Evidence synthesis, also called “systematic reviews”, involves combining information from multiple studies investigating the same topic to comprehensively understand their findings. This helps determine how effective a particular treatment or drug is, or how people have experienced a particular health condition or treatment. By using evidence synthesis effectively, policymakers, healthcare institutions, clinicians, researchers, and the public can make more informed decisions about health and healthcare.
Center for Evidence Synthesis in Health
Consulting
Consultations
We are available to consult with individuals and organizations regarding these and other related quantitative methods.
A systematic review is a scholarly synthesis of the evidence on a clearly presented topic using critical methods to identify, define and assess research on the topic. A systematic review extracts and interprets data from published studies on the topic (in the scientific literature), then analyzes, describes, critically appraises and summarizes interpretations into a refined evidence-based conclusion.
Meta-analysis is the statistical combination of the results of multiple studies addressing a similar research question. An important part of this method involves computing a combined effect size across all of the studies. This statistical approach involves extracting effect sizes and variance measures from various studies.
Decision modeling is the process of creating a structured representation of how the decisions are made within an organization. By using this technique, it’s possible to break down complex decision-making processes into understandable and manageable components.
Contact
Please contact Linda McCormick for more information.
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Linda McCormick