Summer 2017 SAVI Online Magazine Emagazine Summer 2017 mn and ae edits - web | Page 2
INTRODUCTION
“Where a person lives is an integral factor when considering an
individual’s and a community’s healthcare concerns and vulnerabilities”
• Students in public health are using
SAVI in their research to more
completely understand and identify
the socioeconomic determinants
of health.
• The report, Unequal Access: Tobacco
Retail in the Indianapolis Metro Area
reveals that tobacco is more readily
available for purchase in areas
that already struggle with quality-of-
life issues.
This issue of SAVI Online Magazine
covers the influence of location on health. The SAVI Community Information
We will share with you highlights from
System allows one to focus on a
four projects that incorporate statistics
particular geography and look at a health
from the SAVI community information
challenge in relationship to other factors,
system. In each instance, data guide
including financial stability, education,
program and policy decisions that will
health, and culture, among others. It
have a significant impact on the health of also allows one to see across a larger
a community’s residents and population
community such as a county where a
health in general.
health concern is concentrated and what
• Parkview Health System collaborated other challenges the population in those
with The Polis Center and IU’s
areas face. Armed with this information,
Richard M. Fairbanks School of Public organizations and decision makers can
Health, acting jointly as the Indiana
develop a targeted solution to increase
Partnership for Healthy Communities, successful intervention rates.
to identify the top health concerns
As you will learn through the stories
in Fort Wayne and the surrounding
in this issue, providing better contextual
counties.
information—and integrating information
• The IU Richard M. Fairbanks School
by geography—often results in more
of Public Health is testing a tool
meaningful outcomes.
that integrates medical records and
neighborhood-level data to predict the
best type of treatment for a patient.
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