Description: This article discusses the details of being classified as cognitively impaired, particularly the relationship between being classified as cognitively impaired and subsequent mortality experience and the effect of cognitive impairment on mortality rates.

Description: Recaps the highlights of last 12 months of activity and accomplishments by the LTC Section Council.

Description: Overview on current trends in medical practice impacting the LTC insurance business with a focus on dementia, risk stratification, and predictive modeling.

Description: In 2015, LIMRA partnered with the SOA on a study that focused on examining individual LTC policy termination experience including both voluntary lapse and mortality results. This work was based on data submitted by 22 LTC carriers representing approximately 75 percent of the LTC lives inforce over the study period 2000-2011. This article discusses an area of emphasis for the policy terminations work which was to better understand the impact of data quality on reported results given the continued difficulty for insurers in accurately distinguishing voluntary lapse activity from deaths.

Description: Discussion of a newly released LTC experience study, including description of data and its increased scope compared to the prior report, reporting specifications, and findings.

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

Description: Brief summary of Study Analyzing Demographic Experience of Continuing Care Retirement Community Residents. From Long-Term Care Newsletter, August 2002, Issue No. 6.

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: 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.