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

Methods Of Healthcare Delivery System01:26

Methods Of Healthcare Delivery System

3.7K
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:
The managed care system is designed to control the cost while maintaining the quality of care. The patient's care from admission to discharge is planned by the primary care provider or the case manager, also known as the gatekeeper. In a managed care system, the number of care providers is...
3.7K
Secondary Healthcare System01:11

Secondary Healthcare System

1.7K
Secondary healthcare is offered by a specialist, generally in hospitals or clinics for patients referred by primary healthcare providers. It occurs when a person has an illness or injury that requires specific medical care. Secondary care is often referred to as acute care. Secondary care can range from uncomplicated care to repair a minor laceration or treat a strep throat infection to more complicated emergent care, such as treating a head injury sustained in an automobile accident. Whatever...
1.7K
Production Efficiency01:01

Production Efficiency

17.2K
Net production efficiency (NPE) is the efficiency at which organisms assimilate energy into biomass for the next trophic level. Due to low metabolic rates and less energy spent on thermoregulatory processes, the NPE of ectotherms (cold-blooded animals) is 10 times higher than endotherms (warm-blooded animals).
17.2K
Measurement of Bioavailability: Pharmacodynamic Methods01:20

Measurement of Bioavailability: Pharmacodynamic Methods

18
Pharmacodynamic methods provide insights into a drug's effects on physiological processes over time and play a crucial role in understanding bioavailability and therapeutic efficacy. These methods can be broadly classified into acute pharmacological and therapeutic response approaches, each with distinct mechanisms and applications.The acute pharmacological response method directly correlates a drug's physiological effects, such as ECG or pupil diameter changes, to its time course in the body.
18
Drug Distribution as One-Compartment Model and Elimination by Nonlinear Pharmacokinetics: Overview01:25

Drug Distribution as One-Compartment Model and Elimination by Nonlinear Pharmacokinetics: Overview

140
Drug administration can occur through various routes, each of which may result in a different process of elimination. This process is often mixed with nonlinear and linear processes. It's important to understand that a single drug can be metabolized into different metabolites through parallel processes.
For instance, consider the metabolism of sodium salicylate. This compound is metabolized into two distinct substances: a glucuronide and a glycine conjugate. The rate of conjugation depends...
140
Physiological Pharmacokinetic Models: Blood Flow-Limited Versus Diffusion-Limited Models00:57

Physiological Pharmacokinetic Models: Blood Flow-Limited Versus Diffusion-Limited Models

174
Physiological pharmacokinetic models, often called flow-limited or perfusion models, typically assume a swift drug distribution between tissue and venous blood, creating a rapid drug equilibrium. This premise is based on the idea that drug diffusion is extremely fast, and the cell membrane presents no barrier to drug permeation. In this scenario, where no drug binding occurs, the drug concentration in the tissue equals that of the venous blood leaving the tissue. This greatly simplifies the...
174

You might also read

Related Articles

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

Sort by
Same author

From Clicks to Bets: How Social Media Engagement Influences Gambling Severity-Cross-Sectional Research.

Inquiry : a journal of medical care organization, provision and financing·2025
Same author

Dynamic stability of the financial monitoring system: Intellectual analysis.

PloS one·2023
Same author

A Complex Hybrid Model for Evaluating Projects to Improve the Sustainability and Health of Regions and Cities.

International journal of environmental research and public health·2022
Same author

Patient Satisfaction Determinants of Inpatient Healthcare.

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

Alcohol Use Disorders among Slovak and Czech University Students: A Closer Look at Tobacco Use, Cannabis Use and Socio-Demographic Characteristics.

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

Relationships between Renewable Energy and the Prevalence of Morbidity in the Countries of the European Union: A Panel Regression Approach.

International journal of environmental research and public health·2021

Related Experiment Video

Updated: Oct 17, 2025

Modeling the Functional Network for Spatial Navigation in the Human Brain
05:55

Modeling the Functional Network for Spatial Navigation in the Human Brain

Published on: October 13, 2023

1.2K

Health system efficiency in OECD countries: dynamic network DEA approach.

Beata Gavurova1, Kristina Kocisova2, Jakub Sopko2

  • 1Center for Applied Economic Research, Faculty of Management and Economics, Tomas Bata University in Zlín, Mostní 5139, 760 00, Zlín, Czech Republic. gavurova@utb.cz.

Health Economics Review
|October 13, 2021
PubMed
Summary

This study evaluated OECD health system efficiency from 2000-2016 using Dynamic Network Data Envelopment Analysis (DNDEA). While overall efficiency slightly declined, public health and medical care divisions showed improvements, particularly in public health.

Keywords:
DNDEAData envelopment analysisEfficiencyOECDPublic health

More Related Videos

Inherent Dynamics Visualizer, an Interactive Application for Evaluating and Visualizing Outputs from a Gene Regulatory Network Inference Pipeline
10:44

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

Published on: December 7, 2021

2.3K
Large Scale Energy Efficient Sensor Network Routing Using a Quantum Processor Unit
05:30

Large Scale Energy Efficient Sensor Network Routing Using a Quantum Processor Unit

Published on: September 8, 2023

757

Related Experiment Videos

Last Updated: Oct 17, 2025

Modeling the Functional Network for Spatial Navigation in the Human Brain
05:55

Modeling the Functional Network for Spatial Navigation in the Human Brain

Published on: October 13, 2023

1.2K
Inherent Dynamics Visualizer, an Interactive Application for Evaluating and Visualizing Outputs from a Gene Regulatory Network Inference Pipeline
10:44

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

Published on: December 7, 2021

2.3K
Large Scale Energy Efficient Sensor Network Routing Using a Quantum Processor Unit
05:30

Large Scale Energy Efficient Sensor Network Routing Using a Quantum Processor Unit

Published on: September 8, 2023

757

Area of Science:

  • Health Services Research
  • Health Economics
  • Public Health Policy

Background:

  • Evaluating health system efficiency is crucial for resource allocation and sustainability.
  • Dynamic Network Data Envelopment Analysis (DNDEA) allows analysis of interconnected health system areas.
  • This study examines efficiency trends in OECD countries over time.

Purpose of the Study:

  • To quantify and compare the efficiency of OECD health systems in 2000, 2008, and 2016.
  • To analyze overall health system efficiency and its components (public health and medical care).
  • To assess the impact of policy interventions on health system efficiency over time.

Main Methods:

  • Utilized OECD health data from 2000, 2008, and 2016.
  • Applied an input-oriented Dynamic Network Data Envelopment Analysis (DNDEA) model.
  • Analyzed health system efficiency overall and within public health and medical care sub-divisions.

Main Results:

  • Average overall health system efficiency was 0.8801 (2000), 0.8807 (2008), and 0.8472 (2016).
  • Malmquist Index revealed efficiency improvements: 19% in public health and 8% in medical care.
  • Average overall efficiency across the period was 0.8693.

Conclusions:

  • Results provide valuable insights for health policymakers in strategic planning and international benchmarking.
  • Further research could explore combining parametric and non-parametric models for deeper analysis.
  • Consistent and updated health statistics are essential for accurate efficiency assessments.