Address correspondence to Sean Nicholson, Ph.D., Cornell University, 133 MVR Hall, Ithaca, NY 14853. Dr. Nicholson is also with the National Bureau for Economic Research. Kate Bundorf, Ph.D., M.B.A., is with Health Research and Policy, Stanford University, Stanford, CA. Rebecca M. Stein, Ph.D., is with the Economics Department, and Daniel Polsky, Ph.D., is with General Internal Medicine, University of Pennsylvania, Philadelphia.
The Magnitude and Nature of Risk Selection in Employer-Sponsored Health Plans
Article first published online: 8 NOV 2004
Health Services Research
Volume 39, Issue 6p1, pages 1817–1838, December 2004
How to Cite
Nicholson, S., Bundorf, K., Stein, R. M. and Polsky, D. (2004), The Magnitude and Nature of Risk Selection in Employer-Sponsored Health Plans. Health Services Research, 39: 1817–1838. doi: 10.1111/j.1475-6773.2004.00320.x
We would like to thank the Robert Wood Johnson Foundation for supporting this research project.
- Issue published online: 8 NOV 2004
- Article first published online: 8 NOV 2004
- Risk selection;
- adverse selection;
- risk adjustment
Objective. To determine whether health maintenance organizations (HMOs) attract enrollees who use relatively few medical resources and whether a simple risk-adjustment system could mitigate or eliminate the inefficiency associated with risk selection.
Data Sources. The first and second rounds of the Community Tracking Study Household Survey (CTSHS), a national panel data set of households in 60 different markets in the United States.
Study Design. We use regression analysis to examine medical expenditures in the first round of the survey between enrollees who switched plan types (i.e., from a non-HMO plan to an HMO plan, or vice versa) between the first and second rounds of the survey versus enrollees who remained in their original plan. The dependent variable is an enrollee's medical resource use, measured in dollars, and the independent variables include gender, age, self-reported health status, and other demographic variables.
Data Collection Methods. We restrict our analysis to the 6,235 non-elderly persons who were surveyed in both rounds of the CTSHS, received health insurance from their employer or the employer of a household member in both years of the survey, and were offered a choice of an HMO and a non-HMO plan in both years.
Principal Findings. We find that people who switched from a non-HMO to an HMO plan used 11 percent fewer medical services in the period prior to switching than people who remained in a non-HMO plan, and that this relatively low use persisted once they enrolled in an HMO. Furthermore, people who switched from an HMO to a non-HMO plan used 18 percent more medical services in the period prior to switching than those who remained in an HMO plan.
Conclusions. HMOs are experiencing favorable risk selection and would most likely continue to do so even if employers adjusted health plan payments based on enrollees' gender and age because the selection is based on enrollee characteristics that are difficult to observe, such as preferences for medical care and health status.