Implementing an innovative consent form: the PREDICT experience

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Implementing an innovative consent form: the PREDICT experience

Please use this identifier to cite or link to this item: http://dx.doi.org/10.1186/1748-5908-3-58

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dc.contributor.author Decker, Carole
dc.contributor.author Arnold, Suzanne V.
dc.contributor.author Olabiyi, Olawale
dc.contributor.author Ahmad, Homaa
dc.contributor.author Gialde, Elizabeth
dc.contributor.author Luark, Jamie
dc.contributor.author Riggs, Lisa
dc.contributor.author DeJaynes, Terry
dc.contributor.author Soto, Gabriel E.
dc.contributor.author Spertus, John A.
dc.date.accessioned 2012-08-29T15:24:56Z
dc.date.available 2012-08-29T15:24:56Z
dc.date.issued 2008-12-31
dc.identifier.citation Implementation Science. 2008 Dec 31;3(1):58
dc.identifier.uri http://dx.doi.org/10.1186/1748-5908-3-58
dc.identifier.uri http://hdl.handle.net/10355/15029
dc.description.abstract 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, PREDICT, for embedding patient-specific estimates of risk from validated multivariable models into individualized consent documents at the point-of-care. Beginning August 2006, outpatients undergoing coronary angiography at the Mid America Heart Institute received individualized consent documents generated by PREDICT. In February 2007 this approach was expanded to all patients undergoing coronary angiography within the four Kansas City hospitals of the Saint Luke's Health System. Qualitative research methods were used to identify the implementation challenges and successes with incorporating PREDICT-enhanced consent documents into routine clinical care from multiple perspectives: administration, information systems, nurses, physicians, and patients. Results Most clinicians found usefulness in the tool (providing clarity and educational value for patients) and satisfaction with the altered processes of care, although a few cardiologists cited delayed patient flow and excessive patient questions. The responses from administration and patients were uniformly positive. The key barrier was related to informatics. Conclusion This preliminary experience suggests that successful change in clinical processes and organizational culture can be accomplished through multidisciplinary collaboration. A randomized trial of PREDICT consent, leveraging the accumulated knowledge from this first experience, is needed to further evaluate its impact on medical decision-making, patient compliance, and clinical outcomes.
dc.title Implementing an innovative consent form: the PREDICT experience
dc.type Journal Article
dc.date.updated 2012-08-29T15:24:56Z
dc.description.version Peer Reviewed
dc.language.rfc3066 en
dc.rights.holder Carole Decker et al.; licensee BioMed Central Ltd.


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