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OpenTrials
Completed

NCT Number: NCT03461133

Automated Early Warning Scoring on Surgical Normal Wards

Establishment of early warning systems in hospitals was strongly recommended in recent guidelines to detect deteriorating patients early and direct them to adequate care. Upon meeting of predefined trigger criteria Medical Emergency Teams (MET) should be directed to these patients. The present study analyses the effect of introduction of an automated early warning and trigger system on two peripheral wards hosting a highly complex surgical patient cohort.

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Key information

Sex eligibility

All sexes

Study type

Observational

Primary location

University Hospital Dresden

Dresden, D-01307, Germany

About this study

The deployment of an electronic monitoring and notification system is accompanied by data acquisition over 12 months (intervention) using four routine databases: Hospital patient data management, anesthesia database, local data of the German Resuscitation Registry, and measurement logs of the automated patient monitoring and alert system (intervention period only). A preceding time period of 12 months served as control.

Who can participate

Healthy volunteers accepted: No

Only the study team can determine whether someone qualifies for participation.

Inclusion criteria

  • Admission to one of the participating wards

Exclusion criteria

  • none

Treatment and study plan

Intervention

Other

The emergency notification system is linked to a paging system to the surgeon in charge and to the Hospital Medical Emergency Team. Depending on individual Multiparameter Early Warning Score communication protocols are activated.

Other names: Automated early warning score and notification system

Primary outcomes

  1. In hospital cardiac arrests

    Time frame: on average 14 days per patient, cumulative over 12 months in each observed cohort

    Patient cardiac arrests during stay

Sponsors and collaborators

Lead sponsor

University Hospital Carl Gustav Carus

Other

Registry information

Official study title

Detection of Deteriorating Patients on Peripheral Surgical Wards by an Automated Notification System

Important dates

Study start
2015
Primary completion
2017
Study completion
2018
First posted
Mar 9, 2018
Registry last updated
Mar 9, 2018

OpenTrials presents study information sourced from ClinicalTrials.gov. The official registry record should be consulted for the latest information.

View the official ClinicalTrials.gov record (opens in a new tab)

This listing is for discovery and informational purposes only. It is not medical advice, does not guarantee that a study is recruiting, and does not determine eligibility. Contact the study team and a qualified healthcare professional when considering participation.

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