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It invokes 18 USC Sec. 1014 and its violation leads to a jail 14 of up to 30 years. It invokes 18 USC Sec. 1344 and involves making false statements to a financial institution such as a bank. Concern Home Care provides services that are in compliance with acceptable standards for home cars industry as well as for state and federal laws.
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Those with diabetes spend 20.8% more than their non-diabetes counterparts. Additional spending is 14.1% and 12.4% for hypertension and cancer, respectively. These estimates are higher than those for chronic lung disease (11.8%) and arthritis (11.7%).
In this paper, we assess the impact of chronic diseases on older adults’ OOP medical spending and evaluate whether certain conditions are costlier in terms of additional spending needs. Health service-specific components that drive the increased spending for costly conditions are also identified. We use a nationally representative sample of non-institutionalized, Medicare beneficiaries aged 65+ from the Health and Retirement Study . A multivariate two-part regression model is implemented to estimate the marginal effects of various NCDs, including cancer, diabetes, and CVD, on total spending. This decomposition analysis may be useful for health administrators and policymakers to target interventions. Our analyses were also informative on the health service-specific components that drive increased spending.
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A total of seven distinct chronic conditions, including the so-called ‘big four’ NCDs, are thus used in our model. The HRS is a nationally representative longitudinal survey of U.S. adults over the age of 50, which is conducted by the University of Michigan with funding from the National Institute on Aging. Approximately 20,000 participants are interviewed biennially since 1992, with response rates of more than 85% across waves . Data are de-identified and made publicly available at no charge to users.

As in Davidoff et al. , health insurance premiums are not included because these do not directly relate to medical care use. To accommodate potential nonlinear age effects, we use categorical age bands (65–74 (ref.), 75–84, 85+). Separate binary markers are constructed to indicate female, non-white, married, high school graduate, had two or more living children, and lived with others in household. Separate indicator variables are also constructed for whether covered by Medicaid, private health insurance, and private long-term care insurance. Functional status measures include count of instrumental activities of daily living limitations (0 (ref.), 1–3, and 4–5), and count of activities of daily living disabilities (0 (ref.), 1–2, and 3+). Self-rated health is a categorical variable (excellent (ref.), very good, good, and fair/poor), while cognitive score is a continuous variable (range from 0–7).
Which bank financed CONCERN HOME CARE, INC.'s PPP Loan?
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We exclude nursing home residents given their distinct patterns of resource use compared with community-dwelling persons . The HRS is based on a stratified multistage area probability sample of U.S. households. The complex sample design, which includes oversamples of Hispanics, Blacks, and households in the state of Florida, requires the use of sampling weights. Individual-level weighting variables are applied to derive nationally representative spending estimates; the weighted population comprises 35,939,270 persons.
The prevalence of cancers among persons aged 70–79 is nearly double that of those aged 50–59 . Increasing life expectancy over the last decades also implies that there are more people living to old age, possibly with costly chronic health conditions that require ongoing care and management. Medicare is the biggest health insurance program covering the elderly in the U.S. and provides financial support for persons who have two or more serious chronic conditions that are expected to last at least a year. Among Medicare fee-for-service beneficiaries, those with NCDs account for 93% of total Medicare spending .

Interventions to promote more cost efficient healthcare services and consumer choices can help older adults better cope with these expensive long-lasting conditions and reduce the overall burden of noncommunicable diseases. We use data from the 2014 Health and Retirement Study representing a weighted population of 35,939,270 Medicare beneficiaries aged 65+. Generalized linear models are applied to estimate the effect of different chronic diseases on total out-of-pocket expenditure, adjusted for demographics, socio-economic status, physical health, and other factors. We also decompose total spending by expenditure categories (inpatient, non-inpatient, and prescription drug spending). Sensitivity analysis is performed using a younger sample of older adults aged 50–64. Many past studies have highlighted that older adults living with chronic diseases face substantial out-of-pocket health expenditures despite Medicare’s near-universal coverage for those aged 65+ [5–10].
Level of annual OOP spending and unadjusted increased spending, by chronic condition and expenditure category (non-big four conditions). Care.com does not employ, recommend or endorse any care provider or care seeker nor is it responsible for the conduct of any care provider or care seeker. Care.com provides information and tools to help care seekers and care providers connect and make informed decisions.
That's why we are offering an estimate which is based on an average of known rates charged by similar businesses in the area. CONCERN HOME CARE, INC. took out a PPP loan worth $ for Payroll Processing for it's 126 employees. As tax-payers, we need to hold businesses accountable and ask serious questions. Our rating on CONCERN HOME CARE, INC. is based on multiple factors, including publicly available information, reviews and user notifications. The low-cost funds offered under the PPP have proven to be attractive not only to struggling businesses, but also to larger companies and scam artists.
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For instance, lowering pharmaceutical costs for diabetes through volume purchasing or provider incentives. Value-based insurance design plans, which align individuals’ OOP costs with the value of the health services they receive, can also promote more cost efficient healthcare services and consumer choices . In this study we modeled the effect of various types of chronic diseases on OOP healthcare expenditure among non-institutionalized older adults. Our multivariate two-part analyses revealed that CVD, diabetes, hypertension and cancer, trigger significantly higher spending needs than other diseases such as arthritis. Our results are robust to variations in sample and how spending differences are assessed. The costly nature of CVD is perhaps least surprising because stroke and heart failure are currently among the most expensive chronic conditions in the Medicare fee-for-service program .
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