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Potential methods to reduce risk selection and its effects.

Risk differences are inherent with voluntary enrollment or choice of health plans. If these desirable features are to be maintained, risk differences must be assessed and payments to plans adjusted. Perfect prediction of individual level costs is impossible, but it is feasible to approximate costs for large groups of employees joining a purchasing cooperative. When people within an employee group or cooperative can choose among different health plans, there is much more opportunity for risk selection. A fair but powerful referee to determine adjustment methods within the cooperative's zero-sum setting may reduce markedly the potential for selection problems.

Actuarial Analysis↗

The practice of risk adjustment.

This article focuses on risk adjustment under health care reform. It examines reasons for risk adjustment, how those reasons affect the method of adjustment, and practical issues that arise in the process of adjusting for risk. The paper concludes that adjusting payments to health plans makes the most sense. It advocates a risk adjustment agency that is regionally based and supportive of the public good. For risk adjustment to work, there must be a well-defined market and barriers to entry and exit.

Actuarial Analysis↗

Making risk adjustment work for everyone.

This article explores how to reward health plans that serve people with disabilities and residents of low-income areas. We analyze health care expenditure patterns for Medicaid-covered persons with disabilities in Ohio, Missouri, Minnesota, and Wisconsin, demonstrating that diagnostic classifications are predictably related to resource utilization, and that health care expenditures are much more predictable for persons with disabilities than for the nondisabled. The implications of this analysis for risk-adjusted payment systems are explored. We also consider methods of assuring that health plans will provide high-quality care to the residents of inner city neighborhoods.

Actuarial Analysis↗

Asymmetric information and the demand for Medigap insurance.

The Medigap insurance market has been characterized as having considerable cross-policy variation in contract design and relatively high premiums vis-a-vis average risk exposure. One explanation for these characteristics is that adverse selection exists in the Medigap market. The purpose of this study is to investigate adverse selection effects among those purchasing Medigap insurance. Findings are consistent with the presence of adverse selection in the Medigap market and premium cross-subsidization from low- to high-risk insured individuals.

Health Expenditures↗

Genetic testing and insurance. The Ad Hoc Committee on Genetic Testing/Insurance Issues.

The rapid expansion of opportunities for genetic testing has been accompanied by complex questions about the appropriate relationships between providers, patients, and insurers. Some of these questions involve large public-policy decisions, such as whether the government should guarantee access to health care for all citizens. Universal access to health care, without regard to past, present, or future risk of disease, could eliminate risk-oriented underwriting in health-care coverage. A positive response to that question will ameliorate other problems. Until universal access is reality, genetic testing and genetic diagnosis will raise important issues for the practicing geneticist. How much does a client need to know about insurance implications before consenting to a genetic test? Should patients be counseled to purchase insurance before being tested? Should genetic information be excluded from medical records before their release to insurance companies for routine reimbursements or underwriting? What are the ethical and legal responsibilities of the geneticist?

Confidentiality↗

You can't buy insurance when the house is on fire. Community rating kills health insurance.

Why does health insurance cost so much? According to the vice president at the insurance company that pioneered high-deductible health insurance to go with medical savings accounts, a big factor is that insurance companies are being asked to solve social problems. Mr Hartnedy offers a solution to America's healthcare-delivery plight that includes empowerment of individuals and preservation of choice.

Actuarial Analysis↗

Selection in a preferred provider organization enrollment.

OBJECTIVE: The study was conducted to determine whether favorable or adverse selection occurred in a preferred provider organization (PPO) enrollment. DATA SOURCES AND STUDY SETTING: Secondary data sources were used to conduct a retrospective study of the utilization of health services and the demographic characteristics of the population involved in the first open enrollment in a new university-based PPO. The PPO under study, sponsored by the University of Michigan (UM) Medical Center, was offered to all 43,005 UM employees, dependents, and retirees. STUDY DESIGN: We analyzed insurance company payments during the one-year period prior to the enrollment to compare the utilization patterns of those who enrolled in the PPO with those who did not. DATA COLLECTION: Prior health care utilization data were obtained from Blue Cross-Blue Shield of Michigan on the entire university population for one year prior to the start of the PPO. Demographic data were obtained from the personnel office of the university. PRINCIPAL FINDINGS: The PPO group had a younger median age than the non-PPO group; the sex distribution was roughly similar for the two groups. In the PPO group 57 percent of all contracts were family contracts compared with only 30 percent in the non-PPO group. The PPO group experienced 20.6 percent lower inpatient payments per member, and 9.4 percent lower outpatient payments per member in the year prior to the enrollment. These differences resulted in an overall 18.7 percent lower payment per member for the PPO group in the year prior to their enrollment. CONCLUSIONS: The results show, based on prior insurance payments, that this PPO received favorable selection during the open enrollment, a finding consistent with favorable selection found in early HMO enrollment.

Academic Medical Centers↗

Genetic testing.

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Genetic Counseling↗

Insurance underwriting in the genetic era.

Genetic technology is assuming a greater role in the practice of medicine. Insurers have a vested interest because individually underwritten insurance cannot be sold without risk classification, and much of the medical information needed to classify risks will have a genetic component. This paper reviews recent genetic advances and their potential impact on life, disability income, long-term care, and critical illness insurance. Alzheimer disease is chosen to illustrate the effect of an organized effort to withhold medical information from insurance companies. Consumers will not support a private insurance mechanism with extensive cross-subsidization among policyholders and where medical information becomes inviolate simply because it is genetic. A framework for deliberations with the medical community is proposed.

Alzheimer Disease↗

Are health-based payments a feasible tool for addressing risk segmentation?

As they attempt to increase health insurance coverage and improve the efficiency of the market, researchers, policymakers, and health plan representatives have been addressing the issue of risk segmentation. Many risk assessment tools and risk-adjusted payment methodologies have been developed and demonstrated for a variety of populations and payers experiencing various market constraints. The evidence shows that risk-adjusted payments are feasible for most populations receiving acute care, while technical obstacles, political issues, and some research gaps remain.

Health Care Sector↗