Achieving Cancer Equity by Improving Health Insurance Access for All Latinos.

Cancer is the top leading cause of death among Latino people. Lack of health insurance is a significant contributor to inadequate cancer detection and treatment. Despite healthcare policy expansions such as the Affordable Care Act, Latino people persistently maintain the highest uninsured rate among any ethnic and racial group in the US, especially among Latino individuals who are immigrants or part of a mixed immigration status household. Recognizing that immigration status is a critical factor in the ability of Latino community members to seek health insurance and access healthcare services, a few US states and the District of Columbia have implemented policies that have expanded coverage to children and adults regardless of immigration status. Expansion of Medicaid eligibility regardless of immigration status may significantly benefit Latino communities, however the facilitators and barriers to enrolling in these programs need to be evaluated to ensure reach and achieve health equity across the cancer control continuum for all Latinos.

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.

Postpartum Insurance Loss: Predicting Factors, Associations with Postpartum Health Service Utilization, and the Role of Medicaid Expansion.

OBJECTIVES: This study investigated the predictors of postpartum insurance loss (PPIL), assessed its association with postpartum healthcare receipt, and explored the potential buffering role of Medicaid expansion. METHODS: Data from the 2016-2020 Pregnancy Risk Assessment Monitoring System (PRAMS) were analyzed, covering 197,820 individuals with live births. PPIL was determined via self-reported insurance status before and after pregnancy. Postpartum visits and depression screening served as key health service receipt indicators. The association between PPIL and maternal characteristics was examined using bivariate analysis. The association of PPIL with health service receipt was assessed through odds ratios derived from multivariate logistic regression models. The role of Medicaid expansion was explored by interacting ACA Medicaid expansion status with the dichotomous PPIL indicator. RESULTS: PPIL was experienced by 7.8% of postpartum people, with higher rates in Medicaid non-expansion states (13.6%) compared to 6.1% in expansion states (p < 0.05). Racial and ethnic disparities were observed, with 16.5% of Hispanic and 4.6% of white people experiencing PPIL. Individuals who experienced PPIL had decreased odds of attending postpartum visits (adjusted odds ratio (aOR) = 0.81, 95% CI = 0.73-0.90) and receiving screening for postpartum depression (aOR = 0.86, 95% CI = 0.78-0.96) compared to those who maintained insurance coverage. People in expansion states with no PPIL had higher odds of postpartum depression screening (aOR = 1.33, 95% CI = 1.08-1.62). No differences in postpartum visits in expansion versus non-expansion were noted (aOR = 1.13, 95% CI = 0.93-1.36). CONCLUSIONS FOR PRACTICE: Ensuring consistent postpartum insurance coverage offers policymakers a chance to enhance healthcare access and outcomes, particularly for vulnerable groups.

The Annual Cost of Cancer Screening in the United States.

BACKGROUND: Cancer has substantial health, quality-of-life, and economic impacts. Screening may decrease cancer mortality and treatment costs, but the cost of screening in the United States is unknown. OBJECTIVE: To estimate the annual cost of initial cancer screening (that is, screening without follow-up costs) in the United States in 2021. DESIGN: Model using national health care survey and cost resources data. SETTING: U.S. health care systems and institutions. PARTICIPANTS: People eligible for breast, cervical, colorectal, lung, and prostate cancer screening with available data. MEASUREMENTS: The number of people screened and associated health care system costs by insurance status in 2021 dollars. RESULTS: Total health care system costs for initial cancer screenings in the United States in 2021 were estimated at $43 billion. Approximately 88.3% of costs were attributable to private insurance; 8.5% to Medicare; and 3.2% to Medicaid, other government programs, and uninsured persons. Screening for colorectal cancer represented approximately 64% of the total cost; screening colonoscopy represented about 55% of the total. Facility costs (amounts paid to facilities where testing occurred) were major drivers of the total estimated costs of screening. LIMITATIONS: All data on receipt of cancer screening are based on self-report from national health care surveys. Estimates do not include costs of follow-up for positive or abnormal screening results. Variations in costs based on geography and provider or health care organization are not fully captured. CONCLUSION: The $43 billion estimated annual cost for initial cancer screening in the United States in 2021 is less than the reported annual cost of cancer treatment in the United States in the first 12 months after diagnosis. Identification of cancer screening costs and their drivers is critical to help inform policy and develop programmatic priorities, particularly for enhancing access to recommended cancer screening services. PRIMARY FUNDING SOURCE: None.

Insurance-Related Disparities in Withdrawal of Life Support and Mortality After Spinal Cord Injury.

Importance: Identifying disparities in health outcomes related to modifiable patient factors can improve patient care. Objective: To compare likelihood of withdrawal of life-supporting treatment (WLST) and mortality in patients with complete cervical spinal cord injury (SCI) with different types of insurance. Design, Setting, and Participants: This retrospective cohort study collected data between 2013 and 2020 from 498 trauma centers participating in the Trauma Quality Improvement Program. Participants included adult patients (older than 16 years) with complete cervical SCI. Data were analyzed from November 1, 2023, through May 18, 2024. Exposure: Uninsured or public insurance compared with private insurance. Main Outcomes and Measures: Coprimary outcomes were WLST and mortality. The adjusted odds ratio (aOR) of each outcome was estimated using hierarchical logistic regression. Propensity score matching was used as an alternative analysis to compare public and privately insured patients. Process of care outcomes, including the occurrence of a hospital complication and length of stay, were compared between matched patients. Results: The study included 8421 patients with complete cervical SCI treated across 498 trauma centers (mean [SD] age, 49.1 [20.2] years; 6742 male [80.1%]). Among the 3524 patients with private insurance, 503 had WLST (14.3%) and 756 died (21.5%). Among the 3957 patients with public insurance, 906 had WLST (22.2%) and 1209 died (30.6%). Among the 940 uninsured patients, 156 had WLST (16.6%) and 318 died (33.8%). A significant difference was found between uninsured and privately insured patients in the adjusted odds of WLST (aOR, 1.49; 95% CI, 1.11-2.01) and mortality (aOR, 1.98; 95% CI, 1.50-2.60). Similar results were found in subgroup analyses. Matched public compared with private insurance patients were found to have significantly greater odds of hospital complications (odds ratio, 1.27; 95% CI, 1.14-1.42) and longer hospital stay (mean difference 5.90 days; 95% CI, 4.64-7.20), which was redemonstrated on subgroup analyses. Conclusions and Relevance: Health insurance type was associated with significant differences in the odds of WLST, mortality, hospital complications, and days in hospital among patients with complete cervical SCI in this study. Future work is needed to incorporate patient perspectives and identify strategies to close the quality gap for the large number of patients without private insurance.

Gerrymandering and the Packing and Cracking of Medical Uninsurance Rates in the United States.

CONTEXT: Technological innovation and access to big data have allowed partisan gerrymandering to increase dramatically in recent redistricting cycles. OBJECTIVE: To understand whether and how partisan gerrymandering, including "packing" and "cracking" (ie, respectively concentrating within or dividing specified social groups across political boundaries), distorts understanding of public health need when health statistics are calculated for congressional districts (CDs). DESIGN: Cross-sectional study using 2020 CDs and nonpartisan simulated districts. SETTING: United States, 2017-2021. PARTICIPANTS: United States residents. MAIN OUTCOME MEASURE: Percent with no medical insurance (uninsured), within-district variance of percent uninsured, and between-district variance of percent uninsured. RESULTS: At the state level, states where partisan redistricting plans showed greater evidence of partisan gerrymandering were more likely to contain CDs with more extreme values of uninsurance rates than districts in states with less evidence for gerrymandering (association between z-scores for gerrymandering and between-district variation in uninsurance = 0.25 (-0.04, 0.53), P  = .10). Comparing variation in uninsurance rates for observed CDs vs nonpartisan simulated districts across all states with more than 1 CD, in analyses stratified by state gerrymander status (no gerrymander, Democratic gerrymander, and Republican gerrymander), we found evidence of particularly extreme distortion of rates in Republican gerrymandered states, whereby Republican-leaning districts tended to have lower uninsurance rates (the percentage of Republican-leaning districts that were significantly lower than nonpartisan simulated districts was 5.1 times that of Democratic-leaning districts) and Democrat-leaning districts had higher uninsurance rates (the percentage of Democrat-leaning districts that were significantly higher than nonpartisan simulated districts was 3.0 times that of Republican-leaning districts). CONCLUSIONS: Partisan gerrymandering can affect determination of CD-level uninsurance rates and distort understanding of public health burdens.

Impact of Patient Demographics on Student-Led Patient Navigation Outcomes: A Study of a South Florida Medical School's Patient Navigation Program.

OBJECTIVES: Medical student-run patient navigation (PN) programs enhance healthcare access in underserved communities. This study examines the relationship between patient demographics and PN outcomes in a student-led PN program. METHODS: Patients with moderate or high-risk health concerns were paired with medical students at health fairs. Statistical analysis evaluates program success and demographic influences. RESULTS: Of 444 patients, 66.4% were female, 47.1% Hispanic White, 49.1% spoke English, and 63.7% earned <300% of the federal poverty level. More than half were uninsured and 52.5% achieved navigation goals. Insurance status and risk level significantly predicted PN outcomes, with "other insurance" and high-risk patients being 1.9 and 1.7 times more likely to complete navigation. CONCLUSIONS: The program achieved high completion rates, emphasizing the need for resources such as translators and financial assistance. Risk stratification successfully linked acute cases to resources. Navigation success was consistent, demonstrating the effectiveness of the program across diverse patient groups.

Unhoused and Injured: Injury Characteristics and Outcomes in Unhoused Trauma Patients.

INTRODUCTION: The unhoused population is known to be at high risk for traumatic injury. However, there are scarce data regarding injury patterns and outcomes for this patient group. This study aims to investigate any differences in injury characteristics and hospital outcomes between unhoused and housed patients presenting with traumatic injuries. METHODS: We conducted a 3-y retrospective cohort study at a level 1 trauma center in a metropolitan area with a large unhoused population. All adult trauma patients who were identified as unhoused or housed underinsured (HUI) were included in the study. Injury characteristics, comorbidities, and hospital outcomes were compared between the two groups. RESULTS: A total of 8450 patients were identified, of which 7.5% were unhoused. Compared to HUI patients, unhoused patients were more likely to sustain minor injuries (65.2% versus 59.1%, P = 0.003) and more likely to be injured by assault (17.9% versus 12.4%, P < 0.001), stab wound (17.7% versus 10.8%, P < 0.001), and automobile versus pedestrian or bike (21.0% versus 15.8% P < 0.001). We found that unhoused patients had higher odds of mortality (adjusted odds ratio [AOR]: 1.93, 95% confidence interval [CI]: 1.10-3.36, P = 0.021), brain death (AOR: 5.40, 95% CI: 2.11-13.83, P < 0.001), bacteremia/sepsis (AOR: 4.36, 95% CI: 1.20-15.81, P = 0.025), and increased hospital length of stay (regression coefficient: 0.08, 95% CI: 0.03-0.12, P = 0.003). CONCLUSIONS: This study observed significant disparities in injury characteristics and hospital outcomes between the unhoused and HUI groups. Our results suggest that these disparities are impacted by social determinants of health unique to the unhoused population.

Implementation and Reach of Health Coaching Using Motivational Interviewing to Reduce Cardiovascular Disease Risk in Uninsured Illinois Women.

CONTEXT: Cardiovascular disease (CVD) is the leading cause of mortality for US women; lack of health insurance contributes to poor control of risk factors and increased mortality. Health coaching including motivational interviewing can support primary and secondary CVD prevention, but among uninsured women, improving health outcomes is dependent on successfully reaching priority populations. OBJECTIVE: We evaluated the implementation and reach of health coaching with motivational interviewing among clients in the Illinois WISEWOMAN Program (IWP), a CVD screening and risk-reduction program for uninsured women aged 40 to 64. INTERVENTION: Following CVD screening, motivational interviewing is offered to all IWP clients via four 30-min one-on-one health coaching sessions to offer personalized guidance on setting and achieving health behavior goals. SETTING: Our analysis included clients from the eight community-based Illinois agencies that implemented IWP from 2019 to 2023. DESIGN AND MEASURES: We assessed client demographic and baseline health characteristics among all IWP clients, those who participated in health coaching by attending at least one session, and those who completed health coaching by attending at least three of four sessions. We also assessed health coaching participation and completion by agency and examined agency-specific associations between client characteristics and health coaching participation and completion. RESULTS: Among IWP enrollees (n = 3094), 89.7% participated in at least one health coaching session but only 31.4% completed health coaching by attending at least three sessions. Over 90% of IWP clients participated in at least one health coaching session at 4 IWP agencies. Further, over 85% of health coaching participants completed health coaching at four agencies. Across agencies, no client-level characteristics were consistently associated with health coaching participation or completion. CONCLUSIONS: High motivational interviewing participation rates support its acceptability among uninsured women, but agency-level community-level barriers likely prevent client engagement in multiple sessions. Reducing CVD risk requires working with partner agencies to address barriers to reaching the priority population.

The COVID-19 Uninsured Program: Nearly 39 Million Vaccine Doses Were Funded, 2020-22.

The COVID-19 Uninsured Program, administered by the Health Resources and Services Administration (HRSA), reimbursed providers for administering COVID-19 vaccines to uninsured US adults from December 11, 2020, through April 5, 2022. Using HRSA claims data covering forty-two states, we estimated that the program funded about 38.9 million COVID-19 vaccine doses, accounting for 5.7 percent of total doses distributed and 10.9 percent of doses administered to adults ages 19-64.

Barriers and Opportunities to Improve Healthcare Access for Uninsured Patients at a Student-Run Free Clinic in New Haven, Connecticut.

INTRODUCTION: Uninsured patients have limited options to pay for necessary medical services. Most United States hospitals offer financial assistance programs (FAPs) to help patients pay for care, but the challenges of accessing these programs demonstrate a need for more solutions. METHODS: This study was a retrospective review of 200 randomly sampled HAVEN Free Clinic patients from September 2022 to September 2023. Patients were eligible to be seen at HAVEN if 18-65 years old, without health insurance, and living in New Haven County, Connecticut. Application histories to Medicaid and hospital FAP at a non-profit tertiary care center in Connecticut were assessed. RESULTS: In the 200-patient sample, average age was 43.4 ± 11.2 years old, 61.0% were female, and 86.5% were Hispanic or Latino. 68% were employed with a median household yearly income of $18,200 [$7,293-$26,741]. 80% had applied for a hospital FAP-71.1% were currently approved for Free Care or Discounted Care. 6% were approved for Medicaid; 2.5% were approved for Emergency Medicaid. Of those who applied for a hospital FAP, 28.3% received ≥ 1 application denial. Most common hospital FAP denial reasons were missing, wrong, or outdated proof of income (93.9%), and incomplete application (6.1%). CONCLUSION: Hospital FAPs and Medicaid provide important access to care for uninsured patients, but are not without barriers and should not be viewed as the only solution. Improving hospital FAP access involves assessing eligibility at presentation, extending approval duration, and advocating for more funding. Addressing these barriers can advance equitable care for all.

Association between Insurance Status and Outcomes of Hospitalizations for Necrotizing Soft Tissue Infections.

Background: Lack of insurance is associated with poorer outcomes in hospitalized patients. However, few studies have explored this association in hospitalizations for necrotizing soft tissue infections (NSTIs). This study examined the impact of insurance status on the outcome of NSTI admissions. Methods: All adult hospitalizations for necrotizing fasciitis, gas gangrene, and Fournier gangrene between 2016 and 2018 were examined using the Nationwide Inpatient Sample database. Insurance status was categorized as insured (including Medicare, Medicaid, and Private, including Health maintenance organization (HMO) or uninsured (Self-pay). Outcome measures included mortality rates, limb loss, length of hospital stay, prolonged hospital stay, and critical care admissions. Statistical analysis included weighted sample analysis, chi-square tests, multivariate regression analysis, and negative binomial regression modeling. Results: Approximately 29,705 adult hospitalizations for NSTIs were analyzed. Of these, 57.4% (17,065) were due to necrotizing fasciitis, 22% (6,545) to gas gangrene, and 20.5% (6,095) to Fournier gangrene. Approximately 9.7% (2,875) were uninsured, whereas 70% (26,780) had insurance coverage. Among the insured, Medicare covered 39.6% (10,605), Medicaid 29% (7,775), and private insurance 31.4% (8,400). After adjustments, Medicare insurance was associated with greater odds of mortality (adjusted odds ratio [aOR]: 1.81; 95% confidence interval [CI]: 1.33-2.47; p = 0.001). Medicaid insurance was associated with increased odds of amputation (aOR: 1.81; 95% CI: 1.33-2.47; p < 0.001), whereas private insurance was associated with lower odds of amputation (aOR: 0.70; 95% CI: 0.51-0.97; p = 0.030). Medicaid insurance was associated with greater odds of prolonged hospital stay (aOR: 1.34; 95% CI: 1.09-1.64; p < 0.001). No significant association was observed between the lack of insurance or self-pay and the odds of primary or secondary outcomes. Conclusion: Medicare insurance was correlated with greater odds of mortality, whereas Medicaid insurance was associated with increased odds of amputation and longer hospital stay. Uninsured status was not associated with significant differences in NSTI 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.

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.

Insurance Type and Withdrawal of Life-Sustaining Therapy in Critically Injured Trauma Patients.

Importance: Withdrawal of life-sustaining therapy (WLST) decisions for critically injured trauma patients are complicated and multifactorial, with potential for patients' insurance status to affect decision-making. Objectives: To determine if patient insurance type (private insurance, Medicaid, and uninsured) is associated with time to WLST in critically injured adults cared for at US trauma centers. Design, Setting, and Participants: This retrospective registry-based cohort study included reported data from level I and level II trauma centers in the US that participated in the American College of Surgeons Trauma Quality Improvement Program (TQIP) registry. Participants included adult trauma patients who were injured between January 1, 2017, and December 31, 2020, and required an intensive care unit stay. Patients were excluded if they died on arrival or in the emergency department or had a preexisting do not resuscitate directive. Analyses were performed on December 12, 2023. Exposures: Insurance type (private insurance, Medicaid, uninsured). Main Outcomes and Measures: An adjusted time-to-event analysis for association between insurance status and time to WLST was performed, with analyses accounting for clustering by hospital. Results: This study included 307 731 patients, of whom 160 809 (52.3%) had private insurance, 88 233 (28.6%) had Medicaid, and 58 689 (19.1%) were uninsured. The mean (SD) age was 40.2 (14.1) years, 232 994 (75.7%) were male, 59 551 (19.4%) were African American or Black patients, and 201 012 (65.3%) were White patients. In total, 12 962 patients (4.2%) underwent WLST during their admission. Patients who are uninsured were significantly more likely to undergo earlier WLST compared with those with private insurance (HR, 1.54; 95% CI, 1.46-1.62) and Medicaid (HR, 1.47; 95% CI, 1.39-1.55). This finding was robust to sensitivity analysis excluding patients who died within 48 hours of presentation and after accounting for nonwithdrawal death as a competing risk. Conclusions and Relevance: In this cohort study of US adult trauma patients who were critically injured, patients who were uninsured underwent earlier WLST compared with those with private or Medicaid insurance. Based on our findings, patient's ability to pay was may be associated with a shift in decision-making for WLST, suggesting the influence of socioeconomics on patient outcomes.

Disparities in satisfaction among insured and uninsured adult outpatient department service users in Southern Ethiopia, 2022: a comparative cross-sectional study.

BACKGROUND: Patient satisfaction is a critical measure of the quality of healthcare services provided by healthcare facilities. However, very few studies, particularly in Ethiopia, which includes the study area, have specifically examined these discrepancies among people who use outpatient care. In this study, satisfaction levels and associated factors were compared between insured and uninsured patients receiving outpatient services at public health institutions in Hadiya Zone, southern Ethiopia. METHODS: A facility-based comparative cross-sectional study design was employed on 630 patients using multistage and systematic random sampling. Data were collected using a pretested and structured interviewer-administered questionnaire. Results of the analysis were presented in text, tables, and graphs as appropriate. Multivariable logistic regression was used to predict associations between predictors and the outcome variable. Statistical significance was declared at p-value < 0.05. RESULTS: Overall, 344(55.48%) patients were satisfied with the service they received, of which 206(65.8%) out of 313 with a 95% CI [60.7-71.2%] were insured and 138(44.95%) out of 307 with a 95% CI [39.4-5.1%] were uninsured. Among insured patients, factors associated with higher satisfaction included having a family size less than five members [AOR = 3.3, 95% CI; 1.5, 7.4], perceived fair waiting time to be seen[AOR = 2.35, 95% CI; 1.02, 5.5], perceived short waiting time to be seen[AOR = 8.12, 95% CI; 1.6, 41.3], having all ordered laboratory tests available within the facility[AOR = 7.89, 95% CI; 3.5, 17.5], having some ordered laboratory tests within the facility[AOR = 2.97, 95% CI; 1.25, 7.01] having all prescribed medications available within the facility[AOR = 16.11, 95% CI; 6.25, 41.5], having some prescribed medications available within the facility[AOR = 13.11, 95% CI; 4.7, 36.4]. Among non-insured patients, factors associated with higher satisfaction included urban residency, a fair and short perceived time to be seen, having ordered laboratory tests within the facility, and having prescribed drugs within the facility. CONCLUSION: This study identified lower overall satisfaction, particularly among uninsured patients. Enrollment in the CBHI program significantly impacted satisfaction, with both groups reporting lower levels compared to enrollment periods. Access to essential services, wait times, and socio-demographic factors identified as associated factors with patient satisfaction regardless of insurance status.

Effect of Medicaid expansion on cancer treatment and survival among Medicaid beneficiaries and the uninsured.

BACKGROUND: The Affordable Care Act expanded Medicaid coverage for people with low income in the United States. Expanded insurance coverage could promote more timely access to cancer treatment, which could improve overall survival (OS), yet the long-term effects of Medicaid expansion (ME) remain unknown. We evaluated whether ME was associated with improved timely treatment initiation (TTI) and 3-year OS among patients with breast, cervical, colon, and lung cancers who were affected by the policy. METHODS: Medicaid-insured or uninsured patients aged 40-64 with stage I-III breast, cervical, colon, or non-small cell lung cancer within the National Cancer Database (NCDB). A difference-in-differences (DID) approach was used to compare changes in TTI (within 60 days) and 3-year OS between patients in ME states versus nonexpansion (NE) states before (2010-2013) and after (2015-2018) ME. Adjusted DID estimates for TTI and 3-year OS were calculated using multivariable linear regression and Cox proportional hazards regression models, respectively. RESULTS: ME was associated with a relative increase in TTI within 60 days for breast (DID = 4.6; p < 0.001), cervical (DID = 5.0 p = 0.013), and colon (DID = 4.0, p = 0.008), but not lung cancer (p = 0.505). In Cox regression analysis, ME was associated with improved 3-year OS for breast (DID hazard ratio [HR] = 0.82, p = 0.009), cervical (DID-HR = 0.81, p = 0.048), and lung (DID-HR = 0.87, p = 0.003). Changes in 3-year OS for colon cancer were not statistically different between ME and NE states (DID-HR, 0.77; p = 0.075). CONCLUSIONS: Findings suggest that expanded insurance coverage can improve treatment and survival outcomes among low income and uninsured patients with cancer. As the debate surrounding ME continues nationwide, our findings serve as valuable insights to inform the development of policies aimed at fostering accessible and affordable healthcare for all.

Health Insurance Coverage Projections For The US Population And Sources Of Coverage, By Age, 2024-34.

In the Congressional Budget Office's projections of health insurance coverage, 92.3 percent of the US population, or 316 million people, have coverage in 2024, and 7.7 percent, or 26 million, are uninsured. The uninsured share of the population will rise over the course of the next decade, before settling at 8.9 percent in 2034, largely as a result of the end of COVID-19 pandemic-related Medicaid policies, the expiration of enhanced subsidies available through the Affordable Care Act health insurance Marketplaces, and a surge in immigration that began in 2022. The largest increase in the uninsured population will be among adults ages 19-44. Employment-based coverage will be the predominant source of health insurance, and as the population ages, Medicare enrollment will grow significantly. After greater-than-expected enrollment in 2023, Marketplace enrollment is projected to reach an all-time high of twenty-three million people in 2025.

Effects of Affordable Care Act on uninsured hospitalization: Evidence from Texas.

OBJECTIVE: To examine the impact of the Affordable Care Act (ACA) health insurance exchanges (Marketplace) on the rate of uninsured discharges in Texas. DATA SOURCE AND STUDY SETTING: Secondary discharge data from 2011 to 2019 from Texas. STUDY DESIGN: We conducted a retrospective study estimating the effects of the ACA Marketplace using difference-in-difference regressions, with the main outcome being the uninsured discharge rate. We stratified our sample by patient's race, age, gender, urbanicity, major diagnostic categories (MDC), and emergent type of admissions. DATA COLLECTION/EXTRACTION METHODS: We used Texas hospital discharge records for non-elderly adults collected by the state of Texas and included acute care hospitals who reported data from 2011 to 2019. PRINCIPAL FINDINGS: The expansion of insurance through ACA Marketplaces led to reductions in the uninsured discharge rate by 9.9% (95% CI, -17.5%, -2.3%) relative to the baseline mean. The effects of the ACA were felt strongest in counties with any share of Hispanic, in counties with a larger population of Black, and other racial groups, in counties with a significant share of female and older age individuals, in counties considered to be urban, in high-volume diagnoses, and emergent type of admissions. CONCLUSIONS: These findings indicate that the ACA facilitated a shift in hospital payor mix from uninsured to insured.

A Quality Improvement Study on Colonoscopy Wait Times in Underinsured Patients Following the COVID-19 Pandemic.

INTRODUCTION: The coronavirus disease 2019 (COVID-19) pandemic limited access to colonoscopy. To advance colorectal cancer health equity, we conducted a quality improvement study on colonoscopy wait times in 2019-2023 for underinsured (Medicaid, uninsured) compared with insured patients at an academic medical center providing colonoscopy for surrounding Federally Qualified Health Centers. METHODS: Retrospective chart reviews were performed on adult outpatient colonoscopies in the preintervention period (2019-2021). In 2022, an institutional grant funded bilingual patient navigation to reduce colonoscopy wait times. Postintervention data were collected prospectively from May 2022 to May 2023 in 2 phases. Multivariable regression analyses were conducted for colonoscopy wait times as a primary outcome. RESULTS: Analysis of 3,403 screening/surveillance and 1,896 diagnostic colonoscopies revealed significantly longer colonoscopy wait times for underinsured compared with insured patients after 2019. For screening/surveillance colonoscopies, wait time differences between underinsured and insured patients in the second postintervention phase were reduced by 34.21 days (95% confidence interval [CI]: 11.07-57.35) compared with the postpandemic period and by 56.36 days (95% CI: 34.16-78.55) compared with the first postintervention phase. For diagnostic colonoscopies, wait time differences in the second postintervention phase were reduced by 27.57 days (95% CI: 9.96-45.19) compared with the postpandemic period and by 20.40 days (95% CI: 1.02-39.77) compared with the first postintervention phase. DISCUSSION: Colonoscopy wait times were significantly longer for underinsured compared with insured patients following the COVID-19 pandemic. This disparity was partially ameliorated by patient navigation. Monitoring outpatient colonoscopy wait times in underinsured patients is important for advancing health equity.