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Randomized Controlled Trial
Using Illness Perceptions to Cluster Chronic Pain Patients: Results From a Trial on the Chronic Pain Self-Management Program.
- Lisbeth Frostholm, Christina Hornemann, Eva Ørnbøl, Per Fink, and Mimi Mehlsen.
- The Research Clinic for Functional Disorders and Psychosomatics.
- Clin J Pain. 2018 Nov 1; 34 (11): 991-999.
ObjectivesThe aims of our study were (1) to identify possible subgroups of individuals with chronic pain based on their illness perceptions (IPs); (2) to examine whether these subgroups differed in health status and health expenditure; and (3) to examine whether the subgroups differed in their response to participation in a lay-led Chronic Pain Self-Management Program (CPSMP).Materials And MethodsFour hundred twenty-four participants in a randomized controlled trial on the CPSMP completed a questionnaire on their perceptions of their chronic pain condition at baseline. In addition, they completed a range of health status measures at baseline and 3 months after end of participation in the CPSMP. Health care expenditure was obtained from Danish health registers. We performed cluster analyses to identify possible subgroups based on the participants' perceptions of their chronic pain condition.ResultsCluster analysis of IPs resulted in 3 meaningful clusters, classified as "distressed, certain cause," "distressed, uncertain cause," and "nondistressed, certain cause," respectively. The 2 distressed groups had significantly higher scores on pain catastrophizing, illness worry, and emotional distress than did the nondistressed. Moderator analyses showed, that the "distressed, certain cause" had significant positive effect of participating in the CPSMP on pain catastrophizing and emotional distress, whereas the "distressed, uncertain cause" had a decrease and the "nondistressed, certain cause" an increase in primary health expenditure.DiscussionClusters based on IPs meaningfully distinguished individuals with chronic pain on health measures and outcome of participating in the CPSMP, and may prove useful in future studies to understand responses to treatment.
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