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

Models of Health Promotion and Illness Prevention II01:18

Models of Health Promotion and Illness Prevention II

2.2K
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...
2.2K
Methods of Documentation VI: Case Management Model01:15

Methods of Documentation VI: Case Management Model

999
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...
999
Assumptions of Survival Analysis01:15

Assumptions of Survival Analysis

472
Survival models analyze the time until one or more events occur, such as death in biological organisms or failure in mechanical systems. These models are widely used across fields like medicine, biology, engineering, and public health to study time-to-event phenomena. To ensure accurate results, survival analysis relies on key assumptions and careful study design.
472
Preventive Healthcare Services01:30

Preventive Healthcare Services

2.3K
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:
2.3K
Models of Health Promotion and Illness Prevention I01:25

Models of Health Promotion and Illness Prevention I

3.0K
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...
3.0K
Classification of Illness01:17

Classification of Illness

9.2K
The meaning of illness is individualized to each person who experiences an alteration in health. In contrast, disease is a medical term indicating a pathological change in the structure and function of the body or mind. It is a condition that has specific symptoms and boundaries.
An illness is a response to a disease in which the person's level of functioning is changed compared with a previous level. The general classification of illness includes acute and chronic.
Acute illness is severe...
9.2K

You might also read

Related Articles

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

Sort by
Same author

Mental health service use after the Van Earthquake: evidence from a quasi-experimental difference-in-differences study.

BMC public health·2026
Same author

Towards personalized vaccine repurposing for Alzheimer's prevention: genotype-specific protective association of the shingles vaccine with odds of Alzheimer's disease in participants of two large cohort studies.

BMC neurology·2026
Same author

Associations of infections and vaccines with Alzheimer's disease point to a role of compromised immunity rather than specific pathogen in AD.

Experimental gerontology·2024
Same author

Associations of infections and vaccines with Alzheimer's disease point to a major role of compromised immunity rather than specific pathogen in AD.

medRxiv : the preprint server for health sciences·2023
Same author

Patient reported treatment burden and attitudes towards in-home intravesical therapy among patients with bladder cancer.

Urologic oncology·2023
Same author

Vaccination Against Pneumonia May Provide Genotype-Specific Protection Against Alzheimer's Disease.

Journal of Alzheimer's disease : JAD·2023

Related Experiment Video

Updated: Mar 11, 2026

A Machine Learning Approach to Design an Efficient Selective Screening of Mild Cognitive Impairment
12:18

A Machine Learning Approach to Design an Efficient Selective Screening of Mild Cognitive Impairment

Published on: January 11, 2020

8.2K

Screening for a Chronic Disease: A Multiple Stage Duration Model with Partial Observability.

Thomas A Mroz1, Gabriel Picone1, Frank Sloan1

  • 1Georgia State University, USA; University of South Florida, USA; Duke University, USA; Duke University, USA.

International Economic Review
|November 22, 2016
PubMed
Summary

Early diabetes detection is crucial for preventing complications and death. Timely diagnosis significantly improves longevity, with policy interventions valuing an additional year of life between $50,000 and $120,000.

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

8.9K
Implementation of a Real-Time Psychosis Risk Detection and Alerting System Based on Electronic Health Records using CogStack
07:31

Implementation of a Real-Time Psychosis Risk Detection and Alerting System Based on Electronic Health Records using CogStack

Published on: May 15, 2020

8.2K

Related Experiment Videos

Last Updated: Mar 11, 2026

A Machine Learning Approach to Design an Efficient Selective Screening of Mild Cognitive Impairment
12:18

A Machine Learning Approach to Design an Efficient Selective Screening of Mild Cognitive Impairment

Published on: January 11, 2020

8.2K
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

8.9K
Implementation of a Real-Time Psychosis Risk Detection and Alerting System Based on Electronic Health Records using CogStack
07:31

Implementation of a Real-Time Psychosis Risk Detection and Alerting System Based on Electronic Health Records using CogStack

Published on: May 15, 2020

8.2K

Area of Science:

  • Health Economics
  • Diabetes Research
  • Biostatistics

Background:

  • Diabetes mellitus poses a significant public health burden, leading to severe complications.
  • Lower extremity complications and mortality are major concerns in diabetes management.
  • Early detection and screening are vital for mitigating disease progression and improving patient outcomes.

Purpose of the Study:

  • To estimate a dynamic multi-stage duration model assessing the impact of early diabetes detection on delaying complications and death.
  • To analyze the influence of partial observability, unmeasured heterogeneity, and endogenous screening on diabetes progression.
  • To evaluate the cost-effectiveness of policies aimed at reducing screening costs and improving longevity.

Main Methods:

  • Dynamic multi-stage duration modeling.
  • Incorporation of partial observability and unmeasured heterogeneity.
  • Endogenous screening timing analysis.

Main Results:

  • Early diagnosis of diabetes is critical for delaying lower extremity complications and mortality.
  • The study quantifies the economic value of increased longevity gained through timely screening.
  • Policy analysis reveals significant differences in the implied value of life based on screening restrictiveness.

Conclusions:

  • Timely diabetes diagnosis and screening are paramount for improving long-term health outcomes.
  • Policy interventions can effectively reduce screening costs while preserving or enhancing patient longevity.
  • The study provides economic insights into the value of life years gained through proactive diabetes management.