TY - JOUR
T1 - A demonstration of a presurgical behavioral medicine evaluation for categorizing patients for implantable therapies
T2 - A preliminary study
AU - Schocket, Kimberly Gardner
AU - Gatchel, Robert J.
AU - Stowell, Anna Wright
AU - Deschner, Martin
AU - Robinson, Richard
AU - Lou, Leland
AU - Whitworth, Tony
AU - Bernstein, Dana
PY - 2008/11
Y1 - 2008/11
N2 - 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.
AB - 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.
KW - Adverse clinical features
KW - Implantable devices
KW - Presurgical screening algorithm
KW - Psychosocial risk factors
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U2 - 10.1111/j.1525-1403.2008.00171.x
DO - 10.1111/j.1525-1403.2008.00171.x
M3 - Article
C2 - 20657728
AN - SCOPUS:53749092069
SN - 1094-7159
VL - 11
SP - 237
EP - 248
JO - Neuromodulation
JF - Neuromodulation
IS - 4
ER -