Abstract #302005

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JSM 2003 Abstract #302005
Activity Number: 409
Type: Contributed
Date/Time: Wednesday, August 6, 2003 : 2:00 PM to 3:50 PM
Sponsor: Section on Health Policy Statistics
Abstract - #302005
Title: Hierarchical Logistic Modeling of Access to Health Care in California
Author(s): Lida M. Becerra*+ and Hongjian Yu
Companies: University of California and University of California, Los Angeles
Address: 536 E Fairview Blvd., Inglewood, CA, 90302-1332,
Keywords: hierarchical ; logistic ; mixed model ; access to health care
Abstract:

Community-level variables are important, but often not utilized, in studies investigating access to health care. Access to health services can be explained not only by individual-level characteristics but also by community-level factors. We will present a hierarchical logistic mixed model to examine the effects of community predictors on the access to health care of individuals in California. The outcome is the probability of having a usual source of care for low-income nonelderly adults with chronic conditions. The data consists of two levels. The first level is individual characteristics: demographics, health insurance type and health status. The second level is community characteristics: physicians per capita, number of clinics, preventable hospitalization rate. The geographic boundary of the contextual variables is the Medical Service Study Area. The source of the individual-level data is the California Health Interview Survey 2001. The sources of the community-level variables are multiple public-use data files.

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