A demonstration of a presurgical behavioral medicine evaluation for categorizing patients for implantable therapies: A preliminary study

Kimberly Gardner Schocket, Robert J. Gatchel, Anna Wright Stowell, Martin Deschner, Richard Robinson, Leland Lou, Tony Whitworth, Dana Bernstein

Research output: Contribution to journalArticle

11 Scopus citations


Objectives. The aim of the current study was to evaluate the potential efficacy of a presurgical behavioral medicine evaluation screening algorithm with patients undergoing evaluation for implantable pain management devices. Methods. Sixty patients were evaluated for prognostic recommendations regarding outcomes from surgery for spinal cord stimulators and intrathecal pumps. Diagnostic interviews, review of medical charts, and psychosocial and functional measures were used in the initial evaluation. Results. Patients were classified into one of four prognostic groups, from low to increasing risks: Green, Yellow I, Yellow II, and Red. The Green group showed the most positive biopsychosocial profile, while the Red groups showed the worst profiles. Conclusions. This preliminary study suggests that the presurgical behavioral medicine evaluation algorithm may be an effective method for categorizing patients into prognostic groups. Psychological and adverse clinical features appear to have the most power in the classification of such patients.

Original languageEnglish (US)
Pages (from-to)237-248
Number of pages12
Issue number4
Publication statusPublished - Nov 2008



  • Adverse clinical features
  • Implantable devices
  • Presurgical screening algorithm
  • Psychosocial risk factors

ASJC Scopus subject areas

  • Anesthesiology and Pain Medicine
  • Neurology
  • Clinical Neurology

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