Related Experiment Video
Updated: May 17, 2026
05:55
Modeling the Functional Network for Spatial Navigation in the Human Brain
Published on: October 13, 2023
Neuman systems model in holland: an update.
André Merks1, Frans Verberk, Marlou de Kuiper
1Manager Innovation & Expert Centre, Emergis, Institute for Mental Health Care Zeeland, Holland.
Nursing Science Quarterly
|October 23, 2012
Summary
The Neuman Systems Model is evolving in The Netherlands, emphasizing patient self-management and interprofessional collaboration. This update highlights its integration with systems theory and healthcare quality improvement initiatives.
Area of Science:
- Nursing Theory
- Systems Theory
- Healthcare Management
Background:
- The Neuman Systems Model (NSM) is a nursing theory developed by Betty Neuman.
- The NSM conceptualizes the client as a system with layers of defense against stressors.
- This column updates the application of the NSM in The Netherlands.
Purpose of the Study:
- To document changes in The Netherlands influencing NSM application.
- To discuss the NSM's theoretical underpinnings (systems and stress theory).
- To highlight the model's role in contemporary healthcare.
Main Methods:
- Document analysis of changes in Dutch healthcare.
- Discussion of theoretical linkages.
- Case examples of NSM application.
Main Results:
- The NSM's application in The Netherlands has adapted to national healthcare changes.
- There is an increased focus on patient self-management within the NSM framework.
- The NSM is increasingly linked to healthcare quality improvement and interprofessional collaboration.
Conclusions:
- The Neuman Systems Model remains a relevant and adaptable framework in Dutch nursing practice.
- The model's integration with patient self-management and collaborative care enhances its utility.
- Continued evolution of the NSM supports its role in quality healthcare delivery.
Related Concept Videos
01:21Mechanistic Models: Overview of Compartment Models
Mechanistic models, a category encompassing both physiological and compartmental modeling, differ from empirical models' approaches to incorporating known factors about the systems being modeled. Empirical models describe data with minimal assumptions, while mechanistic models aim to provide a robust description of available data by specifying assumptions and integrating known factors about the system. Compartmental analysis is a key example of a mechanistic model in pharmacokinetics and...
01:14Pharmacodynamic Models: Link Model and Systems Pharmacodynamic Model
The link model is a fundamental pharmacokinetic-pharmacodynamic (PK–PD) approach to account for delayed drug responses when the observed effect does not immediately correlate with the drug's plasma concentration peak. This delay is mathematically addressed by introducing an effect compartment concentration, Ce, which is kinetically linked to the plasma concentration, Cp, via a first-order rate constant, ke0. The linkage allows for a more accurate prediction of drug effects over time. A higher...
01:14Multicompartment Models: Overview
Multicompartment models are mathematical constructs that depict how drugs are distributed and eliminated within the body. They segment the body into several compartments, symbolizing various physiological or anatomical areas connected through drug transfer processes such as absorption, metabolism, distribution, and elimination.
These models offer a more comprehensive representation of drug behavior in the body than one-compartment models. They accommodate the complexity of drug distribution,...
These models offer a more comprehensive representation of drug behavior in the body than one-compartment models. They accommodate the complexity of drug distribution,...
01:29Mechanistic Models: Compartment Models in Algorithms for Numerical Problem Solving
Mechanistic models play a crucial role in algorithms for numerical problem-solving, particularly in nonlinear mixed effects modeling (NMEM). These models aim to minimize specific objective functions by evaluating various parameter estimates, leading to the development of systematic algorithms. In some cases, linearization techniques approximate the model using linear equations.
In individual population analyses, different algorithms are employed, such as Cauchy's method, which uses a...
In individual population analyses, different algorithms are employed, such as Cauchy's method, which uses a...
01:27Pharmacodynamic Models: Overview
Pharmacodynamic (PD) responses describe the interaction between a drug and its biological target, culminating in a physiological effect. These responses can be classified into different types: continuous variables, such as blood glucose levels; categorical outcomes, like survival rates; and time-to-event metrics, such as disease progression. Understanding and modeling PD responses are critical for optimizing drug efficacy and safety.PD models describe the relationship between drug concentration...
01:29Self-Evaluation Maintenance Model
The Self-Evaluation Maintenance (SEM) model offers a psychological framework to understand how individuals’ self-esteem is influenced by the achievements of others, particularly those with whom they share close personal bonds. The SEM model operates when personal rather than social identity guides individuals. Central to this model is the notion that individuals have an inherent desire to preserve a favorable self-image, which is continuously shaped by interpersonal comparisons and...