Using quantitative sensory testing to predict attrition in an interdisciplinary pain management program: a pilot study.

ABSTRACT

Aim: To determine the extent to which quantitative sensory testing (QST) predicted attrition in an interdisciplinary pain program (IPP). Patients & methods: Participants (n = 53) enrolled in an IPP completed pretreatment assessments of QST and the PROMIS-29 quality of life survey. Results & conclusion: Compared with completers, non-completers (24.5%) reported significantly higher pain intensity (7.1, 95% CI [5.8, 8.4] versus 5.4, 95% CI [4.8, 6.1]) and cold hyperalgesia (14.6°C, 95% CI [8.8, 20.4] versus 7.5°C, 95% CI [4.8, 6.1]), with both variables also predicting attrition. This finding highlights a potentially novel and clinically significant use of QST. Higher overall pain intensity and the presence of remote cold hyperalgesia may identify patients at risk for dropping out of an IPP.

The purpose of this research study was to determine the extent to which quantitative sensory testing (QST) predicted which patients enrolled in an interdisciplinary pain program (IPP) would drop out. Fifty-three patients with chronic pain enrolled in an IPP were assessed before treatment with mechanical and thermal QST at a painful and a non-painful site, as well as with the PROMIS-29 quality of life survey. Pretreatment findings were compared between non-completers (i.e., attended five or fewer sessions for any component of the IPP) and completers. Resulting significant predictors were included in a logistic regression to predict attrition. Compared with those who completed the program, non-completers (24.5%) reported significantly higher pain intensity and oversensitivity to cold at a non-painful site pretreatment, with both variables also predicting completion of the IPP. In summary, these preliminary findings suggest that higher overall pain intensity and the presence of cold oversensitivity (at baseline) may identify patients at risk for dropping out of an IPP.