Impact evaluation of programs that address global environmental change
Date
2010
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Publisher
RMIT University
Abstract
The process of “causal inference” is considered in terms of: timing of interventions; whether content of intervention matches outcome; and how to look for distinctive effect patterns. The presentation uses the example of the spread of cholera in London, and how this was inferred from mapping ‘data’ at the time and tracing possible processes that led to a repertoire of causal pathways. The theory can extend and be applied to other situations, such as how research influences health policy, identifying key factors in the general context and decision contexts that could help reveal pathways to evidence-based policy.
Description
PowerPoint presentation
Chinese version available in IDRC Digital Library
Chinese version available in IDRC Digital Library
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Presentation
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Keywords
HEALTH SYSTEMS, HEALTH POLICY, RESEARCH TO POLICY, CHOLERA, DATA COLLECTION, EVIDENCE-BASED POLICY, CHINA, FAR EAST ASIA