How to use a logic model to plan and identify appropriate intervention strategies'

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How to use a logic model to plan and identify
appropriate intervention strategies.

• WV SPF SIG
• Regional Learning Opportunity
• July 2006

The Partnership is staffed by the WV Prevention
Resource Center and funded by a federal Strategic
Prevention Framework State Incentive Grant (SPF
SIG) awarded to the State of West Virginia by the
U.S. Dept. of Health Human Services - Substance
Abuse Mental Health Services Administration -
Center for Substance Abuse Prevention. 
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Objectives for this RLO

• Discuss homework issues that emerged since June
  RLO
• Understand the application and relevance of the
  logic model for outcome-based planning

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Agenda for the day

• SPF SIG housekeeping
• Homework review
• Local Partnerships
• Lunch break
• Learn about logic models
• Small group work
• 2. Large group discussion
• Wrap-up/adjourn

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SPF SIG Housekeeping and Reminders

• Register online for the RLOs, otherwise you
  will not be included in the lunch count.
• Prepare for upcoming site visit.
• Turn in monthly progress reports on time.
• Continue to update narratives and submit to
  CDS.

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July Homework Review/ Discussion Questions

• What issues or questions have arisen over the
  last month regarding the community readiness
  survey? How were the issues addressed?
• A narrative checklist was sent to each county
  project director. After reviewing the checklist,
  what questions or concerns arose regarding your
  narrative? What assist might you need at this
  time?

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Logic Models

• Helping to promote successful planning and good
  outcomes for communities

Adapted from CSAP Multi-state workshop Logic
Models for Outcome-based Prevention May 2006,
Bethesda, MD

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Why Outcome-based Prevention?
Starts with a focus on and attention to the SPF
SIG goals (reducing use and related
problems) Increases the likelihood of targeting
significant problems (data-guided) Identifies and
targets key intervening variables contributing to
consequences/consumption Links strategies to key
intervening variables and ultimately
consequences/consumption Builds a basis for
ongoing monitoring and evaluation activities to
track and improve prevention efforts Lead with
results, not with programs
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Outcome-Based Logic Models
Represent complex systems of cause and
effect Encourage planners and implementers to
focus on the most important and strongest paths
for creating change Must be constantly
reviewed/revised to understand relationships,
adapt to new circumstances, and accommodate
success Adaptable for iterative
assess/plan/evaluate/re-plan SPF SIG process
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What is a logic model?

• A graphic representation or map of a phenomenon
  often represents a theory of the problem and/or a
  theory of action to address it.
• An Outcome-Based Logic Model for substance abuse
  prevention maps the identified problem in terms
  of three components
• A clear definition of problem(s) to be addressed
  (consequences and behaviors)
• Intervening variables which have scientific
  evidence of contributing to the problem, and
• Prevention strategies (programs, policies,
  practices) with evidence of effectiveness to
  impact one or more intervening variable and/or
  the targeted problem.

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• OKwe have learned about the importance of using
  data to identify substance abuse use, consequence
  of use and consumption patterns.
• We also know that data is important for building
  a good, realistic plan. The data needs to match
  the strategy.
• But, what in the world is an intervening
  variable? And, why should I care?

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Intervening Variables
Factors that have been identified as being
strongly related to and influence the occurrence
and magnitude of substance use and its
consequences.
SCIENTIFIC KNOWLEDGE ABOUT PREVENTION STRATEGIES
SUBSTANCE USE and RELATED CONSEQUENCES
Intervening Variables
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Some intervening variables may also be referred
to as Risk Protective factors.

• Community Level Factors
• Availability of substances (price, retail,
  social)
• Promotion of substances
• Social Norms regarding use
• Enforcement of Policies and Social Norms
• Individual Level Factors
• Perceptions of risk and harm
• Positive attitude toward drug use

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Small group exercise on logic models
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Logic Model for X County - Tobacco
Substance Use (Consumption)
Mediating or Casual Factors
Strategies
Substance- Related Consequences


Tobacco Mortality

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Logic Model for X County - Alcohol
Substance Use (Consumption)
Mediating or Casual Factors
Strategies
Substance- Related Consequences
Adults in treatment Alcohol traffic fatalities
(30-54 age) Alcohol traffic fatalities per
100,000 30-54 age) Alcohol related crashes (30-54
age) Alcohol related crashes rates per 100,000
(30-54 age) Economic loss Youth alcohol
arrests Youth liquor license Violation

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Logic Model for X County Illicit Drugs
Substance Use (Consumption)
Mediating or Casual Factors
Strategies
Substance- Related Consequences
Youth in substance abuse treatment Adults in
substance abuse treatment for opiates Drug
other substance mortality Alcohol related
crashes (30-54 age) Youth adult drug related
arrests

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Homework for August

• Begin work on Logic Model by completing the first
  three sections (consequence, consumption and
  mediating factors) with findings from assessment
  narratives.

Due by 20th of August, or you may bring it to a
August RLO if it occurs after the 20th.