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Objective Despite cross-sectional evidence that persons living with dementia receive disproportionate hours of care, studies of how care intensity progresses over time and differs for those living with and without dementia have been lacking. Method We used the 2011–2018 National Health and Aging Trends Study to estimate growth mixture models to identify incident care hour trajectories ("classes") among older adults (N = 1,780). Results We identified 4 incident care hour classes: "Low, stable," "High, increasing," "24/7 then high, stable," and "Low then resolved." The high-intensity classes had the highest proportions of care recipients with dementia and accounted for nearly half of that group. Older adults with dementia were 3–4 times as likely as other older adults to experience one of the 2 high-intensity trajectories. A substantial proportion of the 4 in 10 older adults with dementia who were predicted to be in the "Low, stable" class lived in residential care settings. Discussion Information on how family caregiving is likely to evolve over time in terms of care hours may help older adults with and without dementia, the family members, friends, and paid individuals who care for them, as well as their health care providers assess and plan for future care needs. [ABSTRACT FROM AUTHOR]

An increase in the number of elderly people may place a substantial burden on the health care system. It is estimated that 20% of the American population will be elderly by the year 2030, up from 13% in 2000. An analysis of data from Medicare, the National Mortality Followback Survey and the National Medical Expenditure Survey show that total expenditures increase considerably from the age of 65 until death. Much of this increase is a result of long-term care in nursing homes. However, this effect will be magnified by the increased number of people who survive to the age of 65 and beyond.

The underwriting of private long-term care insurance is studied based on data from the National Mortality Followback Survey. Results show that if the population applied for private long-term care insurance at age 65, about 12% to 23% of applicants will be rejected due to poor health. The number will increase to 20% to 31% for applicants aged 75. Long-term care insurance underwriting criteria also vary depending on the risks perceived by the insurers.

Recent proposals to increase access to health insurance suggest the need to know what the magnitude of responses would be if the one in five nonelderly persons uninsured for all or part of the year were to become insured. This paper finds that an additional commitment of resources to hospital and ambulatory care on the order of $26 billion (in 1989 dollars), or about 4% of total national health care spending, would be required if those now uninsured were to use these services on a par with the privately insured. The primary inputs to this result are new, estimates of the impact of being uninsured which indicate a substantial potential response to insurance, particularly by adults.

In this paper data from the National Mortality Followback Survey and the National Nursing Home Survey are used to estimate the lifetime cost of nursing home care. The expected discounted cost for persons turning 65 in 1990 is $27,600. However, variation around this average is high. The 9% of persons expected to use at least 5 years of nursing home care will account for 64% of aggregate cost for the cohort; the 68% using less than 3 months of care will account for only about 1% of cost. The percentage of costs covered under alternative financing strategies also varies widely. An entitlement covering the first 3 months of care subject to 30% coinsurance would cover 5% of aggregate cost; an entitlement with a 2-year deductible and the same coinsurance would cover 41% of cost.

Objectives We provide national estimates of caregiving networks for older adults with and without dementia and examine how these networks develop over time. Most prior research has focused on primary caregivers and rarely on change over time. Method We identify a cohort of older adults continuously followed in the National Health and Aging Trends Study between 2011 and 2015 and receiving help from family members or unpaid caregivers in 2015 (n = 1,288). We examine differences by dementia status in network size, types of assistance and task sharing, and composition—differentiating between "specialist" and "generalist" caregivers helping in one versus multiple activity domains. Multinomial regression is used to estimate change over time in network task sharing and composition. Results In 2015, older adults with dementia had larger caregiving networks involving more task sharing than those without dementia and more often relied on generalist caregivers, especially the subset assisting with medical, household, and mobility or self-care activities. Uniformly greater reliance over time on these more intensely engaged generalist caregivers chiefly accounts for larger dementia networks. Discussion Findings lend support to the need for caregiver training on managing multiple task domains and—for dementia caregivers in particular—task-sharing skills. More generally, the design of new approaches to better support older adults and their caregivers should consider the complexity, heterogeneity, and change over time in caregiving networks. [ABSTRACT FROM AUTHOR]

A correction to the article "Change OverTime in Caregiving Networks for Older Adults With and Without Dementia," by Brenda C. Spillman, Vicki A. Freedman, Judith D. Kasper, and Jennifer L. Wolff, which was published in a 2019 issue of the journal is presented.

Private insurance is one strategy for financing the large and growing cost of long-term care. Little is known, however, about the extent to which medical underwriting may limit the potential of private insurance to cover nursing home care, or whether the underwriting criteria used in this relatively new market successfully identify high-cost groups. Data from the National Mortality Followback Survey are used to address these two questions. It is estimated that between 12 and 23 percent of the population would be rejected from private long-term care insurance because of their health if everyone applied at 65. These figures rise to between 20 and 31 percent at age 75. The simulation results suggest that long-term care insurance underwriting criteria identify individuals who vary substantially in the financial risk they pose to insurers. In most cases, whether a criterion identifies a high-cost group is sensitive to the policy individuals are assumed to buy. [ABSTRACT FROM AUTHOR]