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

Automated Microbial Diagnostics

Automated Microbial Diagnostics

Automated diagnostic analyzers have transformed clinical microbiology by providing rapid and reliable methods for pathogen identification and antibiotic susceptibility testing. Among these systems, the Vitek 2 is widely used because it automates the traditionally labor-intensive processes of microbial identification (ID) and antibiotic susceptibility testing (AST), delivering standardized and timely results that are essential for effective patient care.Microbial Identification with ID CardsThe...

You might also read

Related Articles

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

Sort by

Same author

Isolated intestinal manifestation of an invasive varicella zoster virus reactivation in an immunocompromised patient: a case report.

Acta gastro-enterologica Belgica·2024

Same author

Comparison of five SARS-CoV-2 rapid antigen detection tests in a hospital setting and performance of one antigen assay in routine practice: a useful tool to guide isolation precautions?

The Journal of hospital infection·2021

Same author

A statistical framework to estimate diagnostic test performance for COVID-19.

Clinical radiology·2020

Same author

Travel history can make the difference.

Acta gastro-enterologica Belgica·2020

Same author

Impact of gender on extent of lung injury in COVID-19.

Clinical radiology·2020

Same author

Care for adult non-ICU Covid-19 patients: early experiences from a Belgian tertiary care centre.

The Netherlands journal of medicine·2020

Search research articles

Related Experiment Video

Updated: Apr 6, 2026

A Protein Microarray Assay for Serological Determination of Antigen-specific Antibody Responses Following Clostridium difficile Infection

A Protein Microarray Assay for Serological Determination of Antigen-specific Antibody Responses Following Clostridium difficile Infection

Published on: June 15, 2018

A hospital-level cost-effectiveness analysis model for toxigenic Clostridium difficile detection algorithms.

E Verhoye¹, P Vandecandelaere², H De Beenhouwer¹

¹Laboratory of Microbiology, Onze-Lieve-Vrouw Hospital, Aalst, Belgium.

The Journal of Hospital Infection

|August 2, 2015

Summary

A new model evaluated Clostridium difficile test algorithms, finding a two-step approach (GDH/toxin testing followed by molecular assay) to be most cost-effective. This strategy minimizes hospital costs and infectious risks by enabling rapid patient isolation.

Keywords:

Algorithm Clostridium difficile Cost-effectiveness model Toxigenic

More Related Videos

Cefoperazone-treated Mouse Model of Clinically-relevant Clostridium difficile Strain R20291

Cefoperazone-treated Mouse Model of Clinically-relevant Clostridium difficile Strain R20291

Published on: December 10, 2016

A Protocol to Characterize the Morphological Changes of Clostridium difficile in Response to Antibiotic Treatment

A Protocol to Characterize the Morphological Changes of Clostridium difficile in Response to Antibiotic Treatment

Published on: May 25, 2017

Related Experiment Videos

Last Updated: Apr 6, 2026

A Protein Microarray Assay for Serological Determination of Antigen-specific Antibody Responses Following Clostridium difficile Infection

A Protein Microarray Assay for Serological Determination of Antigen-specific Antibody Responses Following Clostridium difficile Infection

Published on: June 15, 2018

Cefoperazone-treated Mouse Model of Clinically-relevant Clostridium difficile Strain R20291

Cefoperazone-treated Mouse Model of Clinically-relevant Clostridium difficile Strain R20291

Published on: December 10, 2016

A Protocol to Characterize the Morphological Changes of Clostridium difficile in Response to Antibiotic Treatment

A Protocol to Characterize the Morphological Changes of Clostridium difficile in Response to Antibiotic Treatment

Published on: May 25, 2017

Area of Science:

Clinical Microbiology
Health Economics
Infectious Disease Control

Background:

Analytical performance of Clostridium difficile tests is well-studied, but financial impact at the hospital level remains unclear.
Hospital cost models require institution-specific data like incidence, testing behavior, and infection control policies.

Purpose of the Study:

To calculate total hospital costs for various Clostridium difficile test algorithms.
To assess the financial burden associated with patient isolation and antibiotic therapy based on testing outcomes.
To quantify the infectious risk posed by patients with toxigenic strains due to delayed isolation.

Main Methods:

Developed a mathematical algorithm incorporating hospital-specific variables (prevalence, testing, hygiene measures).
Utilized literature data for test sensitivity and specificity; obtained cost data from manufacturers and institutions.
Calculated costs including reagents, personnel, and financial impact of isolation/antibiotic therapies.
Compared five distinct diagnostic test algorithms.

Main Results:

A dynamic model was created to evaluate the cost-benefit ratio of algorithms based on input variables.
The two-step algorithm (glutamate dehydrogenase and toxin testing, followed by molecular assay) proved most cost-effective.
This algorithm facilitated near-immediate case resolution upon patient arrival.

Conclusions:

The developed model allows selection of the most advantageous Clostridium difficile testing algorithm for specific healthcare settings.
The recommended two-step algorithm significantly reduces unnecessary or missed isolations.
Optimized testing strategies improve cost-efficiency and minimize nosocomial infection risks.