Not provided
Not provided
Not provided
Not provided
Not provided
Not provided
Not provided
Not provided
Not provided
Not provided
Not provided
Not provided
| Name | Class |
|---|---|
| University Health Network, Toronto | OTHER |
| Hamilton Health Sciences Corporation | OTHER |
Not provided
Not provided
Not provided
Not provided
The impact of the coronavirus disease (COVID)-19 pandemic on global healthcare systems has prompted a search for novel tools to stem the tide. New digital health tools can provide possible health solutions in this time of unprecedented medical crisis to mitigate the impact of this pandemic. This proof of concept study will determine the feasibility and effectiveness of implementing a mobile application for contactless screening and vital signs measurement (MAC-VITAL) such as blood pressure (BP), heart rate (HR), respiratory rate (RR), oxyhemoglobin saturation (SpO2), temperature from surgical patients peri-operatively. Contactless measurement of vital signs will bridge the current gap between virtual care and in-person medical assessments.
This study aims to determine whether a mobile app can accurately and reliably measure vital signs without any person to person contact, and the feasibility of implementing it in a peri-operative setting (e.g., during COVID-19). The validity and feasibility of the Anura™ Research app will be assessed during inpatient visits in preparation for and after surgery, and it will be compared with standard medical monitors.
Not provided
Not provided
Not provided
Not provided
Not provided
Not provided
| Label | Type | Description | Intervention Names |
|---|---|---|---|
| Perioperative patients | Patients undergoing perioperative assessment of vital signs. |
|
| Name | Type | Description | Arm Group Labels | Other Names |
|---|---|---|---|---|
| Contactless vital sign information collection | Device | Collection of facial blood flow and temperature information via conventional and infrared/thermal video of the face for the purpose of estimating vital signs using machine learning-based computational models. |
| Measure | Description | Time Frame |
|---|---|---|
| Systolic blood pressure difference from reference measurement (mmHg) | Assessed against standard clinical grade instrument: automated oscillometric blood pressure device (mmHg) | Perioperative |
| Diastolic blood pressure difference from reference measurement (mmHg) | Assessed against standard clinical grade instrument: automated oscillometric blood pressure device (mmHg) | Perioperative |
| Blood oxygenation (SpO2) difference from reference measurement (% oxyhemoglobin saturation) | Assessed against standard clinical grade instrument: Finger-based pulse oximeter (% oxyhemoglobin saturation) | Perioperative |
| Pulse rate difference from reference measurement (beats per minute) | Assessed against standard clinical grade instrument: Finger-based pulse oximeter (beats per minute) | Perioperative |
| Teperature difference from reference measurement (degrees Celsius) | Assessed against standard clinical grade instrument: Forehead digital thermometer (degrees Celsius) | Perioperative |
| Respiratory rate difference from reference measurement (breaths per minute) | Assessed against standard clinical grade instrument: Visual count of chest rise and fall (breaths per minute) | Perioperative |
| Obstacles to using the mobile application |
| Measure | Description | Time Frame |
|---|---|---|
| Detection rate of clinically meaningful changes of vital signs | Proportion of clinically meaningful vital sign changes detected postoperatively by the mobile application (relative to vital sign changes detected by standard clinical grade instruments). | Perioperative |
| Ease of use survey |
Not provided
Inclusion Criteria:
Exclusion Criteria:
Not provided
Not provided
Not provided
Not provided
Patients scheduled to undergo elective surgery under general and/or regional anesthesia.
| Name | Role | Phone | Extension | |
|---|---|---|---|---|
| Frances Chung, MBBS, FRCPC | Contact | (416) 670-4253 | Frances.Chung@uhn.ca |
| Name | Affiliation | Role |
|---|---|---|
| Frances Chung, MBBS, FRCPC | University Health Network, Toronto | Principal Investigator |
| Facility | Status | City | State | ZIP | Country | Contacts |
|---|---|---|---|---|---|---|
| Hamilton General Hospital (Hamilton Health Sciences) | Hamilton | Ontario | L8L 2X2 | Canada |
Not provided
Not provided
Not provided
Not provided
Characterization of obstacles to the implementation of the mobile app for perioperative vital sign measurements.
| Perioperative |
Visual analog scale for ease of use. |
| Perioperative |
| Satisfaction survey | Visual analog scale for satisfaction. | Perioperative |
| Study participation | Includes: Proportion of patients approached who join the study, proportion of patients who own a mobile phone | Perioperative |
| Compliance with measurement protocol | Includes: Proportion of patients who comply with the measurement protocol | Perioperative |
| Juravinski Hospital (Hamilton Health Sciences) | Hamilton | Ontario | L8V 1C3 | Canada |
|
| Toronto General Hospital | Toronto | Ontario | M5G 2C4 | Canada |
|
| Toronto Western Hospital, University Health Network | Toronto | Ontario | M5T 2S8 | Canada |
|