Prediction of early termination from the self-regulatory treatment of chronic headache

Abstract

The ability of demographic, psychological testing and history information to predict which patients will terminate early from nonpharmacological treatment of headache (relaxation and biofeedback) was tested. Information from each of these areas was initially examined for differences between dropouts and treatment completers using univariate analyses. These analyses were followed by a canonical discriminate function analysis that predicted whether patients would complete treatment or drop out. Information from the three predictor sets combined resulted in 77.4% of the patients being correctly classified.