Juckett leads the research effort to understand, quantify and model various chronic pain conditions and their optimal treatment strategies.

A partnership between the Clinical and Translational Sciences Institute (CTSI) of Michigan State University, ProCare Systems of Grand Rapids, and the Michigan Pain Consultants (MPC) of West Michigan has resulted in a federal grant to study the treatment of pain in community practice and a subsequent publication entitled, “Patient-reported outcomes in a large community-based pain medicine practice: evaluation for use in phenotype modeling”*.  This research is an example of Michigan State University’s engagement of community partners to enhance the understanding of societal needs and to deploy discoveries that benefit community members.

Dr. David Juckett of CTSI is the principal investigator of an AHRQ NIH grant, Phenotype Modeling and Outcome Mapping for Pain Management Decision Support (R21-HS022335), to study the patient-reported outcomes and physician progress notes collected on several hundred thousand patient encounters at MPC’s multiple community sites. The goal is to map ‘person in pain’ phenotypes to effective treatments and to disseminate that knowledge with medical decision support tools.

David Juckett featured on MSUToday's Faculty conversations: 

By: Brendan Geraghty Contact(s): Sarina Gleason

     The goal is to enable evidence-based decisions from common patterns among patients and successful treatments.
     One of the goals of this research is to create a clinical decision support tool to help medical practitioners give the best possible advice for treating chronic pain, said Juckett.
     “This is what MSU wants to do,” Juckett said. “Get out into the community, learn from the community and give something back to the community.”  Read More at MSUToday
*Juckett DA, Davis FN, Gostine M, Reed P, Risko R. Patient-reported outcomes in a large community-based pain medicine practice: evaluation for use in phenotype modeling. BMC Medical Informatics and Decision Making. 2015;15:41. doi:10.1186/s12911-015-0164-4.