Using the Logic Model for Epidemiological Investigation
description
Transcript of Using the Logic Model for Epidemiological Investigation
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
23年 4月 22日 www.drugs.indiana.edu 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
availableAvailable 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…
23年 4月 22日 www.drugs.indiana.edu 3
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
About the Logic Model
23年 4月 22日 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
23年 4月 22日 www.drugs.indiana.edu 5
Logic Model Data SourcesFill 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.
23年 4月 22日 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
23年 4月 22日 www.drugs.indiana.edu 7
Logic Models Answer a Problem Statement – Step 1
23年 4月 22日 www.drugs.indiana.edu 8
Logic Models Answer a Problem Statement – Step 1
23年 4月 22日 www.drugs.indiana.edu 9
Logic Model CalculationsTo find the “HOT SPOTS” in your data:
# of positive responses/populationBe 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.
23年 4月 22日 www.drugs.indiana.edu 10
Calculate the Percentages
23年 4月 22日 www.drugs.indiana.edu 11
Infrastructure IdentificationUsing 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.
23年 4月 22日 www.drugs.indiana.edu 12
Infrastructure already in place
23年 4月 22日 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
Indiana Prevention Resource Center501 North Morton Street, Suite 110
Bloomington, IN 47404Phone: (800) 346-3077Fax: (812) 855-4940
E-mail: [email protected]: http://www.drugs.indiana.edu