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Stakeholder participation in comparative effectiveness research: defining a framework for effective engagement

    Patricia A Deverka

    * Author for correspondence

    Center for Medical Technology Policy, 401 East Pratt Street, Suite 631, Baltimore, MD 21202-3117, USA.

    ,
    Danielle C Lavallee

    Center for Medical Technology Policy, 401 East Pratt Street, Suite 631, Baltimore, MD 21202-3117, USA.

    ,
    Priyanka J Desai

    Center for Medical Technology Policy, 401 East Pratt Street, Suite 631, Baltimore, MD 21202-3117, USA.

    ,
    Laura C Esmail

    Center for Medical Technology Policy, 401 East Pratt Street, Suite 631, Baltimore, MD 21202-3117, USA.

    ,
    Scott D Ramsey

    Fred Hutchinson Cancer Research Center, University of Washington, 1100 Fairview Avenue, North Seattle, WA 98109-4433, USA

    ,
    David L Veenstra

    University of Washington, School of Pharmacy, 1959 NE Pacific Street, H362 Health Sciences Building, Seattle, WA 98195-7631, USA

    &
    Sean R Tunis

    Center for Medical Technology Policy, 401 East Pratt Street, Suite 631, Baltimore, MD 21202-3117, USA.

    Published Online:https://doi.org/10.2217/cer.12.7

    Aims: Stakeholder engagement is fundamental to comparative effectiveness research (CER), but lacks consistent terminology. This paper aims to define stakeholder engagement and present a conceptual model for involving stakeholders in CER. Materials & methods: The definitions and model were developed from a literature search, expert input and experience with the Center for Comparative Effectiveness Research in Cancer Genomics, a proof-of-concept platform for stakeholder involvement in priority setting and CER study design. Results: Definitions for stakeholder and stakeholder engagement reflect the target constituencies and their role in CER. The ‘analytic-deliberative’ conceptual model for stakeholder engagement illustrates the inputs, methods and outputs relevant to CER. The model differentiates methods at each stage of the project; depicts the relationship between components; and identifies outcome measures for evaluation of the process. Conclusion: While the definitions and model require testing before being broadly adopted, they are an important foundational step and will be useful for investigators, funders and stakeholder groups interested in contributing to CER.

    Papers of special note have been highlighted as: ▪ of interest ▪▪ of considerable interest

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