Concern Home Care Care com Philadelphia, PA Home Care Agency
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Wealth is considered in addition to income because elderly persons may draw on accumulated assets to pay for healthcare. In addition, many may have also exited the labour market at ages past 65. Chronic diseases are on the rise and older adults face the challenge of coping financially with these expensive long-lasting conditions. Recognizing that some chronic conditions may be relatively more costly for individuals in terms of additional OOP spending needs could contribute to more effective targeting of health interventions.
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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.
Additionally, costs of hospitalization care and/or overnight nursing home use also contributes significantly to the high costs of care for community-dwelling older adults with CVD. For the fourth costliest chronic condition–cancer–the key driver of increased spending is non-inpatient services , which accounts for 48% of the total excess spending. Noncommunicable diseases are among the most prevalent and costly health conditions in the United States. As of 2013, two out of every three older Americans have two or more chronic health conditions . Older adults have higher prevalence of chronic diseases than younger adults. According to nationwide statistics from the American Heart Association , about 85% of Americans aged 65+ have cardiovascular diseases as compared to 50% for those aged 45–64.
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Unadjusted increased spending for the remaining chronic conditions including hypertension, major psychiatric problem and arthritis are presented in S1 Table. Nonetheless, these typically had a single-disease focus or used a simple count of number of conditions [7,19–20]. For example, Paez et al. find that the estimated mean annual OOP spending is $580 for persons with no NCDs, $870 for those with one NCD, and $1,250 for those with two or more NCDs among persons aged 65–79. This enables a direct comparison of adjusted spending across chronic diseases so as to pinpoint which ones trigger the largest OOP spending needs. Such insights are valuable for healthcare decision makers and policymakers who are concerned about the financial burden that long-lasting chronic diseases impose on older adults as the population ages.
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For three of the four costliest conditions , prescription drug spending is singularly the most important driver of additional expenses. These findings are consistent with other recently published studies [38–39], and likely due to the extensive use of prescription drugs in disease management, e.g. oral agents or insulin therapy consumed by diabetes patients. A key conclusion is that service drivers of increased spending may be heterogeneous across disease types. Decomposition analysis can thus help health administrators and policymakers target interventions.
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We find that prescription medication is a major component of the increased OOP spending for Medicare beneficiaries with CVD, diabetes and hypertension in 2014. Pharmaceuticals account for about 90% of the higher spending among beneficiaries with diabetes and hypertension. 67% of the excess OOP expenditure attributable to CVD stems from prescription drugs spending.
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A final limitation is that our analyses are cross-sectional and do not take into account dynamic changes in OOP expenditure over time. To put these dollar estimates in context, we also evaluate the spending difference in percentage terms. That is, we divide increased spending by the predicted average spending for persons without that disease . Our results suggest that Medicare beneficiaries with CVD spend 30.5% more than those without CVD.
The information collated from these bracket questions are then used to derive imputed exact expenditure values using a method developed by the RAND Corporation, as described elsewhere . In our sample, imputed responses for bracketed questions are derived for between 0.4% and 10% of respondents for the individual service categories. Our total OOP spending measure reflects self-reported payments for coinsurance, copayments, deductibles, and medically related items and services not covered by insurance.

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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