Description: This report has been written to provide a primer on the measurement known as R0 (pronounced “R-naught”), which is commonly used in epidemiology. The R0 metric has received extensive press coverage since the outbreak due to its importance in the measurement of the spread of COVID-19.

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: 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: The Centers for Medicare and Medicaid Services (CMS) recently released the final 2020 Actuarial Value Calculator and Actuarial Value Calculator Methodology

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: The Society of Actuaries (SOA) commissioned Milliman to develop this report to provide health care stakeholders—patients, payers, policymakers and actuaries—with a comprehensive description of DPC as well as an objective actuarial evaluation of certain claims made about the DPC model of care.

Description: Supplemental Appendices for Using Social Determinants to Identify Profiles of U.S. Children with Low Dental Expenditures and High Medical Expenditures with Clusters

Description: Supplemental Appendices for Using Social Determinants to Identify Profiles of U.S. Children with Low Dental Expenditures and High Medical Expenditures with Clusters

Description: This discussion on overinsurance focuses on speculative buying of life, AD&D, and disability insurance, the effect of expanded disability provisions in the Social Security Act on underwriting disability benefits, and the avoidance of overinsurance in medical benefits.

Description: Healthcare costs have been rising faster than general inflation for many years. Early models that predicted this past pattern projected healthcare expenditure growth that continued to outpace total expenditure growth leading to the fallacious position that the whole of the US economy would ultimately be consumed by healthcare. This paper presents a long term healthcare trends resource model, prepared for the Society of Actuaries by Professor Thomas Getzen, that includes capacity constraints to ensure the long-term projection is rational. The motivation for creation of the model was driven by its potential usage as a resource for the estimation of reportable liabilities for retiree healthcare benefits as specified under FAS 106 and GASB 45 accounting statements.