Change in Health Insurance Coverage After Liver Transplantation Can Be Associated with Worse Outcomes.
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ABSTRACT:
SUBMITTER: Akateh C
PROVIDER: S-EPMC6425937 | biostudies-literature | 2018 Jun
REPOSITORIES: biostudies-literature
Publications
Change in Health Insurance Coverage After Liver Transplantation Can Be Associated with Worse Outcomes.
Akateh Clifford C Tumin Dmitry D Beal Eliza W EW Mumtaz Khalid K Tobias Joseph D JD Hayes Don D Black Sylvester M SM
Digestive diseases and sciences 20180324 6
<h4>Background</h4>Health insurance coverage changes for many patients after liver transplantation, but the implications of this change on long-term outcomes are unclear.<h4>Aims</h4>To assess post-transplant patient and graft survival according to change in insurance coverage within 1 year of transplantation.<h4>Methods</h4>We queried the United Network for Organ Sharing for patients between ages 18-64 years undergoing liver transplantation in 2002-2016. Patients surviving > 1 year were categor ...[more]
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Project description:Background/aimsHypothyroidism has been associated with hepatocellular carcinoma (HCC) incidence; however, the relationship between hypothyroidism and HCC patient outcomes is unclear. We investigated the impact of hypothyroidism on outcomes after liver transplantation for HCC.Materials and methodsWe retrospectively studied HCC patients transplanted between January 2000 and December 2015. Hypothyroidism was defined as a thyroid-stimulating hormone (TSH) level continuously greater than 5 mIU/L, a documented history of hypothyroidism, or treatment with thyroid hormone replacement therapy. Multivariate Cox regression was used to assess the impact of hypothyroidism on overall survival (OS) and recurrence-free survival (RFS) adjusting for potential confounders. Subgroup analyses and interaction tests were conducted to compare the impact of hypothyroidism in different subgroups and assess for possible synergistic effects. Sensitivity analyses were performed among different cohorts to verify the stability of the results.ResultsA total of 343 HCC patients who underwent liver transplantation were included in the analysis. The primary analysis was conducted among 288 patients diagnosed with HCC prior to transplantation. Hypothyroidism was independently associated with worse OS and RFS, as was elevated TSH. The adjusted hazard ratio (AHR) of hypothyroidism was 2.45 (95% confidence interval [CI], 1.44-4.18) for OS and 5.54 (2.36, 13.01) for RFS. The AHR of TSH for OS was 1.05 (1.02, 1.09) and 1.08 (1.03, 1.13) for RFS. No interaction was found among different subgroups categorized by etiology and comorbidity. The results were stable to sensitivity analyses.ConclusionHypothyroidism is associated with poorer overall and recurrence-free survival of HCC patients receiving liver transplantation. These results require validation.
| S-EPMC6308061 | biostudies-literature
Project description:BACKGROUND: Previous research suggests that most people with multiple sclerosis (MS) in the United States have health insurance. However, little is known about their coverage or how it differs between public and private insurance. We examined whether the perceived change in health insurance coverage from the previous year differs between individuals with MS who are privately insured compared with those who are publicly insured. METHODS: We present descriptive statistics and odds ratios (ORs) from a multivariate logistic regression using data from the 2009 wave of the Sonya Slifka Longitudinal Multiple Sclerosis Study. RESULTS: We found that individuals with Medicare were significantly less likely to perceive worse coverage compared with those with private health insurance (OR = 0.53; P < .01). Individuals aged 55 to 64 years were more likely to perceive worse coverage than those aged 18 to 34 years (OR = 2.5; P < .05), while the odds of perceiving worse coverage were significantly lower for individuals who had been diagnosed more than 15 years previously relative to those diagnosed in the past 2 years (OR = 0.48; P < .05). CONCLUSIONS: Individuals with MS and other chronic illnesses who can choose between public and private insurance should be aware that there are important differences in perceptions of health insurance coverage between publicly and privately insured individuals.
| S-EPMC4204373 | biostudies-other
Project description:ObjectiveUnderinsured patients can experience worse preoperative medical optimization. We aimed to determine whether insurance status was associated with carotid endarterectomy (CEA) urgency and postoperative outcomes.MethodsWe analyzed the Society for Vascular Surgery Vascular Quality Initiative Carotid Endarterectomy dataset from January 2012 to January 2021. Univariable and multivariable methods were used to analyze the differences across the insurance types for the primary outcome variable: CEA urgency. The analyses were limited to patients aged <65 years to minimize age confounding across insurers. We also examined differences in preoperative medical optimization and symptomatic disease and postoperative outcomes. A secondary analysis was performed to examine the effect of CEA urgency on the postoperative outcomes.ResultsA total of 27,331 patients had undergone first-time CEA. Of these patients, 4600 (17%) had Medicare, 3440 (13%) had Medicaid, 17,917 (65%) had commercial insurance, and 1374 (5%) were uninsured. The Medicaid and uninsured patients had higher rates of urgent operation compared with Medicare (20.0% and 34.7% vs 14.4%; P < .001), with no differences in the commercial group vs the Medicare group. Additionally, Medicaid and uninsured patients had lower rates of aspirin, statin, and/or antiplatelet use (93.6% and 93.5% vs 95.8%; P < .001) and higher rates of symptomatic disease (42.1% and 57.6% vs 36.2%; P < .001) compared with Medicare patients. The rate of perioperative stroke/death was higher for the Medicaid and uninsured patients than for the Medicare patients (1.63% and 1.89% vs 1.02%; P = .017 and P = .01, respectively), with no differences in the commercial group. Multivariable analysis demonstrated that compared with Medicare, Medicaid and uninsured status were associated with increased odds of an urgent operation (odds ratio [OR], 1.3; 95% confidence interval [CI], 1.1-1.5; and OR, 2.3; 95% CI, 2.0-2.7, respectively), symptomatic disease (OR, 1.2; 95% CI, 1.1-1.4; and OR, 2.2; 95% CI, 1.9-2.5, respectively), and perioperative stroke/death (OR, 1.6; 95% CI, 1.1-2.4; and OR, 1.8; 95% CI, 1.1-3.0, respectively) and a decreased odds of aspirin, statin, and/or antiplatelet use (OR, 0.71; 95% CI, 0.6-0.9; and OR, 0.76; 95% CI, 0.6-0.99, respectively). Additionally, the rates of perioperative stroke/death were higher for patients who had required urgent surgery compared with elective surgery (2.8% vs 1.0%; P < .001). Multivariable analysis demonstrated increased odds of perioperative stroke/death for patients who had required urgent surgery (OR, 2.4; 95% CI, 1.9-3.1).ConclusionsMedicaid and uninsured patients were more likely to require urgent CEA, in part because of poor preoperative medical optimization. Additionally, urgent operation was independently associated with worse postoperative outcomes. These results highlight the need for improved preoperative follow-up for underinsured populations.
| S-EPMC9974840 | biostudies-literature
Project description:BackgroundCompared with the number of studies performed in the United States, few studies have been conducted on the link between health insurance and healthcare consumption in Europe, likely because most European countries have compulsory national health insurance (NHI) or a national health service (NHS). Recently, a major French private insurer, offering voluntary complementary coverage in addition to the compulsory NHI, replaced its single standard package with a range of offers from basic coverage (BC) to extended coverage (EC), providing a quasi-natural experiment to test theoretical assumptions about consumption patterns.MethodsReimbursement claim data from 85,541 insurees were analysed from 2009 to 2018. Insurees who opted for EC were matched to those still covered by BC with similar characteristics. Difference-in-differences (DiD) models were used to compare both the monetary value and physical quantities of healthcare consumption before and after the change in coverage.ResultsAs expected, the DiD models revealed a strongly significant, though transitory (mainly during the first year), increase after the change in coverage for EC insurees, particularly for costly care such as dental prostheses and spectacles. Surprisingly, consumption seemed to precede the change in coverage, suggesting that one possible determinant of opting for more coverage may be previous unplanned expenses.ConclusionBoth catching-up behaviour and moral hazard are likely to play a role in the observed increase in healthcare consumption.
| S-EPMC7291705 | biostudies-literature
Project description:ObjectiveTo improve understanding of the relationship between lack of insurance and risk of subsequent mortality.Data sourcesAdults who reported being uninsured or privately insured in the National Health Interview Survey from 1986 to 2000 were followed prospectively for mortality from initial interview through 2002. Baseline information was obtained on 672,526 respondents, age 18-64 at the time of the interview. Follow-up information on vital status was obtained for 643,001 (96 percent) of these respondents, with approximately 5.4 million person-years of follow-up.Study designRelationships between insurance status and subsequent mortality are examined using Cox proportional hazard survival analysis.Principal findingsAdjusted for demographic, health status, and health behavior characteristics, the risk of subsequent mortality is no different for uninsured respondents than for those covered by employer-sponsored group insurance at baseline (hazard ratio 1.03, 95 percent confidence interval [CI], 0.95-1.12). Omitting health status as a control variable increases the estimated hazard ratio to 1.10 (95 percent CI, 1.03-1.19). Also omitting smoking status and body mass index increases the hazard ratio to 1.20 (95 percent CI, 1.15-1.24). The estimated association between lack of insurance and mortality is not larger among disadvantaged subgroups; when the analysis is restricted to amenable causes of death; when the follow-up period is shortened (to increase the likelihood of comparing the continuously insured and continuously uninsured); and does not change after people turn 65 and gain Medicare coverage.ConclusionsThe Institute of Medicine's estimate that lack of insurance leads to 18,000 excess deaths each year is almost certainly incorrect. It is not possible to draw firm causal inferences from the results of observational analyses, but there is little evidence to suggest that extending insurance coverage to all adults would have a large effect on the number of deaths in the United States.
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Project description:BACKGROUND:The Affordable Care Act has provided health insurance to a large portion of the uninsured in the United States. However, different types of health insurance provide varying amounts of reimbursements to providers, which may lead to different types of treatment, potentially worsening health outcomes in patients covered by low-reimbursement insurance plans, such as Medicaid. The objective was to determine differences in access, treatment, and health outcomes by insurance type, using hospital fixed effects. METHODS AND RESULTS:We conducted a multivariate regression analysis using patient-level data for nonelderly adult patients with acute myocardial infarction in California from January 1, 2001, to December 31, 2014, as well as hospital-level information to control for differences between hospitals. The probability of Medicaid-insured and uninsured patients having access to catheterization laboratory was higher by 4.50 and 3.75 percentage points, respectively, relative to privately insured patients. When controlling for access to percutaneous coronary intervention facilities, however, Medicaid-insured and uninsured patients had a 4.24- and 0.85-percentage point lower probability, respectively, in receiving percutaneous coronary intervention treatment compared with privately insured patients. They also had higher mortality and readmission rates relative to privately insured patients. CONCLUSIONS:Although Medicaid-insured and uninsured patients with acute myocardial infarction had better access to catheterization laboratories, they had significantly lower probabilities of receiving percutaneous coronary intervention treatment and a higher likelihood of death and readmission compared with privately insured patients. This provides empirical evidence that treatment received and health outcomes strongly vary between Medicaid-insured, uninsured, and privately insured patients, with Medicaid-insured patients most disproportionately affected, despite having better access to cardiac technology.
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Project description:BackgroundChina initiated a reform of the health insurance system in the late 1990s. The new insurance, Urban Employee Basic Medical Insurance (UEBMI), is employment-based, which makes it more difficult than it used to be for those unemployed or informal employed (most of whom are women) to be covered by health insurance.MethodsBased on three large sample of micro datasets, we first use statistical methods to identify gender differences in health insurance. Next, we construct a logistic regression model to capture the differences in insurance coverage across age groups using the parameter of interaction terms for gender and age groups.ResultsBased on data from a demographic survey that covers a large sample, we find that in the below 50 (in 2005) or 60 (in 2015) years age group, the coverage gap of UEBMI between men and women was relatively smaller, while a larger disparity existed in the above 50 (in 2005) or 60 (in 2015) group. Moreover, gender differences in health insurance were more significant in the low-education group, while no gender differences were found in the high-education group.ConclusionsThis paper explains the gender gap in health insurance and the reason for the wider gap among older people. Our study indicates that because the UEBMI in China mainly covers people with formal jobs, a lower labor participation rate (even much lower in formal jobs) of women has led to their greater difficulty in obtaining health insurance. Since the older women's greater difficulty in obtaining jobs or susceptibility to lay-offs during the period of the UEBMI's implementation, the possibility of being covered was even much lower. In fact, it was because of the combined effects of the UEBMI system and the labor market condition at that time that older women had a lower proportion of being covered under the UEBMI.
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Project description:IntroductionHealth insurance has been found to increase healthcare utilisation and reduce catastrophic health expenditures in a number of countries; however, coverage is often unequally distributed among populations. The sociodemographic patterns of health insurance in Namibia are not fully understood. We aimed to assess the prevalence of health insurance, the relation between health insurance and health service utilisation and to explore the sociodemographic factors associated with health insurance in Namibia. Such findings may help to inform health policy to improve financial access to healthcare in the country.MethodsUsing data on 14,443 individuals, aged 15 to 64 years, from the 2013 Namibia Demographic and Health Survey, the association between health insurance and health service utilisation was investigated using multivariable mixed effects Poisson regression analyses, adjusted for sociodemographic covariates and regional, enumeration area and household clustering. Multivariable mixed effects Poisson regression analyses were also conducted to explore the association between key sociodemographic factors and health insurance, adjusted for covariates and clustering. Effect modification by sex, education level and wealth quintile was also explored.ResultsJust 17.5% of this population were insured (men: 20.2%; women: 16.2%). In fully-adjusted analyses, education was significantly positively associated with health insurance, independent of other sociodemographic factors (higher education RR: 3.98; 95% CI: 3.11-5.10; p < 0.001). Female sex (RR: 0.83; 95% CI: 0.74-0.94; p = 0.003) and wealth (highest wealth quintile RR: 13.47; 95% CI: 9.06-20.04; p < 0.001) were also independently associated with insurance. There was a complex interaction between sex, education and wealth in the context of health insurance. With increasing education level, women were more likely to be insured (p for interaction < 0.001), and education had a greater impact on the likelihood of health insurance in lower wealth quintiles.ConclusionsIn this population, health insurance was associated with health service utilisation but insurance coverage was low, and was independently associated with sex, education and wealth. Education may play a key role in health insurance coverage, especially for women and the less wealthy. These findings may help to inform the targeting of strategies to improve financial protection from healthcare-associated costs in Namibia.
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