title: Some but not all dyadic measures in shared decision making research have satisfactory psychometric properties.
abstract: OBJECTIVE
  To assess the psychometric properties of dyadic measures for shared decision making (SDM) research.
  
  
  METHODS
  We conducted an observational cross-sectional study in 17 primary care clinics with physician-patient dyads. We used seven subscales to measure six elements of SDM: (1) defining the problem, presenting options, and discussing pros and cons; (2) clarifying the patient's values and preferences; (3) discussing the patient's self-efficacy; (4) drawing on the doctor's knowledge; (5) verifying the patient's understanding; and (6) assessing the patient's uncertainty. We assessed the reliability and invariance of the factorial structure and considered a measure to be dyadic if the factorial structure of the patient version was similar to that of the physician version and if there was equality of loading (no significant chi-square).
  
  
  RESULTS
  We analyzed data for 264 physicians and 269 patients. All measures except one showed adequate reliability (Cronbach alpha, 0.70-0.93) and factorial validity (root mean square error of approximation, 0.000-0.06). However, we found only four measures to be dyadic (P>0.05): the values clarification subscale, perceived behavioral subscale, information-verifying subscale, and uncertainty subscale.
  
  
  CONCLUSIONS
  The subscales for values clarification, perceived behavioral control, information verifying, and uncertainty are appropriate dyadic measures for SDM research and can be used to derive dyadic indices.
authors.affiliation: Centre Hospitalier Universitaire de Québec Research Centre, Hôpital St-François d'Assise, 10, rue de l'Espinay, Quebec City, Quebec, Canada G1L 3L5. france.legare@mfa.ulaval.ca
authors.forename: France
authors.initials: F
authors.lastname: Légaré
authors.forename: Stéphane
authors.initials: S
authors.lastname: Turcotte
authors.forename: Hubert
authors.initials: H
authors.lastname: Robitaille
authors.forename: Moira
authors.initials: M
authors.lastname: Stewart
authors.forename: Dominick
authors.initials: D
authors.lastname: Frosch
authors.forename: Jeremy
authors.initials: J
authors.lastname: Grimshaw
authors.forename: Michel
authors.initials: M
authors.lastname: Labrecque
authors.forename: Mathieu
authors.initials: M
authors.lastname: Ouimet
authors.forename: Michel
authors.initials: M
authors.lastname: Rousseau
authors.forename: Dawn
authors.initials: D
authors.lastname: Stacey
authors.forename: Trudy
authors.initials: T
authors.lastname: van der Weijden
authors.forename: Glyn
authors.initials: G
authors.lastname: Elwyn
mesh_terms: D000328:Adult; D000368:Aged; D003430:Cross-Sectional Studies; D003657:Decision Making; D005163:Factor Analysis, Statistical; D005194:Family Practice; D005260:Female; D007722:Health Knowledge, Attitudes, Practice; D006801:Humans; D008297:Male; D008875:Middle Aged; D010358:Patient Participation; D017060:Patient Satisfaction; D010817:Physician-Patient Relations; D017064:Process Assessment, Health Care / Q000379:methods*; D011594:Psychometrics / Q000379:methods; D020377:Self Efficacy