Validation Study on RENEW's Aingeal at KK Women's and Children's Hospital (RENEW)

October 8, 2024 updated by: Sng Ban Leong, KK Women's and Children's Hospital
This proposal describes the evaluation of a CE-marked, FDA cleared vital signs Surveillance Monitoring system within an adult in-patient setting KK Women's and Children's Hospital ("KKH"), the main tertiary women and children hospital in Singapore. User acceptance of Aingeal and the Surveillance System will be considered within the clinical settings.

Study Overview

Status

Active, not recruiting

Intervention / Treatment

Detailed Description

RENEW's Surveillance Monitoring system is made up of two main components: a patient-worn wireless vital signs monitor (Aingeal) that transmits data over Wi-Fi to a central station software platform (Surveillance Station). The Aingeal device measures single lead ECG, heart rate, respiration waveform and rate, and skin temperature. A snapshot of data is transmitted by the devices intermittently to the Surveillance Station, enabling vital signs trends to be plotted. If any heart, respiration rate or skin temperature values move outside of pre-defined high and low limits (individually set for each patient) an alert is raised. ECG arrhythmia detection algorithms automatically record and send ECG data if the patient is suspected to be experiencing an arrhythmia event (Asystole, Ventricular Fibrillation, Tachycardia or Bradycardia). This proposal describes the evaluation of RENEW's Aingeal device within an adult in-patient setting KK Women's and Children's Hospital ("KKH"), the main tertiary women and children hospital in Singapore. User acceptance of Aingeal and the Surveillance System will be considered within the clinical settings.

Study Type

Interventional

Enrollment (Actual)

39

Phase

  • Not Applicable

Contacts and Locations

This section provides the contact details for those conducting the study, and information on where this study is being conducted.

Study Locations

      • Singapore, Singapore, 229899
        • KK Women's and Children's Hospital

Participation Criteria

Researchers look for people who fit a certain description, called eligibility criteria. Some examples of these criteria are a person's general health condition or prior treatments.

Eligibility Criteria

Ages Eligible for Study

21 years to 70 years (Adult, Older Adult)

Accepts Healthy Volunteers

No

Description

Inclusion Criteria:

  • Adult female patients, aged 21 years or over
  • Patients admitted to post-operative gynaecological ward at KKH Women's and Children's Hospital, Singapore
  • Patients receiving opioid therapy via patient controlled analgesia (PCA)
  • Patients that are on electronic nursing charting
  • Patients that are on acute pain service monitoring

Exclusion Criteria:

  • Patients with active, implantable devices (such as a pacemaker or ICD)
  • Patients with any skin condition or injury affecting the electrode placement site
  • Patients that are pregnant (Heart Rate detection algorithm has not been designed to reject foetal heart rate)

Study Plan

This section provides details of the study plan, including how the study is designed and what the study is measuring.

How is the study designed?

Design Details

  • Primary Purpose: Supportive Care
  • Allocation: N/A
  • Interventional Model: Single Group Assignment
  • Masking: None (Open Label)

Arms and Interventions

Participant Group / Arm
Intervention / Treatment
Experimental: Aingeal
All patients will wear the Aingeal device as part of the vital sign monitoring with opioid delivery system at ward setting.
Each patient will be set up for monitoring on admission. Duration of opioid therapy for post-operative in-patients may range from 1-3 days. Once opioid therapy is no longer required, Aingeal monitoring will be ended and each patient would be encouraged to have at least 1 day Aingeal monitoring to be recorded during the study. De-identified log files will be extracted from the Surveillance Station and reprocessed to produce counts of the number of alarms raised during monitoring. A sample of the data will be reviewed to determine whether cardiac and respiratory alarms are defined as True or False, with an overall Alarm Rate per patient per day and False Positive Alarm Rate per patient per day derived. Vital sign trend graphs for each patient will be produced.

What is the study measuring?

Primary Outcome Measures

Outcome Measure
Measure Description
Time Frame
Overall Respiratory alarm rate per patient per day
Time Frame: 3-4 days (upon admission till 1-3 days after surgery)
De-identified log files will be extracted from the Surveillance Station and reprocessed to produce counts of the number of respiratory alarms raised during monitoring. A sample of the data will be reviewed against the nursing chart to determine whether respiratory alarms are defined as True or False, with an overall Alarm Rate per patient per day derived.
3-4 days (upon admission till 1-3 days after surgery)

Secondary Outcome Measures

Outcome Measure
Measure Description
Time Frame
Overall Cardiac alarm rate per patient per day
Time Frame: 3-4 days (upon admission till 1-3 days after surgery)
De-identified log files will be extracted from the Surveillance Station and reprocessed to produce counts of the number of cardiac alarms raised during monitoring. A sample of the data will be reviewed against the nursing chart to determine whether cardiac alarms are defined as True or False, with an overall Alarm Rate per patient per day derived.
3-4 days (upon admission till 1-3 days after surgery)
False positive Respiratory alarm rate per patient per day
Time Frame: 3-4 days (upon admission till 1-3 days after surgery)
De-identified log files will be extracted from the Surveillance Station and reprocessed to produce counts of the number of respiratory alarms raised during monitoring. A sample of the data will be reviewed against the nursing chart to determine whether respiratory alarms are defined as True or False, with False Positive Alarm Rate per patient per day derived.
3-4 days (upon admission till 1-3 days after surgery)
False positive Cardiac alarm rate per patient per day
Time Frame: 3-4 days (upon admission till 1-3 days after surgery)
De-identified log files will be extracted from the Surveillance Station and reprocessed to produce counts of the number of cardiac alarms raised during monitoring. A sample of the data will be reviewed against the nursing chart to determine whether cardiac alarms are defined as True or False, with False Positive Alarm Rate per patient per day derived.
3-4 days (upon admission till 1-3 days after surgery)

Collaborators and Investigators

This is where you will find people and organizations involved with this study.

Collaborators

Investigators

  • Study Director: Ban Leong Sng, FANZCA, KK Women's and Children's Hospital

Study record dates

These dates track the progress of study record and summary results submissions to ClinicalTrials.gov. Study records and reported results are reviewed by the National Library of Medicine (NLM) to make sure they meet specific quality control standards before being posted on the public website.

Study Major Dates

Study Start (Actual)

January 31, 2019

Primary Completion (Actual)

May 5, 2019

Study Completion (Estimated)

December 31, 2025

Study Registration Dates

First Submitted

November 20, 2018

First Submitted That Met QC Criteria

November 20, 2018

First Posted (Actual)

November 23, 2018

Study Record Updates

Last Update Posted (Actual)

October 9, 2024

Last Update Submitted That Met QC Criteria

October 8, 2024

Last Verified

October 1, 2024

More Information

Terms related to this study

Other Study ID Numbers

  • 2018/2223 (Women)

Plan for Individual participant data (IPD)

Plan to Share Individual Participant Data (IPD)?

NO

Drug and device information, study documents

Studies a U.S. FDA-regulated drug product

No

Studies a U.S. FDA-regulated device product

No

product manufactured in and exported from the U.S.

No

This information was retrieved directly from the website clinicaltrials.gov without any changes. If you have any requests to change, remove or update your study details, please contact register@clinicaltrials.gov. As soon as a change is implemented on clinicaltrials.gov, this will be updated automatically on our website as well.

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