Association of Health Insurance Coverage Disruptions With Mortality Risk Among US Working-Age Adults.
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ABSTRACT:
SUBMITTER: Yabroff KR
PROVIDER: S-EPMC9685485 | biostudies-literature | 2022 Nov
REPOSITORIES: biostudies-literature
Publications
Association of Health Insurance Coverage Disruptions With Mortality Risk Among US Working-Age Adults.
Yabroff K Robin KR Han Xuesong X Zhao Jingxuan J Kirby James J Nogueira Leticia L Zheng Zhiyuan Z
JAMA health forum 20221104 11
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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.
| S-EPMC2739025 | biostudies-literature
Project description:BackgroundLack of health insurance coverage is associated with poor access and receipt of cancer care and survival in the United States. Disruptions in coverage are common among low-income populations, but little is known about associations of disruptions with cancer care, including prevention, screening, and treatment, as well as outcomes of stage at diagnosis and survival.MethodsWe conducted a systematic review of studies of health insurance coverage disruptions and cancer care and outcomes published between 1980 and 2019. We used the PubMed, EMBASE, Scopus, and CINAHL databases and identified 29 observational studies. Study characteristics and key findings were abstracted and synthesized qualitatively.ResultsStudies evaluated associations between coverage disruptions and prevention or screening (31.0%), treatment (13.8%), end-of-life care (10.3%), stage at diagnosis (44.8%), and survival (20.7%). Coverage disruptions ranged from 4.3% to 32.8% of patients age-eligible for breast, cervical, or colorectal cancer screening. Between 22.1% and 59.5% of patients with Medicaid gained coverage only at or after cancer diagnosis. Coverage disruptions were consistently statistically significantly associated with lower receipt of prevention, screening, and treatment. Among patients with cancer, those with Medicaid disruptions were statistically significantly more likely to have advanced stage (odds ratios = 1.2-3.8) and worse survival (hazard ratios = 1.28-2.43) than patients without disruptions.ConclusionsHealth insurance coverage disruptions are common and adversely associated with receipt of cancer care and survival. Improved data infrastructure and quasi-experimental study designs will be important for evaluating the associations of federal and state policies on coverage disruptions and care and outcomes.
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Project description:ImportanceAccess to vision care is vital to diagnose and treat vision impairment and diseases. Previous studies found that currently uninsured adults have limited access to vision care. It is unclear whether a recent history (past 12 months) of gaps in insurance coverage likewise adversely affects access to vision care.ObjectiveTo determine whether gaps in insurance coverage within the past 12 months are associated with higher risk of unmet needs for vision care among adults in Ohio.Design, setting, and participantsThis cross-sectional study analyzed data for adults in Ohio from the 2021 Ohio Medicaid Assessment Survey (OMAS), which is conducted via web, telephone, and mail. Participants were residents 19 years or older who reported needing vision care or eyeglasses within the past 12 months.ExposuresInsurance coverage over the past 12 months, classified as continuous private, continuous public, gap in coverage, or year-round uninsured.Main outcomes and measureSelf-reported unmet need for vision care over the past 12 months.ResultsBased on a sample of 19 036 participants, we calculated that 4% of adults experienced recent coverage gaps (weighted total in the population, 180 259 of 4 518 841) while another 4% were year-round uninsured (187 552 adults). Unmet needs for vision care were reported by 13% (590 015 adults). On multivariable logistic regression, adults with gaps in coverage were at a higher risk of unmet vision care needs compared with adults who had continuous private coverage (odds ratio [OR], 2.9; 95% CI, 2.1-3.9; P < .001) or continuous public coverage (OR, 1.7; 95% CI, 1.3-2.4; P = .001).Conclusions and relevanceThis study found that gaps in health insurance coverage were associated with increased risk of unmet vision care needs among adults in Ohio compared with continuous private or public coverage. Policies that protect the continuity of health insurance coverage may help reduce the rate of unmet needs for vision care.
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Project description:OBJECTIVE:Evaluate how the use of a Section 1115 waiver in Arkansas was associated with health insurance coverage compared to Medicaid expansion states that did not use a waiver. METHODS:Difference in difference analysis was conducted of 1,320,790 adults aged 19-64 with family incomes at or below 138% of the federal poverty level from the 2010-2017 American Community Survey. Arkansas was compared to states that expanded without a waiver in calendar year 2014. States that expanded Medicaid with an approved Section 1115 waiver during the study period or expanded without a waiver after 2014 or did not expand Medicaid were excluded from the analysis. The outcome measures were no health insurance coverage, Medicaid coverage, employer sponsored private insurance, and non-group direct purchase private insurance. RESULTS:Arkansas's use of a waiver to expand Medicaid was associated with a lower uninsured rate (-3.7%, p< 0.001), a higher Medicaid coverage rate (2.0%, p< 0.001), and a higher non-group, direct purchase private insurance coverage rate (2.9%, p< 0.001) compared to states that expanded Medicaid in 2014 without a waiver. CONCLUSION:Compared to states that implemented traditional Medicaid expansion, we found that Arkansas's waiver was associated with increases in health insurance coverage rates.
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Project description:Although the economic burden of multimorbidity is a growing global challenge, the contribution of multimorbidity in patients with high medical expenses remains unclear. We aimed to clarify multimorbidity patterns that have a large impact on medical costs in the Japanese population. We conducted a cross-sectional study using health insurance claims data provided by the Japan Health Insurance Association. Latent class analysis (LCA) was used to identify multimorbidity patterns in 1,698,902 patients who had the top 10% of total medical costs in 2015. The present parameters of the LCA model included 68 disease labels that were frequent among this population. Moreover, subgroup analysis was performed using a generalized linear model (GLM) to assess the factors influencing annual medical cost and 5-year mortality. As a result of obtaining 30 latent classes, the kidney disease class required the most expensive cost per capita, while the highest portion (28.6%) of the total medical cost was spent on metabolic syndrome (MetS) classes, which were characterized by hypertension, dyslipidemia, and type 2 diabetes. GLM applied to patients with MetS classes showed that cardiovascular diseases or complex conditions, including malignancies, were powerful determinants of medical cost and mortality. MetS was classified into 7 classes based on real-world data and accounts for a large portion of the total medical costs. MetS classes with cardiovascular diseases or complex conditions, including malignancies, have a significant impact on medical costs and mortality.
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| S-EPMC9652745 | biostudies-literature
Project description:The rise in working-age mortality rates in the United States in recent decades largely reflects stalled declines in cardiovascular disease (CVD) mortality alongside rising mortality from alcohol-induced causes, suicide, and drug poisoning; and it has been especially severe in some U.S. states. Building on recent work, this study examined whether U.S. state policy contexts may be a central explanation. We modeled the associations between working-age mortality rates and state policies during 1999 to 2019. We used annual data from the 1999-2019 National Vital Statistics System to calculate state-level age-adjusted mortality rates for deaths from all causes and from CVD, alcohol-induced causes, suicide, and drug poisoning among adults ages 25-64 years. We merged that data with annual state-level data on eight policy domains, such as labor and taxes, where each domain was scored on a 0-1 conservative-to-liberal continuum. Results show that the policy domains were associated with working-age mortality. More conservative marijuana policies and more liberal policies on the environment, gun safety, labor, economic taxes, and tobacco taxes in a state were associated with lower mortality in that state. Especially strong associations were observed between certain domains and specific causes of death: between the gun safety domain and suicide mortality among men, between the labor domain and alcohol-induced mortality, and between both the economic tax and tobacco tax domains and CVD mortality. Simulations indicate that changing all policy domains in all states to a fully liberal orientation might have saved 171,030 lives in 2019, while changing them to a fully conservative orientation might have cost 217,635 lives.
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