markdownabstract__Objectives:__ To assess the impact of a clinical decision model for febrile children at risk for serious bacterial infections (SBI) attending the emergency department (ED). __Methods:__ Randomized controlled trial with 439 febrile children, aged 1 month-16 years, attending the pediatric ED of a Dutch university hospital during 2010-2012. Febrile children were randomly assigned to the intervention (clinical decision model; n=219) or the control group (usual care; n=220). The clinical decision model included clinical symptoms, vital signs, and C-reactive protein and provided high/low-risks for "pneumonia" and "other SBI". Nurses were guided by the intervention to initiate additional tests for high-risk children. The clini...
Funding Information: Funding This project has received funding from the European Union’s Horizon 202...
OBJECTIVE To externally validate and update the Feverkids tool clinical prediction model for diff...
textabstractObjective: To assess compliance with a clinical decision support system (CDSS) for diagn...
<div><p>Objectives</p><p>To assess the impact of a clinical decision model for febrile children at r...
Objectives To assess the impact of a clinical decision model for febrile children at risk for seriou...
Objectives To assess the impact of a clinical decision model for febrile children at risk for seriou...
BACKGROUND: Improving the diagnosis of serious bacterial infections (SBIs) in the children's emergen...
textabstractObjective: To derive, cross validate, and externally validate a clinical prediction mode...
Despite fewer serious infections presenting to the children's emergency department (ED), hospital ad...
Background: Discriminating viral from bacterial lower respiratory tract infections (LRTIs) in childr...
Background: Discriminating viral from bacterial lower respiratory tract infections (LRTIs) in childr...
Objective: To externally validate and update the Feverkids tool clinical prediction model for differ...
BACKGROUND:Optimising the use of antibiotics is a key component of antibiotic stewardship. Respirato...
This research project aimed to safely reduce antibiotic prescriptions in children under five suspec...
Objectives: To evaluate current processes by which young children presenting with a febrile illness ...
Funding Information: Funding This project has received funding from the European Union’s Horizon 202...
OBJECTIVE To externally validate and update the Feverkids tool clinical prediction model for diff...
textabstractObjective: To assess compliance with a clinical decision support system (CDSS) for diagn...
<div><p>Objectives</p><p>To assess the impact of a clinical decision model for febrile children at r...
Objectives To assess the impact of a clinical decision model for febrile children at risk for seriou...
Objectives To assess the impact of a clinical decision model for febrile children at risk for seriou...
BACKGROUND: Improving the diagnosis of serious bacterial infections (SBIs) in the children's emergen...
textabstractObjective: To derive, cross validate, and externally validate a clinical prediction mode...
Despite fewer serious infections presenting to the children's emergency department (ED), hospital ad...
Background: Discriminating viral from bacterial lower respiratory tract infections (LRTIs) in childr...
Background: Discriminating viral from bacterial lower respiratory tract infections (LRTIs) in childr...
Objective: To externally validate and update the Feverkids tool clinical prediction model for differ...
BACKGROUND:Optimising the use of antibiotics is a key component of antibiotic stewardship. Respirato...
This research project aimed to safely reduce antibiotic prescriptions in children under five suspec...
Objectives: To evaluate current processes by which young children presenting with a febrile illness ...
Funding Information: Funding This project has received funding from the European Union’s Horizon 202...
OBJECTIVE To externally validate and update the Feverkids tool clinical prediction model for diff...
textabstractObjective: To assess compliance with a clinical decision support system (CDSS) for diagn...