Mobile phones, in combination with a computer locator system, improve the response times of emergency medical services in central London

Homicide in Denmark 1992-2016

We present the findings for homicides in Denmark for 1992–2016. There were 1417 homicide victims (62.2% males, 37.8% females) that were killed in 1321 homicide events. The most common methods were sharp force trauma (33.2%), gunshot (22.2%), blunt force trauma (21.9%) and asphyxia (17.6%), and all methods exhibited a reduction during the study period. The homicide rate was 1.05 per 100,000, 1.32 per 100,000 for males, and 0.78 per 100,000 for females.

Domestic homicides were the largest main group of homicides (76.5% of all female victims vs. 23.6% of male victims). Of the non-domestic homicides, 84.2% of victims were male, the largest group being in the setting of nightlife and/or intoxication. Most female victims (76.9%) were killed by someone in their family, while the largest share of male victims (34.5%) were killed by a friend or acquaintance. The offenders were males in 87.9% of all homicides.

Optimizing Patient Surgical Management Using WhatsApp Application in the Italian Healthcare System

INTRODUCTION

Smartphones changed the method by which doctors communicate with each other, offer modern functionalities sensitive to the context of use, and can represent a valuable ally in the healthcare system. Studies have shown that WhatsApp™ application can facilitate communication within the healthcare team and provide the attending physician a constant oversight of activities performed by junior team members. The aim of the study was to use WhatsApp between two distant surgical teams involved in a program of elective surgery to verify if it facilitates communication, enhances learning, and improves patient care preserving their privacy.

METHODS

We conducted a focused group of surgeons over a 28-month period (from March 2013 to July 2015), and from September 2014 to July 2015, a group of selected specialists communicated healthcare matters through the newly founded "WhatsApp Surgery Group." Each patient enrolled in the study signed a consent form to let the team communicate his/her clinical data using WhatsApp. Communication between team members, response times, and types of messages were evaluated.

RESULTS

Forty six (n = 46) patients were enrolled in the study. A total of 1,053 images were used with an average of 78 images for each patient (range 41-143). 125 h of communication were recorded, generating 354 communication events. The expert surgeon had received the highest number of questions (P, 0.001), while the residents asked clinical questions (P, 0.001) and were the fastest responders to communications (P, 0.001).

CONCLUSION

Our study investigated how two distant clinical teams may exploit such a communication system and quantifies both the direction and type of communication between surgeons. WhatsApp is a low cost, secure, and fast technology and it offers the opportunity to facilitate clinical and nonclinical communications, enhance learning, and improve patient care preserving their privacy.

Mobile emergency, an emergency support system for hospitals in mobile devices: pilot study

Background

Hospitals are vulnerable to natural disasters, man-made disasters, and mass causalities events. Within a short time, hospitals must provide care to large numbers of casualties in any damaged infrastructure, despite great personnel risk, inadequate communications, and limited resources. Communications are one of the most common challenges and drawbacks during in-hospital emergencies. Emergency difficulties in communicating with personnel and other agencies are mentioned in literature. At the moment of emergency inception and in the earliest emergency phases, the data regarding the true nature of the incidents are often inaccurate. The real needs and conditions are not yet clear, hospital personnel are neither efficiently coordinated nor informed on the real available resources. Information and communication technology solutions in health care turned out to have a great positive impact both on daily working practice and situations.

Objective

The objective of this paper was to find a solution that addresses the aspects of communicating among medical personnel, formalizing the modalities and protocols and the information to guide the medical personnel during emergency conditions with a support of a Central Station (command center) to cope with emergency management and best practice network to produce and distribute intelligent content made available in the mobile devices of the medical personnel. The aim was to reduce the time needed to react and to cope with emergency organization, while facilitating communications.

Methods

The solution has been realized by formalizing the scenarios, extracting, and identifying the requirements by using formal methods based on unified modeling language (UML). The system and was developed using mobile programming under iOS Apple and PHP: Hypertext Preprocessor My Structured Query Language (PHP MySQL). Formal questionnaires and time sheets were used for testing and validation, and a control group was used in order to estimate the reduction of time needed to cope with emergency cases. First, we have tested the usability and the functionalities of the solution proposed, then a real trial was performed to assess the reduction in communication time and the efficiency of the solution with respect to a case without Mobile Emergency tools.

Results

The solution was based on the development of a mobile emergency application and corresponding server device to cope with emergencies and facilitate all the related activities and communications, such as marking the position, contacting people, and recovering the exits information. The solution has been successfully tested within the Careggi Hospital, the largest medical infrastructure in Florence and Tuscany area in Italy, thus demonstrating the validity of the identified modalities, procedures, and the reduction in the time needed to cope with the emergency conditions. The trial was not registered as the test was conducted in realistic but simulated emergency conditions.

Conclusions

By analyzing the requirements for developing a mobile app, and specifically the functionalities, codes, and design of the Mobile Emergency app, we have revealed the real advantages of using mobile emergency solutions compared to other more traditional solutions to effectively handle emergency situations in hospital settings.

Mobile phone use for contacting emergency services in life-threatening circumstances

BACKGROUND

The potential health benefits of mobile phone use have not been widely studied, except for telemedicine-type applications.

STUDY OBJECTIVES

This study seeks to determine whether initial contact with emergency services via a mobile phone in life-threatening situations is associated with potential health benefits when compared to contact via a landline.

METHODS

A record-linkage study was carried out in which data from all emergency dispatches for immediately life-threatening events from a United Kingdom county ambulance service were linked to the Patient Admission System at two major local hospitals. Mortality (at the scene, at the emergency department [ED], and during hospitalization); transfer to the ED; admission (inpatient care, and intensive care unit); and length of stay were analyzed for calls classified as Code Red (immediately life-threatening) by initial exposure (mobile phone vs. landline), while controlling for potential confounding variables.

RESULTS

Of 354,199 ambulances dispatched to attend emergency incidents, 66% transported patients to the hospital while 2% stood down due to death at the scene. Mobile phone compared to landline reporting of emergencies resulted in significant reductions in the risk of death at the scene (odds ratio [OR] 0.77), but not for death in the ED or during inpatient admission. The risk of being transferred to the ED and subsequent inpatient admission were significantly lower with reporting from mobile phones compared to landline (OR 0.93 and OR 0.82, respectively).

CONCLUSIONS

In this study, evidence of statistical association was demonstrated between the use of mobile phones to alert ambulance services in life-threatening situations and improved outcomes for patients.

Trends in longer-term survival following an acute myocardial infarction and prescribing of evidenced-based medications in primary care in the UK from 1991: a longitudinal population-based study

Background

Both the incidence of myocardial infarction (MI) and short-term case fatality have declined in the UK. However, little is known about trends in longer-term survival following an MI. The aim of the study was to investigate trends in longer-term survival, alongside trends in medication prescribing in primary care.

Methods

Data came from 218 general practices contributing to the Health Improvement Network, a UK-wide primary care database. 3-year survival and medication use were determined for 6586 men and 3766 women who had an MI between 1991 and 2002 and had already survived 3 months.

Results

Adjusting for age and gender, the 3-year post-MI case-fatality rate among 3-month survivors fell by 28% (95% CI 13 to 40), from 83 deaths per 1000 person-years for MI occurring in 1991–2 to 61 deaths per 1000 person-years for MI in 2001–2. Relative declines in the case-fatality rate of 37% (20 to 50) and 14% (−11 to 34) were observed for men and women, respectively (p=0.06 for interaction). Prescribing in the 3 months following the MI of lipid-regulating drugs increased from 3% of patients in 1991 to 79% in 2002, prescribing of beta-blockers increased from 26% to 68%, prescribing of ACE inhibitors increased from 11% to 71% and prescribing of anti-platelet medication increased from 46% to 86%.

Conclusion

There has been a moderate improvement in longer-term survival following an MI, distinct from improvements in short-term survival, although men may have benefited more than women. Increased medication prescribing in primary care may be a contributing factor.

Using genetic algorithms to optimise current and future health planning--the example of ambulance locations

Background

Ambulance response time is a crucial factor in patient survival. The number of emergency cases (EMS cases) requiring an ambulance is increasing due to changes in population demographics. This is decreasing ambulance response times to the emergency scene. This paper predicts EMS cases for 5-year intervals from 2020, to 2050 by correlating current EMS cases with demographic factors at the level of the census area and predicted population changes. It then applies a modified grouping genetic algorithm to compare current and future optimal locations and numbers of ambulances. Sets of potential locations were evaluated in terms of the (current and predicted) EMS case distances to those locations.

Results

Future EMS demands were predicted to increase by 2030 using the model (R² = 0.71). The optimal locations of ambulances based on future EMS cases were compared with current locations and with optimal locations modelled on current EMS case data. Optimising the location of ambulance stations locations reduced the average response times by 57 seconds. Current and predicted future EMS demand at modelled locations were calculated and compared.

Conclusions

The reallocation of ambulances to optimal locations improved response times and could contribute to higher survival rates from life-threatening medical events. Modelling EMS case 'demand' over census areas allows the data to be correlated to population characteristics and optimal 'supply' locations to be identified. Comparing current and future optimal scenarios allows more nuanced planning decisions to be made. This is a generic methodology that could be used to provide evidence in support of public health planning and decision making.