Description: How does where you live impact your health? The following research considers this question through the lens of social determinants of health (SDOH), which are factors relating to where you live or work that may impact your health. In the United States, there are geographical differences in SDOH which contribute to wide disparities in health status and outcomes. In particular, individuals who are negatively affected by SDOH may have an increased burden of disease, leading to a relatively high total cost of care and worse quality of life.

Description: As part of an upcoming Society of Actuaries (SOA) research release to model health care costs in 2020 and 2021, a set of “Return Stages” were created in order to define the various level of activities being observed, as well as to contemplate the ways these stages may progress as various cities, counties and states release their own phasing processes for returning their jurisdictions to normal.

Description: Guidance and a model for actuaries to use when performing their professional services related to Medicaid (Title XIX) and Children’s Health Insurance Program (CHIP or Title XXI) managed care capitation rate setting.

Description: The aftershocks of the COVID pandemic will pass --- eventually. Government subsidies and spending soared in 2020 to meet the challenges of the pandemic. Health expenditures leapt from 17.6% of GDP to 19.7%, and then dropped to 18.8% in 2021, and will fall again to 18.2% (projected) in 2022, but are expected to return to the long-run trend by 2024 and gradually rise thereafter. However, during the next few years most attention will be paid to dealing with complex aftershocks from the flood of Covid funding in 2020 and 2021, a surge of inflation in 2022, and a looming recession in 2023.

Description: The Society of Actuaries (SOA) is pleased to present historical U.S. population mortality rates by gender and single year of age for calendar years 2000-2020. To develop these rates, the SOA relied upon data furnished by the Centers for Disease Control and Prevention, Centers for Medicare and Medicaid Services, the U.S. Census Bureau, and the Social Security Administration. A document summarizing key observations and the process used to develop the rates, along with a table of the rates themselves, can be found below.

Description: This report investigates how mental health diagnoses and social determinants influence life insurance underwriting and mortality risk.

Description: Tree models have been found to provide a good fit to group long term disability recovery and mortality rates. This research paper provides an overview of tree models, and details how they have been used for developing these rates.

Description: The Health Care Cost Trends Strategic Research Committee is looking for a risk adjustment proposal that will examine the current risk adjustment landscape in the US and globally and the effect of increased complexity on risk adjustment accuracy.

Description: This report explores the adoption and impact of artificial intelligence and large language models in the Greater China insurance industry, drawing from surveys and case studies.

Description: Data file for Commercial Health Care Cost and Utilization Trends From 2009–2015 research report.