title: MEDICODE: an instrument to describe and evaluate exchanges on medications that occur during medical encounters.
abstract: OBJECTIVE
  To examine the psychometric properties of MEDICODE, a coding instrument developed to assess medication discussions during medical consultations.
  
  
  METHODS
  Inter-coder reliability, test-retest stability, and concurrent validity with the Roter Interaction Analysis System (RIAS) and predictive validity with the Medical Interview Satisfaction Scale (MISS) were calculated.
  
  
  RESULTS
  Inter-coder reliability and test-retest stability for medication class and status were both very good. Inter-coder agreement and test-retest stability for theme identification were mostly over 90%. Kappa values for theme identification varied from acceptable to excellent for 21 of the 29 and for 26 of the 37 Kappa coefficients that could be calculated. The mean percent agreement between MEDICODE and RIAS for medication class was of 96.8% and the mean Kappa value was 0.83. Although the mean percent agreement for the presence of a theme in MEDICODE and RIAS was 81%, the average Kappa coefficients were lower at 0.40. However, each of the four broad theme categories had its share of themes with robust Kappa values. We found significant positive correlations (p<0.05) between discussions of medication main effects and instructions with patient satisfaction.
  
  
  CONCLUSIONS
  With a reasonable amount of training, the coders were able to produce reliable and valid measures of discussions of medications during medical consultations.
  
  
  CONCLUSIONS
  MEDICODE will facilitate the study of the impact of the nature and intensity of discussions about medications during consultations on patient medication knowledge, medication recall and compliance.
authors.affiliation: GEIRSO, Groupe d'étude sur l'interdisciplinarité et les représentations sociales, Université du Québec à Montréal, Montréal, Canada. ell4400@videotron.ca
authors.forename: Claude
authors.initials: C
authors.lastname: Richard
authors.forename: Marie-Thérèse
authors.initials: MT
authors.lastname: Lussier
mesh_terms: D000043:Abstracting and Indexing / Q000379:methods* / Q000592:standards; D000328:Adult; D003142:Communication; D003625:Data Collection / Q000379:methods* / Q000592:standards; D016527:Drug Costs; D004358:Drug Therapy / Q000145:classification / Q000523:psychology*; D064420:Drug-Related Side Effects and Adverse Reactions; D005260:Female; D006302:Health Services Research; D006801:Humans; D007407:Interviews as Topic; D008297:Male; D008875:Middle Aged; D015588:Observer Variation; D010349:Patient Compliance / Q000523:psychology; D010353:Patient Education as Topic; D010358:Patient Participation / Q000523:psychology; D017060:Patient Satisfaction; D018579:Patient Selection; D010817:Physician-Patient Relations; D011237:Predictive Value of Tests; D011594:Psychometrics; D011792:Quebec; D016896:Treatment Outcome