Search research articles

ABOUT JoVE

Overview Leadership Blog JoVE Help Center

AUTHORS

Publishing Process Editorial Board Scope & Policies Peer Review FAQ Submit

LIBRARIANS

Testimonials Subscriptions Access Resources Library Advisory Board FAQ

RESEARCH

JoVE Journal Methods Collections JoVE Encyclopedia of Experiments Archive

EDUCATION

JoVE Core JoVE Business JoVE Science Education JoVE Lab Manual Faculty Resource Center Faculty Site

Terms & Conditions of Use

Related Concept Videos

Protein Networks

Protein Networks

An organism can have thousands of different proteins, and these proteins must cooperate to ensure the health of an organism. Proteins bind to other proteins and form complexes to carry out their functions. Many proteins interact with multiple other proteins creating a complex network of protein interactions.
These interactions can be represented through maps depicting protein-protein interaction networks, represented as nodes and edges. Nodes are circles that are representative of a protein,...

Epistasis Analysis

Epistasis Analysis

Although Mendel chose seven unrelated traits in peas to study gene segregation, most traits involve multiple gene interactions that create a spectrum of phenotypes. When the interaction of various genes or alleles at different locations influences a phenotype, this is called epistasis. Epistasis often involves one gene masking or interfering with the expression of another (antagonistic epistasis). Epistasis often occurs when different genes are part of the same biochemical pathway. The...

Quantifying Work

Quantifying Work

As a system undergoes a change, its internal energy can change, and energy can be transferred from the system to the surroundings, or from the surroundings to the system.

Principle of Virtual Work: Problem Solving

Principle of Virtual Work: Problem Solving

The principle of virtual work is an essential concept in the field of mechanics and engineering. This is used to solve problems related to the equilibrium of a structure or system. It is based on the assumption that if a system is in equilibrium, the work done by all the forces during a virtual displacement is zero. This principle is applied by considering virtual displacements of the system and the corresponding work done by internal and external forces.
To apply the principle of virtual work,...

Mechanistic Models: Compartment Models in Individual and Population Analysis

Mechanistic Models: Compartment Models in Individual and Population Analysis

Mechanistic models are utilized in individual analysis using single-source data, but imperfections arise due to data collection errors, preventing perfect prediction of observed data. The mathematical equation involves known values (Xi), observed concentrations (Ci), measurement errors (εi), model parameters (ϕj), and the related function (ƒi) for i number of values. Different least-squares metrics quantify differences between predicted and observed values. The ordinary least...

Social Exchange Theory

Social Exchange Theory

As formulated by John Thibaut and Harold Kelley, Social Exchange Theory explains human relationships as economic-like exchanges that maximize rewards and minimize costs. This theory suggests that individuals engage in relationships to gain benefits and reduce burdens, similar to economic transactions. It has been widely applied to various types of relationships, including romantic, professional, and social interactions.Rewards and Costs in RelationshipsRelationship rewards include emotional...

You might also read

Related Articles

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

Sort by

Same author

Using Partner-Driven Maximum Variance Sampling to Form a Lived Experience Panel: Step-by-Step Tutorial.

Journal of participatory medicine·2026

Same author

Care Partner's Experience with Care Received in the Emergency Department.

Convergence : breaking down barriers between disciplines : proceedings of the International Conference on Healthcare Systems Ergonomics and Patient Safety, HEPS2022. HEPS (Conference) (7th : 2022 : Delft, Netherlands)·2026

Same author

How Parent Caregivers of Children with Medical Complexity Respond to Patient Safety Events at Home.

Proceedings of the Human Factors and Ergonomics Society ... Annual Meeting. Human Factors and Ergonomics Society. Annual meeting·2026

Same author

Co-design-related approaches in medication safety for people with dementia: A scoping review.

British journal of clinical pharmacology·2026

Same author

Patient Safety Events Among Children Receiving Home Health Care.

JAMA network open·2026

Same author

Medical Device Design Flaws for Children With Medical Complexity at Home.

Pediatrics·2026

Same journal

Identification of systemic barriers, facilitators and adaptations to effective record-keeping: a South African primary healthcare clinic case study.

Ergonomics·2026

Same journal

Layer-specific facial soft-tissue thickness in 1174 Chinese adults: Implications for finite-element headforms and ergonomic design.

Ergonomics·2026

Same journal

The dual effects of information presentation speed on operator performance in dynamic tasks: a study in supervisory control and data acquisition interfaces.

Ergonomics·2026

Same journal

Evaluating generative AI teaching assistants in simulated learning environments: how instructor type and support type affect students' perceptions.

Ergonomics·2026

Same journal

Swipe smart, not hard: hand health of smartphone users in a university population.

Ergonomics·2026

Same journal

Couriers' work-related musculoskeletal disorders and psychological distress: Insights for work errors and traffic safety.

Ergonomics·2026

See all related articles

Search research articles

Related Experiment Video

Updated: Oct 1, 2025

Inherent Dynamics Visualizer, an Interactive Application for Evaluating and Visualizing Outputs from a Gene Regulatory Network Inference Pipeline

Inherent Dynamics Visualizer, an Interactive Application for Evaluating and Visualizing Outputs from a Gene Regulatory Network Inference Pipeline

Published on: December 7, 2021

Quantifying the qualitative: exploring epistemic network analysis as a method to study work system interactions.

Dustin T Weiler¹, Aloysius J Lingg¹, Brendan R Eagan²

¹Department of Industrial & Systems Engineering, University of Wisconsin-Madison, Madison, WI, USA.

|March 8, 2022

Summary

This summary is machine-generated.

Epistemic Network Analysis (ENA) offers a new way to study complex interactions in dementia caregiver work systems. This method visually represents and describes these systems, aiding in understanding caregiver experiences.

Keywords:

Socio-technical system interactions configural diagram dementia caregiving epistemic network analysis ergonomics tools and methods

More Related Videos

Modeling the Functional Network for Spatial Navigation in the Human Brain

Modeling the Functional Network for Spatial Navigation in the Human Brain

Published on: October 13, 2023

Mapping Bacterial Functional Networks and Pathways in Escherichia Coli using Synthetic Genetic Arrays

Mapping Bacterial Functional Networks and Pathways in Escherichia Coli using Synthetic Genetic Arrays

Published on: November 12, 2012

Related Experiment Videos

Last Updated: Oct 1, 2025

Inherent Dynamics Visualizer, an Interactive Application for Evaluating and Visualizing Outputs from a Gene Regulatory Network Inference Pipeline

Inherent Dynamics Visualizer, an Interactive Application for Evaluating and Visualizing Outputs from a Gene Regulatory Network Inference Pipeline

Published on: December 7, 2021

Modeling the Functional Network for Spatial Navigation in the Human Brain

Modeling the Functional Network for Spatial Navigation in the Human Brain

Published on: October 13, 2023

Mapping Bacterial Functional Networks and Pathways in Escherichia Coli using Synthetic Genetic Arrays

Mapping Bacterial Functional Networks and Pathways in Escherichia Coli using Synthetic Genetic Arrays

Published on: November 12, 2012

Area of Science:

Gerontology
Health Services Research
Methodology

Background:

Studying complex interactions in healthcare, particularly dementia caregiving, presents methodological challenges.
Existing methods like configural diagramming have limitations in representing these interactions effectively.
Understanding the work system of dementia caregivers is crucial for improving care quality.

Purpose of the Study:

To demonstrate Epistemic Network Analysis (ENA) as a viable method for constructing configural diagrams.
To apply ENA to analyze interactions within dementia caregiver work systems.
To compare work system configurations of caregivers based on care location.

Main Methods:

Conducted 20 semi-structured interviews with dementia caregivers.
Performed directed content analysis based on the Patient Work System model to identify components.
Utilized Epistemic Network Analysis (ENA) to study interactions between identified work system components.
Constructed configural diagrams using ENA to visualize interaction patterns.

Main Results:

Identified five frequently occurring interactions within dementia caregiver work systems.
Compared work system configurations for caregivers providing care at home versus away from home.
Observed visual and qualitative differences in work system configurations, despite underpowered statistical analysis.

Conclusions:

Epistemic Network Analysis (ENA) is a capable method for studying work system interactions through configural diagramming.
ENA provides a visual and descriptive approach to understanding the complexities of dementia caregiver work systems.
This methodology can enhance the study of interactions in various applied contexts.