A framework for understanding cancer comparative effectiveness research data needs

W Carpenter, Anne-Marie Meyer, Amy Abernethy, T Stürmer, Michael Kosorok

    Research output: Contribution to journalArticlepeer-review

    22 Citations (Scopus)

    Abstract

    Objectives: Randomized controlled trials remain the gold standard for evaluating cancer intervention efficacy. Randomized trials are not always feasible, practical, or timely and often don't adequately reflect patient heterogeneity and real-world clinical practice. Comparative effectiveness research can leverage secondary data to help fill knowledge gaps randomized trials leave unaddressed; however, comparative effectiveness research also faces shortcomings. The goal of this project was to develop a new model and inform an evolving framework articulating cancer comparative effectiveness research data needs. Study Design and Setting: We examined prevalent models and conducted semi-structured discussions with 76 clinicians and comparative effectiveness research researchers affiliated with the Agency for Healthcare Research and Quality's cancer comparative effectiveness research programs. Results: A new model was iteratively developed and presents cancer comparative effectiveness research and important measures in a patient-centered, longitudinal chronic care model better reflecting contemporary cancer care in the context of the cancer care continuum, rather than a single-episode, acute-care perspective. Conclusion: Immediately relevant for federally funded comparative effectiveness research programs, the model informs an evolving framework articulating cancer comparative effectiveness research data needs, including evolutionary enhancements to registries and epidemiologic research data systems. We discuss elements of contemporary clinical practice, methodology improvements, and related needs affecting comparative effectiveness research's ability to yield findings clinicians, policy makers, and stakeholders can confidently act on.

    Original languageEnglish
    Pages (from-to)1150-1158
    Number of pages9
    JournalJournal of Clinical Epidemiology
    Volume65
    Issue number11
    DOIs
    Publication statusPublished - Nov 2012

    Keywords

    • Cancer
    • Comparative effectiveness research
    • Data models
    • Non-experimental data
    • Outcomes
    • Registries
    • Research methods
    • Secondary data

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