ObjectivesTo investigate the association between the difficulty in hospital acceptance at the scene by emergency medical service (EMS) personnel and prehospital demographic factors and reasons for EMS calls.DesignA retrospective, observational study.SettingOsaka City, Japan.ParticipantsA total of 100 649 patients transported to medical institutions by EMS from January 2013 to December 2013.Primary outcome measurementsThe definition of difficulty in hospital acceptance at the scene was EMS personnel making ≥5 phone calls to medical institutions until a decision to transport was determined. Multivariable analysis was used to assess the relationship between difficulty in hospital acceptance and prehospital factors and reasons for EMS calls.ResultsMultivariable analysis showed the elderly, foreigners, loss of consciousness, holiday/weekend, and night-time to be positively associated with difficulty in hospital acceptance at the scene. As reasons for EMS calls, gas poisoning (adjusted OR 3.281, 95% CI 1.201 to 8.965), trauma by assault (adjusted OR 2.662, 95% CI 2.390 to 2.966), self-induced drug abuse/gas poisoning (adjusted OR 4.527, 95% CI 3.921 to 5.228) and self-induced trauma (adjusted OR 1.708, 95% CI 1.369 to 2.130) were positively associated with the difficulty in hospital acceptance at the scene.ConclusionsAmbulance records in Osaka City showed that certain prehospital factors such as night-time were positively associated with difficulty in hospital acceptance at the scene, and reasons for EMS calls, such as self-induced drug abuse/gas poisoning, were also positive predictors for difficulty in hospital acceptance at the scene.

Aim: Novel coronavirus infection (COVID-19) was confirmed in Wuhan, China in December 2019, and the COVID-19 pandemic has spread around the world. However, no clinical studies on the impact of the COVID-19 pandemic on emergency medical service (EMS) systems have been carried out. Methods: This was a retrospective study with a study period from 1 January 2020 to 14 April 2020. We included the patients transported by ambulance for acute diseases and traffic accidents in Osaka city, Japan. The main outcome of this study was the difficulty in hospital acceptance. We calculated the rate of difficulty of hospital acceptance for each month for acute diseases and traffic accidents. Results: Between 1 January and 14 April 2020, 36,981 patients were transported to hospitals by ambulance for acute diseases and 3,096 patients for traffic accidents. There was no difference in the proportion of the difficulty in hospital acceptance due to traffic accidents between 2019 and 2020, but there was an increase in the proportion of the difficulty in hospital acceptance due to acute disease after the 13th week (25-31 March) of 2020 compared to that of 2019. The odds ratio in April was 2.17 (95% confidence interval, 1.84-2.58) for acute disease. Conclusion: We assessed the impact of the COVID-19 pandemic on the EMS system in Osaka City, Japan and found that, since April 2020, the EMS system in Osaka City has been facing difficulty in terms of hospital acceptance of patients transported to hospital for acute diseases.

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Background: Detailed characteristics of those who experience an out-of-hospital cardiac arrest (OHCA) with public-access defibrillation (PAD) are unknown. Methods and Results:A prospective, population-based observational study involving consecutive OHCA patients with emergency responder resuscitation attempts was conducted from July 1, 2004 through December 31, 2008 in Osaka City. We extracted data for OHCA patients shocked by a public-access automated external defibrillator (AED) and evaluated the patients' and rescuers' characteristics. The main outcome measure was neurologically favorable 1-month survival. During the study period, 10,375 OHCA patients were registered and of 908 patients suffering ventricular fibrillation arrest, 53 (6%) received public-access AED shocks by lay-rescuers, with the proportion increasing from 0% in 2004 to 11% in 2008 (P for trend<0.001). Railway stations (34%) were the places where PAD shocks were most frequently delivered, followed by nursing homes (11%), medical facilities (9%), and fitness facilities (7%). In 57% of cases, the subject received public-access AED shocks delivered by non-medical persons, including employees of railway companies (13%), school teachers (6%), employees of fitness facilities (6%), and security guards (6%). The proportion of neurologically favorable 1-month survival tended to increase from 0% in 2005 to 58% in 2008 (P for trend =0.081). Conclusions:Railway stations are the most common places where shocks by public-access AEDs were delivered in large urban communities of Japan, and among lay-rescuers railway station workers use AEDs more frequently. (Circ J 2011; 75: 2821 - 2826

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.