Jove
Visualize
Contact Us

Related Concept Videos

Models of Health Promotion and Illness Prevention I01:25

Models of Health Promotion and Illness Prevention I

2.1K
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...
2.1K
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
Concepts of Health and Illness01:29

Concepts of Health and Illness

14.8K
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...
14.8K
Nursing Interventions II: Selecting and Classifying the Nursing Interventions01:29

Nursing Interventions II: Selecting and Classifying the Nursing Interventions

2.3K
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:
2.3K
Types of Biopharmaceutical Studies: Controlled and Non-Controlled Approaches01:23

Types of Biopharmaceutical Studies: Controlled and Non-Controlled Approaches

155
Biopharmaceutical studies constitute a vital field aiming to enhance drug delivery methods and refine therapeutic approaches, drawing upon diverse interdisciplinary knowledge. In research methodologies, the choice between controlled and non-controlled studies significantly influences the study's reliability and accuracy.
Non-controlled studies, commonly employed for initial exploration, lack a control group, rendering them susceptible to biases and external influences. In contrast,...
155
Methods of Documentation VI: Case Management Model01:15

Methods of Documentation VI: Case Management Model

612
The case management model is a multidisciplinary approach that involves healthcare professionals from diverse disciplines, such as physicians, nurses, therapists, social workers, and pharmacists, working collaboratively to address the various needs of patients. Each healthcare professional brings unique expertise and perspectives, contributing to a more comprehensive understanding of the patient's condition and tailoring treatment plans accordingly.
For example, a patient with a chronic...
612

You might also read

Related Articles

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

Sort by
Same author

[The 'right to health': difficulties, achievements, and challenges].

Revista de salud publica (Bogota, Colombia)·2023
Same journal

[Overweight, obesity and factors associated with health in hypertensive afro-descendants living in a Quilombola community in BrazilSobrepeso, obesidad y factores asociados a la salud en afrodescendientes hipertensos residentes en una comunidad Quilombola en Brasil].

Revista de salud publica (Bogota, Colombia)·2026
Same journal

[How to select a qualitative meta-synthesis for evidence-based practice in health].

Revista de salud publica (Bogota, Colombia)·2026
Same journal

Red zones: the true color behind the myth of blue zones geographic longevity.

Revista de salud publica (Bogota, Colombia)·2026
Same journal

[Barriers and facilitators of two pilot projects of telemonitoring aimed at patients with diabetes <i>mellitus 2</i>].

Revista de salud publica (Bogota, Colombia)·2026
Same journal

Scoping review of the emerging definition of long COVID: implications for future research and clinical practice.

Revista de salud publica (Bogota, Colombia)·2026
Same journal

[Frequency of some diseases that affect men's health of Andes, Antioquia].

Revista de salud publica (Bogota, Colombia)·2026
See all related articles
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 Experiment Video

Updated: Aug 11, 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

14.6K

[Evaluative models for complex health interventions].

Lina M García-Zapata1

  • 1LG: OD. M. Sc. Epidemiología. Ph. D. Salud. Docente asociada, Escuela de Odontología, Universidad del Valle. Cali, Colombia. lina.garcia.z@correounivalle.edu.co.

Revista De Salud Publica (Bogota, Colombia)
|February 8, 2023
PubMed
Summary
This summary is machine-generated.

This study identifies evaluative models for complex health interventions, recognizing their dynamic and context-dependent nature. Understanding these models is crucial for accurately assessing intervention impact.

More Related Videos

Using Visual and Narrative Methods to Achieve Fair Process in Clinical Care
14:32

Using Visual and Narrative Methods to Achieve Fair Process in Clinical Care

Published on: February 16, 2011

23.8K
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

2.2K

Related Experiment Videos

Last Updated: Aug 11, 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

14.6K
Using Visual and Narrative Methods to Achieve Fair Process in Clinical Care
14:32

Using Visual and Narrative Methods to Achieve Fair Process in Clinical Care

Published on: February 16, 2011

23.8K
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

2.2K

Area of Science:

  • Public Health
  • Health Services Research
  • Program Evaluation

Context:

  • Complex health interventions are dynamic, multicomponent, and context-specific.
  • Interventions are influenced by political, social, economic, and cultural factors.
  • Multiple actors and simultaneous interventions across sectors are common.

Purpose:

  • To identify and characterize evaluative models for complex health interventions.
  • To provide theoretical references for evaluating complex health programs.
  • To shift from linear to complexity-based evaluation perspectives.

Summary:

  • Presents evaluative models tailored for complex health interventions.
  • Highlights characteristics: dynamic nature, context-dependency, multiple components, and actors.
  • Addresses challenges in measuring impact and attributing outcomes.

Impact:

  • Facilitates more accurate and context-sensitive evaluation of health programs.
  • Enhances understanding of how interventions perform in diverse settings.
  • Supports evidence-based decision-making for public health initiatives.