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

Nursing Interventions II: Selecting and Classifying the Nursing Interventions01:29

Nursing Interventions II: Selecting and Classifying the Nursing Interventions

2.9K
Creating and executing a nursing diagnosis helps nurses plan care and guide patient, family, and community interventions. They are developed based on a patient's physical evaluation and support measuring the outcomes. It is not recommended to select random interventions throughout the planning process. Instead, consider the following six essential factors when choosing interventions:
2.9K
Study Designs in Epidemiology01:20

Study Designs in Epidemiology

686
Epidemiological study designs are fundamental tools for investigating the distribution, determinants, and control of health conditions in populations. They help researchers understand the relationships between exposures and outcomes, and they broadly fall into two categories: "observational" and "experimental" studies.
Observational studies are those where the researcher does not intervene but rather observes natural variations. They include cross-sectional, cohort, and...
686
Group Design02:01

Group Design

10.0K
The most basic experimental design involves two groups: the experimental group and the control group. The two groups are designed to be the same except for one difference— experimental manipulation. The experimental group gets the experimental manipulation—that is, the treatment or variable being tested—and the control group does not. Since experimental manipulation is the only difference between the experimental and control groups, we can be sure that any differences between...
10.0K
Decision Making: Traditional Method01:14

Decision Making: Traditional Method

4.9K
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...
4.9K
Framing Effects03:26

Framing Effects

7.7K
Information is everywhere and its presentation—such as how and when items are presented—can impact our perceptions and decisions surrounding the info. This broad concept umbrellas framing effects—influences that occur due to the way information is framed in its appearance, whether it’s purely the order or the specific wording of a message. Let’s take a look at numerous ways in which two versions of something can objectively say the same thing, yet we respond in...
7.7K
Decision Making: P-value Method01:09

Decision Making: P-value Method

6.5K
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...
6.5K

You might also read

Related Articles

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

Sort by
Same author

Fecal Microbiota Transplantation for Symptom Improvement in Patients With Irritable Bowel Syndrome: Systematic Review and Meta-Analysis of Randomized Controlled Trials.

Gastroenterology·2026
Same author

Species-Specific Effects of Humic Substances and Mycorrhiza on Antioxidant Defense and Metal Stress Tolerance in <i>Cannabis sativa</i>, <i>Sorghum sudanense × bicolor</i>, and <i>Miscanthus × giganteus</i> Under Field Conditions.

International journal of molecular sciences·2026
Same author

Integrating Planetary Health in Health Guidelines (GRADE Guidance 46).

Annals of internal medicine·2026
Same author

New GRADE Evidence-to-Decision Framework for Pairwise and Multiple Comparisons (GRADE Guidance 45).

Annals of internal medicine·2026
Same author

Surgical and procedural bleed risk stratification for anticoagulated patients undergoing planned surgery: guidance from the ISTH SSC Subcommittee on Perioperative and Critical Care Thrombosis and Hemostasis.

Journal of thrombosis and haemostasis : JTH·2026
Same author

New Technology for the Production of Transparent Glass Coatings from Multi-Alloy Targets with Antibacterial Activity.

Materials (Basel, Switzerland)·2026
Same journal

Harms Reporting Was Frequently Incomplete or Discordant in Biomedical Randomized Trials Published in 2023: A Meta-epidemiological Study.

Journal of clinical epidemiology·2026
Same journal

Using an Open Science Checklist in Grant Proposal Reviews to Predict Reproducibility of Funded Publications.

Journal of clinical epidemiology·2026
Same journal

A comparison of five statistical methods used to analyse longitudinal EORTC QLQ-C30 quality of life scores in randomised controlled trials: a simulation study.

Journal of clinical epidemiology·2026
Same journal

Sample Size Determination for Decision-centered Pragmatic Trials.

Journal of clinical epidemiology·2026
Same journal

Many multicenter randomized controlled trials do not account for center effect: a methodological review.

Journal of clinical epidemiology·2026
Same journal

Patient Acceptability of the Modified Zelen Approach to Randomized Trials - A Survey of the CAPS THA Cohort.

Journal of clinical epidemiology·2026
See all related articles

Related Experiment Video

Updated: Dec 3, 2025

Involving Individuals with Developmental Language Disorder and Their Parents/Carers in Research Priority Setting
06:16

Involving Individuals with Developmental Language Disorder and Their Parents/Carers in Research Priority Setting

Published on: June 6, 2020

4.1K

Using GRADE evidence to decision frameworks to choose from multiple interventions.

Thomas Piggott1, Jan Brozek1, Artur Nowak2

  • 1Department of Health Research Methods, Evidence, and Impact, McMaster University, Hamilton, Canada.

Journal of Clinical Epidemiology
|October 31, 2020
PubMed
Summary
This summary is machine-generated.

A new multiple-intervention comparison (MC) approach using GRADE evidence to decision (EtD) frameworks is feasible for health care decision makers. This flexible method aids transparent assessment of multiple treatment options, enhancing guideline development.

Keywords:
GRADEGuidelinesMultiple intervention comparisonNetwork meta-analysisPolicyRecommendationsSoftware

More Related Videos

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

6.3K
Qualitative and Quantitative Validation of Tools with Rating Scales Aimed at Assessing the Quality of University Service-Learning
10:39

Qualitative and Quantitative Validation of Tools with Rating Scales Aimed at Assessing the Quality of University Service-Learning

Published on: August 29, 2025

770

Related Experiment Videos

Last Updated: Dec 3, 2025

Involving Individuals with Developmental Language Disorder and Their Parents/Carers in Research Priority Setting
06:16

Involving Individuals with Developmental Language Disorder and Their Parents/Carers in Research Priority Setting

Published on: June 6, 2020

4.1K
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

6.3K
Qualitative and Quantitative Validation of Tools with Rating Scales Aimed at Assessing the Quality of University Service-Learning
10:39

Qualitative and Quantitative Validation of Tools with Rating Scales Aimed at Assessing the Quality of University Service-Learning

Published on: August 29, 2025

770

Area of Science:

  • Health Economics and Outcomes Research
  • Clinical Guideline Development
  • Evidence-Based Medicine

Background:

  • Health care decision makers often need to compare multiple interventions simultaneously.
  • Existing methods may lead to recommendations based on limited pairwise comparisons, missing broader insights.

Purpose of the Study:

  • To develop and test a flexible approach for multiple-intervention comparisons (MC) within the Grading of Recommendations Assessment, Development and Evaluation (GRADE) evidence to decision (EtD) frameworks.
  • To integrate this MC approach into a software module for practical application in guideline development.

Main Methods:

  • Developed a flexible MC approach using GRADE EtD frameworks, drawing on examples from international organizations.
  • Refined the approach through user testing and integrated it into the GRADEpro software.
  • Tested the approach in real-world and theoretical guideline development scenarios.

Main Results:

  • The MC approach was found to be feasible, considering all EtD criteria.
  • Network meta-analyses (NMA) support decision-making but are not essential for the proposed MC approach.
  • Challenges such as intransitivity and relative intervention rankings were identified when using similar comparators.

Conclusions:

  • The developed MC approach and software module successfully support recommendation generation across various scenarios.
  • This approach enables transparent and critical assessment of multiple health intervention options.
  • Further application and refinement by guideline developers are expected to enhance understanding and impact.