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Status unknownNCT04399109ReCOVERUpdated May 22, 2020

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

An interventional study of TCC-COVID mHealth solution in COVID, sponsored by Dr Sze-Yuan Ooi. Status unknown at 3 sites in Australia. Open to participants aged 18 Years and older. Per ClinicalTrials.gov, last updated 2020-05-22.

Sponsored by Dr Sze-Yuan Ooi · Not applicable, Interventional, and Supportive care

The sponsor has not verified this record recently (last verified May 2020), so the status shown — last known as Recruiting — may be out of date.
Phase
Not applicable
Study type
Interventional
Enrollment
2,000
Allocation
Non-randomized
Ages
18 Years and older
Sex
All
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Study summary

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.

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Conditions studied

  • COVID

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03

In context

COVID-19

7,640 studies on the registry are indexed under COVID-19; 488 are open to participants now.

This study's planned enrollment of 2,000 is above the median of 100 across 4,099 interventional studies indexed under COVID-19.

Browse COVID-19 studies →

Lead sponsor

This is the only study on the registry with Dr Sze-Yuan Ooi as lead sponsor.

Counted across the registry records on this site, refreshed daily.

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Who can participate

Ages eligible
18 Years and older
Sexes eligible
All
Accepts healthy volunteers
No

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

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
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Study design

Phase
Not applicable
Primary purpose
Supportive care
Allocation
Non-randomized
Intervention model
Parallel assignment
Masking
None (open label)
Enrollment
2,000 participants (estimated)

Study arms

  • 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.

    Device: TCC-COVID mHealth solution

  • 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

Interventions

  • DeviceTCC-COVID mHealth solution

    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.

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What researchers measure

Primary outcomes

  1. Rate of avoidable Emergency Department presentations per diagnosed COVID-19 case

    Definition based on potentially avoidable general practitioner-type presentations as specified in the National Healthcare

    Time frame: 12 months

  2. All cause mortality per diagnosed COVID-19 case All-cause mortality rate at 30 days per diagnosed COVID-19 case

    Time frame: 30 days

Secondary outcomes

  1. Rate of hospital admission per diagnosed COVID case

    Data linkage to patient medical records

    Time frame: 12 months

  2. Rate of MBS claims for un-referred visits to general practitioners and analogous COVID-19 MBS telehealth items per diagnosed COVID case

    Data linkage to MBS database and patient medical records

    Time frame: 12 months

  3. Average length of stay (LOS) for admitted patients per diagnosed COVID case

    Data linkage to patient medical records

    Time frame: 12 months

  4. Rate of admission to Intensive Care Unit (ICU) for admitted patients per diagnosed COVID case

    Data linkage to patient medical records

    Time frame: 12 months

  5. Time from presentation to admission to ICU for patients admitted to ICU per diagnosed COVID case

    Data linkage to patient medical records

    Time frame: 12 months

  6. Rate of intubation in admitted patients per diagnosed COVID case

    Data linkage to patient medical records

    Time frame: 12 months

  7. Rate of readmission within 30 days of discharge in admitted patients per diagnosed COVID case

    Data linkage to patient medical records

    Time frame: 30 days

  8. All-cause mortality at 90 days per diagnosed COVID case

    Time frame: 90 days

  9. Rate of avoidable Emergency Department presentations with COVID-19 diagnosis per 100,000 population, during trial period

    Data linkage to patient medical records

    Time frame: 12 months

  10. Rate of hospital admission with COVID-19 diagnosis per 100,000 population, during trial period

    Data linkage to patient medical records

    Time frame: 12 months

  11. Rate of admission to ICU with COVID-19 diagnosis per 100,000 population during trial period

    Data linkage to patient medical records

    Time frame: 12 months

  12. Rate of mortality with COVID-19 cause of death per 100,000 population, during trial period

    Data linkage to patient medical records

    Time frame: 12 months

  13. Qualitative assessment of TCC-COVID app usability via a subjective feedback questionnaire provided to all patients enrolled in the study.

    The feedback questionnaire was designed specifically for this study.

    Time frame: 12 months

  14. Cost-effectiveness of TCC-COVID by measuring the incremental cost per death averted, per ICU admission averted and per length of stay in ICU

    From NSW Health data linkage

    Time frame: 12 months

  15. Rate of hospital bed days with COVID-19 diagnosis per 100,000 population, during trial period

    Data linkage to patient medical records

    Time frame: 12 months

  16. Rate of ICU bed days with COVID-19 diagnosis per 100,000 population, during trial period

    Data linkage to patient medical records

    Time frame: 12 months

  17. Qualitative assessment of KIOLA physician portal usability via a subjective feedback questionnaire

    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.

    Time frame: 12 months

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Study locations

3 of 3 sites recruiting
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References and documents

Individual participant data

Plan to share: No

No publications or documents are linked to this record.

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Updates

Tracking since Sep 25, 2026
No changes since tracking began. The registry record was last updated on May 22, 2020, before this site started recording changes on Sep 25, 2026. Its history is on ClinicalTrials.gov ↗
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Registry details

Key details

Study ID
NCT04399109
Lead sponsor
Dr Sze-Yuan Ooi
Collaborators
The University of New South Wales, The George Institute, South Eastern Sydney Local Health District
Responsible party
Dr Sze-Yuan Ooi (Director, Coronary Care Unit and Senior Staff Cardiologist, Prince of Wales Hospital, Sydney) — Sponsor-investigator
First posted
May 22, 2020
Start date
May 20, 2020
Primary completion
May 19, 2021 (estimated)
Completion
May 19, 2021 (estimated)
Last update
May 22, 2020

Study contacts

Sze-Yuan Ooi
Contact
SzeYuan.Ooi@ehc.com.au
+61293820700
Nigel Lovell
Contact
n.lovell@unsw.edu.au
+61293858100
Sze-Yuan Ooi
principal investigator · Prince of Wales Hospital

Oversight

Data monitoring committee
Yes
FDA-regulated drug
No
FDA-regulated device
No
View the source record on ClinicalTrials.gov ↗

Not currently enrolling

This study is status unknown, as verified in May 2020. You cannot join it, but the record below documents what was studied.

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