Description: Report on the first study conducted jointly by LIMRA International and the SOA Long Term Care Experience Committee. The study examines voluntary lapse and total termination activity in LTCI for calendar years 2000 and 2001. Overall, the results indicate that LTCI persistency has continued to improve however, the current improvement seems to be coming from the individual lines of business rather than the group lines.

Description: Report on the second in a series of studies conducted jointly by LIMRA International and the SOA Long-Term Care Experience Committee. The study examines longterm care insurance LTCI industry persistency experience by reporting on changes in both voluntary lapse and total termination activity for all participating companies during calendar years 2002 through 2004. Overall, the results indicate that LTCI persistency continues to increase. However, recent increases have occurred on the group side of the business more than the individual side.

Description: The article discovers that mortality is higher for females than for males at higher ages, and suggests "stress" as the explanation. It then discusses mental illness research, including recovery therefrom.

Description: The article looks at potential changes in care provider demographics that could ultimately have an impact on the cost of long term care services.

Description: Understanding long-term care insurance Risks At The Younger Ages through a Morbidity Experience Analysis. by Scott A. Weltz from Long-Term Care Newsletter, December 2002, Issue No. 7.

Description: First article in a series that walks through the progression from developing LTC assumptions using traditional methods to doing so using predictive analytics.

Description: To increase awareness of current research, cognitive treatments, brain exercise programs and overall long-term care, we will be adding a regular feature to the LTC Section newsletter, tentatively called the “Cognitive Corner.” This feature will provide a place to share existing academic research and health-related outcomes related to cognitive factors. It is the hope that this information will spur thought-provoking discussions and debates that impact your work regarding these hypotheses.

Description: Third article in a series on how to use predictive analytics to improve the development of long-term care projection assumptions.

Description: Second article in a series on how to use predictive analytics to improve the development of long-term care projection assumptions.

Description: The Society of Actuaries' Long Term Care experience database is mined for evidence of improvement in insured population incidence rates.