Spatial Data Analysis for Health Services Research

Authored by: Brian Neelon

Handbook of Spatial Epidemiology

Print publication date:  April  2016
Online publication date:  April  2016

Print ISBN: 9781482253016
eBook ISBN: 9781482253023
Adobe ISBN:

10.1201/b19470-34

 Download Chapter

 

Abstract

Spatial data analysis is playing an increasingly important role in health services research, enabling policy makers to better understand the health needs of communities, to identify barriers to health care, and to allocate health resources in a cost-effective manner. To date, spatial models have been used to explore geographic variation in hospital referral rates (Congdon, 2006; Congdon and Best, 2000), emergency department visits (Congdon, 2006; Neelon et al., 2014, 2013), and access to primary care services (Mobley et al., 2006). Spatial methods have also been developed to examine geographic and temporal trends in health services costs and patient medical expenditures (Moscone et al., 2007; Moscone and Knapp, 2005; Neelon et al., 2015a, 2015b). These efforts continue to inform policy decisions and guide community-based efforts to improve access to health care.

 Cite
Search for more...
Back to top

Use of cookies on this website

We are using cookies to provide statistics that help us give you the best experience of our site. You can find out more in our Privacy Policy. By continuing to use the site you are agreeing to our use of cookies.