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

Dimensions of Health and Illness01:21

Dimensions of Health and Illness

8.3K
The factors influencing the health-illness continuum can be internal or external and may or may not be under conscious control. They are related to the following eight human dimensions, and each dimension is interrelated to one other.
8.3K
Factors Affecting Illness01:18

Factors Affecting Illness

4.5K
When a person's physical, emotional, intellectual, social development or spiritual functioning is compromised, this deviation from a healthy normal state is called illness. Illness creates stress that in turn harms individuals. Irritation, anger, denial, hopelessness, and fear are behavioral and emotional changes an individual experiences in the phases of illness. A variety of factors influence a person's health and well-being.
For instance, risk factors are connected to illness,...
4.5K
Models of Health Promotion and Illness Prevention II01:18

Models of Health Promotion and Illness Prevention II

1.7K
The person's health status fluctuates continually, varying from being in good health to becoming ill and returning to being healthy. To understand the concept of illness prevention, there are two models. First, the health-illness continuum model is a graphic representation of an individual's wellness. It states that a person is considered healthy in the absence of physical disease and the presence of good emotional health.
The agent-host-environment model states that disease results...
1.7K
Models of Health Promotion and Illness Prevention I01:25

Models of Health Promotion and Illness Prevention I

2.2K
A model is a theoretical way to understand a concept or an idea. Models can overcome barriers to health regardless of diverse economic and cultural backgrounds. In addition, models make the task easier by providing different ways to approach complex issues. There are two major health promotion models: the health belief model and the health promotion model.
The health belief model (HBM) attempts to predict health-related behavior in specific belief patterns. According to the HBM, a person's...
2.2K
Concepts of Health and Illness01:29

Concepts of Health and Illness

15.7K
Health is a condition of the body, mind, and spirit where an individual remains free from illness. Similarly, wellness is an active state, including living a lifestyle that promotes physical, mental, and emotional health. Physical health is critical for the overall well-being and can be affected by lifestyle, activity level, diet, and behavior. The highest attainable standard of health is a fundamental and universal human right. Consider Lisa, a fifteen-year-old born with congenital...
15.7K
Clearance Models: Noncompartmental Models01:17

Clearance Models: Noncompartmental Models

104
Clearance is a pharmacokinetic parameter traditionally defined by compartment models, signifying the rate at which a drug is expelled from the body. However, a noncompartmental model offers an alternative method for assessing clearance, primarily employing empirical data obtained after administering a single drug dose.
The noncompartmental approach capitalizes on extensive sampling data, correlating the volume of distribution to systemic exposure and the administered dosage. This method enables...
104

You might also read

Related Articles

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

Sort by
Same author

Relevant domains for health technology assessment of medical device reimbursement in Brazil's unified health system: a survey and Delphi panel study on stakeholder preferences.

International journal of technology assessment in health care·2025
Same author

Cost-effectiveness assessment of liquid biopsy for early detection of lung cancer in Brazil.

PloS one·2025
Same author

Tirofiban efficacy and safety for percutaneous coronary intervention in patients with acute coronary syndrome: protocol for a systematic review and meta-analysis.

BMJ open·2025
Same author

Learning strategies for laypeople to participate in health technology assessment: a scoping review.

International journal of technology assessment in health care·2025
Same author

[Catastrophic expenditure in children with visual impairment: a cross-sectional study with caregivers in Rio de Janeiro, Brazil].

Cadernos de saude publica·2024
Same author

Estimating an EQ-5D-Y-3L Value Set for Brazil.

PharmacoEconomics·2024

Related Experiment Video

Updated: Sep 19, 2025

Inverse Probability of Treatment Weighting Propensity Score using the Military Health System Data Repository and National Death Index
06:55

Inverse Probability of Treatment Weighting Propensity Score using the Military Health System Data Repository and National Death Index

Published on: January 8, 2020

14.7K

Adjusting Health State Utility Values for Multiple Conditions: Real-World EQ-5D-3L Data Modeling in Brazil.

Milene Rangel da Costa1,2, Bráulio Dos Santos Júnior3, Marisa da Silva Santos3

  • 1Centre of Health Technology Assessment, National Institute of Cardiology, Rio de Janeiro, Brazil. milener.costa@gmail.com.

Pharmacoeconomics - Open
|May 31, 2025
PubMed
Summary

Estimating health utility values for multiple conditions in Brazil requires careful method selection. The minimum method is best for two conditions, while the multiplicative method is more accurate for three or more, impacting health economic evaluations.

More Related Videos

Home-Based Prescribed Pulmonary Exercise in Patients with Stable Chronic Obstructive Pulmonary Disease
07:10

Home-Based Prescribed Pulmonary Exercise in Patients with Stable Chronic Obstructive Pulmonary Disease

Published on: August 24, 2019

9.8K
Validation of a Psychosocial Intervention on Body Image in Older People: An Experimental Design
07:40

Validation of a Psychosocial Intervention on Body Image in Older People: An Experimental Design

Published on: May 31, 2021

3.5K

Related Experiment Videos

Last Updated: Sep 19, 2025

Inverse Probability of Treatment Weighting Propensity Score using the Military Health System Data Repository and National Death Index
06:55

Inverse Probability of Treatment Weighting Propensity Score using the Military Health System Data Repository and National Death Index

Published on: January 8, 2020

14.7K
Home-Based Prescribed Pulmonary Exercise in Patients with Stable Chronic Obstructive Pulmonary Disease
07:10

Home-Based Prescribed Pulmonary Exercise in Patients with Stable Chronic Obstructive Pulmonary Disease

Published on: August 24, 2019

9.8K
Validation of a Psychosocial Intervention on Body Image in Older People: An Experimental Design
07:40

Validation of a Psychosocial Intervention on Body Image in Older People: An Experimental Design

Published on: May 31, 2021

3.5K

Area of Science:

  • Health Economics
  • Decision Analytical Modeling
  • Quality of Life Research

Background:

  • Health economic evaluations use decision analytical models to estimate outcomes of health technologies.
  • Health-related quality of life is measured by utility values, often combined for multiple conditions.
  • Existing methods (additive, multiplicative, minimum, ADE) lack consensus for combining utilities.

Purpose of the Study:

  • To compare methods for estimating utility values in multi-condition health states.
  • To analyze Brazilian population data for utility value estimation.
  • To determine the most accurate methods for different numbers of comorbidities.

Main Methods:

  • Cross-sectional study in Brazil with 5774 participants.
  • EQ-5D-3L questionnaire used to collect utility values.
  • Four utility adjustment methods (additive, multiplicative, minimum, ADE) were tested and compared for accuracy and bias.

Main Results:

  • Lower utility scores correlated with more comorbidities.
  • The minimum method accurately estimated utilities for two conditions.
  • The multiplicative method showed higher accuracy for states with over two conditions.
  • Adjusting baseline utility to mean healthy utility reduced bias.

Conclusions:

  • Method choice for utility adjustment depends on available data and number of conditions.
  • For Brazilian utility values, the minimum method is recommended for two conditions.
  • The multiplicative method is preferred for health states with more than two conditions.