Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Related Concept Videos

Relative Risk01:12

Relative Risk

2.2K
Relative risk (RR) is a statistical measure commonly used in epidemiology to compare the likelihood of a particular event occurring between two groups. This metric is important for evaluating the relationship between exposure to a specific risk factor and the probability of a particular outcome. It plays a crucial role in medical research, public health studies, and risk assessment. Relative risk quantifies how much more (or less) likely an event is to occur in an exposed group compared to an...
2.2K
Factors Affecting the Risk of Infection01:26

Factors Affecting the Risk of Infection

13.7K
The hosts' susceptibility to infection depends on several factors. The integrity of the skin and mucous membranes helps protect the body against microbial attacks. When the skin is altered, the chance of infection, limb loss, and even death increases.
The integrity and count of the white blood cells help the body resist pathogens and fight infection. When impaired, it reduces the body's resistance to pathogens. The acidic pH levels of the gastrointestinal, genitourinary tracts, and skin...
13.7K
Design Example: Analyzing Capacity Contours for Flood Risk Assessment01:17

Design Example: Analyzing Capacity Contours for Flood Risk Assessment

327
Flood risk assessment involves careful planning and analysis to ensure the safety of communities near water retention structures. Capacity contours are a vital tool in this process, as they illustrate the potential spread of water at specific levels in a given area. In the context of building a bund across a small valley, these contours play a critical role in evaluating the safety of nearby residential areas.In this example, the bund is intended to store stormwater in the valley. The engineers...
327
Interdisciplinary Care: The Health Care Team-I01:21

Interdisciplinary Care: The Health Care Team-I

2.7K
An interdisciplinary team includes many healthcare professionals working together and utilizing their skills, knowledge, and expertise to provide holistic and quality patient care.
Physicians
The physician's primary responsibility is to diagnose illness and direct the medical or surgical treatment of the condition. The authority to admit patients to a healthcare agency or institution and practice care within that setting is granted to physicians by the healthcare agency or institution...
2.7K
Interdisciplinary Care: The Health Care Team-II01:18

Interdisciplinary Care: The Health Care Team-II

2.3K
An interdisciplinary team includes many healthcare professionals working together and utilizing their skills, knowledge, and expertise to provide holistic and quality patient care. Here are a few more healthcare professionals.
Physical Therapist
A physical therapist (PT) aims to restore function or prevent additional impairment in a patient following an injury or disease. Massage, heat, cold, water, sonar waves, exercises, and electrical stimulation are some treatments used by PTs to treat...
2.3K
Force Classification01:22

Force Classification

2.4K
Forces play a crucial role in the study of physics and engineering. They are essential in describing the motion, behavior, and equilibrium of objects in the physical world. Forces can be classified based on their origin, type, and direction of action.
Contact and non-contact forces are two of the most widely used categories of forces. As the name suggests, contact forces require physical contact between two objects to act upon each other. Examples of contact forces include frictional,...
2.4K

You might also read

Related Articles

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

Sort by
Same author

The False Dilemma in the Communication of Bad News.

Studies in health technology and informatics·2026
Same author

Enhancing Patient Participation in Co-Productive Decision-Making With Personal Value Sets: Clinical Trial Prototype.

Journal of participatory medicine·2026
Same author

Unseen and untreated: implementing sarcopenic obesity care in Nordic general practice.

Frontiers in aging·2026
Same author

Addressing the 'optimal cutoff' Bias in Primary Care Testing.

Studies in health technology and informatics·2026
Same author

Patient contacts in general practice before, during, and after the COVID-19 pandemic - a Danish cohort study.

BJGP open·2026
Same author

Danish evaluation of Your Heart Forecast: a cluster randomised controlled trial aimed at improving modifiable risk factors of CVD.

Open heart·2026

Related Experiment Video

Updated: Feb 8, 2026

Assessment and Evaluation of the High Risk Neonate: The NICU Network Neurobehavioral Scale
19:15

Assessment and Evaluation of the High Risk Neonate: The NICU Network Neurobehavioral Scale

Published on: August 25, 2014

88.0K

Risk Thresholds and Risk Classifications Pose Problems for Person-Centred Care.

Mette Kjer Kaltoft1, Jesper Bo Nielsen2, Jack Dowie3

  • 1Odense University Hospital Svendborg, Denmark.

Studies in Health Technology and Informatics
|July 4, 2018
PubMed
Summary

Classifying individuals into risk levels is common but ethically problematic. Preference-sensitive, multi-criteria decision tools offer a better approach for informed consent, moving beyond single-criterion risk labels.

Keywords:
Multi-Criteria Decision Analysisperson-centred decision supportrisk classificationsrisk thresholds

More Related Videos

Establishing a Competing Risk Regression Nomogram Model for Survival Data
04:57

Establishing a Competing Risk Regression Nomogram Model for Survival Data

Published on: October 23, 2020

10.9K
An R-Based Landscape Validation of a Competing Risk Model
05:37

An R-Based Landscape Validation of a Competing Risk Model

Published on: September 16, 2022

2.6K

Related Experiment Videos

Last Updated: Feb 8, 2026

Assessment and Evaluation of the High Risk Neonate: The NICU Network Neurobehavioral Scale
19:15

Assessment and Evaluation of the High Risk Neonate: The NICU Network Neurobehavioral Scale

Published on: August 25, 2014

88.0K
Establishing a Competing Risk Regression Nomogram Model for Survival Data
04:57

Establishing a Competing Risk Regression Nomogram Model for Survival Data

Published on: October 23, 2020

10.9K
An R-Based Landscape Validation of a Competing Risk Model
05:37

An R-Based Landscape Validation of a Competing Risk Model

Published on: September 16, 2022

2.6K

Area of Science:

  • Medical Decision Making
  • Bioethics
  • Health Informatics

Background:

  • Continuous risk scores are frequently categorized into discrete risk levels (e.g., high, moderate, low).
  • This mono-criterial classification raises ethical concerns regarding informed consent and individual preferences.
  • Current risk stratification may not adequately capture the multifaceted considerations important to patients.

Purpose of the Study:

  • To propose and conceptually demonstrate preference-sensitive, multi-criteria decision support tools.
  • To address the ethical and legal challenges posed by single-criterion risk labeling.
  • To illustrate an alternative approach to risk communication that avoids arbitrary risk categories.

Main Methods:

  • Conceptual development of decision support tools based on multi-criteria analysis.
  • Demonstration of a proof-of-method for preference-sensitive decision support.
  • Illustrative use of the statin decision as a case study (without empirical data).

Main Results:

  • A conceptual framework for multi-criteria decision support was developed.
  • The proposed method bypasses the need for discrete risk-level classifications.
  • The statin decision example illustrates the potential of this approach.

Conclusions:

  • Preference-sensitive, multi-criteria decision support tools can overcome limitations of traditional risk stratification.
  • This approach enhances the quality of informed consent by incorporating individual values.
  • Future development should focus on implementing such tools to improve patient-centered care.