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

Community Based Intervention01:30

Community Based Intervention

34
Community-based interventions in mental health represent a paradigm shift from institution-centered care to treatments embedded within the fabric of local communities. By prioritizing inclusion and leveraging existing societal structures, this approach fosters a supportive environment conducive to addressing mental health challenges while promoting individual dignity and agency.
Foundations of Community Mental Health Programs
Central to the success of community-based interventions is the...
34
Models of Health Promotion and Illness Prevention I01:25

Models of Health Promotion and Illness Prevention I

2.0K
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...
2.0K
Stress Prevention and Stress Management Techniques VI01:30

Stress Prevention and Stress Management Techniques VI

27
Adopting a healthier lifestyle often requires overcoming significant challenges, but leveraging psychological, social, and cultural resources can facilitate meaningful change. Effective self-change hinges on understanding and applying key tools such as motivation and goal setting, which help sustain efforts toward long-term health benefits.
Motivation and Self-Determination
Motivation, the driving force behind behavior, plays a pivotal role at every stage of the change process. The research...
27
Models of Health Promotion and Illness Prevention II01:18

Models of Health Promotion and Illness Prevention II

1.6K
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...
1.6K
Levels of Health Promotion and Illness Prevention01:26

Levels of Health Promotion and Illness Prevention

12.5K
Health promotion allows a person to control the determinants of health, resulting in an improved health status. It enhances the quality of life and reduces premature deaths. Health promotion and illness prevention programs help people make beneficial choices to reduce the risk of disease and disabilities. There are three health promotion and illness prevention levels: primary, secondary, and tertiary prevention.
In primary prevention, actions taken before disease onset prevent the disease from...
12.5K
Concepts of Health and Illness01:29

Concepts of Health and Illness

14.2K
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...
14.2K

You might also read

Related Articles

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

Sort by
Same author

Beyond motor: a systematic review of multisensory integration deficits in Parkinson's disease.

Journal of neural transmission (Vienna, Austria : 1996)·2026
Same author

PathoCoder: Rethinking the Flaws of Patch-Based Learning for Multi-Class Classification in Computational Pathology.

Microscopy research and technique·2025
Same author

Understanding aberrant driving intentions based on the Theory of Planned Behavior: Literature review and Meta-Analysis.

Journal of safety research·2024
Same author

Multimodality Fusion Strategies in Eye Disease Diagnosis.

Journal of imaging informatics in medicine·2024
Same author

Functional size measurement of postnatal care apps: Morocco case study.

Informatics for health & social care·2024
Same author

Effects of Gamification on the Benefits of Student Response Systems in Learning of Human Anatomy: Three Experimental Studies.

International journal of environmental research and public health·2021
Same journal

Machine learning-based prediction of dataset-defined myocardial infarction risk: A retrospective computational study for precision cardiovascular risk assessment.

Digital health·2026
Same journal

Visualization of artificial intelligence applications in oral disease diagnosis: A bibliometric analysis.

Digital health·2026
Same journal

Wearable IoT health sensing beyond functional utility: Identity-expressive and hedonic determinants of user acceptance in intimate physiological monitoring devices - A sequential FA-ANP mixed-methods investigation with digital health policy implications.

Digital health·2026
Same journal

Heterogeneity of information across seven curated national or international digital health app repositories.

Digital health·2026
Same journal

Interpretable machine learning for early prediction of acute kidney injury in critically ill patients with acute pancreatitis.

Digital health·2026
Same journal

Exploring perceptions of data risks in AI-enabled nursing research: A qualitative study.

Digital health·2026
See all related articles

Related Experiment Video

Updated: Jun 8, 2025

Author Spotlight: Developing a Point-of-Care Hemoglobin Estimation Method for Anemia Management
05:35

Author Spotlight: Developing a Point-of-Care Hemoglobin Estimation Method for Anemia Management

Published on: January 19, 2024

719

Comprehensive framework for developing mHealth-based behavior change interventions.

Taoufik Rachad1, Abderrahim El Hafidy1, Meriem Aabbad1

  • 1Software Project Management Research Team, ENSIAS, Mohammed V University in Rabat, Rabat, Morocco.

Digital Health
|November 1, 2024
PubMed
Summary
This summary is machine-generated.

This study introduces a practical framework to guide researchers in creating digital behavior change interventions. It details five steps for designing, implementing, and evaluating mHealth solutions effectively.

Keywords:
behavior change interventionsbehavior change techniquesbehavioral intervention technology elementsmHealthself-adaptive systems

More Related Videos

Methodology for Establishing a Community-Wide Life Laboratory for Capturing Unobtrusive and Continuous Remote Activity and Health Data
11:21

Methodology for Establishing a Community-Wide Life Laboratory for Capturing Unobtrusive and Continuous Remote Activity and Health Data

Published on: July 27, 2018

8.2K
Iterative Development of an Innovative Smartphone-Based Dietary Assessment Tool: Traqq
04:54

Iterative Development of an Innovative Smartphone-Based Dietary Assessment Tool: Traqq

Published on: March 19, 2021

4.5K

Related Experiment Videos

Last Updated: Jun 8, 2025

Author Spotlight: Developing a Point-of-Care Hemoglobin Estimation Method for Anemia Management
05:35

Author Spotlight: Developing a Point-of-Care Hemoglobin Estimation Method for Anemia Management

Published on: January 19, 2024

719
Methodology for Establishing a Community-Wide Life Laboratory for Capturing Unobtrusive and Continuous Remote Activity and Health Data
11:21

Methodology for Establishing a Community-Wide Life Laboratory for Capturing Unobtrusive and Continuous Remote Activity and Health Data

Published on: July 27, 2018

8.2K
Iterative Development of an Innovative Smartphone-Based Dietary Assessment Tool: Traqq
04:54

Iterative Development of an Innovative Smartphone-Based Dietary Assessment Tool: Traqq

Published on: March 19, 2021

4.5K

Area of Science:

  • Behavioral Science
  • Digital Health
  • Intervention Design

Background:

  • Understanding human behaviors is key for effective behavior change interventions.
  • Researchers outside behavioral science face challenges in designing evidence-based interventions.
  • Existing frameworks lack guidance for developing digital behavior change interventions.

Purpose of the Study:

  • To present an end-to-end framework for designing and developing mHealth-based behavior change interventions.
  • To integrate theory, practice, and evidence for intervention development.
  • To provide a practical guide for researchers and practitioners.

Main Methods:

  • Reconciliation of existing behavior change intervention frameworks.
  • Examination and iterative mapping of framework steps.
  • Identification of five common, sequential steps for intervention design.

Main Results:

  • A five-step framework: (1) Define scope, (2) Understand behavior, (3) Define content/strategies, (4) Implement, (5) Evaluate.
  • Detailed explanations, examples, and materials for each step.
  • Guidance extending beyond conceptualization to technical implementation of mHealth solutions.

Conclusions:

  • The framework guides researchers in designing and implementing mHealth behavior change interventions.
  • It bridges the gap between conceptual design and technical mHealth implementation.
  • Provides practical examples and explanations for successful intervention development and evaluation.