Data

This AARP Public Policy Institute Issue Brief discusses the financial impact of caregiving on the caregivers themselves as well as the economic value of their contributions to society. It compares the economic value of family caregiving to other benchmarks in order to underscore the magnitude of these unpaid contributions, presents estimates of productivity losses to U.S. businesses, and highlights the critical role that family caregivers play in the nation's long-term care system.

This chart, developed by the North Carolina MIG, projects the estimated costs and enrollment in health coverage for individuals with disabilities in the workforce. The numbers are based on a cost of $1,210 per individual, per month and covers the five years of the program (2007-2012).

The Oregon Department of Human Services, Division of Seniors and People with Disabilities (SPD) contracted with HSRI to assist in improving the processes for assuring quality in SPD in-home waiver services. Drawing from HSRI's experience in quality assurance, SPD identified a number of states which have been particularly successful in conducting consumer surveys. At the same time, the project team explored in greater detail what was currently happening in Oregon around consumer surveys.

Need an overview of the basic components of the nation’s largest health coverage program? Medicaid covers 55 million low-income individuals and is the dominant source of long-term care financing. Examine the structure of the program, who it covers, what services it provides, and spending. Because Medicaid is jointly financed by the federal and state governments programs vary across states. Tables examining the state-to-state variation in eligibility, enrollment, and spending are included.

The purpose of this analysis is to assess the relative need for affordable housing with supportive services in Arkansas and to compare this need with the available resources for low-income senior and disabled populations. To conduct this analysis, data was gathered from both direct sources and statistical surveys. The data was analyzed to identify the gaps between needs and resources, as well as other patterns.

This study projects to 2040 the number of people ages 65 and older with disabilities and their use of long-term care services. Declining family sizes, increasing childlessness, and rising divorce rates will limit the number of family caregivers. Rising female employment rates may further reduce the availability of family care, increasing the need for paid home care. The simulations show that under the most optimistic scenario, LTC burdens on families and institutions will increase substantially.

This updated report provides the latest data on the 37 key indicators selected by the Forum for its 2004 report to portray aspects of the lives of older Americans and their families. It is divided into five subject areas: population, economics, health status, health risks and behaviors, and health care.

Interviews were conducted to identify current perceptions, patterns, themes, and suggestions for improving the choice and self-direction, quality and access to long term care supports. This research also identified ways to develop a mechanism to balance state resources for services, and to identify elements for the design and structure of a single point of entry mechanism. Groups included: consumers of HCBS, elderly and younger nursing home residents, family members of consumers, and providers.

Presentations included information about the Quality Assurance/Quality Improvement (QA/QI) grant as well as the activities of the grant. Presentations were made on the results of the Measuring Quality Using Experience Surveys report. A presentation to the department’s management team on the Data Mart(s) is also included.

While aggregate household net wealth grew from $25.9 trillion in 1995 to $50.1 trillion in 2004 (both in 2004 dollars), nearly 90 percent of the net gains occurred only among the top quartile of households in the wealth distribution. This paper discusses both household wealth and inequality growth, examines demographic factors behind the growth, and analyzes housing’s role in it, using the Survey of Consumer Finances data collected by the Federal Reserve Bank.