Site Selection Criteria for the Health Insurance Study

by Philip J. Held

Download

Full Document

FormatFile SizeNotes
PDF file 0.8 MB

Use Adobe Acrobat Reader version 10 or higher for the best experience.

Purchase

Purchase Print Copy

 FormatList Price Price
Add to Cart Paperback25 pages $20.00 $16.00 20% Web Discount

Sites for drawing Health Insurance Study (HIS) experimental samples should be chosen to generate estimates that (1) reflect national norms and (2) vary minimally. Selecting several sites rather than a dispersed national sample will reduce variance but may increase bias. Sites should be chosen purposively (rather than randomly) to avoid the biasing effects of "concomitant characteristics," unique local conditions that cannot be controlled by specifying certain demographic characteristics in the sample. Concomitant characteristics most significant to the HIS are the capacity utilization of local physicians and hospitals, and regional effects on the demand for health care. Variance can also be reduced by lowering experimental costs, which permits a larger sample for a given budget. Intersite cost differences in the HIS will ultimately depend on local hospital charges, local physicians' fees, and minimum coinsurance rates and deductibles in participants' preexisting health insurance policies.

This report is part of the RAND Corporation Note series. The note was a product of the RAND Corporation from 1979 to 1993 that reported other outputs of sponsored research for general distribution.

Permission is given to duplicate this electronic document for personal use only, as long as it is unaltered and complete. Copies may not be duplicated for commercial purposes. Unauthorized posting of RAND PDFs to a non-RAND Web site is prohibited. RAND PDFs are protected under copyright law. For information on reprint and linking permissions, please visit the RAND Permissions page.

The RAND Corporation is a nonprofit institution that helps improve policy and decisionmaking through research and analysis. RAND's publications do not necessarily reflect the opinions of its research clients and sponsors.