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

Weighted Mean

Weighted Mean

While taking the arithmetic, geometric, or harmonic mean of a sample data set, equal importance is assigned to all the data points. However, all the values may not always be equally important in some data sets. An intrinsic bias might make it more important to give more weightage to specific values over others.
For example, consider the number of goals scored in the matches of a tournament. While computing the average number of goals scored in the tournament, it may be more important to...

Review and Preview

Review and Preview

In statistics, several tools are used to interpret the data. Measures of central tendency represent the characteristics of the data, such as mean, median, and mode. Additionally, measures of variance like standard deviation and range are used to find the spread of data from the mean. Relative standing measures the distance between data locations. Commonly used measures of relative standings are percentile, z score, and quartiles.
Percentiles are a type of fractile that partition data into...

Multiple Regression

Multiple Regression

Multiple regression assesses a linear relationship between one response or dependent variable and two or more independent variables. It has many practical applications.
Farmers can use multiple regression to determine the crop yield based on more than one factor, such as water availability, fertilizer, soil properties, etc. Here, the crop yield is the response or dependent variable as it depends on the other independent variables. The analysis requires the construction of a scatter plot...

Self-Evaluation Maintenance Model

Self-Evaluation Maintenance Model

The Self-Evaluation Maintenance (SEM) model offers a psychological framework to understand how individuals’ self-esteem is influenced by the achievements of others, particularly those with whom they share close personal bonds. The SEM model operates when personal rather than social identity guides individuals. Central to this model is the notion that individuals have an inherent desire to preserve a favorable self-image, which is continuously shaped by interpersonal comparisons and...

Self-Evaluation: Self-Enhancement and Self-Verification

Self-Evaluation: Self-Enhancement and Self-Verification

Social psychologists have documented that feeling good about ourselves and maintaining positive self-esteem is a powerful motivator of human behavior (Tavris & Aronson, 2008). In the United States, members of the predominant culture typically think very highly of themselves and view themselves as good people who are above average on many desirable traits (Ehrlinger, Gilovich, & Ross, 2005). Often, our behavior, attitudes, and beliefs are affected when we experience a threat to our...

Vector Algebra: Method of Components

Vector Algebra: Method of Components

It is cumbersome to find the magnitudes of vectors using the parallelogram rule or using the graphical method to perform mathematical operations like addition, subtraction, and multiplication. There are two ways to circumvent this algebraic complexity. One way is to draw the vectors to scale, as in navigation, and read approximate vector lengths and angles (directions) from the graphs. The other way is to use the method of components.
In many applications, the magnitudes and directions of...

You might also read

Related Articles

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

Sort by

Same author

Immunological efficacy and safety of influenza vaccination in adults with sarcoidosis: the SARCOVAC study.

Vaccine·2026

Same author

Ten years of European International Intensive Infectious Disease Courses (I3DC/IDEAL): long-term impact for undergraduate medical students.

BMC medical education·2026

Same author

Therapie·2026

Same author

How to differentiate between clinical added value (CAV) V drugs: What are the implications, and what is the access pathway?

Therapie·2026

Same author

Use of Artificial Intelligence-Based Software to Aid in the Identification of Ultrasound Findings Associated With Fetal Congenital Heart Defects.

Obstetrics and gynecology·2025

Same author

Artificial Intelligence for the Detection of Fetal Ultrasound Findings Concerning for Major Congenital Heart Defects.

Obstetrics and gynecology·2025

Search research articles

Related Experiment Video

Updated: Jul 4, 2026

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

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

Published on: August 29, 2025

Relative added value: what are the tools to evaluate it?

Claire Le Jeunne¹, Marie-Christine Woronoff-Lemsi, Nadine David

¹Hôtel Dieu, Université Paris-Descartes, Paris, France. claire.le-jeunne@htd.aphp.fr

Therapie

|June 20, 2008

Summary

Evaluating a drug's added value in France involves assessing its Improvement in Actual Benefit (IAB), considering efficacy, safety, and Public Health Impact (PHI). This analysis informs healthcare decisions and drug registration.

Related Experiment Videos

Last Updated: Jul 4, 2026

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

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

Published on: August 29, 2025

Area of Science:

Health Economics
Pharmaceutical Policy
Clinical Evaluation

Background:

The French Transparency Commission (TC) evaluates drug added value using Improvement in Actual Benefit (IAB).
IAB assessment traditionally relies on efficacy and safety within a defined population and therapeutic strategy.
Previous evaluations between 2004-2007 revealed a scarcity of direct comparative data.

Purpose of the Study:

To review and rationalize the criteria used for assessing the relative added value of drugs.
To explore broadening evaluation criteria beyond traditional efficacy and safety parameters.
To determine the appropriate integration of Public Health Impact (PHI) into drug value assessments.

Main Methods:

Analysis of TC opinions issued between 2004 and 2007 across various therapeutic areas.
Review of evaluation items including clinical effect, comparator relevance, and methodology (e.g., indirect comparisons, non-inferiority studies).
Discussion and consideration of additional parameters like Public Health Impact, compliance, and impact on professional practice.

Main Results:

The review highlighted a lack of direct comparative data in drug evaluations.
Public Health Impact (PHI) was identified as highly relevant to the notion of IAB, not just Actual Benefit (AB).
PHI criteria, such as population health improvement and meeting public health needs, are not systematically considered in current evaluations.

Conclusions:

The concept of relative added value should incorporate Public Health Impact (PHI) for a more comprehensive drug assessment.
Expected improvement in medical service, informed by real-world post-registration data, should support definitive benefit assessments.
Drug evaluation at initial registration should consider expected medical service, with definitive assessment upon renewed registration based on real-world evidence and therapeutic strategy positioning.