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CSAPG Early Warning Score (CEWS)

C

Consorci Sanitari de l'Alt Penedès i Garraf

Status

Completed

Conditions

Undefined

Treatments

Other: usual clinical care
Other: EWS

Study type

Interventional

Funder types

Other

Identifiers

NCT04905095
CSAPG-11

Details and patient eligibility

About

The Early Warning Score (EWS) has been shown in previous studies to be correlated with mortality and mean hospital stay, but it is unknown whether the implementation of the scale improves mortality and mean hospital stay.

This trial aims to study whether the implantation of the EWS in a regional hospital reduces the mean hospital stay (primary objective), mortality and complications (secondary objectives).

For this, an open clinical trial will be carried out in which the hospitalization floors of the hospital will be administratively divided into two sections (two study branches); the EWS scale will be implemented in the computer equipment of one of the sections of each floor, acting the another section as a control branch.

All the patients admitted to the participating hospital floors during one year will be included in the study. The mean stay, mortality and complications will be compared between study branches.

Enrollment

15,998 patients

Sex

All

Volunteers

No Healthy Volunteers

Inclusion criteria

  • Patients admitted during study period to the participant hospital units.

Exclusion criteria

  • None

Trial design

Primary purpose

Supportive Care

Allocation

Non-Randomized

Interventional model

Parallel Assignment

Masking

None (Open label)

15,998 participants in 2 patient groups

EWS
Experimental group
Description:
Early Warning Score will be implemented in the computer system of the nursing station
Treatment:
Other: EWS
Control
Active Comparator group
Description:
Nursing supervision will be carried out in the usual way.
Treatment:
Other: usual clinical care

Trial contacts and locations

1

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Central trial contact

Alejandro Rodríguez-Molinero, Dr; Noemí Casaponsa

Data sourced from clinicaltrials.gov

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