HIGH CHANGEABILITY LOW HIGH LOW In this section, you will identify measures for all of the local conditions you prioritized as high importance and these will be your short-term outcomes on your PFS logic model and evaluation plan. These measures are necessary in order to determine whether your prevention efforts have made an impact on your local condition. Be aware that how well the strategy is implemented (measured through process measures) can have an impact on short term outcomes. Considering all the local conditions in Table 6.1 were identified as you will be developing short-term outcomes for each regardless of the or “Important,” – “high” “low” changeability ranking. Short-term outcomes are the initial expected changes in your target population(s) after implementing certain strategies and activities (e.g., changes in knowledge, skills, and attitudes). The short-term outcomes link to the local conditions column in your logic model. These measures are necessary in order to determine whether your prevention efforts have made an impact on your identified problem, or whether you have made an impact on your local condition. To select measurements for your short-term outcome, you will need to know what data indicators were used when identifying the high importance local conditions. When writing outcomes, it is best to follow the SMART model. SMART outcomes are: Specific: includes the and only one action verb to avoid issues with “who”, “what”, “where”. Use measuring success. Measurable: focuses on change is expected. “how much” Achievable: realistic given program resources and planned implementation.
CHANGEABILITY HIGH LOW HIGH LOW In this section, you will identify measures for all of the local conditions you prioritized as high importance and these will be your short-term outcomes on your PFS logic model and evaluation plan. These measures are necessary in order to determine whether your prevention efforts have made an impact on your local condition. Be aware that how well the strategy is implemented (measured through process measures) can have an impact on short term outcomes. Considering all the local conditions in Table 6.1 were identified as “Important,” you will be developing short-term outcomes for each – regardless of the “high” or “low” changeability ranking. Short-term outcomes are the initial expected changes in your target population(s) after implementing certain strategies and activities (e.g., changes in knowledge, skills, and attitudes). The short-term outcomes link to the local conditions column in your logic model. These measures are necessary in order to determine whether your prevention efforts have made an impact on your identified problem, or whether you have made an impact on your local condition. To select measurements for your short-term outcome, you will need to know what data indicators were used when identifying the high importance local conditions. When writing outcomes, it is best to follow the SMART model. SMART outcomes are: Specific: includes the “who”, “what”, and “where”. Use only one action verb to avoid issues with measuring success. Measurable: focuses on “how much” change is expected. Achievable: realistic given program resources and planned implementation.
Planning_PFS.docx