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Using Logic Models as Learning Tool: Practical Lessons From Evaluating Health Programs
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| Presenter(s):
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| Robert LaChausse,
California State University, San Bernardino,
rlachaus@csusb.edu
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| Abstract:
A fundamental issue in program evaluation is learning to uncover the links between program activities and program outcomes. Evaluators have been encouraged involve stakeholders in developing a logic model that links program activities to anticipated results. An innovative approach to developing logic models will be demonstrated that can be used by program staff and evaluators in developing useful logic models in a wide variety of health and human service programs. Logic models is can be useful to evaluators in helping to focus evaluation questions, identify programmatic theory, and increase organizational learning. This presentation will show participants how the use of logic models in evaluation can facilitate learning in organizations and increase evaluator's competency in developing and using a logic models using an example from an evaluation of an ethnically diverse community-based program.
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From Research to Practice: Measuring the Impact of Health Information Programs
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| Presenter(s):
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| Tara Sullivan,
Johns Hopkins University,
tsulliva@jhsph.edu
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| Saori Ohkubo,
Johns Hopkins University,
sohkubo@jhsph.edu
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| Abstract:
Health information programs aim to reach target audiences with relevant, evidence-based information that will inform policy and improve program quality and professional practice. Yet measuring the impact of these types of programs continues to be a challenge, in part, because they have not been guided by a comprehensive logic model that links health information products and services to the achievement of health outcomes. To assess the effectiveness of programs, evaluators need to be able to identify, define and measure key program components. To that end, we present an original logic model that shows how health information inputs, processes and outputs logically link to one another to attain outcomes at multiple levels. Using a common framework, evaluators can systematically measure discrete program components, test and establish causal links between them, and help advance an understanding of how to produce effective information programs that facilitate the uptake of evidence into practice.
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Evaluating at the Cross-project or Initiative Level: The Case of Communities First in California
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| Presenter(s):
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| Ross Conner,
University of California, Irvine,
rfconner@uci.edu
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| Kathy Hebbeler,
SRI International,
kathleen.hebbeler@sri.com
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| Diane Manuel,
The California Endowment,
dmanuel@calendow.org
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| Abstract:
Since 1998, The California Endowment's CommunitiesFirst program has awarded over 1,000 grants and hundreds of millions of dollars to diverse California communities to define 'health' broadly, to select issues and to work on them in ways relevant to each community. We have conducted a cross-project evaluation (which we term a 'strategic review and assessment') of this multi-project initiative and will discuss highlights from it in three areas: methodology, results and use, highlighting a salient aspect of each. For methodology, we will describe a logic-model development technique that, in keeping with the conference's theme, results in instant learning by the participants. For the results topic, we will share the two most notable findings we identified for successful community-based health promotion. For the use topic, we will highlight the important of attending to the intended users' context and changes in that context.
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