5061.0: Wednesday, November 15, 2000 - 9:15 AM

Abstract #13759

Statistical methods for adjusting differences due to self-selection into health plans

Sharon-Lise Normand, PhD, Harvard Medical School, Harvard Medical School, Department of Health Care Policy, 180 Longwood Ave, Boston, MA 02115, 617-432-3260, sharon@hcp.med.harvard.edu

In observational studies, self-selection into health plans is likely to result in differences in severity of illness, socio-demographic or other characteristics that are known to affect outcome of treatment. Under these circumstances, it is important to find ways to statistically control for these differences. This presentation will describe the methods used in the Quality of Care study to adjust for case-mix differences.

Learning Objectives: To learn about the importance of adjusting data for differences due to self-selection into health plans and to hear a description of an application of these methods in a study of quality of care

Keywords: Statistics,

Presenting author's disclosure statement:
Organization/institution whose products or services will be discussed: None
I do not have any significant financial interest/arrangement or affiliation with any organization/institution whose products or services are being discussed in this session.

The 128th Annual Meeting of APHA