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OVER-COVID: Recovering From COVID

Sponsor
Imperial College London (Other)
Overall Status
Not yet recruiting
CT.gov ID
NCT05302960
Collaborator
(none)
50
Enrollment
12
Anticipated Duration (Months)

Study Details

Study Description

Brief Summary

Following the success of pilot data trialling a virtual community-based remote monitoring model, using Bluetooth enabled pulse oximeters, which demonstrated a saving of 300 bed spaces over a three week period,9 a nationwide expansion is set to be implemented through NHS Digital. Participants who were on the virtual wards approximately 12 weeks after their admission and those referred to long-COVID outpatient clinics will be approached.

There is a particular lack of understanding as to whether post-COVID syndrome constitutes a singular disease process. It has been suggested that the post-COVID syndrome may be characterised into either an acute or chronic subtype, depending on whether symptoms extend beyond 12 weeks following initial diagnosis.7,10 However, it is not currently understood as to whether chronic post-COVID is either an extension of acute post-COVID or is a separate disease subtype that carries a distinct risk profile.

However, there remains a paucity in the literature depicting the recovery experience, risk factors for the development of post-COVID syndrome, management strategies, and qualitative experiences. This study aims to address these gaps

Condition or Disease Intervention/Treatment Phase
  • Device: Fitbit

Study Design

Study Type:
Observational
Anticipated Enrollment :
50 participants
Observational Model:
Cohort
Time Perspective:
Prospective
Official Title:
Recovering From COVID: Community-based Remote Monitoring in COVID-19 (SARS-CoV 2) Cases: The OVER-COVID Study
Anticipated Study Start Date :
Apr 15, 2022
Anticipated Primary Completion Date :
Apr 15, 2023
Anticipated Study Completion Date :
Apr 15, 2023

Outcome Measures

Primary Outcome Measures

  1. Step count [up to 1 year]

    step count recorded from Fitbit devices

Eligibility Criteria

Criteria

Ages Eligible for Study:
18 Years and Older
Sexes Eligible for Study:
All

INCLUSION CRITERIA

  • Aged 18 years or over.

  • Able to provide written consent.

EXCLUSION CRITERIA

  • Any participants that withdraw their consent.

  • Any form of psychiatric disorder or a condition that, in the opinion of the investigator, may hinder communication with the research team.

  • Inability to cooperate or communicate with the research team.

Contacts and Locations

Locations

No locations specified.

Sponsors and Collaborators

  • Imperial College London

Investigators

None specified.

Study Documents (Full-Text)

None provided.

More Information

Publications

None provided.
Responsible Party:
Imperial College London
ClinicalTrials.gov Identifier:
NCT05302960
Other Study ID Numbers:
  • 21IC6755
First Posted:
Mar 31, 2022
Last Update Posted:
Mar 31, 2022
Last Verified:
Mar 1, 2022
Studies a U.S. FDA-regulated Drug Product:
No
Studies a U.S. FDA-regulated Device Product:
No
Keywords provided by Imperial College London
monitoring, ambulatory
vital signs
remote monitoring
Additional relevant MeSH terms:
COVID-19

Study Results

No Results Posted as of Mar 31, 2022