Evidence map›Paper›PMID 28893725›Full record

ArticleJMIR mHealth and uHealth2017

Improvements in Patient Acceptance by Hospitals Following the Introduction of a Smartphone App for the Emergency Medical Service System: A Population-Based Before-and-After Observational Study in Osaka City, Japan.

Yusuke Katayama, Tetsuhisa Kitamura, Kosuke Kiyohara, Taku Iwami, Takashi Kawamura, Junichi Izawa, Koichiro Gibo, Sho Komukai, Sumito Hayashida, Takeyuki Kiguchi and 3 more

Abstract read
In one paragraph

Article in JMIR mHealth and uHealth, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.

0numbers the graph read from it
0cells of the map it votes in
17citing 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

17 citing papers in PubMed.

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  12. Emergency medicine in Japan: past, present, and future.International journal of emergency medicine · 2021
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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.

Yusuke KatayamaDepartment of Traumatology and Acute Critical Medicine, Osaka University Graduate School of Medicine, Suita, Japan.ORCID http://orcid.org/0000-0003-2585-4259
Tetsuhisa Kitamura *Division of Environmental Medicine and Population Sciences, Department of Social and Environmental Medicine, Osaka University Graduate School of Medicine, Suita, Japan.ORCID http://orcid.org/0000-0003-0107-0580
Kosuke KiyoharaDepartment of Public Health, Tokyo Women's Medical University, Tokyo, Japan.ORCID http://orcid.org/0000-0003-0644-6129
Taku IwamiKyoto University Health Sevices, Kyoto, Japan.ORCID http://orcid.org/0000-0002-4150-7065
Takashi KawamuraKyoto University Health Sevices, Kyoto, Japan.ORCID http://orcid.org/0000-0002-4539-1338
Junichi IzawaIntensive Care Unit, Department of Anesthesiology, The Jikei University School of Medicine, Tokyo, Japan.ORCID http://orcid.org/0000-0003-1920-8218
Koichiro GiboDepartment of Emergency Medicine, Okinawa Prefectural Chubu Hospital, Uruma, Japan.ORCID http://orcid.org/0000-0001-9889-5233
Sho KomukaiClinical Research Center, Saga University Hospital, Saga, Japan.ORCID http://orcid.org/0000-0002-4329-2520
Sumito HayashidaOsaka Municipal Fire Department, Osaka, Japan.ORCID http://orcid.org/0000-0001-9712-2941
Takeyuki KiguchiKyoto University Health Sevices, Kyoto, Japan.ORCID http://orcid.org/0000-0003-0259-9531
Mitsuo OhnishiDepartment of Traumatology and Acute Critical Medicine, Osaka University Graduate School of Medicine, Suita, Japan.ORCID http://orcid.org/0000-0001-9231-5795
Hiroshi OguraDepartment of Traumatology and Acute Critical Medicine, Osaka University Graduate School of Medicine, Suita, Japan.ORCID http://orcid.org/0000-0002-5013-2445
Takeshi ShimazuDepartment of Traumatology and Acute Critical Medicine, Osaka University Graduate School of Medicine, Suita, Japan.ORCID http://orcid.org/0000-0002-1207-9727

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundRecently, the number of ambulance dispatches has been increasing in Japan, and it is therefore difficult for hospitals to accept emergency patients smoothly and appropriately because of the limited hospital capacity. To facilitate the process of requesting patient transport and hospital acceptance, an emergency information system using information technology (IT) has been built and introduced in various communities. However, its effectiveness has not been thoroughly revealed. We introduced a smartphone app system in 2013 that enables emergency medical service (EMS) personnel to share information among themselves regarding on-scene ambulances and the hospital situation.

objectiveThe aim of this study was to assess the effects of introducing this smartphone app on the EMS system in Osaka City, Japan.

methodsThis retrospective study analyzed the population-based ambulance records of Osaka Municipal Fire Department. The study period was 6 years, from January 1, 2010 to December 31, 2015. We enrolled emergency patients for whom on-scene EMS personnel conducted hospital selection. The main endpoint was the difficulty experienced in gaining hospital acceptance at the scene. The definition of difficulty was making ≥5 phone calls by EMS personnel at the scene to hospitals until a decision to transport was determined. The smartphone app was introduced in January 2013, and we compared the patients treated from 2010 to 2012 (control group) with those treated from 2013 to 2015 (smartphone app group) using an interrupted time-series analysis to assess the effects of introducing this smartphone app.

resultsA total of 600,526 emergency patients for whom EMS personnel selected hospitals were eligible for our analysis. There were 300,131 emergency patients in the control group (50.00%, 300,313/600,526) from 2010 to 2012 and 300,395 emergency patients in the smartphone app group (50.00%, 300,395/600,526) from 2013 to 2015. The rate of difficulty in hospital acceptance was 14.19% (42,585/300,131) in the control group and 10.93% (32,819/300,395) in the smartphone app group. No change over time in the number of difficulties in hospital acceptance was found before the introduction of the smartphone app (regression coefficient: -2.43, 95% CI -5.49 to 0.64), but after its introduction, the number of difficulties in hospital acceptance gradually decreased by month (regression coefficient: -11.61, 95% CI -14.57 to -8.65).

conclusionsSharing information between an ambulance and a hospital by using the smartphone app at the scene was associated with decreased difficulty in obtaining hospital acceptance. Our app and findings may be worth considering in other areas of the world where emergency medical information systems with IT are needed.

Indexed as

emergency medical servicesemergency medicinemobile healthpublic healthtelemedicine

Identifiers

PMID28893725
PMCPMC5616023

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Registered trials

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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.