title: A DEMONSTRATION OF A PRESURGICAL BEHAVIORAL MEDICINE EVALUATION FOR CATEGORIZING PATIENTS FOR IMPLANTABLE THERAPIES: A PRELIMINARY STUDY.
abstract: OBJECTIVES: The aim of the current study was to evaluate the potential efficacy of a presurgical behavioral medicine evaluation (PBME) 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 PBME 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.
authors.affiliation: The Eugene McDermott Center for Pain Management, University of Texas Southwestern Medical School at Dallas, TX.
authors.forename: Kimberly Gardner
authors.initials: KG
authors.lastname: Schocket
authors.forename: Robert J
authors.initials: RJ
authors.lastname: Gatchel
authors.forename: Anna Wright
authors.initials: AW
authors.lastname: Stowell
authors.forename: Martin
authors.initials: M
authors.lastname: Deschner
authors.forename: Richard
authors.initials: R
authors.lastname: Robinson
authors.forename: Leland
authors.initials: L
authors.lastname: Lou
authors.forename: Tony
authors.initials: T
authors.lastname: Whitworth
authors.forename: Dana
authors.initials: D
authors.lastname: Bernstein