OBJECTIVE: Decision boards (DBs) help clinicians present options and include patients in the decision-making process. Our objective was to describe the steps to develop a DB to support shared decision making and assess reliability and construct validity. METHODS: Systemic lupus erythematosus (SLE) scenarios were designed with the support of experts for disease severity, potential side effects, and outcomes. The DB comprised clinical information, 2 different treatment options (oral and intravenous), a description of the potential to control SLE within 5 years, and a list of potential side effects. Patients selected what they thought would be the 3 worst side effects and were informed of the probability that these would occur. We presented the DB to 172 patients who were asked to select and justify 1 treatment option. Reliability was assessed by kappa statistics. Construct validity was tested by an a priori hypothesis, analyzing the correlation between treatment decision and side effects selected, self-assessment score, educational level, and clinical aspects. RESULTS: Patients favored oral medication, and side effects most often listed were iatrogenic cancer (44.2%), hair loss (21.6%), and severe infection (19.1%). Justifications were risk (48.9%), practicality (36.6%), effectiveness (12.2%), and risk-benefit tradeoff (2.3%). Reliability was similar to that found in the test phase (kappa = 0.689, P < 0.001). Validity was tested by prediction of treatment decision based on the undesirable side effects selected (P = 0.047). DB content was clear and easy for all patients to understand (P = 0.05). Immunosuppressive drugs influenced patient decisions (P = 0.006). CONCLUSION: DB is a reliable and valid instrument to assess SLE patient preference.
OBJECTIVE: Decision boards (DBs) help clinicians present options and include patients in the decision-making process. Our objective was to describe the steps to develop a DB to support shared decision making and assess reliability and construct validity. METHODS: Systemic lupus erythematosus (SLE) scenarios were designed with the support of experts for disease severity, potential side effects, and outcomes. The DB comprised clinical information, 2 different treatment options (oral and intravenous), a description of the potential to control SLE within 5 years, and a list of potential side effects. Patients selected what they thought would be the 3 worst side effects and were informed of the probability that these would occur. We presented the DB to 172 patients who were asked to select and justify 1 treatment option. Reliability was assessed by kappa statistics. Construct validity was tested by an a priori hypothesis, analyzing the correlation between treatment decision and side effects selected, self-assessment score, educational level, and clinical aspects. RESULTS:Patients favored oral medication, and side effects most often listed were iatrogenic cancer (44.2%), hair loss (21.6%), and severe infection (19.1%). Justifications were risk (48.9%), practicality (36.6%), effectiveness (12.2%), and risk-benefit tradeoff (2.3%). Reliability was similar to that found in the test phase (kappa = 0.689, P < 0.001). Validity was tested by prediction of treatment decision based on the undesirable side effects selected (P = 0.047). DB content was clear and easy for all patients to understand (P = 0.05). Immunosuppressive drugs influenced patient decisions (P = 0.006). CONCLUSION:DB is a reliable and valid instrument to assess SLEpatient preference.
Authors: Edith M Williams; Kate Lorig; Saundra Glover; Diane Kamen; Sudie Back; Anwar Merchant; Jiajia Zhang; James C Oates Journal: BMC Health Serv Res Date: 2016-08-02 Impact factor: 2.655
Authors: Jasvinder A Singh; Liana Fraenkel; Candace Green; Graciela S Alarcón; Jennifer L Barton; Kenneth G Saag; Leslie M Hanrahan; Sandra C Raymond; Robert P Kimberly; Amye L Leong; Elyse Reyes; Richard L Street; Maria E Suarez-Almazor; Guy S Eakin; Laura Marrow; Charity J Morgan; Brennda Caro; Jeffrey A Sloan; Bochra Jandali; Salvador R Garcia; Jennifer Grossman; Kevin L Winthrop; Laura Trupin; Maria Dall'Era; Alexa Meara; Tara Rizvi; W Winn Chatham; Jinoos Yazdany Journal: PLoS Med Date: 2019-05-08 Impact factor: 11.069