Jane R Schubart1, Fabian Camacho2, Michael J Green3, Kimberly A Rush4, Benjamin H Levi5. 1. Departments of Surgery, Public Health Sciences, and Medicine, The Pennsylvania State University, College of Medicine, Hershey, Pennsylvania, USA. 2. Department of Public Health Sciences, University of Virginia, School of Medicine, Charlottesville, Virginia, USA. 3. Departments of Humanities and Medicine, The Pennsylvania State University, College of Medicine, Hershey, Pennsylvania, USA. 4. Department of Pediatrics, The Pennsylvania State University, College of Medicine, Hershey, Pennsylvania, USA. 5. Departments of Humanities and Pediatrics, The Pennsylvania State University, College of Medicine, Hershey, Pennsylvania, USA.
Abstract
OBJECTIVE: Evaluate the internal consistency and temporal stability of advance directives (ADs) generated by an interactive, online computer program. METHODS: 33 participants completed the program at three visits, 2 weeks apart. Agreement rates were calculated for the General Wishes component of the AD. The test-retest method was used to examine the temporal stability of the Specific Wish for Treatment component which contains five clinical scenarios. RESULTS: General Wishes remained stable with 94% selecting the identical response at each visit. For the Specific Wish for Treatment scale, significant variations in test-retest correlations existed (ie, ρ=0.32-0.78, between time points 1 and 2); however within scenario, correlations did not significantly vary between time points. Temporal stability was lower in the Specific Wish for Treatment scale compared with General Wishes (average ρ=0.59, between time points 1 and 2; and ρ=0.75, between time points 2 and 3). CONCLUSIONS: ADs generated by an online decision aid demonstrate good temporal stability, with highest stability for General Wishes and moderate stability for Specific Wish for Treatment regarding medical treatments in specific clinical scenarios. Internal consistency for wish for treatment across all time points and scenarios was high (Cronbach α>0.90). Published by the BMJ Publishing Group Limited. For permission to use (where not already granted under a licence) please go to http://www.bmj.com/company/products-services/rights-and-licensing/.
OBJECTIVE: Evaluate the internal consistency and temporal stability of advance directives (ADs) generated by an interactive, online computer program. METHODS: 33 participants completed the program at three visits, 2 weeks apart. Agreement rates were calculated for the General Wishes component of the AD. The test-retest method was used to examine the temporal stability of the Specific Wish for Treatment component which contains five clinical scenarios. RESULTS: General Wishes remained stable with 94% selecting the identical response at each visit. For the Specific Wish for Treatment scale, significant variations in test-retest correlations existed (ie, ρ=0.32-0.78, between time points 1 and 2); however within scenario, correlations did not significantly vary between time points. Temporal stability was lower in the Specific Wish for Treatment scale compared with General Wishes (average ρ=0.59, between time points 1 and 2; and ρ=0.75, between time points 2 and 3). CONCLUSIONS: ADs generated by an online decision aid demonstrate good temporal stability, with highest stability for General Wishes and moderate stability for Specific Wish for Treatment regarding medical treatments in specific clinical scenarios. Internal consistency for wish for treatment across all time points and scenarios was high (Cronbach α>0.90). Published by the BMJ Publishing Group Limited. For permission to use (where not already granted under a licence) please go to http://www.bmj.com/company/products-services/rights-and-licensing/.