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The health insurance market consists of three distinct segments--individual, small group, and large group--each governed by different economic and regulatory structures. A number of border-crossing techniques have arisen for avoiding the burdens of one segment and capitalizing on the benefits of others. Drawing from extensive qualitative research into the functioning of existing market structures, this paper describes these techniques and their purposes and effects.

This study examines all 81 health maintenance organization (HMO) mergers that occurred in the United States from 1985 to 1992. The primary emphasis is on describing organizational factors that are associated with mergers, identifying market environments in which mergers are more likely to occur, and analyzing the financial status of merging HMOs. Overall, the study presents an up-to-date portrait of mergers in this important health care industry. We found that HMO mergers are relatively rare, but, over time, a substantial proportion of HMOs and their enrollees are affected by mergers.

Objective. To assess the experience of enrollees in a consumer-driven health plan (CDHP).

Data Sources/Study Setting. Survey of University of Minnesota employees regarding their 2002 health benefits.

BACKGROUND: Controlling costs and achieving health care quality improvements require the participation of activated and informed consumers and patients. OBJECTIVES: We describe a process for conceptualizing and operationalizing what it means to be "activated" and delineate the process we used to develop a measure for assessing "activation," and the psychometric properties of that measure. METHODS: We used the convergence of the findings from a national expert consensus panel and patient focus groups to define the concept and identify the domains of activation.

Recent proposals to decrease the number of uninsured in the U.S. indicate that the individual health insurance market's role may increase. Amid fears of possible risk-segmentation in individual insurance, there exists limited information of the functioning of such markets. This paper examines the relationship between expected medical expense and actual paid premiums for households with individual insurance in the 1996-1997 Community Tracking Study's Household Survey. We find that premiums vary less than proportionately with expected expense and vary only with certain risk characteristics.

This paper investigates the impact of a $1000 refundable tax credit for self-only coverage on net premiums and insurance purchases for a representative sample of potential buyers in the individual insurance market. Two methods are used to estimate the distribution of premiums: predicted premiums based on a sample of actual purchasers, and premium quotations drawn from an e-insurance web site. In most of the simulations, the net premiums for half or more of the prospective buyers are reduced to zero or low levels.

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This article analyzes a change in “Medigap” regulations that occurred in Missouri in 1999. It allows Medicare beneficiaries in the state to switch to a different carrier each year so long as they retain the same standardized policy type, without losing their open enrollment privileges. The analysis is based on a comparison of various outcomes in Missouri and those in two comparison states, Kansas and Florida.

Capitated contracting of health providers has created substantial change in healthcare markets. This article assesses how capitation affects the roles and relationships of healthcare organizations. In-depth case studies were conducted of eight major hospital-led integrated health networks/systems and two large integrated medical groups. Types of capitated contracts employed, contract support capabilities developed, relationships among providers in the support services, and lessons learned about capitation were explored.

Objective. To determine whether Medicare coverage policies affect utilization of services in Medicare. Data Sources. We constructed an analysis data set for eight different procedures using secondary data obtained from Medicare claims (1999-2002) and Medicare coverage policies posted on Center for Medicare and Medicaid Services website. Study Design. We analyzed the impact of coverage policies using difference-in-difference approach in a regression framework. Principal Findings.