5077.0: Wednesday, October 24, 2001: 8:30 AM-10:00 AM

Oral Session

Health Insurance Surveys and Cost-Effectiveness

The plight of the substantial proportion of the U.S. population without health care insurance has been a prominent issue in our national political conversation for most of the last decade, and no clear solution is in sight. Papers in this session will review current data on the size of the uninsured population and critique the survey methodologies used to count the uninsured population, and to distinguish the publicly from the privately insured. Cost-effectiveness evaluation is central to the viability of any proposed change in the health care system to address this problem. A reformulation of cost-effectiveness analysis within a standard regression framework will be suggested as an improvement to conventional methods of dealing with such evaluations in the health care literature.
See individual abstracts for presenting author's disclosure statement.
Learning Objectives: At the conclusion of the session, the participant should be able to: 1. Describe our current understanding of five-year trends in health insurance coverage and its sources, as well as population subgroups most at risk for being uninsured and, among the insured, factors associated with insurance from public vs. private sources. 2. Recognize the limitations of health insurance data, and articulate issues of questionnaire and sample survey design that limit validity and interpretability of current survey data. 3. Describe how cost-effectiveness analysis may be placed within the framework of standard regression analysis.
Presider(s):Steven B. Cohen, PhD
8:30 AMHealth insurance status of the civilian noninstitutionalized population: 1996-2000
Jeffrey A. Rhoades, PhD
8:50 AMTracking the uninsured ... evolving issues and new challenges
Terry L. Richardson, PhD, Stephen Blumberg, PhD, Marcie Cynamon, MA, Trena Ezzati-Rice, MS
9:10 AMHealth insurance measurement methodologies: a data quality assessment
Joanne Pascale, MA
9:30 AMSomething old, something new, something borrowed, something BLUE: A framework for the marriage of health econometrics and cost-effectiveness analysis
Jeffrey S. Hoch, Andrew H. Briggs, Andrew R. Willan
9:50 AMDiscussion
CE Credits:CME, Health Education (CHES), Nursing, Pharmacy, Social Work

The 129th Annual Meeting of APHA