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báo cáo khoa học: " Implementing an innovative consent form: the PREDICT experience"

Tuyển tập báo cáo các nghiên cứu khoa học quốc tế ngành y học dành cho các bạn tham khảo đề tài: Implementing an innovative consent form: the PREDICT experience | Implementation Science BioMed Central Research article Implementing an innovative consent form the PREDICT experience Carole Decker 1 2 Suzanne V Arnold1 3 Olawale Olabiyi4 Homaa Ahmad5 Elizabeth Gialde1 Jamie Luark1 Lisa Riggs1 Terry DeJaynes1 Gabriel E Soto3 and John A Spertus1 2 Address 1Saint Luke s Mid America Heart Institute 4401 Wornall Rd Kansas City MO 64111 USA 2University of Missouri-Kansas City 5100 Rockhill Rd Kansas City MO 64110 USA Washington University in St. Louis 660 S. Euclid Ave St. Louis MO 63110 USA 4Children s Mercy Hospital Clinics 2401 Gilham Rd Kansas City MO 64108 USA and 5University of Chicago 5801 S. Ellis Ave Chicago IL 60637 USA Email Carole Decker - c1decker@saint-lukes.org Suzanne V Arnold - sarnold@im.wustl.edu Olawale Olabiyi - oolabiyi@gmail.com Homaa Ahmad - zhahmad@hotmail.com Elizabeth Gialde - egialde@saint-lukes.org Jamie Luark - jluark@saint-lukes.org Lisa Riggs - lriggs@saint-lukes.org Terry DeJaynes - tdejaynes@saint-lukes.org Gabriel E Soto - gesoto@earthlink.net John A Spertus - spertusj@umkc.edu Corresponding author Open Access Published 31 December 2008 Received 15 April 2008 Implementation Science 2008 3 58 doi 10.1186 1748-5908-3-58 Accepted 31 December 2008 This article is available from http www.implementationscience.cOm content 3 1 58 2008 Decker et al licensee BioMed Central Ltd. This is an Open Access article distributed under the terms of the Creative Commons Attribution License http creativecommons.org licenses by 2.0 which permits unrestricted use distribution and reproduction in any medium provided the original work is properly cited. Abstract Background In the setting of coronary angiography generic consent forms permit highly variable communication between patients and physicians. Even with the existence of multiple risk models clinicians have been unable to readily access them and thus provide patients with vague estimations regarding risks of the procedure. Methods We created a web-based vehicle .