70, and those unable to afford to have their own housing are more at risk of not having private dental insurance, leading to financial barriers in accessing dental care. CONCLUSION: In the future, government-funded programs can incorporate these identified risk indicators when determining eligible populations for publicly funded dental programs. Understanding these attributes is critical for developing targeted and effective interventions, ensuring equitable access to dental care for Canadians.

The impact of health insurance on hypertension care: a household fixed effects study in India.

INTRODUCTION: Hypertension is highly prevalent in India, but the proportion of patients achieving blood pressure control remains low. Efforts have been made to expand health insurance coverage nationwide with the aim of improving overall healthcare access. It is critical to understand the role of health insurance coverage in improving hypertension care. METHODS: We used secondary data from the nationally representative sample of adults aged 15-49 years from the 2015-2016 National Family Health Survey (NFHS) in India. We defined the hypertension care cascade as four successive steps of (1) screened, (2) diagnosed, (3) treated, and (4) controlled, and operationalized these variables using blood pressure measurements and self-reports. We employed household fixed effect models that conceptually matched people with and without insurance within the household, to estimate the impact of insurance coverage on the likelihood of reaching each care cascade step, while controlling for a wide range of additional individual-level variables. RESULTS: In all 130,151 included individuals with hypertension, 20.4% reported having health insurance. For the insured hypertensive population, 79.8% (95% Confidence Interval: 79.3%-80.3%) were screened, 49.6% (49.0%-50.2%) diagnosed, 14.3% (13.9%-14.7%) treated, and 7.9% (7.6%-8.2%) controlled, marginally higher than the percentages for the uninsured 79.8% (79.5%-80.0%), 48.2% (47.9%-48.6%), 13.3% (13.1%-13.5%), and 7.5% (7.4%-7.7%) for each cascade step, respectively. From the household fixed effects model, health insurance did not show significant impact on the hypertension care cascade, with the estimated relative risks of health insurance 0.97 (0.93-1.02), 0.97 (0.91-1.03), 0.95 (0.77-1.30), and 0.97 (0.65-1.10) for each cascade step, respectively. We further performed stratified analyses by sociodemographic and behavioral risk factors and a sensitivity analysis with district fixed effects, all of which yielded results that confirmed the robustness of our main findings. CONCLUSIONS: Health insurance did not show significant impact on improving hypertension care cascade among young and middle-aged adults with hypertension in India. Innovative strategies for overcoming practical barriers to healthcare services in addition to improving financial access are needed to address the large unmet need for hypertension care.

Disparities in State Medicaid Coverage of Tretinoin for Pigmentary Disorders Compared to Acne Vulgaris.

BACKGROUND: Melasma and post-inflammatory hyperpigmentation (PIH) are common cosmetic dermatologic conditions that predominantly affect patients with skin phototypes III-VI. Comparing treatment coverage for these pigmentary disorders to treatment coverage for acne vulgaris may demonstrate disparities in insurance coverage for diseases that primarily affect patients of color. OBJECTIVE: Describe differences in Medicaid coverage for topical tretinoin for melasma and PIH vs. acne vulgaris in all 50 states and the District of Columbia. METHODS: This is a cross-sectional study of Medicaid insurance plans in all 50 states and the District of Columbia conducted between February 1 and 28, 2023. Data was collected from online publicly available preferred drug lists, prior authorization criteria, and email/telephone inquiries. Information was collected regarding coverage restrictions, including age restrictions, diagnostic restrictions, preferred drug status, and prior authorization requirements. RESULTS: Complete coverage data for all three clinical indications was retrieved from 30 (58.8%) states; partial coverage data for acne vulgaris was retrieved from 16 (31.4%) states; no coverage data was retrieved from 5 (9.8%) states. Of states reporting coverage data, topical tretinoin is covered in 45 (97.8%) states for acne vulgaris and 10 (33.3%) states for melasma and post-inflammatory hyperpigmentation. There was decreased Medicaid coverage of topical tretinoin for acne vulgaris compared to melasma and PIH (P<0.05).  Conclusion: There is differential Medicaid coverage for acne vulgaris compared to pigmentary disorders which disproportionately affect patients of color. Greater advocacy is required to ensure equal treatment for conditions that affect racial minority patients. J Drugs Dermatol. 2024;23(6):e151-e153.     doi:10.36849/JDD.8069e  .