Coronavirus
Conditions
Keywords
coronavirus, remote monitoring, deterioration, escalation
Brief summary
The study aims to see if participant deterioration due to suspected coronavirus in a designated location (e.g. hotel) can be identified sooner by wearing the sensor. If sick patients can be identified early, participants are more likely to have better outcomes; the study believes that the sensor can help us do this. The sensor measures heart rate, respiratory rate and temperature every 2 minutes and this can be reviewed by the clinical team looking after the participants.
Interventions
DEVICESensiumVitals wearable sensor
A waterproof, light, wearable sensor measuring vital signs (heart rate, respiratory rate, temperature) continuously.
Sponsors
CW+ Charity
Imperial College London
Study design
Observational model
COHORT
Time perspective
PROSPECTIVE
Eligibility
Sex/Gender
ALL
Age
18 Years to 95 Years
Healthy volunteers
No
Inclusion criteria
* Aged 18 years or over. * Able to provide written consent.
Exclusion criteria
* Any participants that withdraw their consent. * A skin condition/reaction preventing wearing the wearable sensor. * The presence of a permanent pacemaker or cardiac defibrillator. * 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.
Design outcomes
Primary
| Measure | Time frame | Description |
|---|---|---|
| Deterioration Resulting in Healthcare Review | 1 year | Detection of clinical deterioration using wearable sensors resulting in healthcare review (e.g. GP telephone consultation) |
Secondary
| Measure | Time frame | Description |
|---|---|---|
| Hospitalisation | 1 year | Deterioration resulting in hospitalisation |
Countries
United Kingdom
Participant flow
Participants by arm
| Arm | Count |
|---|---|
| Wearable Sensor All participants had a wearable sensor applied | 14 |
| Total | 14 |
Withdrawals & dropouts
| Period | Reason | FG000 |
|---|---|---|
| Overall Study | Withdrawal by Subject | 1 |
Baseline characteristics
| Characteristic | Wearable Sensor | — |
|---|---|---|
| Age, Continuous | 34.9 years STANDARD_DEVIATION 11 | — |
| Race and Ethnicity Not Collected | — | — Participants |
| Sex: Female, Male Female | 7 Participants | — |
| Sex: Female, Male Male | 7 Participants | — |
Adverse events
| Event type | EG000 affected / at risk |
|---|---|
| deaths Total, all-cause mortality | 0 / 14 |
| other Total, other adverse events | 0 / 14 |
| serious Total, serious adverse events | 0 / 14 |
Outcome results
Primary
Deterioration Resulting in Healthcare Review
Detection of clinical deterioration using wearable sensors resulting in healthcare review (e.g. GP telephone consultation)
Time frame: 1 year
| Arm | Measure | Value (NUMBER) |
|---|---|---|
| Wearable Sensor | Deterioration Resulting in Healthcare Review | 10 alerts generated |
Secondary
Hospitalisation
Deterioration resulting in hospitalisation
Time frame: 1 year
| Arm | Measure | Value (COUNT_OF_PARTICIPANTS) |
|---|---|---|
| Wearable Sensor | Hospitalisation | 0 Participants |