Description: An update of selected key graphs from the Key Statistics section of previous COVID-19 briefs.

Description: COVID has washed over healthcare like a tsunami—things have been tossed in all directions. According to Medicare actuaries, trends have been turned upside down in 2021, but will reverse back in 2023 as medical costs rebound. It is more prudent to base projections on long run trends for a period after the storm, extrapolating from 2026 forward, leaving the intervening turbulence (years 2022 -2025) mostly unspecified.

Description: The MACRA/QPP Payer Revenue Model is designed to provide Health Plans an estimate of the expected claim cost increase/decrease due to MACRA.

Description: A multi-author collection exploring how catastrophe modeling can be adapted to life and health insurance, particularly in response to the 2025 Los Angeles wildfires.

Description: This report is a discussion of the significant challenges involved in attempting to research with robust analysis the impact of disparities in health care access, cost and quality of care on financial wellness across racial, ethnic, socioeconomic and other demographic groups in the U.S. for reasons other than or in addition to income, wealth or employment status.

Description: On March 6, 2023, The Wall Street Journal hosted its Health Forum, a hybrid all-day event. The virtual meeting featured 11 different events. This white paper focuses on those events. The sessions were informative and fast-paced, with each one providing a quick hit of relevant and cutting-edge information around health care.

Description: The SOA Research Institute along with the International Section, and the Social Insurance and Public Finance Section are pleased to make available a research report that compares international and domestic mandated paid family and medical leave programs. Special thanks to both Sections for their sponsorship of this effort.

Description: In this report, we explore the impact of clustering using the Medical Expenditure Panel Study (MEPS) data for children (aged 5 to 17) to build a bridge between oral health and overall health using dental and medical expenditures. We include social determinants of health as cluster input variables using the Partitioning around Medoids (PAM) method to identify children and their families who could potentially benefit from population health management related to oral health.

Description: This report provides highlights of a weekly survey of practices regarding the mitigation of the spread of COVID-19 in the U.S. during the week of November 21, 2020.

Description: The purpose of this document is to inform the user of the 2022 Health Care Cost Model about the sources of data, other reports, and assumptions which were used to populate this report and drive some of the key considerations.