Description: Family caregivers are a critical link in providing long-term services and supports (LTSS), but they have significant unmet needs. To better support family caregivers, Congress authorized the Recognize, Assist, Include, Support, & Engage (RAISE) Family Caregivers Act in 2018 and created the RAISE Family Caregiving Advisory Council. The Council identified recommendations to serve as the backbone of a national strategy to improve the physical, emotional and financial well-being of family caregivers. A new report, "Asking Directions: Mapping a Course to Support Family Caregivers," identifies specific actions across a variety of players for meeting the Council’s recommendations. It summarizes insights from a year’s worth of strategy sessions and interviews with representatives of over 100 organizations. The report brings together thoughts on best practices and the most critical action steps from national and state organizations, county health providers, the direct care workforce, large and small employers, aging and disability organizations, faith-based groups, respite care providers and more. This article summarizes the research methods and key findings of the report and the work conducted by the Leading Age LTSS Center @UMass Boston and Community Catalyst’s Center for Consumer Engagement in Health Innovation.

Description: The article provides an overview of the federal tax treatment of long-term care insurance contracts, including a brief history of the tax treatment of long-term care insurance, the requirements that must be satisfied in order to be treated as qualified long-term care insurance under the Internal Revenue Code, and a brief discussion of qualified long-term care combination products and chronic and terminal illness accelerated death benefits offered under life insurance contracts.

Description: Chairperson of the LTC Section reflects on his three-year term on the LTC Section Council.

Description: This article provides an overview of the current Artificial Intelligence ("AI")/Machine Learning ("ML") regulatory landscape and governance considerations for insurers deploying AI/ML for their long-term care business.

Description: Description * Coinsurance has not been widely offered as a benefit reduction option to offset long-term care premium rate increases. This article uses an illustrative example to evaluate the potential impact coinsurance could have on an insurance carrier's future claim liabilities and a policyholder's premium rates. It also explores various considerations insurance carriers, regulators, and policyholders should think about when evaluating whether coinsurance is the right option.

Description: Congress authorized the creation of the RAISE Family Caregiving Advisory Council in 2018. The Council, comprised of family caregivers and experts from a wide variety of stakeholder organizations in both the private and public sector, have been engaged in an in-depth research effort over the last two years to develop recommendations and an implementation plan to address our national caregiving crisis. This article describes their work and the newly released Report to Congress.

Description: A summary of the recent SOA Product Development Section webinar, Challenging the Status Quo: Emerging LTC Product Designs. Summarizes discussions on how the LTC industry can overcome existing hurdles and evolve to meet consumer needs.

Description: This article describes the recent development of pilot wellness programs for Long-Term Care insurance and suggests why they are beneficial to both policyholders and insurance companies.

Description: Following recent SOA Research, we look at how climate scenarios will affect Long Term Care assumptions and business.

Description: Private LTC insurers are paving the way for value-based care through working to implement care management programs that improve the lives of their policyholders before and during a claim. However, measuring the effectiveness of these new programs is a challenging task. In this article, we will explore powerful tools that can enhance traditional effectiveness studies and address some of their existing weaknesses.