Evidence map›Paper›PMID 33145533›Full record

ArticleJournal of the American College of Emergency Physicians open2020

A novel measure for characterizing ultrasound device use and wear.

Hamid Shokoohi, Andrew Goldsmith, Kay Negishi, Jeffrey R Herrala, Eden Diamond, Sigmund Kharasch, Michael Blaivas, Andrew S Liteplo

Abstract read
In one paragraph

Article in Journal of the American College of Emergency Physicians open, 2020. 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
–field-weighted citation impact
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.

  1. A novel measure for characterizing ultrasound device use and wear.Journal of the American College of Emergency Physicians open · 2020
    Article
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

8 authors.

Hamid ShokoohiHarvard Medical School Massachusetts General Hospital Massachusetts Boston USA.ORCID https://orcid.org/0000-0002-1280-3594
Andrew GoldsmithHarvard Medical School Massachusetts General Hospital Massachusetts Boston USA.
Kay NegishiHarvard Medical School Massachusetts General Hospital Massachusetts Boston USA.
Jeffrey R HerralaHarvard Medical School Boston Massachusetts.
Eden DiamondHarvard Medical School Massachusetts General Hospital Massachusetts Boston USA.
Sigmund KharaschHarvard Medical School Massachusetts General Hospital Massachusetts Boston USA.
Michael BlaivasSt. Francis Hospital University of South Carolina School of Medicine Columbus Georgia.
Andrew S LiteploHarvard Medical School Massachusetts General Hospital Massachusetts Boston USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Point-of-care ultrasound (POCUS) equipment management is critical in optimizing daily clinical operations in emergency departments (EDs). Traditional consultative ultrasound laboratories are well practiced at operations management, but this is not the case for POCUS programs, because machine upgrade and replacement metrics have not been developed or tested. We present a data-driven method for assessment of POCUS equipment maintenance and replacement named the ULTrA (a data-driven approach to point-of-care ultrasound upgrade) score. This novel model of assessing each ultrasound machine by quantitative scoring in each of four mostly objective categories: use (U), likeability (L), trustworthiness (Tr), and age (A). We propose the ULTrA model as a method to identify underperforming devices which could be upgraded or eliminated, and to compare relative performance amongst a group of departmental ultrasound machines. This composite score may be a useful objective tool that could replace individual proxies for clinical effectiveness, such as age, use, or individual provider preference. Additional research in multiple centers would be needed to refine and validate the ULTrA score. Once fully developed, the ULTrA score could be deployed in EDs and other clinical settings where POCUS is used to help streamline resources to maintain a functional and state-of-the-art fleet of ultrasound machines over time.

Indexed as

machine maintenancemachine replacementpoint‐of‐care ultrasoundultrasound equipment safetyultrasound upgrade

Identifiers

PMID33145533
PMCPMC7593474

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.