Access to healthcare services and factors associated with unmet needs among migrants in Phuket Province, Thailand, 2023: a cross-sectional mixed-method study.

BACKGROUND: Phuket Province is a major tourist destination with a migrant workforce accounting for 10% of its population. Despite governmental efforts to adjust health insurance policies, migrants face healthcare access challenges. This study examines the current healthcare access situation and factors associated with unmet needs among migrants in Phuket Province. METHODS: We used a cross-sectional mixed-methods approach, recruiting participants through snowball sampling from the Migrant Health Volunteer Network. Quantitative data were gathered using self-administered questionnaires, with unmet need defined as desired outpatient or recommended inpatient services not received at government hospitals. Multivariable logistic regression identified unmet need predictors, and we assessed the mediating effect of health insurance status. Qualitative data from three focus groups on healthcare access provided context and enriched the quantitative findings. RESULTS: This study includes 296 migrants mainly from Myanmar. The overall unmet need prevalence was 14.86%, mainly attributed to having undocumented status (34.09%), affordability issues (20.45%), and language barriers (18.18%). Working in the fishery industry significantly increased unmet needs risk (aOR 2.68, 95% CI 1.08-6.62). Undocumented status contributed a marginal total effect of 4.86 (95% CI 1.62-14.54), with a natural indirect effect through uninsured status of only 1.16 (95% CI 0.88-1.52). Focus group participants used various medical resources, with insured individuals preferring hospital care, but faced obstacles due to undocumented status and language barriers. CONCLUSION: Valid legal documents, including work permits and visas, are crucial for healthcare access. Attention to fishery industry practices is needed. We recommend stakeholder discussions to streamline the process of obtaining and maintaining these documents for migrant workers. These improvements could enhance health insurance acquisition and ultimately improve healthcare affordability for this population. These insights could be applied to migrant workers in other urban and suburban area of Thailand regarding access to government healthcare facilities.

High-Deductible Health Insurance May Exacerbate Racial And Ethnic Wealth Disparities.

This study examined the equity implications of high-deductible health plans within the context of racial and ethnic wealth disparities. Using restricted data from the Medical Expenditure Panel Survey, we evaluated the net worth (in 2011-18) and financial assets (in 2011-16) of families with private insurance and those in high-deductible health plans with and without an associated health savings account. Our results represent, to our knowledge, the first estimates of racial and ethnic wealth disparities within these populations. Results show that White households consistently held significantly more wealth than did Black and Hispanic households across income levels. In the lowest income quartile, White privately insured families had more than 350 percent more in financial assets than their Black counterparts. Low-income Black and Hispanic families with high-deductible health plans but no savings accounts had median financial assets ($2,200 and $2,000, respectively) that were well below the average family coverage deductible. Study findings highlight the role of systemic racial wealth disparities, beyond that of income, to establish a unique pathway whereby high deductibles can exacerbate health care inequities.

Medicare Part D Protected-Class Policy Is Associated With Lower Drug Rebates.

Medicare Part D does not allow plans to exclude drugs in six protected classes from their formularies, which may limit plans' ability to negotiate rebates and lead to higher spending. We estimated the association between protected-class status, US-level estimated rebates, and formulary coverage during the period 2011-19. We found that protected classes indeed had significantly lower exclusion rates in Medicare Part D during this period relative to nonprotected classes, and this difference was larger than the corresponding difference in commercial plans. US-level average rebates grew 22.5 percentage points less in protected than in nonprotected classes during 2011-19, a period when formulary exclusions increased. Relative to nonprotected classes, US-level average rebates in protected classes were especially low among drugs with high Medicare market share. These results suggest that Medicare Part D protected-class policy may reduce rebates.

Implementation Of New Mexico's 'No Behavioral Health Cost Sharing' Law: A Qualitative Study.

Out-of-pocket spending is a long-standing challenge for privately insured people. New Mexico passed the first US law prohibiting private insurers from applying cost sharing to behavioral health treatment, effective January 1, 2022. We examined the perceptions of key informants, including clinicians, insurers, and state officials, about implementing the No Behavioral Health Cost Sharing law to explore how it might affect downstream outcomes such as spending and access. The law was viewed favorably and implemented without much difficulty. Clinicians noted widespread positive impacts, particularly for those needing intensive treatment. However, they worried about workforce capacity and the exclusion of people covered under self-insured employer plans, which are exempt from state regulation under the Employee Retirement Income Security Act (ERISA) of 1974. Insurers found the law to be in alignment with their organizational goals, but they expressed concern about the administrative burden caused by increased reviews of claims, and some were monitoring for unintended consequences (for example, waste and fraud) that could lead to increased premiums. Engagement strategies were needed to inform eligible members and facilitate enrollment in eligible plans. The law provides a potential model for states to improve access to behavioral health care, but impacts may be limited by factors such as workforce, awareness, and federal ERISA constraints.

Risk Factors for Adults with Chronic Obstructive Pulmonary Disease in the United States, Utilizing State-Based Surveillance.

Chronic Obstructive Pulmonary Disease (COPD) is a complex and heterogeneous condition. Exposure to tobacco smoke and air pollutants are key risk factors for COPD development; however, other risk factors include race/ethnicity, sex of adults, a history of asthma, occupational exposures, and chronic respiratory infections. Data for the current study were from the 2022 Behavioral Risk Factor Surveillance Survey. Chi-squares and multinomial logistic regression analyses, adjusted with the survey's sampling weight, were used to examine how critical health indicators impacted a COPD diagnosis. Participants (N = 311,175) were adults aged 45 years and older. Adjusted multinomial regression analyses showed adults who reported asthma, current and former smoking, poor physical health, depression, less physical activity, and fatigue were more likely to report COPD. Those with COPD were more likely to be male than female. Moreover, those with COPD reported higher rates of health insurance coverage, and yet had lower income and more financial difficulty affording a doctor for health services. In a follow up regression analysis, examining racial differences in COPD for participants, American Indian adults had a higher odds of reporting COPD than the "other" race groups. Because COPD remains a leading cause of death and disability in the U.S., and racial disparities persist in respiratory outcomes, continuing to identify risk factors for vulnerable groups could assist health program planners with development of successful health messaging.

Segregation by Payer in Obstetrics and Gynecology Residency Ambulatory Care Sites.

Importance: Many teaching hospitals in the US segregate patients by insurance status, with resident clinics primarily composed of publicly insured or uninsured patients and faculty practices seeing privately insured patients. The prevalence of this model in obstetrics and gynecology residencies is unknown. Objectives: To examine the prevalence of payer-based segregation in obstetrics and gynecology residency ambulatory care sites nationally and to compare residents' and program directors' perceptions of differences in quality of care between payer-segregated and integrated sites. Design, Setting, and Participants: This national survey study included all 6060 obstetrics and gynecology residents and 293 obstetrics and gynecology residency program directors in the US as of January 2023. The proportion of program directors reporting payer segregation was calculated to characterize the national prevalence of this model in obstetrics and gynecology. Perceived differences in care quality were compared between residents and program directors at payer-segregated sites. Main Outcome and Measures: The primary measure was prevalence of payer-based segregation in obstetrics and gynecology residency programs in the US as reported by residency program directors. The secondary measure was resident and program director perceptions of care quality in these ambulatory care settings. Before study initiation, the study hypothesis was that residents and program directors at ambulatory sites with payer-based segregation would report more disparity in perceived health care quality between resident and faculty practices compared with those from integrated sites. Results: A total of 251 residency program directors (response rate, 85.7%) and 3471 residents (response rate, 57.3%) were included in the study. Resident respondent demographics reflected demographics of obstetrics and gynecology residents nationally in terms of racial and ethnic distribution (6 [0.2%] American Indian or Alaska Native; 425 [13.0%] Asian; 239 [7.3%] Black or African American; 290 [8.9%] Hispanic, Latinx, or Spanish; 7 [0.2%] Native Hawaiian or Other Pacific Islander; 2052 [62.7%] non-Hispanic White; 49 [1.5%] multiracial; 56 [1.7%] other [any race not listed]; and 137 [4.2%] preferred not to say) and geographic distribution (regional prevalence of payer-based segregation: 36 of 53 [67.9%] in the Northeast, 35 of 44 [79.5%] in the Midwest, 43 of 67 [64.2%] in the South, and 13 of 22 [59.1%] in the West), with 2837 respondents (86.9%) identifying as female. Among program directors, 127 (68.3%) reported payer-based segregation in ambulatory care. University programs were more likely to report payer-based segregation compared with community, hybrid, and military programs (63 of 85 [74.1%] vs 31 of 46 [67.4%], 32 of 51 [62.7%], and 0, respectively; P = .04). Residents at payer-segregated programs were less likely than their counterparts at integrated programs to report equal or higher care quality from residents compared with faculty (1662 [68.7%] vs 692 [81.6%] at segregated and integrated programs, respectively; P < .001). Conclusions and Relevance: In this survey study of residents and residency program directors, payer-based segregation was prevalent in obstetrics and gynecology residency programs, particularly at university programs. These findings reveal an opportunity for structural reform to promote more equitable care in residency training programs.

Social Determinants of Health and Insurance Claim Denials for Preventive Care.

Importance: The Patient Protection and Affordable Care Act (ACA) eliminated out-of-pocket cost-sharing for recommended preventive care for most privately insured patients. However, patients seeking preventive care continue to face cost-sharing and administrative hurdles, including claim denials, which may exacerbate inequitable access to care. Objective: To determine whether patient demographics and social determinants of health are associated with denials of insurance claims for preventive care. Design, Setting, and Participants: This cohort study of patients insured through their employers or the ACA Marketplaces used claims and remittance data from Symphony Health Solutions' Integrated DataVerse from 2017 to 2020; analysis was completed from January to July 2024. Exposure: Seeking preventive care. Main Outcomes and Measures: The primary outcome was the frequency of insurer denials for preventive services across 5 categories: specific benefit denials, billing errors, coverage lapses, inadequate coverage, and other. Subgroup analysis was performed across patient household income, education, and race and ethnicity. Secondary outcomes included charges for denied claims, approximating patients' remaining financial responsibility for care. Results: A total of 1 535 181 patients received 4 218 512 preventive services in 2 507 943 unique visits (mean [SD] age at visits, 54.02 [13.19] years; 1 804 637 visits for female patients [71.96%]); 585 299 patients (23.30%) had an annual household income $100 000 or higher, and 824 540 patients had some college education (32.88%). A total of 20 658 individuals (0.82%) were Asian, 139 950 (5.58%) were Hispanic, 219 646 (8.76%) were non-Hispanic Black, 1 372 223 (54.72%) were non-Hispanic White, and 25 412 (1.0%1) were other races and ethnicities not included in the other 4 groups. Of preventive claims, 1.34% (95% CI, 1.32%-1.36%) were denied, consisting mainly of specific benefit denials (0.67%; 95% CI, 0.66%-0.68%) and billing errors (0.51%; 95% CI, 0.50%-0.52%). The lowest-income patients had 43.0% higher odds of experiencing a denial than the highest-income patients (odds ratio, 1.43; 95% CI, 1.37-1.50; P < .001). The least educated enrollees had a denial rate of 1.79% (95% CI, 1.76%-1.82%) compared with 1.14% (95% CI, 1.12%-1.16%) for enrollees with college degrees. Denial rates for Asian (2.72%; 95% CI, 2.55%-2.90%), Hispanic (2.44%; 95% CI, 2.38%-2.50%), and non-Hispanic Black (2.04%; 95% CI, 1.99%-2.08%) patients were significantly higher than those for non-Hispanic White patients (1.13%; 95% CI, 1.12%-1.15%). Conclusions and Relevance: In this cohort study of 1 535 181 patients seeking preventive care, denials of insurance claims for preventive care were disproportionately more common among at-risk patient populations. This administrative burden potentially perpetuates inequitable access to high-value health care.

Heterogeneous effects of Medicaid coverage on cardiovascular risk factors: secondary analysis of randomized controlled trial.

OBJECTIVES: To investigate whether health insurance generated improvements in cardiovascular risk factors (blood pressure and hemoglobin A1c (HbA1c) levels) for identifiable subpopulations, and using machine learning to identify characteristics of people predicted to benefit highly. DESIGN: Secondary analysis of randomized controlled trial. SETTING: Medicaid insurance coverage in 2008 for adults on low incomes (defined as lower than the federal-defined poverty line) in Oregon who were uninsured. PARTICIPANTS: 12 134 participants from the Oregon Health Insurance Experiment with in-person data for health outcomes for both treatment and control groups. INTERVENTIONS: Health insurance (Medicaid) coverage. MAIN OUTCOMES MEASURES: The conditional local average treatment effects of Medicaid coverage on systolic blood pressure and HbA1c using a machine learning causal forest algorithm (with instrumental variables). Characteristics of individuals with positive predicted benefits of Medicaid coverage based on the algorithm were compared with the characteristics of others. The effect of Medicaid coverage was calculated on blood pressure and HbA1c among individuals with high predicted benefits. RESULTS: In the in-person interview survey, mean systolic blood pressure was 119 (standard deviation 17) mm Hg and mean HbA1c concentrations was 5.3% (standard deviation 0.6%). Our causal forest model showed heterogeneity in the effect of Medicaid coverage on systolic blood pressure and HbA1c. Individuals with lower baseline healthcare charges, for example, had higher predicted benefits from gaining Medicaid coverage. Medicaid coverage significantly lowered systolic blood pressure (-4.96 mm Hg (95% confidence interval -7.80 to -2.48)) for people predicted to benefit highly. HbA1c was also significantly reduced by Medicaid coverage for people with high predicted benefits, but the size was not clinically meaningful (-0.12% (-0.25% to -0.01%)). CONCLUSIONS: Although Medicaid coverage did not improve cardiovascular risk factors on average, substantial heterogeneity was noted in the effects within that population. Individuals with high predicted benefits were more likely to have no or low prior healthcare charges, for example. Our findings suggest that Medicaid coverage leads to improved cardiovascular risk factors for some, particularly for blood pressure, although those benefits may be diluted by individuals who did not experience benefits.

Relationship Between Insurance Status and Receipt of Cardiac Tests and Procedures During Hospitalization: A Cross-Sectional Study.

BACKGROUND: Prior analyses of the relationship between insurance status and receipt of tests and procedures have yielded conflicting findings and have focused on outpatient care. We sought to characterize the relationship between primary payer and diagnostic and procedural intensity, comparing rates of cardiac tests and procedures in matched hospitalized Medicaid and commercially insured patients. METHODS AND RESULTS: We created a propensity score-matched sample of Medicaid and commercially insured adults hospitalized at all acute care hospitals in Kentucky, Maryland, New Jersey, and North Carolina from 2016 to 2018. The main outcome was receipt of a cardiac test or procedure: echocardiogram, stress test, cardiac catheterization (elective, in acute coronary syndrome, in ST-segment-elevation myocardial infarction), and pacemaker and subcutaneous cardiac rhythm monitor implantation. Generalized linear models with a hospital-specific indicator variable were estimated to calculate the adjusted odds of a commercially insured patient receiving a given test or procedure relative to a Medicaid patient. Models controlled for race, ethnicity, and zip code income quartile. Commercially insured patients were more likely to receive each cardiac test or procedure, with adjusted odds ratios ranging from 1.16 (95% CI, 1.00-1.34) for cardiac catheterization in ST-segment-elevation myocardial infarction to 1.40 (95% CI, 1.27-1.54) for pacemaker implantation. CONCLUSIONS: Hospitalized commercially insured patients were more likely to undergo a range of cardiac tests and procedures, some of which may represent low-value care. This may be driven by a combination of physician and patient preference, financial incentives, and social determinants of health. Our findings support the need for hospital payment models focused on increasing value and reducing inequities.

Enhancing seniors' dental care access: Analyzing the impact of government insurance in Canada.

A crucial policy question for the government is whether publicly funded insurance programs effectively improve access to care. Using 2015 and 2018 Canadian Community Health Survey (CCHS) data, we first estimated the effect of government dental insurance for seniors on promoting regular care access and lowering cost barrier. When controlling for individual heterogeneity, we found that having government coverage is associated with significantly lower probability of reporting avoidance of dental care due to cost compared to having no coverage. This effect is comparable with other types of insurance. However, the impact of the government program on regular access to dental care is modest. Secondly, using a portion of data collected in Alberta, we found that the government plan does not increase the overall coverage rate. Moreover, switching from an employer-based plan to government-provided coverage for seniors reduces the probability of regular access to care and increases the probability of experiencing cost barrier. This finding indicates that without expansion of overall coverage rate, the current government dental program may not be generous enough to offset the negative impact of leaving the employer-based plan.

Redefining Cancer Screening Coverage-Screening to Diagnosis.

This Viewpoint discusses financial barriers for additional diagnostic steps after patients receive abnormal cancer screening test results.

Analysis of Dental Prosthetic Treatment in Patients with Cancer Aged 65 Years and Older after Expanded Health Insurance Coverage: A Retrospective Clinical Study.

Background and Objectives: With increases in cancer incidence and the number of cancer survivors, the demand for cancer management is growing. However, studies on dental prosthetic treatment for patients with cancer are rare. We aim to investigate the dental prosthetic treatment in patients with cancer aged ≥65 years after expanded health insurance coverage. Materials and Methods: This retrospective study included patients who were treated with implants and removable dentures at Ulsan University Hospital in South Korea between June 2015 and June 2023. Data on age, sex, cancer location, comorbid systemic diseases, number of remaining teeth, dental prosthetic treatment history, type of dental prosthetic treatment, and insurance coverage status were extracted from patient medical records and panoramic radiographs. The influence of multiple variables on dental prosthetic treatment was analyzed using the Chi-square and Fisher's exact tests. Results: The study included 61 patients with cancer (32 men, 29 women; average age: 70.9 years). Among them, 56 (91.8%) had insurance coverage benefits, and 34 (55.7%) received treatments such as implants, removable partial dentures, or complete dentures for the first time. Treatment types included 37 (60.7%) cases of implant prostheses and 24 (39.3%) conventional removable dentures. No statistical differences were observed in the type of dental prosthetic treatment according to sex, age, cancer location, number of systemic diseases, and dental prosthetic treatment history (p > 0.05). Patients with <10 remaining teeth received treatment with conventional removable dentures, which was statistically significant (p < 0.001). Conclusions: Of the 61 patients, 56 (91.8%) received insurance benefits, and 34 (55.7%) underwent dental prosthetic treatment for the first time. Within the limitations of this retrospective study, the expanded health insurance coverage alleviated the unmet demand for dental prosthetic treatment. As cancer prevalence continues to increase, expanding customized health insurance coverage is crucial to meet this demand.

Effects of the Families First Coronavirus Response Act on Coverage Continuity and Access for Medicaid Beneficiaries.

The Families First Coronavirus Response Act (FFCRA) enacted in March 2020 prohibited states from redetermining Medicaid eligibility until March 31st, 2023. However, there has been little direct evidence on how the FFCRA affected coverage continuity, health care access and utilization among Medicaid beneficiaries. In this cross-sectional study, we employ data from the 2015 to 2022 National Health Interview Survey and a difference-in-differences design to study the FFCRA effects by comparing changes in outcomes between Medicaid and privately insured individuals over time. The sample is limited to non-elderly adults aged 19 to 64 years with income below 300% of the federal poverty level. We find that Medicaid beneficiaries experienced a decline in coverage interruptions in 2021 and 2022 relative to privately insured individuals. Additionally, Medicaid beneficiaries had improved access in 2021, with less reporting of unaffordable healthcare needs and delayed medical care due to cost. There were no discernable effects on hospitalizations, ED visits, and doctor/health professional visits. The continuous Medicaid coverage provision under the FFCRA was associated with enhanced coverage stability and improved access to care for Medicaid beneficiaries. Findings highlight potential benefits from new policy initiatives to improve Medicaid coverage continuity.

Glycemic control in diabetic patients improved overall lung cancer survival across diverse populations.

BACKGROUND: The consequence of diabetes on lung cancer overall survival (OS) is debated. This retrospective study used 2 large lung cancer databases to assess comprehensively diabetes effects on lung cancer OS in diverse demographic populations, including health disparity. METHODS: The University of Texas MD Anderson Cancer Center database (32 643 lung cancer patients with 11 973 patients with diabetes) was extracted from electronic health records (EHRs) using natural language processing (NLP). Associations were between diabetes and lung cancer prognostic features (age, sex, race, body mass index [BMI], insurance status, smoking, stage, and histopathology). Hemoglobin A1C (HgbA1c) and glucose levels assessed glycemic control. Validation was with a Louisiana cohort (17 768 lung cancer patients with 5402 patients with diabetes) enriched for health disparity cases. Kaplan-Meier analysis, log-rank test, multivariable Cox proportional hazard models, and survival tree analyses were employed. RESULTS: Lung cancer patients with diabetes exhibited marginally elevated OS or no statistically significant difference versus nondiabetic patients. When examining OS for 2 glycemic levels (HgbA1c > 7.0 or glucose > 154 mg/dL vs HgbA1c > 9.0 or glucose > 215 mg/dL), a statistically significant improvement in OS occurred in lung cancer patients with controlled versus uncontrolled glycemia (P < .0001). This improvement spanned sex, age, smoking status, insurance status, stage, race, BMI, histopathology, and therapy. Survival tree analysis revealed that obese and morbidly obese patients with controlled glycemia had higher lung cancer OS than comparison groups. CONCLUSION: These findings indicate a need for optimal glycemic control to improve lung cancer OS in diverse populations with diabetes.

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.