Description: Discover a comparison of U.S. and international mandated leave programs which mandate employers to provide a minimum level of benefits to employees for qualifying leaves of absence, such as parental leave or medical leave.

Description: This report presents the impact of Covid-19 on socioeconomic differentials in mortality in the United States. The study aims to understand how the pandemic affected various socioeconomic groups in the U.S. population.

Description: While states face a wide variety of circumstances and have implemented diverse approaches to the MOE phase-out, we revisit the conversation to discuss emerging experience across stakeholders as we examine the operationalization of the PHE unwinding as it relates to this major disruptor in the distribution of the healthcare enrollment.

Description: "Through both informed policy debate and opinionated social media, there are many current event health topics actively discussed and debated. The question remains... how does one separate out subjective information, seek objective analysis, and at the same time consider where there might be more research needed to come to conclusions? This session will use several current event topicsas examples and discover insights as to where research has been performed, what it may or may not cover, and also note where lines are still blurred and may need further details to be studied. Topics that may be discussed include: How valuable and exact is the use of risk-adjustment for Medicare Advantage What is the health and mortality impact of receiving COVID-19 vaccinations"

Description: Risk adjustment (RA) is a key component for CMS Medicare Advantage program and California Medicaid Managed Care program. While both RA programs follow generally accepted basic principles at a high level, their underlying methodologies and assumptions are also quite different. Due to recent events such as COVID-19 Public Health Emergency and Medicaid redetermination delay and restart, it adds complexity to Risk Adjustment. This is a hot topic in the industry and has significant impact to health plans. Keeping current with risk adjustment program changes and understanding the commonalities and differences of these two government risk adjustment programs is important to our health actuaries. Compare these two risk adjustment programs so you can learn key elements of a risk adjustment program, similarities and differences in methodology and assumptions , as well as special considerations due to serving different populations.

Description: Paid Family and Medical Leave (PFML) benefits have expanded rapidly in recent years as an increasing number of states have required employers to provide these benefits to their employees. Examine recent developments in PFML benefits, for example, the presenters will provide information on which states are introducing or considering PFML programs, what types of benefits are provided, what types of data is available to monitor experience, and what challenges programs have encountered.

Description: This report focuses on disparities in retirement savings based on race and ethnicity. It includes a thorough review of the literature on the extent of racial disparities in retirement savings and possible causes for and correlates of these disparities.

Description: As we entered 2014, actuaries became familiar with three risk stabilizing mechanisms in the early years of the ACA marketplaces, colloquially known as 'the 3Rs'. As we enter 2024, there is renewed focus on rating compliance and risk adjustment. Speakers will highlight pricing considerations when determining cost-sharing reduction premium loads as well as related issues pertaining to risk adjustment and metal tier pricing.

Description: Join this presentation covering the key provisions of the IRA which govern the selection of drugs for negotiation. We will also discuss what these changes mean for all Medicare Part D stakeholders, including: Government Beneficiary Part D Plans Drug Manufacturers Original Content:

Description: This report provides insights into statistical methods for imputing race and ethnicity in the context of insurance industry disparities. It discusses various imputation techniques, performance metrics, and the evolution of methods over time. The aim is to address the lack of consistent data collection on race and ethnicity in insurance datasets.