Evaluation of a Remote Monitoring Smartphone Application and Care Model of COVID-19 Patients in the Community (ReCOVER) (ReCOVER)

May 21, 2020 updated by: Dr Sze-Yuan Ooi

ReCOVER (Remote COVID-19 Evaluation and Response): a Prospective Non-randomised Controlled Trial to Evaluate the Effect of a Novel Smartphone Application-centric Model of Care for the Remote Monitoring of COVID-19 Patients in the Community.

This is a multi-site, prospective, non-randomised trial assessing the implementation of a smartphone application-based model of care for patients with COVID-19 infection managed in community isolation. We will recruit 2000 COVID +ve patients aged 18 years and over who are managed at home. The objective will be to describe the rates of avoidable presentations to ED and 30 day all case mortality per diagnosed COVID-19 case and to compare these to a propensity matched and synthetic control group.

Study Overview

Status

Unknown

Conditions

Intervention / Treatment

Study Type

Interventional

Enrollment (Anticipated)

2000

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

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

18 years and older (Adult, Older Adult)

Accepts Healthy Volunteers

No

Genders Eligible for Study

All

Description

Inclusion Criteria:

  1. Age greater or equal to 18 years
  2. Able to provide informed consent
  3. Proven diagnosis of COVID-19 based on positive virology testing
  4. Patients who are being managed at home OR those who are being discharged from hospital for ongoing home-based care in isolation.
  5. Access to a smartphone or device that is compatible with the TCC-COVID app

    • Any iPhone or iPad running iOS 9 or above (essentially any iPhone 5 or above)
    • Any Android phone that is operating Android 7.0 or above
  6. Speaks adequate English

Exclusion Criteria:

  1. Patient meets clinical criteria for hospital-based care.
  2. Inability to use the TCC-COVID app and pulse oximeter due to reasons including but not limited to:

    • Cognitive impairment
    • Impaired dexterity
    • Visual impairment
    • Language barrier
  3. Patient residing outside the SESLHD catchment area during their period of isolation

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: Non-Randomized
  • Interventional Model: Parallel Assignment
  • Masking: None (Open Label)

Arms and Interventions

Participant Group / Arm
Intervention / Treatment
Active Comparator: TCC-COVID mHealth solution
TCC-COVID is an app-based model of care which includes a smartphone app and a pulse oximeter that measures oxygen saturation, pulse rate and collects symptoms, connected to a back-end clinical database with inbuilt data analytics.
Patients place their index finger in the pulse oximeter to measure their oxygen saturation and pulse rate twice a day, which will take approximately 5 minutes each time. Patients then enter the results into the TCC-COVID app twice daily, and complete a symptom questionnaire via the TCC-COVID app once daily, which will take approximately 5 minutes. The symptom questionnaire was designed specifically for this study. The measurements and information are directly connected to a clinician interface (KIOLA database) which provides the data of all patients in aggregate and an easy to use responsive format with customisable alerts. The alerts identify if the oxygen saturation levels are low or the pulse rate is out of range. The alerts also identify if a measurement has not been completed in a timely manner and the central monitoring service will contact the patient to check on their safety or if they are experiencing any technical issues. The overall duration of participation will be 14 days.
No Intervention: Control
Propensity matched and synthetic control groups will be utilised from another local health district not participating in the ReCOVER study. The control group will not be actively recruited at the same time as the intervention. The control group will be matched via data linkage at the completion of the trial. However, it is not a historical control, as the control standard of care treatment will be provided simultaneously as our intervention

What is the study measuring?

Primary Outcome Measures

Outcome Measure
Measure Description
Time Frame
Rate of avoidable Emergency Department presentations per diagnosed COVID-19 case
Time Frame: 12 months
Definition based on potentially avoidable general practitioner-type presentations as specified in the National Healthcare
12 months
All cause mortality per diagnosed COVID-19 case All-cause mortality rate at 30 days per diagnosed COVID-19 case
Time Frame: 30 days
30 days

Secondary Outcome Measures

Outcome Measure
Measure Description
Time Frame
Rate of hospital admission per diagnosed COVID case
Time Frame: 12 months
Data linkage to patient medical records
12 months
Rate of MBS claims for un-referred visits to general practitioners and analogous COVID-19 MBS telehealth items per diagnosed COVID case
Time Frame: 12 months
Data linkage to MBS database and patient medical records
12 months
Average length of stay (LOS) for admitted patients per diagnosed COVID case
Time Frame: 12 months
Data linkage to patient medical records
12 months
Rate of admission to Intensive Care Unit (ICU) for admitted patients per diagnosed COVID case
Time Frame: 12 months
Data linkage to patient medical records
12 months
Time from presentation to admission to ICU for patients admitted to ICU per diagnosed COVID case
Time Frame: 12 months
Data linkage to patient medical records
12 months
Rate of intubation in admitted patients per diagnosed COVID case
Time Frame: 12 months
Data linkage to patient medical records
12 months
Rate of readmission within 30 days of discharge in admitted patients per diagnosed COVID case
Time Frame: 30 days
Data linkage to patient medical records
30 days
All-cause mortality at 90 days per diagnosed COVID case
Time Frame: 90 days
90 days
Rate of avoidable Emergency Department presentations with COVID-19 diagnosis per 100,000 population, during trial period
Time Frame: 12 months
Data linkage to patient medical records
12 months
Rate of hospital admission with COVID-19 diagnosis per 100,000 population, during trial period
Time Frame: 12 months
Data linkage to patient medical records
12 months
Rate of admission to ICU with COVID-19 diagnosis per 100,000 population during trial period
Time Frame: 12 months
Data linkage to patient medical records
12 months
Rate of mortality with COVID-19 cause of death per 100,000 population, during trial period
Time Frame: 12 months
Data linkage to patient medical records
12 months
Qualitative assessment of TCC-COVID app usability via a subjective feedback questionnaire provided to all patients enrolled in the study.
Time Frame: 12 months
The feedback questionnaire was designed specifically for this study.
12 months
Cost-effectiveness of TCC-COVID by measuring the incremental cost per death averted, per ICU admission averted and per length of stay in ICU
Time Frame: 12 months
From NSW Health data linkage
12 months
Rate of hospital bed days with COVID-19 diagnosis per 100,000 population, during trial period
Time Frame: 12 months
Data linkage to patient medical records
12 months
Rate of ICU bed days with COVID-19 diagnosis per 100,000 population, during trial period
Time Frame: 12 months
Data linkage to patient medical records
12 months
Qualitative assessment of KIOLA physician portal usability via a subjective feedback questionnaire
Time Frame: 12 months
Completed by all physicians and research nurses entering data into the portal and monitoring patients throughout the study. The feedback questionnaire was designed specifically for this study.
12 months

Collaborators and Investigators

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

Sponsor

Investigators

  • Principal Investigator: Sze-Yuan Ooi, Prince of Wales 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)

May 20, 2020

Primary Completion (Anticipated)

May 19, 2021

Study Completion (Anticipated)

May 19, 2021

Study Registration Dates

First Submitted

May 21, 2020

First Submitted That Met QC Criteria

May 21, 2020

First Posted (Actual)

May 22, 2020

Study Record Updates

Last Update Posted (Actual)

May 22, 2020

Last Update Submitted That Met QC Criteria

May 21, 2020

Last Verified

May 1, 2020

More Information

Terms related to this study

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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