UNASSIGNED: In the US, routine vision care and medical services are often covered by separate insurance plans. Unmet needs for vision care are more common among adults with gaps in medical coverage, but it is unclear how gaps in medical coverage correlate with lack of vision benefits among currently insured adults. We hypothesized that gaps in medical coverage in the past 12 months would be associated with lack of coverage for vision care among US adults currently covered by commercial medical insurance.
UNASSIGNED: We included adults age 18-65 with private insurance who participated in the 2019-2022 National Health Interview Survey. The primary outcome was any coverage for vision care services, and the secondary outcome was a source of vision coverage (primary health insurance policy as compared to single-service plans only).
UNASSIGNED: Based on a sample of 50,000 participants, we estimated 4% of commercially insured adults recently experienced coverage gaps, and 75% had coverage for vision care services. On multivariable analysis, commercially insured adults with recent gaps in medical coverage were more likely to lack coverage for vision care at the time of the survey, compared to adults with continuous medical coverage (odds ratio [OR], 0.77; 95% CI: 0.68, 0.86). However, medical coverage gaps were not associated with source of vision care coverage.
UNASSIGNED: Gaps in medical insurance coverage were associated with lower likelihood of vision care coverage compared to continuous medical coverage. Protecting continuity of health insurance may support access to vision benefits and reduce gaps in routine vision care.

OBJECTIVE: Direct primary care (DPC) critics are concerned that the periodic fee precludes participation from vulnerable populations. The purpose is to describe the demographics and appointments of a, now closed, academic DPC clinic and determine whether there are differences in vulnerability between census tracts with and without any clinic patients.
METHODS: We linked geocoded data from the DPC\'s electronic health record with the social vulnerability index (SVI). To characterize users, we described their age, sex, language, membership, diagnoses, and appointments. Descriptive statistics included frequencies, proportions or medians, and interquartile ranges. To determine differences in SVI, we calculated a localized SVI percentile within Harris County. A t test assuming equal variances and Mann-Whitney U Tests were used to assess differences in SVI and all other census variables, respectively, between those tracts with and without any clinic patients.
RESULTS: We included 322 patients and 772 appointments. Patients were seen an average of 2.4 times and were predominantly female (58.4%). More than a third (37.3%) spoke Spanish. There was a mean of 3.68 ICD-10 codes per patient. Census tracts in which DPC patients lived had significantly higher SVI scores (ie, more vulnerable) than tracts where no DPC clinic patients resided (median, 0.60 vs 0.47, p-value < 0.05).
CONCLUSIONS: This academic DPC clinic cared for individuals living in vulnerable census tracts relative to those tracts without any clinic patients. The clinic, unfortunately, closed due to multiple obstacles. Nevertheless, this finding counters the perception that DPC clinics primarily draw from affluent neighborhoods.

BACKGROUND: India launched a national health insurance scheme named Ayushman Bharat Pradhan Mantri Jan Arogya Yojana (AB-PMJAY) in 2018 as a key policy for universal health coverage. The ambitious scheme covers 100 million poor households. None of the studies have examined its impact on the quality of care. The existing studies on the impact of AB-PMJAY on financial protection have been limited to early experiences of its implementation. Since then, the government has improved the scheme\'s design. The current study was aimed at evaluating the impact of AB-PMJAY on improving utilisation, quality, and financial protection for inpatient care after four years of its implementation.
METHODS: Two annual waves of household surveys were conducted for years 2021 and 2022 in Chhattisgarh state. The surveys had a sample representative of the state\'s population, covering around 15,000 individuals. Quality was measured in terms of patient satisfaction and length of stay. Financial protection was measured through indicators of catastrophic health expenditure at different thresholds. Multivariate adjusted models and propensity score matching were applied to examine the impacts of AB-PMJAY. In addition, the instrumental variable method was used to address the selection problem.
RESULTS: Enrollment under AB-PMJAY was not associated with increased utilisation of inpatient care. Among individuals enrolled under AB-PMJAY who utilised private hospitals, the proportion incurring catastrophic health expenditure at the threshold of 10% of annual consumption expenditure was 78.1% and 70.9% in 2021 and 2022, respectively. The utilisation of private hospitals was associated with greater catastrophic expenditure irrespective of AB-PMJAY coverage. Enrollment under AB-PMJAY was not associated with reduced out-of-pocket expenditure or catastrophic health expenditure.
CONCLUSIONS: AB-PMJAY has achieved a large coverage of the population but after four years of implementation and an evidence-based increase in reimbursement prices for hospitals, it has not made an impact on improving utilisation, quality, or financial protection. The private hospitals contracted under the scheme continued to overcharge patients, and purchasing was ineffective in regulating provider behaviour. Further research is recommended to assess the impact of publicly funded health insurance schemes on financial protection in other low- and middle-income countries.

Nearly all empirical studies that estimate the coefficients of a risk equalization formula present the value of the statistical measure R2. The R2-value is often (implicitly) interpreted as a measure of the extent to which the risk equalization payments remove the regulation-induced predictable profits and losses on the insured, with a higher R2-value indicating a better performance. In many cases, however, we do not know whether a model with R2 = 0.30 reduces the predictable profits and losses more than a model with R2 = 0.20. In this paper we argue that in the context of risk equalization R2 is hard to interpret as a measure of selection incentives, can lead to wrong and misleading conclusions when used as a measure of selection incentives, and is therefore not useful for measuring selection incentives. The same is true for related statistical measures such as the Mean Absolute Prediction Error (MAPE), Cumming\'s Prediction Measure (CPM) and the Payment System Fit (PSF). There are some exceptions where the R2 can be useful. Our recommendation is to either present the R2 with a clear, valid, and relevant interpretation or not to present the R2. The same holds for the related statistical measures MAPE, CPM and PSF.

Health disparities in cardiac critical care continue to pose significant challenges in achieving equitable access and outcomes for diverse populations. This literature review examines the disparities in access to and outcomes of cardiac critical care interventions across different populations, identifies barriers contributing to these disparities, and explores strategies to address them. A literature review was conducted by searching electronic databases for relevant articles published between January 2000 and May 2023. Studies focusing on health disparities in cardiac critical care, access to interventions, outcomes, and equity were included. Data were extracted and synthesized using a narrative approach. Disparities in access to cardiac critical care interventions were identified, including socioeconomic factors, lack of health insurance, geographic barriers, racial and ethnic disparities, language and cultural barriers, limited health literacy, and lack of awareness and education. These barriers led to delayed diagnoses, suboptimal utilization of interventions, and limited access to specialized cardiac care. Disparities in outcomes were also observed, with certain populations experiencing worse clinical outcomes and higher morbidity and mortality rates. This review emphasizes the existence of disparities in cardiac critical care and emphasizes the necessity for interventions to address these disparities. Specific strategies should concentrate on enhancing healthcare access, diminishing financial obstacles, expanding health insurance coverage, fostering patient-centered approaches, and harnessing telemedicine and technology. Collaborative efforts among policymakers, healthcare providers, researchers, and patient advocates are vital to advocate for policy changes and implement evidence-based interventions that foster equitable care. Future research should prioritize longitudinal studies, implementation science, patient engagement, global perspectives, and rigorous evaluation of intervention strategies to advance our knowledge and guide endeavors in reducing health disparities in cardiac critical care.

BACKGROUND: This study explores the utilization patterns of premium and nonpremium intraocular lenses (IOLs) under Taiwan\'s National Health Insurance, given the potential out-of-pocket expenses incurred by cataract surgery patients.
METHODS: A cross-sectional, population-based analysis was performed on patients who underwent IOL implantation between 2016 and 2020. IOLs were categorized into nonpremium and premium, with the latter further divided based on function. Logistic and multinomial logistic regression analyses were employed to identify factors influencing IOL implantation, with data stratified by medical institute type, ownership, and patient demographics.
RESULTS: In total, 1,194,805 IOLs were implanted during the study period. The rate of premium IOL implantation was lower compared to non-premium IOL implantation. However, the adoption rate of premium IOLs increased more rapidly than that of non-premium IOLs. Specifically, the adoption rate for premium IOLs was 35.2% in 2016, rising to 42.6% in 2020. Patients receiving treatment in clinics were considerably more likely to use nonpremium IOLs than were those receiving treatment in medical centers (12.7% higher probability for clinics; P < 0.001). The implantation of higher-end premium IOLs was more prevalent in clinics than in other medical institutes. The prevalence of premium IOL implantation was higher in private hospitals than in public hospitals (odds ratio: 1.403; P < 0.001). Premium IOLs were more commonly implanted in younger patients with higher income levels and without relative contraindications.
CONCLUSIONS: IOL selection is associated with both personal and institutional characteristics. These factors should be considered in public policy development aimed at regulating the IOL market within a universal health insurance framework.

BACKGROUND: In 2019, New York City (NYC) launched NYC Care (NYCC), a healthcare access program through NYC Health + Hospitals (H + H) for individuals who are ineligible for federally funded health insurance programs or cannot purchase insurance through the State Marketplace, predominantly undocumented individuals.
OBJECTIVE: To examine the sociodemographic characteristics, healthcare use patterns, and chronic disease quality measures for diabetes mellitus (DM) and hypertension among NYCC patients compared with Medicaid patients seen at NYC H + H.
METHODS: Observational study.
METHODS: Adults aged 18 years and older enrolled in NYCC (N = 83,003) or Medicaid (N = 512,012) as of January 1, 2022. Patients were included if they had at least one visit between January 1, 2021, and December 31, 2021.
METHODS: Sociodemographic characteristics, healthcare use patterns, and quality measures for DM and hypertension.
RESULTS: NYCC patients (n = 83,003) were, on average, older, more likely to be Hispanic with Spanish as their preferred language, had more comorbidities, and had more primary care (adjusted incidence rate ratio 2.75 [95% confidence interval 2.71, 2.80]) and specialty care (2.22 [2.17, 2.26]) visits compared to Medicaid patients (n = 512,012). Rates of emergency department visits were similar between the two groups (1.02 [1.00, 1.04]), but NYCC patients had relatively fewer hospitalizations (0.64 [0.62, 0.67]). NYCC patients with DM or hypertension had higher rates of having a documented hemoglobin A1c or blood pressure in 2022, respectively, and clinically similar rates of chronic disease control (mean difference in hemoglobin A1c - 0.05 [- 0.09, - 0.01] in patients with DM and mean difference in blood pressure - 0.38 [- 0.67, - 0.10]/ - 0.64 [- 0.82, - 0.46]) compared with Medicaid patients.
CONCLUSIONS: NYCC effectively enrolled a large number of uninsured participants and provided them with healthcare access similar to that of Medicaid patients. Future studies should evaluate the impact of NYCC enrollment on healthcare utilization and disease outcomes.

OBJECTIVE: Incarceration can result in adverse socioeconomic and health consequences for individuals who have been incarcerated; these consequences extend to their children and may have impacts into later adulthood.
OBJECTIVE: To examine the association of family member incarceration (FMI) during childhood and smoking and unhealthy drinking behaviors, access to care, and functional status in later adulthood.
METHODS: Adults aged 18-64 and ≥ 65 with and without FMI during childhood from 42 states and Washington DC from the 2019-2022 Behavioral Risk Factor Surveillance System.
METHODS: Having FMI history was defined as \"living with anyone during childhood who served time or was sentenced to serve time in a prison, jail, or other correctional facility.\" Study outcomes included 1) smoking and unhealthy drinking behaviors, 2) access to care (health insurance coverage, care affordability, having a usual source of care, and use of preventive services), and 3) functional status (e.g., having difficulty walking or climbing stairs).
RESULTS: After adjusting for demographic characteristics and other adverse childhood experiences, compared to adults without FMI, adults aged 18-64 with FMI were more likely to report any history of smoking or unhealthy drinking (adjusted odds ratio (AOR): 1.19, 95% confidence interval (CI): 1.11-1.28), any access to care problems (AOR: 1.26, 95% CI: 1.12-1.42), and any functional limitations (AOR: 1.18, 95% CI: 1.10-1.28); adults aged ≥ 65 with FMI reported higher likelihood of reporting any smoking or unhealthy drinking behaviors (AOR: 1.23, 95% CI: 1.05-1.43) and impaired functional status (AOR: 1.30, 95% CI: 1.10-1.54). Associations were attenuated after additional adjustment for socioeconomic measures, especially educational attainment, but remained statically significant for multiple outcomes.
CONCLUSIONS: FMI during childhood was associated with adverse health-related outcomes for adults of all ages. Developing programs to improve access to education and economic opportunities for adults with FMI may help mitigate the disparities.

Various features in health insurance schemes may lead to variation in healthcare. Unwarranted variations raise concerns about suboptimal quality of care, differing treatments for similar needs, or unnecessary financial burdens on patients and health systems. This realist review aims to explore insurance features that may contribute to healthcare variation in Asian countries; and to understand influencing mechanisms and contexts.
We undertook a realist review. First, we developed an initial theory. Second, we conducted a systematic review of peer-reviewed literature in Scopus, MEDLINE, EMBASE, and Web of Science to produce a middle range theory for Asian countries. The Mixed Methods Appraisal Tool (MMAT) was used to appraise the methodological quality of included studies. Finally, we tested the theory in Thailand by interviewing nine experts, and further refined the theory.
Our systematic search identified 14 empirical studies. We produced a middle range theory in a context-mechanism-outcome configuration (CMOc) which presented seven insurance features: benefit package, cost-sharing policies, beneficiaries, contracted providers, provider payment methods, budget size, and administration and management, that influenced variation through 20 interlinked demand- and supply-side mechanisms. The refined theory for Thailand added eight mechanisms and discarded six mechanisms irrelevant to the local context.
Our middle range and refined theories provide information about health insurance features associated with healthcare variation. We encourage policy-makers and researchers to test the CMOc in their specific contexts. Appropriately validated, it can help design interventions in health insurance schemes to prevent or mitigate the detrimental effects of unwarranted healthcare variation.

Overdose deaths from prescription opioids remain elevated, and policymakers seek solutions to curb opioid misuse. Recent proposals call for price-based solutions, such as opioid taxes and removal of opioids from insurance formularies. However, there is limited evidence on how opioid consumption responds to price stimuli. This study addresses that gap by estimating the effects of prices on the utilization of opioids, as well as other prescription painkillers. I use nationally representative individual-level data on prescription drug purchases and exploit the introduction of Medicare Part D in 2006 as an exogenous change in out-of-pocket drug prices. I find that new users have a relatively high price elasticity of demand for prescription opioids, and that consumers treat over-the-counter painkillers as substitutes for prescription painkillers. My results suggest that increasing out-of-pocket prices of opioids, through formulary design or taxes, may be effective in reducing new opioid use.