Open AccessA Revised Taxonomy of Patients with Chronic Pain
Author(s) -
Sheffer Christine E.,
Deisinger Julie A.,
Cassisi Jeffrey E.,
Lofland Kenneth
Publication year - 2007
Publication title -
pain medicine
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.893
H-Index - 97
eISSN - 1526-4637
pISSN - 1526-2375
DOI - 10.1111/j.1526-4637.2006.00176.x
Subject(s) - linear discriminant analysis , discriminant function analysis , discriminant , taxonomy (biology) , cluster (spacecraft) , chronic pain , computer science , stability (learning theory) , artificial intelligence , function (biology) , psychology , medicine , physical therapy , machine learning , biology , evolutionary biology , botany , programming language
Objective. To examine the taxonomic categories derived from a reorganization of the popular and useful Multidimensional Pain Inventory (MPI)/Multiaxial Assessment of Pain (MAP) system. Design. Cluster‐analytic procedures were utilized to analyze data from 976 pain patients who presented for treatment at a pain clinic. Ward’s method was utilized followed by seeded and unseeded k‐means procedures and a discriminant function analysis. Results. Three clusters were interpreted as: Interpersonally Focused, Stoic, and Adaptively Focused. Discriminant analyses followed by internal and external classification analyses provide evidence for the stability and replicability of the new clusters. Fisher’s linear discriminant classification function coefficients were produced for clinical use. Conclusions. Meaningful differences exist between the new MPI clusters and those previously reported. The results provide a contribution toward improvements on the original and popular MPI/MAP system.