title: Predictors of complementary and alternative medicine use in chronic pain patients.
abstract: OBJECTIVE
  We used Andersen's behavioral model of healthcare utilization to assess the relationship between sociodemographic, physical and psychosocial factors, and Complementary and Alternative Medicine (CAM) use among chronic pain patients. Three practitioner-based alternative therapies were considered: acupuncture, biofeedback/relaxation training, and manipulation services.
  
  
  METHODS
  A retrospective analysis of self-reported clinical data with 5,750 black and white adults presenting for initial assessment between 1994 and 2000 at the University of Michigan Multidisciplinary Pain Center was performed.
  
  
  RESULTS
  CAM therapies were used in high frequencies, with 34.7% users. Specifically 8.3% used acupuncture, 13.0% used biofeedback/relaxation, and 24.9% used manipulation techniques. Race and age were predisposing factors associated with CAM use. Blacks used less biofeedback/relaxation and manipulation services than whites. Aging was related to more acupuncture, but less biofeedback/relaxation use. Women marginally used more biofeedback/relaxation services than men, and education was positively associated with all three CAM use. Perceived pain control was a consistent enabling factor positively correlated with the use of all three CAM services. Among need factors, pain characteristics and physical health were positively associated with at least one of the modalities. Depressive symptoms were not related to CAM services use.
  
  
  CONCLUSIONS
  This study identifies variable patterns of CAM usage based on sociodemographic and health factors in chronic pain patients. Overall, who uses CAM depends on the modality; however, education, pain severity, and pain duration are persistent correlates of CAM usage regardless of the therapy considered. We found that mental health, as measured by depressive symptoms, had no noticeable impact on CAM usage among chronic pain patients. The clinical, policy, and research implications of CAM use are discussed.
authors.affiliation: Department of Health Management and Policy, University of Michigan School of Public Health, Ann Arbor, Michigan, USA.
authors.forename: S Khady
authors.initials: SK
authors.lastname: Ndao-Brumblay
authors.forename: Carmen R
authors.initials: CR
authors.lastname: Green
mesh_terms: D000293:Adolescent; D000328:Adult; D000367:Age Factors; D000368:Aged; D000369:Aged, 80 and over; D002908:Chronic Disease; D015897:Comorbidity; D000529:Complementary Therapies / Q000706:statistics & numerical data*; D003863:Depression / Q000523:psychology; D004185:Disability Evaluation; D005006:Ethnicity; D005260:Female; D005544:Forecasting; D006801:Humans; D008297:Male; D008603:Mental Health; D008875:Middle Aged; D010146:Pain / Q000453:epidemiology*; D059408:Pain Management; D010147:Pain Measurement; D010342:Patient Acceptance of Health Care; D012737:Sex Factors; D012959:Socioeconomic Factors; D055815:Young Adult