RESEARCH ARTICLE


Probability-Utility Model for Managing Evidence-based Central Database



Janet G Bauer*
UCLA School of Dentistry, Division of Restorative Dentistry, June and Paul Ehrlich Endowed Program in Geriatric Dentistry, 23-008E CHS, PO Box 951668, 10833 Le Conte Avenue, Los Angeles, California 90095-1668, USA


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Creative Commons License
© Janet G. Bauer; Licensee Bentham Open.

open-access license: This is an open access article licensed under the terms of the Creative Commons Attribution Non-Commercial License (http://creativecommons.org/licenses/by-nc/3.0/) which permits unrestricted, non-commercial use, distribution and reproduction in any medium, provided the work is properly cited.

* Address correspondence to this author at the UCLA School of Dentistry, Division of Restorative Dentistry, June and Paul Ehrlich Endowed Program in Geriatric Dentistry, 23-008E CHS, P.O. Box 951668, 10833 Le Conte Avenue, Los Angeles, California 90095-1668, USA; Tel: 310-825-57747; Fax: 310-641-0523; E-mail: jbauer@dent.ucla.edu


Abstract

The Probability-Utility Model is dependent on the clinical practice guideline for its function. The Model functions to provide decision analyses that demonstrate to clinicians and patients how personal preferences change the character of best evidence. Initially, patients are provided a clinical practice guideline based on “average patient” best evidence. The Model works to demonstrate how decision, utility, and cost best evidence impact on decisions. It offers to patients an explanation of these impacts. Thus, patients may become more informed about the choices that go into making optimal clinical decisions for their own personal health care. The model also provides for visual images to be used in discussing their personal choices when considering different treatment options and clinical scenarios. The calculations accomplished through the Model provide trade-off analyses by which discussions may be facilitated between provider and patient in reaching informed consent and optimal clinical decisions in formulating treatment plans.