Evidence map›Paper›PMID 38157145›Full record

Trial reportJournal of medical systems2023

Development of an Automated and Scalable Virtual Assistant to Aid in PPE Adherence: A Study with Implications for Applications within Anesthesiology.

Eric Plitman, Edward Kim, Rajesh Patel, Seema Kohout, Rongyu Jin, Vincent Chan, Michael Dinsmore

Abstract readRandomized Controlled Trial
PubMed Publisher
In one paragraph

Trial report in Journal of medical systems, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
0.2field-weighted citation impact, top 43% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed, 1 citations in OpenAlex.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

7 authors at 3 institutions in 2 countries.

Eric PlitmanTemerty Faculty of Medicine, University of Toronto, Toronto, ON, Canada.
Edward KimDepartment of Computer Sciences, Drexel University, Philadelphia, USA.
Rajesh PatelDepartment of Anesthesia and Pain Medicine, Toronto Western Hospital, University of Toronto, Toronto, ON, Canada.
Seema KohoutDepartment of Anesthesia and Pain Medicine, Toronto Western Hospital, University of Toronto, Toronto, ON, Canada.
Rongyu JinDepartment of Anesthesia and Pain Medicine, Toronto Western Hospital, University of Toronto, Toronto, ON, Canada.
Vincent ChanDepartment of Anesthesia and Pain Medicine, Toronto Western Hospital, University of Toronto, Toronto, ON, Canada.
Michael DinsmoreTemerty Faculty of Medicine, University of Toronto, Toronto, ON, Canada. Michael.Dinsmore@uhn.ca.
Toronto Western Hospital · CADrexel University · USUniversity of Toronto · CA

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Virtual assistants (VAs) are conversational agents that are able to provide cognitive aid. We developed a VA device for donning and doffing personal protective equipment (PPE) procedures and compared it to live human coaching to explore the feasibility of using VAs in the anesthesiology setting. An automated, scalable, voice-enabled VA was built using the Amazon Alexa device and Alexa Skills application. The device utilized voice-recognition technology to allow a touch-free interactive user experience. Audio and video step-by-step instructions for proper donning and doffing of PPE were programmed and displayed on an Echo Show device. The effectiveness of VA in aiding adherence to PPE protocols was compared to traditional human coaching in a randomized, controlled, single-blinded crossover design. 70 anesthesiologists, anesthesia assistants, respiratory therapists, and operating room nurses performed both donning and doffing procedures, once under step-by-step VA instructional guidance and once with human coaching. Performance was assessed using objective performance evaluation donning and doffing checklists. More participants in the VA group correctly performed the step of "Wash hands for 20 seconds" during both donning and doffing tests. Fewer participants in the VA group correctly performed the steps of "Put cap on and ensure covers hair and ears" and "Tie gown on back and around neck". The mean doffing total score was higher in the VA group; however, the donning score was similar in both groups. Our study demonstrates that it is feasible to use commercially available technology to create a voice-enabled VA that provides effective step-by-step instructions to healthcare professionals.

Indexed as

AnesthesiologyCross-Over StudiesHealth PersonnelHumansPersonal Protective EquipmentProtective ClothingSingle-Blind MethodAnesthesiologyCoachingCognitive aidOperating roomPPEVirtual Assistant

Identifiers

PMID38157145
OpenAlexW4390408033

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.