Description: The panelists at this session of the SOA 1998 New York Annual Meeting review the Long-Term-Care Intercompany Experience Study plus a non-insured study and model, and how to utilize the supplementary data included.

Description: Panelists at this session of the SOA 2000 Las Vegas Spring Meeting discuss proposed changes to the NAIC model for Long Term Care Insurance designed to promote initial rate adequacy and decrease the role of rate increases in maintaining profitability.

Description: Report presenting results of tabulations from the 1985 National Nursing Home Survey estimating nursing home utilization data.

Description: This paper explores deficiencies in our present health care system, and examines how they hinder the provision of optimal chronic illness care. From Financing Chronic Care Monograph, M-HB05-1.

Description: Because of increasing longevity in the world's population, a larger proportion of people will live long enough to develop chronic diseases. Because of their large numbers and extent of their individual expenses, the public sector will need to intervene to help these patients and their families. From Financing Chronic Care Monograph, M-HB05-1.

Description: This paper explores how an intragenerational funding approach might spread the risks from those older persons who live longer to those who do not live so long and from those who are healthier or less dependent to those who are less healthy or more dependent.

Description: Essay submission on impact of COVID-19 on Senior Housing and Support.

Description: Presentation of Long-Term Care Insurance Mortality and Lapse Study presentation to NAIC Health Actuarial (B) Task Force (HATF) on November29,2021.

Description: This excerpt is from a presentation done by a panelist at the Intercompany Long-Term Care Insurance Conference Association closing session in Chicago in March. We can never fully express our thanks to the Alzheimer’s Association and Tom Doyle for the courage to share his moving story and optimism for the future.

Description: This paper presents an approach to analyzing continuing care retirement community [CCRC] data, and demonstrates the methods using data from a large CCRC. It is assumed that residents make transitions among a number of states that represent the levels of care required by residents. There is randomness associated with both the transition times and the states entered at these times. The model is conveniently characterized in terms of transition intensity functions, which represent the instantaneous rates of transition between pairs of states.