Open AccessSharing decisions in breast cancer care: Development of the Decision Analysis System for Oncology (DAS‐O) to identify shared decision making during treatment consultations
Author(s) -
Brown Richard F.,
Butow Phyllis N.,
Juraskova Ilona,
Ribi Karin,
Gerber Daniela,
Bernhard Jurg,
Tattersall Martin H.N.
Publication year - 2011
Publication title -
health expectations
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.314
H-Index - 74
eISSN - 1369-7625
pISSN - 1369-6513
DOI - 10.1111/j.1369-7625.2010.00613.x
Subject(s) - breast cancer , coding (social sciences) , correlation , kappa , medicine , reliability (semiconductor) , inter rater reliability , oncology , cohen's kappa , concurrent validity , medical physics , family medicine , rating scale , cancer , computer science , statistics , clinical psychology , psychometrics , machine learning , mathematics , power (physics) , physics , geometry , quantum mechanics , internal consistency
Background Shared Decision Making (SDM) is widely accepted as the preferred method for reaching treatment decisions in the oncology setting including those about clinical trial participation: however, there is some disagreement between researchers over the components of SDM. Specific standardized coding systems are needed to help overcome this difficulty. Objective The first objective was to describe the development of an oncology specific SDM coding system, the DAS‐O. The second objective was to provide reliability and validity data supporting the DAS‐O. Setting and participants Consultation data were available from tertiary cancer center out patient oncology clinics in: Australia, New Zealand (ANZ), Switzerland, Germany and Austria (SGA). Patients were women with a confirmed diagnosis of early stage breast cancer. Reliability data were from 18 randomly selected coded transcripts drawn from ANZ and SGA. Concurrent validity data are from 55 (ANZ) consultations. Measurement Inter and Intra rater reliability data was evaluated using Kappa correlation statistics and correlation coefficients. Correlation coefficients were used to assess concurrent validity between the DAS‐O and two other SDM coding systems, OPTION and DSAT. Results Inter and Intra rater reliability for the system were high with average Kappas of 0.58 and 0.65 respectively. Correlation coefficients between DAS‐O and OPTION was 0.73 and >0.5 for DSAT. Conclusions We have developed a reliable and valid coding system for identifying and rating the quality of SDM in breast cancer consultations.