Acceptability of Telehealth Triage Using Robotic Systems in COVID-19
1 other identifier
observational
40
1 country
1
Brief Summary
The overall objective of this investigation is to understand the patient response to a robotic platform used to facilitate telehealth triage in the emergency department during the COVID-19 pandemic. The COVID-19 pandemic has altered the manner in which emergency department triage is completed. Attempts at cohorting individuals with potential COVID-19 disease in order to prevent disease transmission to healthcare workers and minimize the use of personal protective equipment (PPE) have renewed interest in telemedical solutions as a method to triage and manage individuals with COVID-19. This investigation deploys a legged robotic platform to facilitate agile, highly mobile telemedicine to manage COVID-19 patients in the emergency department. The primary objective is to measure the patient response to interacting with these systems.
Trial Health
Trial Health Score
Automated assessment based on enrollment pace, timeline, and geographic reach
participants targeted
Target at P25-P50 for all trials
Started Mar 2020
Shorter than P25 for all trials
1 active site
Health score is calculated from publicly available data and should be used for screening purposes only.
Trial Relationships
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Study Timeline
Key milestones and dates
Study Start
First participant enrolled
March 10, 2020
CompletedFirst Submitted
Initial submission to the registry
June 29, 2020
CompletedFirst Posted
Study publicly available on registry
June 30, 2020
CompletedPrimary Completion
Last participant's last visit for primary outcome
August 3, 2020
CompletedStudy Completion
Last participant's last visit for all outcomes
August 10, 2020
CompletedSeptember 21, 2022
September 1, 2022
5 months
June 29, 2020
September 16, 2022
Conditions
Outcome Measures
Primary Outcomes (3)
Acceptance of robotic telehealth system
Quantitative questionnaire on the acceptance of virtual robotic care graded on a likert scale (higher scores better)
Immediately after completion of triage
Willingness to interact with robotic telehealth system
Quantitative questionnaire on the willingness to use this system again based on a likert scale (higher scores better)
Immediately after completion of triage
Satisfaction of interacting with a robotic telehealth system
Quantitative questionnaire on the user satisfaction with their triage experience (How satisfied were you with your experience interacting with the robotic system today?)
Immediately after completion of triage
Secondary Outcomes (1)
Use of robotic system versus in-person triage
Immediately after completion of triage
Study Arms (1)
Intervention arm
Patients presenting to the emergency department are triaged using a novel robotic telehealth triage system. Once triage is complete, patients complete a quantitative assessment to measure their acceptance and willingness to interact with the robotic telehealth system.
Interventions
Robotic platform (Boston Dynamics) controlled by clinician with video interface to facilitate telemedicine triage
Eligibility Criteria
Emergency department patients
You may qualify if:
- Presenting to the emergency department for evaluation
- \> 18 years old
You may not qualify if:
- Brought to emergency department via ambulance
- \<18 years old
- non-english speaking
- in extremis, or unable to participate due to underlying acute medical condition
Contact the study team to confirm eligibility.
Sponsors & Collaborators
Study Sites (1)
Brigham and Women's Hospital
Boston, Massachusetts, 02115, United States
Related Publications (2)
Chai PR, Dadabhoy FZ, Huang HW, Chu JN, Feng A, Le HM, Collins J, da Silva M, Raibert M, Hur C, Boyer EW, Traverso G. Assessment of the Acceptability and Feasibility of Using Mobile Robotic Systems for Patient Evaluation. JAMA Netw Open. 2021 Mar 1;4(3):e210667. doi: 10.1001/jamanetworkopen.2021.0667.
PMID: 33662134RESULTHuang HW, Chen J, Chai PR, Ehmke C, Rupp P, Dadabhoy FZ, Feng A, Li C, Thomas AJ, da Silva M, Boyer EW, Traverso G. Mobile Robotic Platform for Contactless Vital Sign Monitoring. Cyborg Bionic Syst. 2022;2022:9780497. doi: 10.34133/2022/9780497. Epub 2022 Apr 30.
PMID: 35571871RESULT
MeSH Terms
Conditions
Condition Hierarchy (Ancestors)
Study Design
- Study Type
- observational
- Observational Model
- COHORT
- Time Perspective
- PROSPECTIVE
- Sponsor Type
- OTHER
- Responsible Party
- PRINCIPAL INVESTIGATOR
- PI Title
- Assistant Professor
Study Record Dates
First Submitted
June 29, 2020
First Posted
June 30, 2020
Study Start
March 10, 2020
Primary Completion
August 3, 2020
Study Completion
August 10, 2020
Last Updated
September 21, 2022
Record last verified: 2022-09