Pain Management Nursing
Volume 7, Issue 3 , Pages 109-116, September 2006

Predictors of Self-Rated Health in Patients with Chronic Nonmalignant Pain

  • Sandra L. Siedlecki, PhD, RN, CNS

      Affiliations

    • Corresponding Author InformationAddress correspondence and reprint requests to Sandra L. Siedlecki, PhD, RN, CNS, Adjunct Assistant Professor of Nursing Case Western Reserve University, Senior Nurse Researcher, Cleveland Clinic, 9500 Euclid Avenue, P32, Cleveland, OH 44195.

Department of Nursing Research and Innovation, Cleveland Clinic, Cleveland, Ohio.

Abstract 

Self-rated health (SRH) is an important outcome measure that has been found to accurately predict mortality, morbidity, function, and psychologic well-being. Chronic nonmalignant pain presents with a pattern that includes low levels of power and high levels of pain, depression, and disability. Differences in SRH may be related to variations within this pattern. The purpose of this analysis was to identify determinants of SRH and test their ability to predict SRH in patients with chronic nonmalignant pain. SRH was measured by response to a single three-option age-comparative question. The Power as Knowing Participation in Change Tool, McGill Pain Questionnaire Short Form, Center for Epidemiological Studies Depression Scale, and Pain Disability Index were used to measure independent variables. Multivariate analysis of variance revealed significant differences (p = .001) between SRH categories on the combined dependent variable. Analysis of variance conducted as a follow-up identified significant differences for power (p < .001) and depression (p = .003), but not for pain or pain-related disability; and discriminant analysis found that power and depression correctly classified patients with 75% accuracy. Findings suggest pain interventions designed to improve mood and provide opportunities for knowing participation may have a greater impact on overall health than those that target only pain and disability.

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 Financial support was received from the Frances Payne Bolton School of Nursing Alumni Research Grant; Sigma Theta Tau, Delta Omega Research Grant, and National Research Service Award National Institutes of Health fellowship Grant for Dissertation Research (NIH 1F 31 NRO 7565).

PII: S1524-9042(06)00087-7

doi:10.1016/j.pmn.2006.06.004

Pain Management Nursing
Volume 7, Issue 3 , Pages 109-116, September 2006