Claude Richard1, Marie-Thérèse Lussier. 1. GEIRSO, Groupe d'étude sur l'interdisciplinarité et les représentations sociales, Université du Québec à Montréal, Montréal, Canada. ell4400@videotron.ca
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. CONCLUSION: With a reasonable amount of training, the coders were able to produce reliable and valid measures of discussions of medications during medical consultations. PRACTICAL IMPLICATIONS: 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.
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. CONCLUSION: With a reasonable amount of training, the coders were able to produce reliable and valid measures of discussions of medications during medical consultations. PRACTICAL IMPLICATIONS: 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: Catherine M Reich; Samantha M Hack; Elizabeth A Klingaman; Clayton H Brown; Li Juan Fang; Lisa B Dixon; Danielle R Jahn; Julie A Kreyenbuhl Journal: Int J Psychiatry Clin Pract Date: 2017-09-17 Impact factor: 1.812
Authors: Justin P Turner; Claude Richard; Marie-Thérèse Lussier; Marie-Eve Lavoie; Barbara Farrell; Denis Roberge; Cara Tannenbaum Journal: Ther Adv Drug Saf Date: 2018-10-20
Authors: Annemiek J Linn; Julia Cm van Weert; Barbara C Schouten; Edith G Smit; Ad A van Bodegraven; Liset van Dijk Journal: Patient Prefer Adherence Date: 2012-12-11 Impact factor: 2.711