Pilot validation of a self-report outcome measure of complementary and alternative medicine

Explore (NY). 2007 Nov-Dec;3(6):592-9. doi: 10.1016/j.explore.2007.08.004.

Abstract

Background: We previously developed a multidomain, self-report outcome measure relevant to a wide range of complementary and alternative medical (CAM) therapies. We report the results of a pilot study to validate the measure.

Methods: Fifty-two patients (60% female, mean age, 53 years) seeking services from CAM providers completed a battery of measures prior to a scheduled visit. The battery included the Positive and Negative Affect Schedule, items from the Brief Pain and Fatigue Inventories, ratings of global quality of life (QOL) and change in physical health, and our pilot measure consisting of six hypothesized subscales (pain, fatigue, physical/functional ability, personal control, existential issues, and general QOL). Internal reliability, item convergence and discrimination, construct, and concurrent validity were assessed.

Results: Pilot measure domains appeared to be internally reliable with five of six alpha coefficients exceeding 0.70. Multitrait scaling analyses demonstrated that most items converged on the domains that they were hypothesized to represent, although item discrimination was demonstrated for the pain domain only. Correlations with standardized assessments of pain, fatigue, and global QOL showed evidence of construct validity. All domain scores differentiated patients classified high versus low in global QOL (P < .01) and four (pain, fatigue, physical/functional ability, and general QOL) differentiated patients who perceived recent changes in their physical health (improvement vs decline; P < .05).

Conclusion: These results provide preliminary psychometric data for a pilot measure of CAM outcomes, though further testing is warranted.

Publication types

  • Validation Study

MeSH terms

  • Adult
  • Complementary Therapies / statistics & numerical data*
  • Female
  • Humans
  • Male
  • Middle Aged
  • Outcome Assessment, Health Care*
  • Patient Satisfaction / statistics & numerical data*
  • Pilot Projects
  • Psychometrics
  • Quality of Life*
  • Reproducibility of Results
  • Self Care / methods*
  • Sickness Impact Profile
  • Surveys and Questionnaires