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Using Multifactorial Experiments For Comparative Effectiveness Research in Physician Practices with Electronic Health Records

Authors:

Jelena Zurovac ,

Mathematica Policy Research
About Jelena
Ph.D, M.S.
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Lorenzo Moreno,

Mathematica Policy Research
About Lorenzo
Ph.D., M.Sc.
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Jesse Crosson,

Mathematica Policy Research
About Jesse
Ph.D.
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Randall Brown,

Mathematica Policy Research
About Randall
Ph.D.
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Robert Schmitz

Mathematica Policy Research
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Ph.D.
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Abstract

Two key challenges related to conducting comparative effectiveness research are the lack of available data and the lack of rigorous techniques for efficiently and quickly testing the effectiveness of the many possible ways of implementing components of care. The confluence of two things offers the promise of overcoming these challenges: (1) the increased adoption of electronic health records (EHRs), which can provide easier access to clinical information, and (2) burgeoning appreciation for an under-used but powerful statistical research and evaluation method for multifactor interventions known as multifactor experimental design.

The use of multifactorial experiments paired with EHR data has great potential to help providers conduct rapid-cycle comparative effectiveness research and examine alternative ways of implementing care. Its power is its ability to enable scientifically rigorous testing of many facets of care provision simultaneously in real-world settings where change is ongoing.

In this paper, we identify the opportunities for using efficient multifactorial designs and EHR data to evaluate quality-improvement efforts in physician practices. We illustrate the power of multifactorial designs through several examples relevant to physician practices with EHRs, such as evaluating clinical decision support features and studying components of a patient-centered medical home.

How to Cite: Zurovac J, Moreno L, Crosson J, Brown R, Schmitz R. Using Multifactorial Experiments For Comparative Effectiveness Research in Physician Practices with Electronic Health Records. eGEMs (Generating Evidence & Methods to improve patient outcomes). 2013;1(3):5. DOI: http://doi.org/10.13063/2327-9214.1037
Published on 30 Dec 2013.
Peer Reviewed

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