Health Insurance Enrollment Among US Veterans, 2010-2021.

Importance: Department of Veterans Affairs (VA) health care spending has increased in the past decade, in part due to legislative changes that expanded access to VA-purchased care. Objective: To understand how insurance coverage and enrollment in VA has changed between 2010 and 2021. Design, Setting, and Participants: This cross-sectional study used data from surveys conducted from 2010 to 2021. Participants were respondents across 4 national surveys who reported being a US veteran and reported on health insurance enrollment. Data were analyzed from October 2023 to June 2024. Main Outcomes and Measures: Self-reported health insurance coverage, reliance on VA insurance, and self-reported health. Results: Among a total of 3 644 614 survey respondents (mean [SE] age, 60 [0.04] years; 91.3% [95% CI, 91.2%-91.5%] male) included, 52.2% (95% CI, 52.0%-52.4%) were out of the labor market and 63.1% (95% CI, 62.9%-63.3%) were married. In 2010, 94% of all veterans and 94% of veterans younger than age 65 years reported having health insurance coverage on the American Community Survey. Insurance enrollment increased over time, and by 2020, 97% of all veterans and 95% of veterans younger than 65 years reported having health insurance coverage on the American Community Survey. Insurance enrollment estimates were similar across the surveys. Approximately one-third of veterans reported being enrolled in VA health coverage. Of those who enrolled in VA insurance, more than 75% had more than 1 form of coverage, with Medicare and private insurance being the most common second insurance sources. VA insurance enrollment was negatively associated with income and health status. Veterans without insurance tended to be unemployed and younger. Conclusions and Relevance: This study of veterans who responded to 4 national surveys found that veterans enrolled in VA health coverage had high rates of dual coverage. Further legislative efforts to increase access without recognizing the high rates of dual coverage may yield unintended consequences, such payer shifting.

What explains the provision of health insurance by Indonesian employers? A trend analysis of the National Labour Force Survey 2018-2022.

Indonesian laws mandate that every employer should provide health insurance and work accident insurance to their employees. Nevertheless, there is a significant gap in the coverage of employer-sponsored insurance among Indonesian workers. This study examines the coverage of employer-sponsored insurance and work accident insurance and analyses the characteristics of the uninsured working population in Indonesia. We analysed nationally representative cross-sectional data from the National Labour Force Survey (NLFS) conducted between 2018 and 2022. The primary dependent variable was the provision of health insurance and work accident insurance by employers. The independent variables included having any physical disabilities, number of working hours, duration of employment, labour union membership, earning at least the provincial minimum wage, having a written contract and working in high risk jobs. Logistic regression was employed using the R statistical software. The findings indicate that coverage of employer-sponsored health insurance is low in Indonesia-ranging from 36.1% in 2018 to 38.4% in 2022. Workers with a written contract, earning at least the provincial minimum wage, were members of a labour union, employed for at least 5 years and working more than 40 hours a week were more likely to be insured. By contrast, workers who had physical disabilities or were employed in high-risk jobs were less likely to be insured. Our study concludes that having a written employment contract is the single most influential factor that explains the provision of employer-sponsored health insurance in Indonesia. The country's labour laws should therefore formalize the provision of written employment contracts for all workers regardless of the type and nature of work. The existing laws on health insurance and work accident insurance should be enforced to ensure that employers meet their constitutionally mandated obligation of providing these types of insurance to their workers, particularly those engaged in high risk jobs.

State Coverage and Reimbursement of Antiobesity Medications in Medicaid.

This study examines state Medicaid coverage policies for antiobesity medications and their trends in Medicaid reimbursement from 2011 to 2022.

The Rise and Risks of Medicare Advantage "Affinity Plans".

This Viewpoint discusses the proliferation of Medicare Advantage plans targeting specific groups of individuals and whether these plans will improve quality of care for beneficiaries.

Medicare Advantage Disenrollment Patterns Among Beneficiaries With Multiple Chronic Conditions.

This study examines whether Medicare Advantage (MA) enrollees with more chronic conditions were more likely to disenroll when MA enrollment grew rapidly from 2009 to 2019.

The global gap in treatment coverage for major depressive disorder in 84 countries from 2000-2019: A systematic review and Bayesian meta-regression analysis.

BACKGROUND: The treatment coverage for major depressive disorder (MDD) is low in many parts of the world despite MDD being a major contributor to disability globally. Most existing reviews of MDD treatment coverage do not account for potential sources of study-level heterogeneity that contribute to variation in reported treatment rates. This study aims to provide a comprehensive review of the evidence and analytically quantify sources of heterogeneity to report updated estimates of MDD treatment coverage and gaps by location and treatment type between 2000 and 2019. METHODS AND FINDINGS: A systematic review of the literature was conducted to identify relevant studies that provided data on treatment rates for MDD between January 1, 2000, and November 26, 2021, from 2 online scholarly databases PubMed and Embase. Cohort and cross-sectional studies were included if treatment rates pertaining to the last 12 months or less were reported directly or if sufficient information was available to calculate this along with 95% uncertainty intervals (UIs). Studies were included if they made use of population-based surveys that were representative of communities, countries, or regions under study. Studies were included if they used established diagnostic criteria to diagnose cases of MDD. Sample and methodological characteristics were extracted from selected studies. Treatment rates were modeled using a Bayesian meta-regression approach and adjusted for select covariates that quantified heterogeneity in the data. These covariates included age, sex, treatment type, location, and choice of MDD assessment tool. A total of 149 studies were included for quantitative analysis. Treatment coverage for health service use ranged from 51% [95% UI 20%, 82%] in high-income locations to 20% [95% UI 1%, 53%] in low- and lower middle-income locations. Treatment coverage for mental health service use ranged from 33% [95% UI 8%, 66%] in high-income locations to 8% [95% UI <1%, 36%] in low- and lower middle-income countries. Minimally adequate treatment (MAT) rates ranged from 23% [95% UI 2%, 55%] in high-income countries to 3% [95% UI <1%, 25%]) in low- and lower middle-income countries. A primary methodological limitation was the lack of sufficient data from low- and lower middle-income countries, which precluded our ability to provide more detailed treatment rate estimates. CONCLUSIONS: In this study, we observed that the treatment coverage for MDD continues to be low in many parts of the world and in particular in low- and lower middle-income countries. There is a continued need for routine data collection that will help obtain more accurate estimates of treatment coverage globally.

Real-world analysis of insurance churn among young adults with schizophrenia using the Colorado All-Payer Claims Database.

BACKGROUND: Most patients with schizophrenia are diagnosed in their early twenties and often have commercial insurance at diagnosis. These young adults can experience changes in insurance coverage, that is, "churn," which can lead to disruptions in care. OBJECTIVE: To examine the frequency, speed, and type of insurance churn events in a young adult schizophrenia population with commercial insurance coverage at diagnosis. METHODS: The Colorado All-Payer Claims Database, containing insurance claims data from commercial and public insurers for Colorado residents, was used for the study. Eligible patients were required to have at least 1 inpatient or 2 outpatient claims for schizophrenia or schizoaffective disorder, be of age 18-34 years at index, have previous insurance coverage for 12 consecutive months, and have commercial insurance at diagnosis. These patients were 1:5 propensity score matched (PSM) with nonschizophrenia members. Percentages of members on different insurance types were calculated monthly to assess churn events. Cohorts were compared using descriptive statistics, Cox proportional hazards, and generalized estimating equation models. RESULTS: The matched schizophrenia and nonschizophrenia cohorts comprised 501 and 2,510 members, respectively. Before PSM, cohorts were imbalanced (schizophrenia cohort had a younger median age and higher proportion of males). After matching, the cohorts were similar in terms of the matched baseline characteristics. Previous mental health disorders were more common in the schizophrenia cohort (75%) than in the nonschizophrenia cohort (26%). The proportion of members with at least 1 churn event for the schizophrenia and nonschizophrenia cohorts, respectively, were 53.8% vs 36.5% after 12 months and 84.6% vs 69.2% after 48 months. Time to first churn event was significantly shorter in the schizophrenia cohort (16 months) than the nonschizophrenia cohort (23 months; P < 0.001). Schizophrenia cohort members had 64.1 and 56.8 churn events per 1,000 members per month vs 43.0 (P ≤ 0.001) and 42.8 (P = 0.011) churn events for nonschizophrenia cohort members in the first and second 6-month periods, respectively. Proportions of members in the schizophrenia and nonschizophrenia cohorts on public insurance, respectively, were 22.9% vs 6.9% after 12 months and 52.4% and 10.7% after 48 months. In the schizophrenia cohort, the most common churn event type was from commercial to public insurance rather than to a different commercial insurance; notably, 41% of members were still on a commercial plan 4 years after diagnosis. CONCLUSIONS: Young adults with schizophrenia experienced churn events more rapidly and more frequently than those without schizophrenia for the first 4 years studied after the index date. These disruptions may be associated with reduced access to care and treatment gaps in this vulnerable patient population. DISCLOSURES: This research was sponsored by Janssen Scientific Affairs, LLC. Pesa, Benson, and Patel are employees of Janssen Scientific Affairs, LLC, and are stockholders of Johnson & Johnson. Potluri, Rotter, and Papademetriou are employees of SmartAnalyst Inc, and their work on this study was funded by Janssen Pharmaceuticals. A version of this study was presented as a poster at the Psych Congress 2020 Virtual Experience, September 10-13, 2020.

Elective versus nonelective brain tumor resections: a 5-year propensity score matching cost comparison analysis.

OBJECTIVE: Elective surgical cases generally have lower costs, higher profit margins, and better outcomes than nonelective cases. Investigating the differences in cost and profit between elective and nonelective cases would help hospitals in planning strategies to withstand financial losses due to potential pandemics. The authors sought to evaluate the exact cost and profit margin differences between elective and nonelective supratentorial tumor resections at a single institution. METHODS: The authors collected economic analysis data in all patients who underwent supratentorial tumor resection at their institution between January 2014 and December 2018. The patients were grouped into elective and nonelective cases. Propensity score matching was used to adjust for heterogeneity of baseline characteristics between the two groups. RESULTS: There were 143 elective cases and 232 nonelective cases over the 5 years. Patients in the majority of elective cases had private insurance and in the majority of nonelective cases the patients had Medicare/Medicaid (p < 0.01). The total charges were significantly lower for elective cases ($168,800.12) compared to nonelective cases ($254,839.30, p < 0.01). The profit margins were almost 6 times higher for elective than for nonelective cases ($13,025.28 vs $2,128.01, p = 0.04). After propensity score matching, there was still a significant difference between total charges and total cost. CONCLUSIONS: Elective supratentorial tumor resections were associated with significantly lower costs with shorter lengths of stay while also being roughly 6 times more profitable than nonelective cases. These findings may help future planning for hospital strategies to survive financial losses during future pandemics that require widespread cancellation of elective cases.

Trends in Use of Next-Generation Sequencing in Patients With Solid Tumors by Race and Ethnicity After Implementation of the Medicare National Coverage Determination.

Importance: In March 2018, Medicare issued a national coverage determination (NCD) for next-generation sequencing (NGS) to facilitate access to NGS testing among Medicare beneficiaries. It is unknown whether the NCD affected health equity issues for Medicare beneficiaries and the overall population. Objective: To examine the association between the Medicare NCD and NGS use by insurance types and race and ethnicity. Design, Setting, and Participants: A retrospective cohort analysis was conducted using electronic health record data derived from a real-world database. Data originated from approximately 280 cancer clinics (approximately 800 sites of care) in the US. Patients with advanced non-small cell lung cancer (aNSCLC), metastatic colorectal cancer (mCRC), metastatic breast cancer (mBC), or advanced melanoma diagnosed from January 1, 2011, through March 31, 2020, were included. Exposure: Pre- vs post-NCD period. Main Outcomes and Measures: Patients were classified by insurance type and race and ethnicity to examine patterns in NGS testing less than or equal to 60 days after diagnosis. Difference-in-differences models examined changes in average NGS testing in the pre- and post-NCD periods by race and ethnicity, and interrupted time-series analysis examined whether trends over time varied by insurance type and race and ethnicity. Results: Among 92 687 patients with aNSCLC, mCRC, mBC, or advanced melanoma, mean (SD) age was 66.6 (11.2) years, 51 582 (55.7%) were women, and 63 864 (68.9%) were Medicare beneficiaries. The largest racial and ethnic categories according to the database used and further classification were Black or African American (8605 [9.3%]) and non-Hispanic White (59 806 [64.5%]). Compared with Medicare beneficiaries, changes in pre- to post-NCD NGS testing trends were similar in commercially insured patients (odds ratio [OR], 1.03; 95% CI, 0.98-1.08; P = .25). Pre- to post-NCD NGS testing trends increased at a slower rate among patients in assistance programs (OR, 0.93; 95% CI, 0.87-0.99; P = .03) compared with Medicare beneficiaries. The rate of increase for patients receiving Medicaid was not statistically significantly different compared with those receiving Medicare (OR, 0.92; 95% CI, 0.84-1.01; P = .07). The NCD was not associated with statistically significant changes in NGS use trends by racial and ethnic groups within Medicare beneficiaries alone or across all insurance types. Compared with non-Hispanic White individuals, increases in average NGS use from the pre-NCD to post-NCD period were 14% lower (OR, 0.86; 95% CI, 0.74-0.99; P = .04) among African American and 23% lower (OR, 0.77; 95% CI, 0.62-0.96; P = .02) among Hispanic/Latino individuals; increases among Asian individuals and those with other races and ethnicities were similar. Conclusions and Relevance: The findings of this study suggest that expansion of Medicare-covered benefits may not occur equally across insurance types, thereby further widening or maintaining disparities in NGS testing. Additional efforts beyond coverage policies are needed to ensure equitable access to the benefits of precision medicine.

Analysis of Contraceptive Use Among Immigrant Women Following Expansion of Medicaid Coverage for Postpartum Care.

Importance: Access to postpartum care is restricted for low-income women who are recent or undocumented immigrants enrolled in Emergency Medicaid. Objective: To examine the association of a policy extending postpartum coverage to Emergency Medicaid recipients with attendance at postpartum visits and use of postpartum contraception. Design, Setting, and Participants: This cohort study linked Medicaid claims and birth certificate data from 2010 to 2019 to examine changes in postpartum care coverage on postpartum care and contraception use. A difference-in-difference design was used to compare the rollout of postpartum coverage in Oregon with a comparison state, South Carolina, which did not cover postpartum care. The study used 2 distinct assumptions to conduct the analyses: first, preintervention differences in postpartum visit attendance and contraceptive use would have remained constant if the policy expanding coverage had not been passed (parallel trends assumption), and second, differences in preintervention trends would have continued without the policy change (differential trend assumption). Data analysis was performed from September 2020 to October 2021. Exposures: Medicaid coverage of postpartum care. Main Outcomes and Measures: Attendance at postpartum visits and postpartum contraceptive use, defined as receipt of any contraceptive method within 60 days of delivery. Results: The study population consisted of 27 667 live births among 23 971 women (mean [SD] age, 29.4 [6.0] years) enrolled in Emergency Medicaid. The majority of all births were to multiparous women (21 289 women [76.9%]; standardized mean difference [SMD] = 0.08) and were delivered vaginally (20 042 births [72.4%]; SMD = 0.03) and at term (25 502 births [92.2%]; SMD = 0.01). Following Oregon's expansion of postpartum coverage to women in Emergency Medicaid, there was a large and significant increase in postpartum care visits and contraceptive use. Assuming parallel trends, postpartum care attendance increased by 40.6 percentage points (95% CI, 34.1-47.1 percentage points; P < .001) following the policy change. Under the differential trends assumption, postpartum visits increased by 47.9 percentage points (95% CI, 41.3-54.6 percentage points; P < .001). Postpartum contraception use increased similarly. Under the parallel trends assumption, postpartum contraception within 60 days increased by 33.2 percentage points (95% CI, 31.1-35.4 percentage points; P < .001). Assuming differential trends, postpartum contraception increased by 28.2 percentage points (95% CI, 25.8-30.6 percentage points; P < .001). Conclusions and Relevance: These findings suggest that expanding Emergency Medicaid benefits to include postpartum care is associated with significant improvements in receipt of postpartum care and contraceptive use.

The effect of expanded insurance coverage under the Affordable Care Act on emergency department utilization in New York.

BACKGROUND: One of the proposed benefits of expanding insurance coverage under the Affordable Care Act (ACA) was a reduction in emergency department (ED) utilization for non-urgent visits related to lack of health insurance coverage and access to primary care providers. The objective of this study was to estimate the effect of the 2014 ACA implementation on ED use in New York. METHODS: We used the Healthcare Cost and Utilization Project State Emergency Department and State Inpatient Databases for all outpatient and all inpatient visits for patients admitted through an ED from 2011 to 2016. We focused on in-state residents aged 18 to 64, who were covered under Medicaid, private insurance, or were uninsured prior to the 2014 expansion. We estimated the effect of the expanded insurance coverage on average monthly ED visits volumes and visits per 1000 residents (rates) using interrupted time-series regression analyses. RESULTS: After ACA implementation, overall average monthly ED visits increased by around 3.0%, both in volume (9362; 95% Confidence Intervals [CI]: 1681-17,522) and in rates (0.80, 95% CI:0.12-1.49). Medicaid covered ED visits volume increased by 23,972 visits (95% CI: 16,240 -31,704) while ED visits by the uninsured declined by 13,297 (95% CI:-15,856 - -10,737), and by 1453 (95% CI:-4027-1121) for the privately insured. Medicaid ED visits rates per 1000 residents increased by 0.77 (95% CI:-1.96-3.51) and by 2.18 (95% CI:-0.55-4.92) for those remaining uninsured, while private insurance visits rates decreased by 0.48 (95% CI:-0.79 - -0.18). We observed increases in primary-care treatable ED visits and in visits related to mental health and alcohol disorders, substance use, diabetes, and hypertension. All estimated changes in monthly ED visits after the expansion were statistically significant, except for ED visit rates among Medicaid beneficiaries. CONCLUSION: Net ED visits by adults 18 to 64 years of age increased in New York after the implementation of the ACA. Large increases in ED use by Medicaid beneficiaries were partially offset by reductions among the uninsured and those with private coverage. Our results suggest that efforts to expand health insurance coverage only will be unlikely to reverse the increase in ED use.

Association of medicaid expansion of the Affordable Care Act with the stage at diagnosis and treatment of papillary thyroid cancer: A difference-in-differences analysis.

BACKGROUND: The Affordable Care Act's (ACA) Medicaid expansion has increased insurance coverage and improved various cancer outcomes. Its impact in papillary thyroid cancer (PTC) remains unclear. METHODS: Non-elderly patients (40-64 years-old) with PTC living in low-income areas either in a 2014 expansion, or a non-expansion state were identified from the National Cancer Database between 2010 and 2016. Insurance coverage, stage at diagnosis, and RAI administration were analyzed using a difference-in-differences analysis. RESULTS: 10,644 patients were included. Compared with non-expansion states, the percentage of uninsured patients (adjusted-DD -2.6% [95%-CI -4.3to-0.8%],p = 0.004) and patients with private insurance decreased, and those with Medicaid coverage increased (adjusted-DD 9.7% [95%-CI 6.9-12.5%],p < 0.001) in expansion states after ACA implementation. The percentage of patients with pT1 did not differ between expansion and non-expansion states; neither did the use of RAI. CONCLUSIONS: Medicaid expansion has resulted in a smaller uninsured population in PTC patients, but without earlier disease presentation nor change in RAI treatment.