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Clin J Pain ; 16(4): 352-9, 2000 Dec.
Article in English | MEDLINE | ID: mdl-11153793

ABSTRACT

OBJECTIVE: There is a need to identify pretreatment patient indicators, which are predictive of the successful enrollment and completion of chronic pain treatment programs. Recent evidence suggests the Pain Stages of Change Questionnaire can predict enrollment and completion of a 10-session cognitive-behavioral pain management program. The purpose of this study is to determine whether the pretreatment Stages of Change Questionnaire can predict patients who would complete a cognitive-behavioral pain treatment program. DESIGN: Prospective cohort study using logistic regression analyses. SETTINGS: Patients referred for a 10-session cognitive-behavioral treatment program at a tertiary care multidisciplinary pain clinic or a community-based specialty clinic. SUBJECTS: Three hundred chronic pain patients (151 in the tertiary setting and 149 in the community-based setting) participated, with 147 of the patients (49%) completing and 153 (51%) patients not completing the 10-session program. INTERVENTION: Ten-visit cognitive-behavioral program for chronic pain patients. OUTCOME MEASURE: Completion of program. RESULTS: The Stages of Change Questionnaire scores could predict completion status chi2 (N = 300, 2 df) = 39.7, p <0.001, (goodness-of-fit test chi2 = 5.69, p = 0.68). Those patients completing the program were slightly older and reported higher levels of pain, depression, and disability than did those patients who did not complete. Low "Precontemplation" score remained the best single predictor, as it identified correctly 61% of the cases patients who completed the program and predicted who would drop out in 65% of the cases. CONCLUSION: The Stages of Change Questionnaire is a potentially useful tool; however, the current scoring method is insufficient to recommend its use as an inclusion or exclusion criterion for enrollment in a cognitive-behavioral program.


Subject(s)
Attitude to Health , Cognitive Behavioral Therapy/organization & administration , Pain Management , Pain/psychology , Sick Role , Adult , Chronic Disease , Disability Evaluation , Female , Humans , Logistic Models , Male , Middle Aged , Patient Dropouts , Predictive Value of Tests , Prospective Studies , Surveys and Questionnaires
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