The 130th Annual Meeting of APHA |
William J. Bailey, MS, MPH1, E. Lisako Jones-McKyer, MPH1, Mohammad Rahim Torabi, PhD, MPH2, and Mi Kyung Jun, MPH1. (1) Indiana Prevention Resource Center, Indiana University, Creative Arts Building Room 110, 2735 East 10th Street, Bloomington, IN 47408, (2) Dept. of Applied Health Sciences, Indiana University, HPER 116, 1025 E. 7th Street, Bloomington, IN 47405
PREV-STAT [Prevention Statistical Analysis Tool] is a prevention planning computer application developed and used by the Indiana Prevention Resource Center at Indiana University. Adapted from the "COMSTAT" tool used in community policing, PREV-STAT integrates a desktop demographics analysis program (PCensus), a high-end geocoding program (MapMarker Plus), and a mapping/geographic information systems program (MapInfo) to create a "statistical picture" of a community that is useful in alcohol, tobacco, and other drug prevention program planning. The system uses datasets that are associated with census blocks, which can be aggregated to analyze geographic areas ranging from the census block level through county-wide and state-wide units of analysis. Datasets used include U.S. Census of Population and Housing 2000; commercially-produced market research datasets, including PRIZM, MicroVision50, and Mozaic market segmentation and clustering systems; consumer lifestyle and behavior and household spending data, and 20-year population projections; and locally-geocoded datasets such as those with the locations of alcoholic beverage vendors, tobacco retailers, schools and youth centers, prevention programs, and community infrastructure assets that can support prevention programs. This session will focus on neighborhood characteristics and alcohol outlet density.
PREV-STAT allows users to examine the spatial relationships between and among the data and community geography. Neighborhood-by-neighborhood analysis is facilitated, and data may be displayed in tabular and/or mapped formats. PREV-STAT helps users locate audiences for prevention programs and campaigns, identify the characteristics of those audiences, develop strategies for reaching them, select locations for delivering them, and evaluate their using time-series analysis of changes over time.
Learning Objectives: At the conclusion of this session, the participant in this session will be able to
Keywords: Substance Abuse Prevention, Geocoding
Related Web page: www.drugs.indiana.edu/drug_stats/prev-stat.html
Presenting author's disclosure statement:
Organization/institution whose products or services will be discussed: Indiana Prevention Resource Center
Tetrad Computer Applications, Inc.
MapInfo Corporation
I have a significant financial interest/arrangement or affiliation with any organization/institution whose products or services are being discussed in this session.
Relationship: full-time employee of the Indiana
Prevention Resource Center at Indiana
University