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

Criteria for Causality: Bradford Hill Criteria - II01:28

Criteria for Causality: Bradford Hill Criteria - II

1.2K
The Bradford Hill criteria serve as guidelines for establishing causative links in epidemiological research. Beyond Strength, Consistency, Specificity, and Temporality, key criteria also include Biological Gradient, Plausibility, Coherence, Experiment, and Analogy. These principles assist scientists in assessing the likelihood of causation in complex biological contexts. Below is a summary of these concepts:
1.2K
Criteria for Causality: Bradford Hill Criteria - I01:30

Criteria for Causality: Bradford Hill Criteria - I

1.1K
The Bradford Hill criteria are a group of principles that provide a framework to determine a causal relationship between a specific factor and a disease. There are nine criteria that are pivotal in assessing causality in epidemiological studies. Here's a closer look at Strength, Consistency, Specificity, and Temporality criteria with definitions and examples:
1.1K
Decision Making01:20

Decision Making

970
Decision-making is a fundamental cognitive process that involves evaluating alternatives and selecting among them. This process can range from simple choices, such as deciding what to wear, to complex decisions, like choosing a major in college or a career path. The complexity of the decision often dictates the approach we use, which can be broadly categorized into two types: automatic and controlled decision-making.
Automatic decision-making is fast, intuitive, and relies on gut feelings...
970
Decision Making: P-value Method01:09

Decision Making: P-value Method

6.9K
The process of hypothesis testing based on the P-value method includes calculating the P- value using the sample data and interpreting it.
First, a specific claim about the population parameter is proposed. The claim is based on the research question and is stated in a simple form. Further, an opposing statement to the claim  is also stated. These statements can act as null and alternative hypotheses:  a null hypothesis would be a neutral statement while the alternative hypothesis can...
6.9K
Antigens Involved in Adaptive Immunity01:26

Antigens Involved in Adaptive Immunity

1.5K
An antigen is any substance the immune system identifies as foreign and potentially harmful to the body, prompting an immune response. Antigens have two functional properties: immunogenicity and reactivity. Immunogenicity is the ability of an antigen to stimulate a specific immune response. At the same time, reactivity describes the antigen's ability to react with the cells and antibodies produced in response to it.
Complete Antigens
Complete antigens possess both immunogenicity and...
1.5K
Decision Making: Traditional Method01:14

Decision Making: Traditional Method

5.4K
The process of hypothesis testing based on the traditional method includes calculating the critical value, testing the value of the test statistic using the sample data, and interpreting these values.
First, a specific claim about the population parameter is decided based on the research question and is stated in a simple form. Further, an opposing statement to this claim is also stated. These statements can act as null and alternative hypotheses, out of which a null hypothesis would be a...
5.4K

You might also read

Related Articles

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

Sort by
Same author

Newborn Screening for Spinal Muscular Atrophy in the UK: Use of Modelling to Identify Priorities for Ongoing Evaluation.

International journal of neonatal screening·2026
Same author

Cost-Effectiveness Modelling of Multiple System Atrophy for Early Health Technology Assessment.

PharmacoEconomics - open·2025
Same author

Diagnostic strategies for suspected acute aortic syndrome: systematic review, meta-analysis, decision-analytic modelling and value of information analysis.

Health technology assessment (Winchester, England)·2025
Same author

Cost-effectiveness of early noninvasive cardiac testing for suspected acute coronary syndrome.

Academic emergency medicine : official journal of the Society for Academic Emergency Medicine·2025
Same author

Long-term cost-effectiveness of invasive urodynamic studies for overactive bladder in women.

BJU international·2025
Same author

Association of Early Noninvasive Cardiac Stress Testing With Acute Myocardial Infarction and Mortality.

Annals of emergency medicine·2025
Same journal

Research on the incentive effect of government tax refunds on R&D investment of pharmaceutical enterprises.

Cost effectiveness and resource allocation : C/E·2026
Same journal

Bridging community and facility care: cost-effectiveness of implementing 2019 childhood pneumonia management guidelines in India.

Cost effectiveness and resource allocation : C/E·2026
Same journal

Changes in healthcare utilization before and after the implementation of a national dementia policy in Korea.

Cost effectiveness and resource allocation : C/E·2026
Same journal

Extended cost-effectiveness analysis in global health systems: a scoping review of geographic gaps and research trends.

Cost effectiveness and resource allocation : C/E·2026
Same journal

Understanding provider behavioral responses to capitation prepayment systems: an integrated mixed-methods approach.

Cost effectiveness and resource allocation : C/E·2026
Same journal

Quantitative evaluation of the medical resource allocation policy in China: a PMC-index model approach.

Cost effectiveness and resource allocation : C/E·2026
See all related articles

Related Experiment Video

Updated: Feb 2, 2026

Operant Protocols for Assessing the Cost-benefit Analysis During Reinforced Decision Making by Rodents
07:05

Operant Protocols for Assessing the Cost-benefit Analysis During Reinforced Decision Making by Rodents

Published on: September 10, 2018

6.5K

Stakeholder involvement in Multi-Criteria Decision Analysis.

Praveen Thokala1, Guruprasad Madhavan2

  • 11School of Health and Related Research, University of Sheffield, Sheffield, UK.

Cost Effectiveness and Resource Allocation : C/E
|November 21, 2018
PubMed
Summary
This summary is machine-generated.

Engaging stakeholders is crucial for developing successful multi-criteria decision analysis (MCDA) models. Ensuring decision-maker buy-in and ownership leads to better adoption and trust in MCDA tools.

Keywords:
Decision makersMCDAPriority settingStakeholders

More Related Videos

A Networked Desktop Virtual Reality Setup for Decision Science and Navigation Experiments with Multiple Participants
06:28

A Networked Desktop Virtual Reality Setup for Decision Science and Navigation Experiments with Multiple Participants

Published on: August 26, 2018

6.3K
Systematic Analysis of In Vitro Cell Rolling Using a Multi-well Plate Microfluidic System
11:04

Systematic Analysis of In Vitro Cell Rolling Using a Multi-well Plate Microfluidic System

Published on: October 16, 2013

12.6K

Related Experiment Videos

Last Updated: Feb 2, 2026

Operant Protocols for Assessing the Cost-benefit Analysis During Reinforced Decision Making by Rodents
07:05

Operant Protocols for Assessing the Cost-benefit Analysis During Reinforced Decision Making by Rodents

Published on: September 10, 2018

6.5K
A Networked Desktop Virtual Reality Setup for Decision Science and Navigation Experiments with Multiple Participants
06:28

A Networked Desktop Virtual Reality Setup for Decision Science and Navigation Experiments with Multiple Participants

Published on: August 26, 2018

6.3K
Systematic Analysis of In Vitro Cell Rolling Using a Multi-well Plate Microfluidic System
11:04

Systematic Analysis of In Vitro Cell Rolling Using a Multi-well Plate Microfluidic System

Published on: October 16, 2013

12.6K

Area of Science:

  • Decision Analysis
  • Health Policy Modeling

Background:

  • Multi-Criteria Decision Analysis (MCDA) models are increasingly used in complex decision-making processes.
  • Effective implementation requires bridging the gap between model developers and end-users to foster trust and understanding.
  • Current development and testing practices for MCDA tools may not adequately ensure user adoption.

Purpose of the Study:

  • To emphasize the critical role of stakeholder engagement in co-constructing MCDA models.
  • To highlight the importance of decision-maker buy-in and ownership for successful MCDA implementation.
  • To identify challenges in current MCDA tool development and promote routine adoption.

Main Methods:

  • This perspective synthesizes existing knowledge on stakeholder engagement in MCDA.
  • It includes a brief historical overview of MCDA methodologies.
  • The discussion focuses on practical aspects of tool development, testing, and adoption.

Main Results:

  • Stakeholder engagement is essential for co-constructing robust and relevant MCDA models.
  • Decision-maker buy-in and ownership significantly improve the likelihood of tool adoption.
  • Addressing the gap between developers and users is key to building trust and facilitating routine use.

Conclusions:

  • Successful MCDA implementation hinges on collaborative model development and strong decision-maker commitment.
  • Future MCDA tool development should prioritize user engagement and ownership to enhance practical application.
  • Fostering trust and understanding between developers and users is paramount for the routine adoption of MCDA processes.