Background: The widely used Health Plan Employer Data and Information Set (HEDIS) measures may be affected by differences among plans in sociodemographic characteristics of members.
Objective: The objective of this study was to estimate effects of geographically linked patient sociodemographic characteristics on differential performance within and among plans on HEDIS measures.
Research Design: Using logistic regression, we modeled associations between age, sex, and residential area characteristics of health plan members and results on HEDIS measures.
IEEE Trans Biomed Eng
September 1984
The most innovative aspect of institutional biosafety committees, responsible in the United States for local oversight of recombinant DNA research is mandatory participation from outside the institution. A survey of Californian committees and selected national data reveals wide variability in committee structure and procedures. Public participation, although constrained in various ways, has been generally constructive.
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