pubhlth: program planning & policy advocacy

vision statement

• org’s dream of how u want the world to look

• should be forward thinking, visionary

• short, easy to understand & easy to communicate

• broad & inspiring

mission statement

• what the org is going to do & why it’s going to do that

• may be longer than a vision statement, but still concise

• focus on the outcome you are working to achieve

• inclusive of communities, sectors, & strategies

other things w/ vision & mission for orgs

• core values/commitments

• logo

• history

• list of partners

• annual reports

• strategic plan

issue selection

• choosing the issue or having it choose you

  • reactive vs proactive

• choosing issues w/ communities

  • dept, breadth, org mileage

issues selection for community-based orgs (CBO)

• consistency

• capacity

• education

• tactics

logic model

• roadmap or picture of how an intervention is supposed to work

• reveals “what causes what, and in what order”

• explains a health program’s theory or rationale

• makes planners’ assumptions explicit

• provides a means for reviewing progress & making adjustments

• a flexible, adaptable visual to help with planning & evaluation

logic model components

• purpose/misison

• context/conditions

• inputs/resources

• acitivites/interventions

• outputs

• effects/outcomes/impacts

  • short-term/intermediate effects

  • mid-term/intermediate effects

  • long-term/ultimate effects

when are logic models used?

• during planning

• during implementation

• during staff & stakeholder/partner orientation

• during evaluation

• during advocacy

effective logic models

• link activities with their intended effects

• are visually engaging, simple, and parsimonius

• contain the appropriate level of detail for its purpose

• provokes thought

• triggers questions

• includes forces known to influence the desired
  outcomes

benefits of logc models

• integrate planning, implementation, & evaluation

• prevents mismatch between activities & effects

• leverages partnerships

• enhances accountability to desired outcomes

• helps set priorities for resource allocation

• reveals the data needs

• provides a framework for interpreting results

• integrates research findings with practice wisdom

• refines shared language & vision for community change

limitations of logic models

• there is always the possibility that your model will not be correct

• there may be unintended consequences of implementing your logic model without further assessment and adjustment

• establishing the appropriate boundaries of a logic model can be difficult

• can be time & energy consuming

dominant frames

cultural values or mental structures that help people understand the world