biostudies-literatureUnknown14(1)Brown RF<h4>Background</h4>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.<h4>Objective</h4>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.<h4>Setting and participants</h4>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.<h4>Measurement</h4>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.<h4>Results</h4>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.<h4>Conclusions</h4>We have developed a reliable and valid coding system for identifying and rating the quality of SDM in breast cancer consultations.Health expectations : an international journal of public participation in health care and health policy29-37https://www.ebi.ac.uk/biostudies/studies/S-EPMC5060562biostudies-literatureSharing decisions in breast cancer care: Development of the Decision Analysis System for Oncology (DAS-O) to identify shared decision making during treatment consultations.PMC5060562Tattersall MHBernhard JBrown RFRibi KGerber DButow PNJuraskova IfalseSharing decisions in breast cancer care: Development of the Decision Analysis System for Oncology (DAS-O) to identify shared decision making during treatment consultations.<h4>Background</h4>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.<h4>Objective</h4>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.<h4>Setting and participants</h4>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.<h4>Measurement</h4>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.<h4>Results</h4>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.<h4>Conclusions</h4>We have developed a reliable and valid coding system for identifying and rating the quality of SDM in breast cancer consultations.2011-01-01T00:00:00Z2011 Mar2021-02-21T12:06:01Z2019-03-27T02:26:28ZS-EPMC50605622062976610.1111/j.1369-7625.2010.00613.x