Using the Logic Model for Epidemiological Investigation

1. Using the Logic Model for Epidemiological Investigation Katharine Sadler Special Appreciation for Logic Model references go to Eric Wright and staff at IUPUI Center for Health Policy

2. Logic of Data Analysis (from E. Wright’s presentation) What’s Going on in the Community? • Taking information from state to county level when available • Available and drilled down information • Treatment Episode Data Set (TEDS) • Uniform Crime Report (UCR) • Vehicle Crash Records System (VCRS) • Social Indicator System (SIS) and Prev-Stat from Indiana Prevention Resource Center (IPRC) • Other… www.drugs.indiana.edu

3. About the Logic Model • Graphical description of inter-related factors associated with drug use and consequences • Develops understanding of factors involved • Highlights important assessment data to collect • Identifies factors to be addressed by intervention • Guides evaluation of program outcomes www.drugs.indiana.edu

4. Logic Model Workshop • Identify local data for as many boxes as possible. Starting with consequences, working backward • Operationalize: Identify indicators used to measure concepts. • What other data sources could be accessed? • Assessment Toolkit, Focus Groups www.drugs.indiana.edu

5. Logic Model Data Sources • Fill in your logic model worksheet with data sources, indicators, and data that you have or are waiting on. • When available, identify at least one possible data source for each box. • Identify data that you still need or could use to triangulate on information you already have. • Share ideas on data sources with group members. www.drugs.indiana.edu

6. Logic Models Answer a Problem Statement – Step 1 Special Appreciation for Logic Model references go to Eric Wright and staff at IUPUI Center for Health Policy www.drugs.indiana.edu

7. Logic Models Answer a Problem Statement – Step 1 www.drugs.indiana.edu

8. Logic Models Answer a Problem Statement – Step 1 www.drugs.indiana.edu

9. Logic Model Calculations • To find the “HOT SPOTS” in your data: • # of positive responses/population • Be careful to be sure that the accurate population has been identified • Gender: # of males/total population • Child neglect: # of drug/alcohol related cases/# of cases • Be sure to triangulate information when ever possible. • Share ideas on data sources with group members. www.drugs.indiana.edu

10. Calculate the Percentages www.drugs.indiana.edu

11. Infrastructure Identification • Using what you’ve learned, brainstorm existing programs, policies or practices that address the causal factors. • Try to make an exhaustive list of the programs, policies, and practices that addresses your high-priority causal factors. • Consider the scope and reach of policy, program or practice. www.drugs.indiana.edu

12. Infrastructure already in place www.drugs.indiana.edu

13. Next Steps in the Logic Model • Epi-Profile or Problem Statement -From Logic Model • Why is this an issue • Why is the issue in my Community • Strategic Plan • Strategies already in place • Activities associated with these strategies • Should they be reinforced by us? • Strategies that should be implemented • Weak data that need more research • Focus Groups • Other data sources • Untouched areas of community • Outcomes • Short Term • Intermediate • Long term • Should include Sustainability, Capacity building and Cultural Competence www.drugs.indiana.edu

14. Thank You ! Indiana Prevention Resource Center 501 North Morton Street, Suite 110 Bloomington, IN 47404 Phone: (800) 346-3077 Fax: (812) 855-4940 E-mail: drugprc@indiana.edu WWW:http://www.drugs.indiana.edu