Evidence map›Paper›PMID 38666251›Full record

ArticleResuscitation plus2024

Bystander interaction with a novel multipurpose medical drone: A simulation trial.

Thomas Leith, Jason A Correll, Emma E Davidson, Adam L Gottula, Noor K Majhail, Emily J Mathias, James Pribble, Nathan B Roberts, Isabella G Scott, James A Cranford and 3 more

Open access · goldAbstract read
In one paragraph

Article in Resuscitation plus, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
4.1field-weighted citation impact, top 7% 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

1 citing paper in PubMed, 6 citations in OpenAlex.

  1. Review
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

13 authors at 2 institutions in 1 country.

Thomas LeithDepartment of Emergency Medicine, University of Massachusetts, 55 Lake Street, Worcester, MA 01604, United States.
Jason A CorrellUniversity of Michigan Medical School, 1515 E Medical Center Dr, Ann Arbor, MI 48109, United States.
Emma E DavidsonUniversity of Michigan School of Nursing, 426 North Ingalls Street, Ann Arbor, MI 48109, United States.
Adam L GottulaDepartment of Emergency Medicine, University of Michigan Medical School, 1500 East Medical Center Drive, Ann Arbor, MI 48109, United States.
Noor K MajhailCollege of Literature, Science and the Arts, University of Michigan, 500 S State St, Ann Arbor, MI 48109, United States.
Emily J MathiasDepartment of Emergency Medicine, University of Michigan Medical School, 1500 East Medical Center Drive, Ann Arbor, MI 48109, United States.
James PribbleDepartment of Emergency Medicine, University of Michigan Medical School, 1500 East Medical Center Drive, Ann Arbor, MI 48109, United States.
Nathan B RobertsDepartment of Emergency Medicine, University of Michigan Medical School, 1500 East Medical Center Drive, Ann Arbor, MI 48109, United States.
Isabella G ScottCollege of Literature, Science and the Arts, University of Michigan, 500 S State St, Ann Arbor, MI 48109, United States.
James A CranfordDepartment of Emergency Medicine, University of Michigan Medical School, 1500 East Medical Center Drive, Ann Arbor, MI 48109, United States.
Laura R HopsonDepartment of Emergency Medicine, University of Michigan Medical School, 1500 East Medical Center Drive, Ann Arbor, MI 48109, United States.
Nathaniel HuntDepartment of Emergency Medicine, University of Michigan Medical School, 1500 East Medical Center Drive, Ann Arbor, MI 48109, United States.
Christine M BrentDepartment of Emergency Medicine, University of Michigan Medical School, 1500 East Medical Center Drive, Ann Arbor, MI 48109, United States.
University of Michigan · USUniversity of Massachusetts Chan Medical School · US

Funding

Michigan Institute for Clinical and Health Research (MICHR)UL1TR002240 · NCATS · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI LUMENG, JULIE C, MASHOUR, GEORGE ALEXANDER · 2017 to 2022
$54.9M
NCATS NIH HHS UL1 TR002240
6 · The paper itself

Abstract

Intro: Medical drones are an emerging technology which may facilitate rapid treatment in time-sensitive emergencies. However, drones rely on lay rescuers, whose interactions with multipurpose medical drones have not been studied, and the optimal drone design remains unclear. Methods: We conducted 24 simulations of adult out-of-hospital cardiac arrest (OHCA) and pediatric anaphylaxis with a prototype drone equipped with spoken and visual cues and a multipurpose medical kit. 24 layperson volunteers encountered one of the two scenarios and were supported through administering treatment by a simulated 911 dispatcher. Bystander-drone interactions were evaluated via a convergent parallel mixed methods approach using surveys, video event review, and semi-structured interviews. Results: 83% (20/24) of participants voiced comfort interacting with the drone. 96% (23/24) were interested in future interaction. Participants appreciated the drone's spoken instructions but found visual cues confusing. Participants retrieved the medical kit from the drone in a mean of 5 seconds (range 2-14) of drone contact; 79% (19/24) found this step easy or very easy. The medical kit's layered design caused difficulty in retrieving appropriate equipment. Participants expressed a wide range of reactions to the unique drone design. Conclusions: Laypeople can effectively and comfortably interact with a medical drone with a novel design. Feedback on design elements will result in further refinements and valuable insights for other drone designers. A multipurpose medical kit created more challenges and indicates the need for further refinement to facilitate use of the equipment.

Indexed as

AnaphylaxisBystander CPRDronesEmergency Medical ServicesOut of Hospital Cardiac Arrest

Identifiers

PMID38666251
PMCPMC11043843
OpenAlexW4394865808

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.