Skip to content

Clinical Outcomes After Implementation of COntinuous Vital Sign Monitoring On the General Ward.

Clinical Outcomes After Implementation of Continuous Vital Sign Monitoring on the General Ward.

Status
Completed
Phases
Unknown
Study type
Observational
Source
ClinicalTrials.gov
Registry ID
NCT04189653
Acronym
COCOMO
Enrollment
3896
Registered
2019-12-06
Start date
2018-08-01
Completion date
2020-08-01
Last updated
2022-09-07

For informational purposes only — not medical advice. Sourced from public registries and may not reflect the latest updates. Terms

Conditions

Clinical Deterioration

Keywords

Early Warning Scores, Continuous Vital Sign Monitoring, Escalation of Care, ICU-Transfer, Deterioration prevention

Brief summary

In 2018, continuous monitoring (CM) of 5 vital signs with a wearable device, including automated MEWS calculation within the EMR were introduced on the surgical and internal medicine ward of our hospital. Rather than taking the measurements manually, this enabled the nurses to periodically validate the continuously derived vital signs at the protocolled moments, and simultaneously get an automatically calculated MEWS reading,. Moreover, continuous vital sign monitoring provides single channel alarms and trends of the vital signs in between the regular measurement moments. Compared to periodic manual measurements and registration in the EMR, the continuous vital sign monitoring and automated MEWS calculations in the EMR may result in better identification of clinical deterioration, and may improve clinical outcome. The primary objective of this study is to evaluate changes in total hospital and ward stay, Total Events during admission (rapid response team (RRT) calls and unexpected intensive care unit (uICU) admissions and deaths) after implementation of CM on the regular surgical and internal medicine wards. Secondary objective is to evaluate changes in MEWS scores at the moment of the uICU admissions, length of hospital, ward and ICU stay and the proportion of RRT calls that results in a ICU admission.

Interventions

Wireless continuous vital sign monitoring (HR, RR, SBP/DBP, SAT)

Sponsors

Radboud University Medical Center
Lead SponsorOTHER

Study design

Observational model
COHORT
Time perspective
RETROSPECTIVE

Eligibility

Sex/Gender
ALL
Age
18 Years to No maximum
Healthy volunteers
No

Inclusion criteria

* Admission on Inclusion ward.

Exclusion criteria

* Opt out of file study

Design outcomes

Primary

MeasureTime frameDescription
Unexpected Intensive Care Unit AdmissionsDuring ward admission, from moment of arival on ward till discharge or transfer, average of 4 days.Unexpected Intensive Care Unit Admissions
Rapid Response Team ActivationsDuring ward admission, from moment of arival on ward till discharge or transfer, average of 4 days.Rapid Response Team Activations

Secondary

MeasureTime frameDescription
Length of StayDuring ward, ICU and hospital admission, till discharge, transfer to other hospital or death. Average of 5 days.Length of stay on the ward, ICU and Hospital stay as whole

Countries

Netherlands

Outcome results

None listed

Source: ClinicalTrials.gov · Data processed: Feb 9, 2026