Evidence map›Paper›PMID 35395559›Full record

ArticleThe American journal of emergency medicine2022

Assessment of novel ICT-EMS systems to improve emergency patient transportation during the COVID-19 pandemic.

Jungju Lee, So Yeon Kong, Byung Woo Kim, Seung-Young Kim, Gwan-Jin Park, Hyun-Seok Chai, Young Min Kim, Suk Woo Lee, Sang-Chul Kim

Abstract read
In one paragraph

Article in The American journal of emergency medicine, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. 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

9 authors.

Jungju LeeDepartment of Emergency Medicine, Chungbuk National University Hospital, 776, 1st Sunhwan-ro, Seowon-gu, Cheongju-si, Chungcheongbuk-do 28646, South Korea; Department of Emergency Medicine, College of Medicine, Chungbuk National University, 1 Chungdae-ro, Seowongu, Cheongju-si, Chungcheongbuk-do 28646, South Korea.
So Yeon KongStrategic Research, Laerdal Medical, Tanke Svilandsgate 30, 4002 Stavanger, Norway.
Byung Woo KimDepartment of Paramedic Science, Korea National University of Transportation, 61, daehak-ro, Jeungpyeong-gun, Chungcheongbuk-do 27909, South Korea.
Seung-Young KimDepartment of Management Information System, Korea National University of Transportation, 61, daehak-ro, Jeungpyeong-gun, Chungcheongbuk-do, 27909, South Korea.
Gwan-Jin ParkDepartment of Emergency Medicine, Chungbuk National University Hospital, 776, 1st Sunhwan-ro, Seowon-gu, Cheongju-si, Chungcheongbuk-do 28646, South Korea; Department of Emergency Medicine, College of Medicine, Chungbuk National University, 1 Chungdae-ro, Seowongu, Cheongju-si, Chungcheongbuk-do 28646, South Korea.
Hyun-Seok ChaiDepartment of Emergency Medicine, Chungbuk National University Hospital, 776, 1st Sunhwan-ro, Seowon-gu, Cheongju-si, Chungcheongbuk-do 28646, South Korea.
Young Min KimDepartment of Emergency Medicine, Chungbuk National University Hospital, 776, 1st Sunhwan-ro, Seowon-gu, Cheongju-si, Chungcheongbuk-do 28646, South Korea; Department of Emergency Medicine, College of Medicine, Chungbuk National University, 1 Chungdae-ro, Seowongu, Cheongju-si, Chungcheongbuk-do 28646, South Korea.
Suk Woo LeeDepartment of Emergency Medicine, Chungbuk National University Hospital, 776, 1st Sunhwan-ro, Seowon-gu, Cheongju-si, Chungcheongbuk-do 28646, South Korea; Department of Emergency Medicine, College of Medicine, Chungbuk National University, 1 Chungdae-ro, Seowongu, Cheongju-si, Chungcheongbuk-do 28646, South Korea.
Sang-Chul KimDepartment of Emergency Medicine, Chungbuk National University Hospital, 776, 1st Sunhwan-ro, Seowon-gu, Cheongju-si, Chungcheongbuk-do 28646, South Korea; Department of Emergency Medicine, College of Medicine, Chungbuk National University, 1 Chungdae-ro, Seowongu, Cheongju-si, Chungcheongbuk-do 28646, South Korea. Electronic address: ooiarahan@nate.com.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivesThis study aimed to examine the usability, feasibility, acceptability, and appropriateness of the information and communication technology for emergency medical services (ICT-EMS) systems to improve the transportation of emergency patients during the COVID-19 pandemic.

methodsEmergency medical technicians (EMTs) (n = 229) employed at 7 fire stations operated by the North Chungcheong Fire Service Headquarters, South Korea were trained to use ICT-EMS devices prior to a 1-month implementation period. System Usability Scale (SUS), Feasibility of Intervention Measure (FIM), Acceptability of Intervention Measure (AIM), and Intervention Appropriateness Measure (IAM) questionnaires were conducted in the 4th week of the 1-month implementation period to assess the perceived usability, feasibility, acceptability, and appropriateness of the ICT-EMS systems.

resultsAmong a total of 229 EMTs, 187 EMTs (81.7%) completed the survey. The overall SUS score was significantly low (score of 35.6) indicating an overall negative perception of the ICT-EMS systems. With regard to the feasibility, acceptability, and intervention appropriateness of ICT-EMS, roughly 50 (26.7%) participants agreed that ICT-EMS implementation was possible, appealing, and suitable.

conclusionMany potential areas of improvement were identified within the ICT-EMS systems. System alterations regarding usability, feasibility, acceptability, and appropriateness may be necessary to successfully implement the ICT-EMS systems.

Indexed as

COVID-19Emergency Medical ServicesEmergency Medical TechniciansHumansPandemicsTransportation of PatientsCOVID-19Emergency medical service communication systemsFeasibility studiesInformation technology

Identifiers

PMID35395559
PMCPMC8938314

What OpenQuestion holds

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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.