Description: This is the sixth Intercompany Study of Long–Term Care Insurance. This report combines and analyzes data received from 35 insurers that agreed to provide information to further the knowledge of long–term care insurance. Those insurers are listed in Appendix A of the report. Available data was collected on policies issued between January 1, 1984 and December 31, 2007. Claims incurred on policies in force during this time were followed from claim inception through the earlier of claim termination, or June 30, 2008.

Description: This is the second Intercompany Study of Long–Term Care Insurance. For this report, the committee gathered and refined data that dates back to 1984. This report combines and analyzes data received from 14 insurers that agreed to provide information to further the knowledge of long–term care insurance.

Description: This is the fourth Intercompany Study of Long–Term Care Insurance. This report combines and analyzes data received from 24 insurers that agreed to provide information to further the knowledge of long–term care insurance. Those insurers are listed in Appendix A of the report.

Description: Appendixes for the Evaluating ACO Efficiency: Risk Adjustment within Episodes study. The study aims to answer the question of how much of an episode’s cost and use of specific services can be attributed to the patient’s own health status, as opposed to being driven by other factors such as the care setting, patient preference, and provider practice patterns. In other words, do episode costs vary so widely because of patient characteristics, including health status, or are they related to other, nonclinical factors?

Description: This paper provides an overview of the employee benefit package, provides data and discusses issues with regard to cost variation, and shows how this data can be combined to provide an understanding of the variation for different employee benefit packages.

Description: This paper provides an overview of the employee benefit package, provides data and discusses issues with regard to cost variation, and shows how this data can be combined to provide an understanding of the variation for different employee benefit packages.