Search research articles

ABOUT JoVE

Overview Leadership Blog JoVE Help Center

AUTHORS

Publishing Process Editorial Board Scope & Policies Peer Review FAQ Submit

LIBRARIANS

Testimonials Subscriptions Access Resources Library Advisory Board FAQ

RESEARCH

JoVE Journal Methods Collections JoVE Encyclopedia of Experiments Archive

EDUCATION

JoVE Core JoVE Business JoVE Science Education JoVE Lab Manual Faculty Resource Center Faculty Site

Terms & Conditions of Use

Related Concept Videos

Types of Biopharmaceutical Studies: Controlled and Non-Controlled Approaches

Types of Biopharmaceutical Studies: Controlled and Non-Controlled Approaches

Biopharmaceutical studies constitute a vital field aiming to enhance drug delivery methods and refine therapeutic approaches, drawing upon diverse interdisciplinary knowledge. In research methodologies, the choice between controlled and non-controlled studies significantly influences the study's reliability and accuracy.
Non-controlled studies, commonly employed for initial exploration, lack a control group, rendering them susceptible to biases and external influences. In contrast, controlled...

Hazard Ratio

Hazard Ratio

The hazard ratio (HR) is a widely used measure in clinical trials to compare the risk of events, such as death or disease recurrence, between two groups over time. It reflects the ratio of hazard rates—the instantaneous risk of the event occurring—between a treatment group and a control group. This measure provides valuable insights into the relative effectiveness of a treatment by assessing how the risk of an event differs between the two groups.
For example, in a clinical trial evaluating a...

Statistical Software for Data Analysis and Clinical Trials

Statistical Software for Data Analysis and Clinical Trials

Statistical software is pivotal in data analysis and clinical trials by providing tools to analyze data, draw conclusions, and make predictions. These software packages range from simple data management applications to complex analytical platforms, supporting various statistical tests, models, and simulation techniques. Their significance lies in their ability to handle vast amounts of data with precision and efficiency, enabling researchers to validate hypotheses, identify trends, and make...

Methods of Documentation VI: Case Management Model

Methods of Documentation VI: Case Management Model

The case management model is a multidisciplinary approach that involves healthcare professionals from diverse disciplines, such as physicians, nurses, therapists, social workers, and pharmacists, working collaboratively to address the various needs of patients. Each healthcare professional brings unique expertise and perspectives, contributing to a more comprehensive understanding of the patient's condition and tailoring treatment plans accordingly.
For example, a patient with a chronic illness...

The Availability Heuristic

The Availability Heuristic

A heuristic is a general problem-solving framework (Tversky & Kahneman, 1974). You can think of these as mental shortcuts that are used to solve problems. Different types of heuristics are used in different types of situations, and the impulse to use a heuristic occurs when one of five conditions is met (Pratkanis, 1989):

Methods of Documentation V: CBE

Methods of Documentation V: CBE

Charting by Exception, or CBE, is a method of documentation used in healthcare, particularly in nursing, that focuses on documenting only significant or abnormal findings rather than recording every detail. This approach aims to streamline the documentation process, improve efficiency, and ensure that healthcare providers can quickly identify deviations from normalcy in patient assessments.
In CBE, healthcare professionals establish predefined standards of practice that define what constitutes...

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by

Same author

Confidence in outcome estimates from systematic reviews used in informed consent.

The journal of evidence-based dental practice·2016

Same author

Transforming scientific evidence into better consumer choices.

Bioinformation·2011

Same author

The Translation Evidence Mechanism. The Compact between Researcher and Clinician.

The open dentistry journal·2010

Same journal

Separation of Nickel-Titanium Rotary and Reciprocating Instruments: A Mini-Review of Clinical Studies.

The open dentistry journal·2018

Same journal

Is Conservative Surgery the Best Approach for Peripheral Calcifying Epithelial Odontogenic Tumors?

The open dentistry journal·2018

Same journal

Evaluation of the Effect of Glow Discharge Plasma Surface Treatment on Bonding Cements to Zirconia.

The open dentistry journal·2018

Same journal

Microbiological Response to Periodontal Therapy: A Retrospective Study.

The open dentistry journal·2018

Same journal

The Epidemiology and Management of Bell's Palsy in the Sudan.

The open dentistry journal·2018

Same journal

Cone Beam CT-Based Preoperative Volumetric Estimation of Bone Graft Required for Lateral Window Sinus Augmentation, Compared with Intraoperative Findings: A Pilot Study.

The open dentistry journal·2018

See all related articles

Search research articles

Related Experiment Video

Updated: Jun 8, 2026

Evidence-based Knowledge Synthesis and Hypothesis Validation: Navigating Biomedical Knowledge Bases via Explainable AI and Agentic Systems

Evidence-based Knowledge Synthesis and Hypothesis Validation: Navigating Biomedical Knowledge Bases via Explainable AI and Agentic Systems

Published on: June 13, 2025

Probability-Utility Model for Managing Evidence-based Central Database.

Janet G Bauer¹

¹UCLA 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.

The Open Dentistry Journal

|September 28, 2010

Summary

This summary is machine-generated.

The Probability-Utility Model helps patients understand how personal preferences affect medical decisions, using visual aids and trade-off analyses for informed consent and optimal care planning.

More Related Videos

Databases to Efficiently Manage Medium Sized, Low Velocity, Multidimensional Data in Tissue Engineering

Databases to Efficiently Manage Medium Sized, Low Velocity, Multidimensional Data in Tissue Engineering

Published on: November 22, 2019

Related Experiment Videos

Last Updated: Jun 8, 2026

Evidence-based Knowledge Synthesis and Hypothesis Validation: Navigating Biomedical Knowledge Bases via Explainable AI and Agentic Systems

Evidence-based Knowledge Synthesis and Hypothesis Validation: Navigating Biomedical Knowledge Bases via Explainable AI and Agentic Systems

Published on: June 13, 2025

Databases to Efficiently Manage Medium Sized, Low Velocity, Multidimensional Data in Tissue Engineering

Databases to Efficiently Manage Medium Sized, Low Velocity, Multidimensional Data in Tissue Engineering

Published on: November 22, 2019

Area of Science:

Decision analysis
Health economics
Medical ethics

Background:

Clinical practice guidelines (CPGs) often represent
Average patient data is the basis for current clinical practice guidelines.
The Probability-Utility Model enhances patient understanding of medical decision-making by illustrating how personal preferences interact with evidence.

Purpose of the Study:

To introduce the Probability-Utility Model for enhancing patient decision-making.
To explain how personal preferences influence the interpretation of clinical evidence.
To facilitate informed consent and optimal treatment planning through visual aids and trade-off analyses.

Main Methods:

The Probability-Utility Model utilizes clinical practice guidelines as a foundation.
It provides decision analyses to illustrate the impact of personal preferences, utility, and cost on evidence-based decisions.
Visual images and trade-off analyses are employed to facilitate provider-patient discussions.

Main Results:

Patients gain a better understanding of how their personal preferences affect medical decision-making.
The model clarifies the influence of decision, utility, and cost on best evidence.
Visual tools and trade-off analyses aid in discussions for informed consent and treatment planning.

Conclusions:

The Probability-Utility Model empowers patients to make more informed healthcare choices.
It bridges the gap between general clinical guidelines and individual patient needs.
Enhanced communication and shared decision-making lead to more optimal clinical outcomes.