Identification of subgroups of persons with chronic pain based on profiles on the pain stages of change questionnaire.

This study sought to identify reliable subgroups of patients with chronic pain based on profiles of subscale scores on the Pain Stages of Change Questionnaire (PSOCQ), a reliable and valid measure of individuals' readiness to adopt a self-management approach to chronic pain. The PSOCQ was administered to 633 people seeking treatment for chronic pain. Participants were predominantly White, averaged 48 years of age, about half were men, and about half reported back pain as the primary complaint. In a first study, cluster analysis was applied to 250 respondents. Five clusters were identified and named Precontemplation (11.0% of the sample), Contemplation (18.0%), Noncontemplative Action (12.4%), Participation (25%), and Ambivalent (33.6%). Results of a discriminant function analysis (DFA) on this sample, using the solution from the cluster analysis yielded a total error rate of 0.036. In a second study, the results of the first DFA were applied to an independent sample of 383 respondents in order to cross validate the solution from the first study. Cluster assignment proportions were very similar to the first sample and the posterior probability error rate for the second DFA was 13%. As predicted, clusters did not differ on measures of pain, disability, or demographics. Moreover, clusters differed significantly in theoretically consistent directions by scores on the Survey of Pain Attitudes, thus demonstrating criterion related validity for the clusters. Future research should examine the utility of PSOCQ profiles, relative to individual PSOCQ scale scores alone, in predicting response to self-management treatment approaches.

Pain-relevant responses from significant others: development of a significant-other version of the WHYMPI scales.

This paper reports on the development of a measure of significant-others' reports of the frequency of their solicitous, distracting and negative responses to chronic pain patients demonstrations of pain. This significant-other version is based on analogous scales that comprise part of the West Haven-Yale Multidimensional Pain Inventory (WHYMPI). The 3 pain-relevant response scales were demonstrated to have adequate indices of internal consistency and criterion-related validity. The potential clinical and research utility of the measure is discussed.

Predicting responses to self-management treatments for chronic pain: application of the pain stages of change model.

Psychological treatments emphasizing a self-management approach have become commonly accepted alternatives to medical interventions for chronic pain. Unfortunately, these approaches often fail to engage a significant portion of targeted individuals and are associated with high drop-out and relapse rates. Informed by the transtheoretical model of behavior change and the cognitive behavioral perspective on chronic pain, the Pain Stages of Change Questionnaire (PSOCQ) was developed to assess readiness to adopt a self-management approach to chronic pain. Initial studies supported the reliability and validity of four distinct scales, Precontemplation, Contemplation, Action and Maintenance. The current study was designed to assess the ability of the PSOCQ to predict self-management participation and outcome. The PSOCQ and several relevant outcome measures were assessed before and after self-management treatment by 109 chronic pain patients. Profile analysis revealed that treatment completers and non-completers differed significantly across the four PSOCQ scales. Post-hoc comparisons indicated that pretreatment PSOCQ Precontemplation and Contemplation scores discriminated these two groups. Separate analyses revealed that Action and Maintenance scores increased over the course of treatment, and that changes in the PSOCQ scales were associated with improved outcomes. These findings suggest that increased commitment to a self-management approach to chronic pain may serve as a mediator or moderator of successful treatment. This study supports the predictive validity and utility of the PSOCQ, as well as the relevance of the stages of change model to self-management of chronic pain.

Understanding the adoption of arthritis self-management: stages of change profiles among arthritis patients.

Clinical observations and recent studies suggest that arthritis patients vary considerably in their involvement in self-management efforts. In the literature on health promotion, there is growing recognition that patients may be at different stages of change with respect to the adoption of self-management strategies. The major goal of the present study was to examine whether cluster analysis could be used to identify homogeneous subgroups of patients having persistent arthritis pain based on their responses to a stages of change questionnaire. Participants in this study (103 patients having rheumatoid arthritis and 74 patients having osteoarthritis) completed a stages-of-change measure specific to adoption of a self-management approach to their arthritis. A cluster analysis identified five distinct subgroups of arthritis patients: (1) precontemplation - 44% of the sample; (2) contemplation - 11% of the sample; (3) preparation - 22% of the sample; (4) unprepared action - 6% of the sample; and (5) prepared maintenance - 17% of the sample. These subgroups are generally consistent with what might be expected based on the transtheoretical model of stages of change by Prochaska and DiClemente (Prochaska JO, DiClemente CC. Towards a comprehensive, transtheoretical model of change: states of change and addictive behaviors. In: Miller WR, Heather N, editors. Applied clinical psychology, 2nd ed. Treating addictive behaviors, New York: Plenum Press, 1998. pp. 3-24.), and may have important clinical implications. For example, it is possible that the arthritis subgroups identified may predict arthritis patients' participation in and responsiveness to pain-coping skills training, exercise interventions, or other formal self-management training programs. Also, one may be able enhance the outcomes of self-management interventions for arthritis by tailoring treatment to the patient's particular stage.

Presurgical depression predicts medical morbidity 6 months after coronary artery bypass graft surgery.

OBJECTIVE: Depression has been related to poor medical prognosis in patients with coronary artery disease and to diminished quality of life after coronary artery bypass graft surgery (CABG). However, prior studies have not fully examined the impact of depression on medical outcomes after CABG. The purpose of this study was to determine the independent contribution of presurgical depression to short-term medical outcome after CABG. METHODS: Medical, surgical, and psychosocial risk factors were assessed before surgery in 89 male veterans undergoing CABG. In addition, patients completed the Beck Depression Inventory. Medical, surgical, and psychological/quality-of-life outcomes were determined at 6 months of follow-up by telephone interview and review of medical records. RESULTS: Of the 89 patients studied, 25 scored 10 or greater on the Beck Depression Inventory. The study population was dichotomized on the basis of this cutoff point. A medical prediction model was developed for each outcome of interest, based on the range of medical, surgical, and psychosocial risk indices assessed. The dichotomized depression index was added to these prediction models as a final step. This depression index was found to independently predict cardiac hospitalizations at 6 months (chi(2) = 4.24, p <.04), continued surgical pain at 6 months (chi(2) = 6.36, p <.01), and failure to return to previous activity at 6 months (chi(2) = 15.04, p <.0001). Presurgical depression also predicted depressed affect at 6 months (chi(2) = 13.16, p <.0003). CONCLUSIONS: Depression is an important independent contributor to medical and psychosocial morbidity up to 6 months after CABG. These findings warrant replication with larger and more diverse populations.

Veterans' reports of pain and associations with ratings of health, health-risk behaviors, affective distress, and use of the healthcare system.

The improved management of pain among veterans seeking care in Veterans Health Administration (VHA) facilities has been established as a priority. This study documents the high prevalence of reports of pain among a convenience sample of 685 veterans seeking care in a VHA primary care setting. Also reported are associations of pain complaints with self-rated health, an index of emotional distress, health-risk behaviors such as tobacco and alcohol use, health-related concerns about diet and weight, and perceptions of the availability of social support. The relationship between the presence of pain and use of outpatient and inpatient medical and mental health services is also examined. Nearly 50% of the sample reported that they experience pain regularly and that they were concerned about this problem at the time of the index visit to their primary care provider. Persons acknowledging the presence of pain, relative to those not reporting pain, were younger, reported worsening health over the past year, had greater emotional distress, used tobacco, had diet and/or weight concerns, and were found to use more outpatient medical, but not inpatient medical or mental health services. Results support the goals of the VHA National Pain Management Strategy designed to reduce unnecessary pain and suffering among veterans receiving care in VHA facilities.

Self-appraised problem solving and pain-relevant social support as predictors of the experience of chronic pain.

The purpose of this study was to examine the contributions of self-appraised problem-solving competence and pain-relevant social support to the prediction of pain, depression, and disability. The 234 chronic pain patients referred for participation in a comprehensive pain management program were administered self-report measures of pain, depression, disability, pain-relevant social support, and problem solving. Hierarchical multiple-regression analyses revealed that lower self-appraised problem-solving competence was related to increased pain, depression, and disability. Pain-relevant social support was directly related to pain and disability but indirectly related to depression. High levels of pain-relevant social support were found to buffer the relation between poorer self-appraised problem-solving competence and depressive symptoms. The results support the assessment of problem-solving skills in chronic pain patients and the investigation and utility of interventions aimed at increasing adaptive pain-relevant social support.