Evidence map›Paper›PMID 38185622›Full record

Observational studyBMC emergency medicine2024

Factors associated with prolonged on-scene time in ambulance transportation among patients with minor diseases or injuries in Japan: a population-based observational study.

Keiko Ueno, Chie Teramoto, Daisuke Nishioka, Shiho Kino, Hiroyuki Sawatari, Kazuaki Tanabe

Open access · goldAbstract readObservational Study
In one paragraph

Observational study in BMC emergency medicine, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed, 6 citations in OpenAlex.

  1. Article
  2. Observational
  3. 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

6 authors at 3 institutions in 1 country.

Keiko UenoDepartment of Social Epidemiology, Graduate School of Medicine and School of Public Health, Kyoto University, Floor 2, Science Frontier Laboratory, Yoshidakonoe-cho, Sakyo-ku, Kyoto-shi, 606-8315, Kyoto, Japan. ueno.keiko.6s@kyoto-u.ac.jp.
Chie TeramotoDepartment of Perioperative and Critical Care Management, Graduate School of Biomedical and Health Sciences, Hiroshima University, Hiroshima, Japan.
Daisuke NishiokaDepartment of Social Epidemiology, Graduate School of Medicine and School of Public Health, Kyoto University, Floor 2, Science Frontier Laboratory, Yoshidakonoe-cho, Sakyo-ku, Kyoto-shi, 606-8315, Kyoto, Japan.
Shiho KinoDepartment of Social Epidemiology, Graduate School of Medicine and School of Public Health, Kyoto University, Floor 2, Science Frontier Laboratory, Yoshidakonoe-cho, Sakyo-ku, Kyoto-shi, 606-8315, Kyoto, Japan.
Hiroyuki SawatariDepartment of Perioperative and Critical Care Management, Graduate School of Biomedical and Health Sciences, Hiroshima University, Hiroshima, Japan.
Kazuaki TanabeDepartment of Perioperative and Critical Care Management, Graduate School of Biomedical and Health Sciences, Hiroshima University, Hiroshima, Japan.
Hiroshima University · JPKyoto University · JPTokyo Medical and Dental University · JP

Funding

Japan Society for the Promotion of Science 19K19731Japan Society for the Promotion of Science 22K21081
6 · The paper itself

Abstract

backgroundProlonged prehospital time is a major global problem in the emergency medical system (EMS). Although factors related to prolonged on-scene times (OSTs) have been reported in patients with trauma and critical medical conditions, those in patients with minor diseases or injuries remain unclear. We examined factors associated with prolonged OSTs in patients with minor diseases or injuries.

methodsThis population-based observational study used the ambulance transportation and request call record databases of the Higashihiroshima Fire Department, Japan, between January 1, 2016, and December 31, 2022. The participants were patients with minor diseases or injuries during the study period. We performed a multivariable logistic regression analysis with robust error variance to examine the association between patient age, sex, severity, accident type, date and time of ambulance call, and the coronavirus disease 2019 (COVID-19) pandemic with prolonged OSTs. Prolonged OST was defined as ≥ 30 min from the ambulance arrival at the scene to departure.

resultsOf the 60,309 people transported by ambulance during the study period, 20,069 with minor diseases or injuries were included in the analysis. A total of 1,241 patients (6.2%) experienced prolonged OSTs. Fire accidents (adjusted odds ratio [aOR]: 7.77, 95% confidence interval [CI]: 3.82-15.79), natural disasters (aOR: 28.52, 95% CI: 2.09-389.76), motor vehicle accidents (aOR: 1.63, 95% CI: 1.30-2.06), assaults (aOR: 2.91, 95% CI: 1.86-4.53), self-injuries (aOR: 5.60, 95% CI: 3.37-9.32), number of hospital inquiries ≥ 4 (aOR: 77.34, 95% CI: 53.55-111.69), and the COVID-19 pandemic (aOR: 2.01, 95% CI: 1.62-2.50) were associated with prolonged OSTs. Moreover, older and female patients had prolonged OSTs (aOR: 1.18, 95% CI: 1.01-1.36 and aOR: 1.12, 95% CI: 1.08-1.18, respectively).

conclusionsOlder age, female sex, fire accidents, natural disasters, motor vehicle accidents, assaults, self-injuries, number of hospital inquiries ≥ 4, and the COVID-19 pandemic influenced prolonged OSTs among patients with minor diseases or injuries. To improve community EMS, we should reconsider how to intervene with potentially modifiable factors, such as EMS personnel performance, the impact of the presence of allied services, hospital patient acceptance systems, and cooperation between general emergency and psychiatric hospitals.

Indexed as

AmbulancesCOVID-19Accidents, TrafficFemaleHumansJapanPandemicsAmbulanceCOVID-19 pandemicEmergency medical servicesObservational studyPrehospital emergency care

Identifiers

PMID38185622
PMCPMC10773094
OpenAlexW4390655774

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.