Post-market Observation of a Wireless Vital Sign Monitor for Hospitalized Newborns in Kenya

November 13, 2023 updated by: Assumpta Solome Nantume

Evaluating the Clinical Impact and Cost-effectiveness of a Wireless Vital Sign Monitor for Hospitalized Newborns in Kenya

The goal of this study is to measure the clinical impact and cost-effectiveness of a wireless vital signs monitor, neoGuard, for hospitalized newborns at a tertiary healthcare facility in Kenya. The main questions it aims to answer are:

  1. Does the neoGuard vital signs monitor detect meaningful vital sign changes in hospitalized newborns?
  2. Does the neoGuard vital signs monitor generate valid signals to trigger a timely response from nurses?
  3. Is the neoGuard vital signs monitor associated with improved patient outcomes and lower mortality?
  4. What is the cost-effectiveness of the neoGuard vital signs monitor in comparison to the standard-of-care monitoring system? Participants will be enrolled within the first 24 hours of admission and monitored for a period of 7 consecutive days or until they are discharged (whichever comes sooner).

The study will consist of an intervention group and a comparison group. Researchers will compare nurses' response time to patients in distress, newborn complication rates and treatment outcomes between the two groups.

Study Overview

Status

Recruiting

Detailed Description

This is an interrupted time series study conducted at the Moi Teaching and Referral Hospital (MTRH) neonatal ward between April 2022 and June 2023. Our study participants comprise of newborn patients admitted at MTRH during that period. The MTRH neonatal ward is arranged in 8 sub-units which comprise our comparison sub-groups. Newborns admitted from April-November 2022 comprise the pre-intervention arm and are not exposed to neoGuard, but receive existing standard-of-care vital sign monitoring.

In December 2022, neoGuard was installed in 4 sub-units (intervention group), while the remaining 4 sub-units (comparison group) continued to use standard-of-care monitoring.

The measurement of effectiveness will be performed at three levels: (1) device's ability to detect abnormal physiological signals and provide alerts/alarms that notify the nurses to check on a patient's status and; (2) alarms/alerts from level one that resulted in a necessary intervention being administered to the patient (valid alarms), versus all the alarms/alerts that did not necessitate an intervention (invalid alarms); (3) the month-to-month difference in newborn complication rates and treatment outcomes between the intervention group and comparison group.

Medical staff who interact with neoGuard will participate in user surveys at the end of the intervention period to capture user experience and perceptions on feasibility and sustainability.

Study Type

Observational

Enrollment (Estimated)

3000

Contacts and Locations

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

Study Contact

Study Contact Backup

Study Locations

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

1 second to 4 weeks (Child)

Accepts Healthy Volunteers

No

Sampling Method

Non-Probability Sample

Study Population

The study population consists of newborns aged 0-28 days admitted to the neonatal ward at MTRH between April 2022-June 2023.

Description

Inclusion Criteria:

  • Must be admitted to one of the subunits assigned to receive the intervention (i.e., APU category A or B, the HDU-1 or HDU-2)
  • The newborn's parent/guardian must provide informed consent to use the neoGuard system on their newborn.

Exclusion Criteria:

  • Assessed to have congenital anomalies that are incompatible with life
  • Receiving palliative care
  • Patients undergoing phototherapy
  • Those with open head injuries/lacerations
  • Those receiving treatment that might interfere with application of the neoGuard device

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

Cohorts and Interventions

Group / Cohort
Intervention / Treatment
Intervention Group
The intervention group consists of patients admitted to the 4 neonatal subunits where neoGuard was installed: the preterm units (category A and category B), and the high dependence units (HDU-1 and HDU-2).

The neoGuard device is a 4-in-1 wearable vital signs monitor developed by Neopenda, PBC (Chicago, Illinois). The system is designed to continuously measure temperature, pulse rate (PR), respiratory rate (RR) and blood oxygen saturation (SpO2). It contains two non-invasive sensors: an optical reflectance pulse oximeter and a digital temperature sensor. These sensors measure signals from the surface of the patient's skin, and algorithms within the device calculate the pulse rate, respiratory rate, SpO2 and temperature.

The device is made of medical grade polyetherimide plastic and can be worn on the forehead through an adjustable band. The PR, RR, temperature and SpO2 data are collected, recorded and transmitted via Bluetooth Low Energy (BLE) to a tablet which can be placed within a range of 20-30 meter distance. The neoGuard technology has received CE mark certification and is also registered with the Kenya Pharmacy and Poisons Board (KPPB).

Comparison Group
The comparison group consists patients admitted 4 subunits where neoGuard was not installed: the neonatal intensive care unit (NICU), the KMC/category C room, the isolation room and the stable full-term room. These subunits will receive the standard-of-care/current practice, which consists of either a bedside cardiac monitor or intermittent monitoring every 3 hours using manual equipment such as hand-held pulse oximeters for pulse rate and oxygen saturation, digital axillary thermometers for temperature, and manual counting of breaths for respiratory rate.

What is the study measuring?

Primary Outcome Measures

Outcome Measure
Measure Description
Time Frame
Nurse's response time to patients in distress
Time Frame: Captured in real time through monitor logs, within a few seconds to minutes of the event
The time elapsed (in seconds) between the neoGuard alarm being triggered (distress signal) and the nurse attending to the patient
Captured in real time through monitor logs, within a few seconds to minutes of the event
Percentage of actionable alarms
Time Frame: Measured over a maximum period of 7 days for each patient
The overall proportion of alarms that are indicative of a true physiological change (distress signal) resulting in an intervention or treatment of the patient
Measured over a maximum period of 7 days for each patient

Secondary Outcome Measures

Outcome Measure
Measure Description
Time Frame
Incidence of patient complications
Time Frame: Through study completion, across 64 weeks
Bi-weekly change in the incidence of patient complications
Through study completion, across 64 weeks
In-hospital mortality
Time Frame: Through study completion, across 16 months
Month-to-month change in the incidence of in-hospital mortality
Through study completion, across 16 months
Frequency of key interventions
Time Frame: Through study completion, across 16 months
Month-to-month change in the frequency of key interventions administered (i.e., cPAP, supplemental oxygen, mechanical ventilation, antibiotic therapy)
Through study completion, across 16 months

Other Outcome Measures

Outcome Measure
Measure Description
Time Frame
Qualitative feedback from health providers
Time Frame: Once, at study completion
Nurses will be surveyed about their experience and perceptions of the technology
Once, at study completion

Collaborators and Investigators

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

Investigators

  • Principal Investigator: Festus Njuguna, MMed, Moi Teaching and Referral Hospital/Moi University

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)

November 28, 2022

Primary Completion (Actual)

June 30, 2023

Study Completion (Estimated)

November 30, 2023

Study Registration Dates

First Submitted

January 24, 2023

First Submitted That Met QC Criteria

February 11, 2023

First Posted (Actual)

February 15, 2023

Study Record Updates

Last Update Posted (Actual)

November 15, 2023

Last Update Submitted That Met QC Criteria

November 13, 2023

Last Verified

November 1, 2023

More Information

Terms related to this study

Other Study ID Numbers

  • FAN:0003994

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

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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