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Related Concept Videos

Models of Health Promotion and Illness Prevention I01:25

Models of Health Promotion and Illness Prevention I

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

Levels of Health Promotion and Illness Prevention

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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...
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Models of Health Promotion and Illness Prevention II01:18

Models of Health Promotion and Illness Prevention II

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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.
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Methods Of Healthcare Delivery System01:26

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At the different levels of the healthcare system, we see varying methods of healthcare used. These methods include managed care systems, case management, and primary healthcare.
Managed Care System:
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Introduction to Epidemiology01:26

Introduction to Epidemiology

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Epidemiology, known as the cornerstone of public health, involves studying the distribution and determinants of health-related events in defined populations and applying these insights to control health issues. This is essential for understanding how diseases spread, identifying populations at greater risk, and implementing measures to control or prevent outbreaks. Epidemiology addresses not only infectious diseases but also non-communicable conditions like cancer and cardiovascular disease,...
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Preventive Healthcare Services01:30

Preventive Healthcare Services

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Preventive healthcare services keep people healthy via frequent check-ups, screening, and counseling. They primarily aid in disease prevention rather than treating an acute or chronic illness. Preventive treatment also keeps individuals productive and energetic, allowing them to work well into their retirement years. Examples of preventive care services include:
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Related Experiment Video

Updated: Jul 2, 2025

Methodology for Establishing a Community-Wide Life Laboratory for Capturing Unobtrusive and Continuous Remote Activity and Health Data
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A Framework for Implementing Disease Prevention and Behavior Change Evidence at Scale.

Karim Keshavjee1, Jasmine Candeliere1, Felipe Cepeda1

  • 1Institute of Health, Policy and Management, Dalla Lana School of Public Health, University of Toronto, Toronto, ON, Canada.

Studies in Health Technology and Informatics
|February 19, 2024
PubMed
Summary

This study proposes a digital health framework to scale chronic disease prevention and treatment. It uses electronic medical records and AI to deliver personalized care to millions of Canadians, overcoming current healthcare capacity limits.

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behavior change theorydigital healthpatient segmentationpopulation diabetes preventionrisk profiling

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Area of Science:

  • Digital Health
  • Health Informatics
  • Chronic Disease Management

Background:

  • Vast evidence exists for chronic disease prevention and treatment, yet it's difficult to implement.
  • Current in-person healthcare models are at capacity, limiting access to preventive care for millions.
  • Behavior change theories are powerful but challenging to integrate into existing healthcare systems.

Purpose of the Study:

  • To propose a scalable framework for chronic disease prevention and treatment using digital health tools.
  • To leverage electronic medical records and emerging technologies for personalized patient outreach.
  • To improve access to evidence-based care for a large patient population.

Main Methods:

  • Utilizing data from electronic medical records to identify at-risk patients.
  • Implementing digital health tools for patient communication and education.
  • Integrating artificial intelligence and patient-generated data for personalized interventions.
  • Overseeing digital outreach through primary care teams.

Main Results:

  • The proposed framework enables identification of at-risk patients for proactive intervention.
  • Digital health tools facilitate scalable delivery of evidence-based knowledge and behavior change programs.
  • The system is designed for flexibility to incorporate new technologies without provider or patient burden.

Conclusions:

  • A digital health framework can overcome healthcare system limitations for chronic disease management.
  • Leveraging technology allows for large-scale, personalized preventive care delivery.
  • This approach enhances the capacity of primary care teams to manage chronic diseases effectively.