2.50
Hdl Handle:
http://hdl.handle.net/10755/159189
Type:
Presentation
Title:
PREDICT - Patient-Refined Expectations for Deciding Invasive Cardiac Treatments
Abstract:
PREDICT - Patient-Refined Expectations for Deciding Invasive Cardiac Treatments
Conference Sponsor:Midwest Nursing Research Society
Conference Year:2007
Author:Decker, Carole, PhD, RN
P.I. Institution Name:Mid America Heart Institute
Contact Address:CV Research, 4401 Wornall Road, Kansas City, MO, 64111, USA
Co-Authors:B. Gialde, L. Riggs, D. Buchanan, M. Kosiborod, and J.A. Spertus, CV Research, Mid America Heart Institute, Kansas City, MO and G.E. Soto, School of Medicine, Washington University, Saint Louis, MO
Background for the study: There has been an explosion of prognostic cardiovascular risk models to help clinicians and patients understand risks and benefits of medical therapy. The application of research-derived models in clinical care has been greatly limited by their complexity and the lack of a practical mechanism to integrate the models into decision making. We have created a technology for translating risk/benefit prediction models in the clinical environment. PREDICT (Patient-Refined Expectations for Deciding Invasive Cardiac Treatments) is a web-based computer program bringing sophisticated risk models to the individual patient level in an understandable format. The format was developed using a series of qualitative research projects. These individualized risk graphs can be used as platforms for shared discussions and decision making or as in this study, inserted into customized consents. Methodology: From August to December 2006, outpatients with a scheduled cardiac procedure at the Mid America Heart Institute in Kansas City, MO will have their informed consent customized by PREDICT. CV Holding Room staff will collect the identified patient variables and enter the data into the program. The individualized, patient-specific risk model information will be inserted into the informed consent prior to discussion/signature. The impact of the PREDICT consent will be measured by pre/post questionnaires from patient, clinician, and system level perspectives. Patient comprehension, anxiety, and satisfaction will be evaluated. Clinician impact will be assessed for usefulness, satisfaction, and their perceived impact on the patient. The system impact on care will be evaluated including time involved, integration of components, cost/benefit analysis, and patient safety/risk management issues. Results: Approximately 200 patients will utilize the PREDICT consent during the August-December time period. Results will be reported from the three perspectives (patient, clinician, and system). Conclusions & Implications: Conclusions and implications are yet to be drawn.
Repository Posting Date:
26-Oct-2011
Date of Publication:
17-Oct-2011
Sponsors:
Midwest Nursing Research Society

Full metadata record

DC FieldValue Language
dc.typePresentationen_GB
dc.titlePREDICT - Patient-Refined Expectations for Deciding Invasive Cardiac Treatmentsen_GB
dc.identifier.urihttp://hdl.handle.net/10755/159189-
dc.description.abstract<table><tr><td colspan="2" class="item-title">PREDICT - Patient-Refined Expectations for Deciding Invasive Cardiac Treatments</td></tr><tr class="item-sponsor"><td class="label">Conference Sponsor:</td><td class="value">Midwest Nursing Research Society</td></tr><tr class="item-year"><td class="label">Conference Year:</td><td class="value">2007</td></tr><tr class="item-author"><td class="label">Author:</td><td class="value">Decker, Carole, PhD, RN</td></tr><tr class="item-institute"><td class="label">P.I. Institution Name:</td><td class="value">Mid America Heart Institute</td></tr><tr class="item-address"><td class="label">Contact Address:</td><td class="value">CV Research, 4401 Wornall Road, Kansas City, MO, 64111, USA</td></tr><tr class="item-email"><td class="label">Email:</td><td class="value">c1decker@saint-lukes.org</td></tr><tr class="item-co-authors"><td class="label">Co-Authors:</td><td class="value">B. Gialde, L. Riggs, D. Buchanan, M. Kosiborod, and J.A. Spertus, CV Research, Mid America Heart Institute, Kansas City, MO and G.E. Soto, School of Medicine, Washington University, Saint Louis, MO</td></tr><tr><td colspan="2" class="item-abstract">Background for the study: There has been an explosion of prognostic cardiovascular risk models to help clinicians and patients understand risks and benefits of medical therapy. The application of research-derived models in clinical care has been greatly limited by their complexity and the lack of a practical mechanism to integrate the models into decision making. We have created a technology for translating risk/benefit prediction models in the clinical environment. PREDICT (Patient-Refined Expectations for Deciding Invasive Cardiac Treatments) is a web-based computer program bringing sophisticated risk models to the individual patient level in an understandable format. The format was developed using a series of qualitative research projects. These individualized risk graphs can be used as platforms for shared discussions and decision making or as in this study, inserted into customized consents. Methodology: From August to December 2006, outpatients with a scheduled cardiac procedure at the Mid America Heart Institute in Kansas City, MO will have their informed consent customized by PREDICT. CV Holding Room staff will collect the identified patient variables and enter the data into the program. The individualized, patient-specific risk model information will be inserted into the informed consent prior to discussion/signature. The impact of the PREDICT consent will be measured by pre/post questionnaires from patient, clinician, and system level perspectives. Patient comprehension, anxiety, and satisfaction will be evaluated. Clinician impact will be assessed for usefulness, satisfaction, and their perceived impact on the patient. The system impact on care will be evaluated including time involved, integration of components, cost/benefit analysis, and patient safety/risk management issues. Results: Approximately 200 patients will utilize the PREDICT consent during the August-December time period. Results will be reported from the three perspectives (patient, clinician, and system). Conclusions &amp; Implications: Conclusions and implications are yet to be drawn.</td></tr></table>en_GB
dc.date.available2011-10-26T21:47:21Z-
dc.date.issued2011-10-17en_GB
dc.date.accessioned2011-10-26T21:47:21Z-
dc.description.sponsorshipMidwest Nursing Research Societyen_GB
All Items in this repository are protected by copyright, with all rights reserved, unless otherwise indicated.