Automatic collision notification availability and emergency response times following vehicle collision-an analysis of the 2017 crash investigation sampling system.

OBJECTIVE: To determine whether occupants of collisions involving at least one vehicle with an available Automatic Collision Notification (ACN) system have quicker times from collision to 1) Emergency Medical Services (EMS) notification and 2) arrival to a medical center. METHODS: Using data from the 2017 Crash Investigation Sampling System, vehicles were categorized as whether ACN was available using data from the CISS's dataset of crash avoidance system availability (in which ACN is included though notably not a crash avoidance system). A Cox proportional hazards model-overall and stratified by urbanization-was used to compare the time from collision to both EMS notification and EMS arrival to a medical center. RESULTS: A total of 2,034 collisions (weight n: 2,775,512) involving 4235 occupants (weighted n: 4,987,669) were included. An estimated 259,021 (9.3%) and 546,223 occupants (11.0%) were in a collision in which one vehicle had ACN equipped. The median time to EMS notification was longer for collisions in which no involved vehicles had ACN available (median 4, IQR 2-9 minutes) than ACN-exposed collisions (median 2, IQR 1-5 minutes). There was a marginally significant higher hazard (i.e., instantaneous risk) of EMS notification for collisions with at least one vehicle having ACN available (HR 1.77, 95% CI 0.99-3.15). Likewise, there was a higher instantaneous risk of medical center arrival for occupants (HR 1.80, 95% CI 1.41-2.30) involved in collisions in which at least one vehicle had ACN available. ACN was associated with quicker EMS notification only in urban areas (HR 3.06, 95% CI 1.57-5.97) and associated with a greater reduction in time to medical facility in less urban areas (median 36 vs 45 minutes, HR 2.12, 95% CI 1.22-3.63). CONCLUSIONS: This is the first study to directly compare EMS response-related times between collisions involving vehicles with and without ACN available. The current data corroborate prior literature reporting quicker EMS notification times among collisions involving ACN-equipped vehicles. This is the first study to find that ACN is also associated to quicker times to medical center arrival, particularly for collisions occurring in less urban areas. Future research examining whether these decreased times are associated with better clinical outcomes are needed in order to fully assess ACN's ability to prevent trauma-related mortality and morbidity.

Dispatcher Triage Accuracy in the Western Cape Government Emergency Medical Services System, Cape Town, South Africa.

INTRODUCTION: Triage - the sorting of patients according to urgency of need for clinical care - is an essential part of delivering effective and efficient emergency care. But when frequent over- or under-triaging occurs, finite time and resources are diverted away from those in greatest need of care and the entire Emergency Medical Services (EMS) system is strained. In resource-constrained settings, such as South Africa, poor triage in EMS only serves to compound other contextual challenges. This study examined the accuracy of dispatcher triage over a one-year period in the Western Cape Government (WCG) EMS system in South Africa. METHODS: A retrospective analysis of existing dispatch and EMS data to assess the accuracy of dispatch-assigned priorities was conducted. The mismatch between dispatcher-assigned call priority and triage levels determined by EMS personnel was analyzed via over- and under-triage rates, sensitivity and specificity, and positive and negative predictive values (PPVs and NPVs, respectively). RESULTS: A total of 185,166 records from December 2016 through November 2017 were analyzed. Across all dispatch complaints, the over-triage rate was 67.6% (95% CI, 66.34-68.76) and the under-triage rate was 16.2% (95% CI, 15.44-16.90). Dispatch triage sensitivity for all included records was 49.2% (95% CI, 48.10-50.38), specificity 71.9% (95% CI, 71.00-72.92), PPV 32.5% (95% CI, 30.02-34.88), and NPV 83.8% (95% CI, 81.93-85.73). CONCLUSION: This study provides the first evaluation of dispatch triage accuracy in the WCG EMS system, identifying that the system is suffering from both under- and over-triage. Despite variance across dispatch complaints, both under- and over-triage remained higher than widely accepted norms, and all rates were significantly above acceptable target metrics described in similar studies. Results of this study will be used to motivate the development of more rigorous training programs and resources for WCG EMS dispatchers, including improved dispatch protocols for conditions suffering from high over- and under-triage.

Adequacy of bystander actions in unconscious patients: an audit study in the Ghent region (Belgium).

OBJECTIVE: Early recognition and appropriate bystander response has proven effect on the outcome of many critically ill patients, including those in cardiac arrest. We wanted to audit prehospital bystander response in our region and identify areas for improvement. PATIENTS AND METHODS: We prospectively collected data, including Emergency Medical Services dispatch center audio files, on all patients with a decreased level of consciousness presenting to the Ghent University Hospital prehospital emergency care unit (n = 151). Three trained emergency physicians reviewed the bystander responses, both before and after dispatcher advice was given. Suboptimal actions (SAs) were only withheld if there was 100% consensus. RESULTS: SAs were recognized in 54 (38%) of the 142 cases, and most often related to delayed (n = 35) or inaccurate (n = 12) alerting of the dispatch center. In seven cases, the aid given was considered suboptimal in itself. Importantly, in 21 (25.9%) of the 81 cases where a clear advice was given by the dispatcher, this advice was ignored. In 12 cases, a general practitioner was present at scene. We recognized SAs in 80% of these cases (8/10; insufficient information, n = 2). Cardiopulmonary resuscitation was started in only 29 (43.3%) of the 67 cases of cardiac arrest where dispatcher-assisted cardiopulmonary resuscitation was indicated at the moment of first Emergency Medical Services call. CONCLUSION: We audited bystander response for unconscious patients in our region and found a high degree of suboptimal actions. These results should inform policy makers and healthcare professionals and force them to urgently reflect on how to improve the first parts of the chain of survival.

Identifying and minimizing abuse of emergency call center services through technology.

BACKGROUND: To identify and minimize unnecessary calls to emergency numbers and to assess the effectiveness of call-tracking technology in addressing the problem. METHODS: A retrospective, interventional study was conducted of all emergency calls made to Magen David Adom (MDA), Israel's national Emergency Medicine Service (EMS) during years 2012-2016. In 2015 a tiered technological intervention was developed and implemented by MDA. The call-tracking technology self-identified harassment calls by call duration and frequency. The system automatically diverted harassing calls to a non-emergency number system in order not to lose any call. The rates of harassment calls were analyzed by shift, region, and season. Trends were compared before and after intervention. RESULTS: During the years 2012-2016, 53,527 shifts took place, and 8.2% (4277) of shifts identified as receiving incoming harassment calls. The evening shift (11.5%), the Jerusalem region (16.9%), and the summer season (9.6%) were most prone to harassment calls. After implementing an intervention using specialized call-tracking technology, the prevalence of harassment calls decreased significantly (from 10.9% to 2.9% p < .001). The Jerusalem region showed the greatest decrease of 92% (from 26.5%-2.0% p < .001). CONCLUSIONS: MDA's call tracking technology has been shown to identify and minimize harassment calls and can be implemented by emergency organizations to reduce abuse of emergency call services.

Exploring individual and work organizational peculiarities of working in emergency medical communication centers in Norway- a qualitative study.

BACKGROUND: Emergency Medical call-takers working in Emergency Medical Communication Centers (EMCCs) are addressing complex and potentially life threatening problems. The call-takers have to make fast decisions, responding to problems described in phone calls. Recent studies focus mainly on individual aspects of call-takers' work. The objectives of this study were to explore 1) What characterizes individual work performance of call takers in EMCCs? and 2) What characterizes work organizational factors call takers see as most relevant to the performance of their work? METHODS: The research is based upon in-depth interviews with call takers at three EMCCs in Norway (n = 19). Interviews were performed during the period May 2013 to September 2014. Data was analyzed using thematic analysis. RESULTS: Two main themes that related to individual work performance and to work organizational factors in EMCCs were identified, namely: 1) "Core technologies" and 2) "Environmental issues" . The theme "Core technologies" included the subthemes a) multiple tasks, b) critical incidents, and c) unpredictability. The theme "Environmental issues" included the subthemes a) lack of support, b) lack of resources, c) exposure to complaints, and d) an invisible service. CONCLUSION: At the individual level, multiple tasks, how to cope with critical incidents, and the unpredictability of daily work when calls are received, make the work of call takers both stressful and challenging. The individual call taker's ability to interprete the situation by intuition and experience when calls are received, is the main factor behind the peculiarities working in the centers at the individual level. At the organizational level, the lack of resources and managerial support seems to provoke concerns about the quality of services rendered by the centers. These aspects should be taken into account in the managing of these services, making them a more integrated part of the health service system.

Understanding variation in unplanned admissions of people aged 85 and over: a systems-based approach.

AIM: To examine system characteristics associated with variations in unplanned admission rates in those aged 85+. DESIGN: Mixed methods. SETTING: Primary care trusts in England were ranked according to changes in admission rates for people aged 85+ between 2007 and 2009, and study sites selected from each end of the distribution: three 'improving' sites where rates had declined by more than 4% and three 'deteriorating' sites where rates had increased by more than 20%. Each site comprised an acute hospital trust, its linked primary care trust/clinical commissioning group, the provider of community health services and adult social care. PARTICIPANTS: A total of 142 representatives from these organisations were interviewed to understand how policies had been developed and implemented. McKinsey's 7S framework was used as a structure for investigation and analysis. RESULTS: In general, improving sites provided more evidence of comprehensive system focused strategies backed by strong leadership, enabling the development and implementation of policies and procedures to avoid unnecessary admissions of older people. In these sites, primary and intermediate care services appeared more comprehensive and better integrated with other parts of the system, and policies in emergency departments were more focused on providing alternatives to admission. CONCLUSIONS: Health and social care communities which have attenuated admissions of people aged 85+ prioritised developing a shared vision and strategy, with sustained implementation of a suite of interventions.

The use of dispatcher assistance in improving the quality of cardiopulmonary resuscitation: A randomised controlled trial.

AIMS: The introduction of dispatcher assistance (DA) services has led to increased bystander cardiopulmonary resuscitation (CPR) participation rates. However, the extent to which DA improves CPR quality remains unclear. This study aimed to evaluate the efficacy of DA in improving CPR quality among healthcare professionals and laypersons within a multi-ethnic Southeast Asian population. METHODS: A parallel, randomised controlled, open label trial was performed. Four hundred and twelve participants were recruited via convenience sampling in a public location. In a simulated cardiac-arrest scenario, the participants were randomised to perform CPR with DA over the phone (DA+) or CPR without DA (DA-). The ratio of participant assignment to DA+ and DA- was 1:1. The primary outcomes were CPR compression depth, compression rate, no-flow time, complete release of pressure between compressions, and hand location. The assessment involved CPR manikins and human assessors. RESULTS: A larger proportion of participants in DA + achieved the correct compression rate (34.3% vs 18.1%, p < 0.001). There was no difference in the other primary outcomes. A subgroup analysis revealed that healthcare professionals in DA+ had a higher proportion of correct hand location compared to those in DA- (82.1% vs. 53.5%, p < 0.05). There was no significant difference in CPR quality among laypersons with valid CPR certification regardless of whether they received DA. CONCLUSION: DA should be provided to laypersons without valid CPR certification, as well as healthcare professionals. The identification of gaps in the current DA protocol highlights areas where specific changes can be made to improve CPR quality.

A comparison of call volumes before, during, and after Hurricane Harvey.

BACKGROUND: There is currently minimal data regarding the demand placed on Emergency Medical Services in the wake of hurricanes and other natural disasters. This retrospective review provides an opportunity to analyze call volumes to EMS and their distribution before, during, and after Hurricane Harvey in one area on the Texas Gulf Coast. OBJECTIVES: Call volumes from Galveston Area Ambulance Authority were reviewed to provide insights for allocation of resources during natural disasters, identifying weaknesses in the current EMS system, and recommending proactive changes for future disasters. METHODS: This study was conducted based on data gathered from the Galveston Area Ambulance Authority which records the call volumes to EMS as well as the paramedics' primary impression of the patients. An analysis of variance (ANOVA) was used to calculate the differences in mean number of calls among the selected days for the periods before, during, and after the hurricane. Also, a paired t-test was used to calculate the difference in means for calls per day and the number calls during the peak days. Statistical significance was set at P ≤ 0.05 with a 95% confidence interval. RESULTS: The 6 days prior to the storm had an average of 48 ±â€¯6 calls, the 6 days during the storm had an average of 50 ±â€¯15 calls, and the 6 days after the storm had an average of 49 ±â€¯14 calls (p = 0.95). The peak number of calls between August 19-September 5 occurred the last 2 days of the storm, into the first 2 days after the storm. The average call volume for these four days was 65 ±â€¯3 calls compared to the average number of calls for the total 18 days which was 49 ±â€¯12 calls (p = 0.008). During the peak days, there were large percentages of calls due to: injury, general pain, respiratory distress, chest pain, and generalized weakness. CONCLUSIONS: EMS and emergency departments can expect peak volumes in the last days of a natural disaster as well as the first few days after the event with increases in injuries, general pain, respiratory distress, chest pain, and generalized weakness. EMS education, proper hospital staffing, and increased telemedicine/community paramedicine usage presents opportunities to increase efficiency in community healthcare during natural disasters.

Analysis of 9-1-1 call data from an emergency management perspective: A case study of the city of Lethbridge.

This article examines 9-1-1 call data of the City of Lethbridge in Alberta, Canada over a year to find discernible spatial and temporal trends that may be useful to emergency response or better delivery of emergency management services. The spatial analysis includes Geographic Information Systems hotspot analysis of cellular and landline emergency calls with respect to critical (emergency and healthcare) facilities as well as emergency calls from residential landlines. The temporal analysis looks at hourly, daily, and monthly patterns of emergency calls and the factors driving up the call volumes in certain periods. It also examines emergency call volumes before, during, and after a major disaster (wildfire) event. The article concludes with summarizing the findings and identifying the areas for future research.

Paediatric medical emergency calls to a Danish Emergency Medical Dispatch Centre: a retrospective, observational study.

BACKGROUND: Little is known regarding paediatric medical emergency calls to Danish Emergency Medical Dispatch Centres (EMDC). This study aimed to investigate these calls, specifically the medical issues leading to them and the pre-hospital units dispatched to the paediatric emergencies. METHODS: We performed a retrospective, observational study on paediatric medical emergency calls managed by the EMDC in the Region of Southern Denmark in February 2016. We reviewed audio recordings of emergency calls and ambulance records to identify calls concerning patients ≤ 15 years. We examined EMDC dispatch records to establish how the medical issues leading to these calls were classified and which pre-hospital units were dispatched to the paediatric emergencies. We analysed the data using descriptive statistics. RESULTS: Of a total of 7052 emergency calls in February 2016, 485 (6.9%) concerned patients ≤ 15 years. We excluded 19 and analysed the remaining 466. The reported medical issues were commonly classified as: "seizures" (22.1%), "sick child" (18.9%) and "unclear problem" (12.9%). The overall most common pre-hospital response was immediate dispatch of an ambulance with sirens and lights with a supporting physician-manned mobile emergency care unit (56.4%). The classification of medical issues and the dispatched pre-hospital units varied with patient age. DISCUSSION: We believe our results might help focus the paediatric training received by emergency medical dispatch staff on commonly encountered medical issues, such as the symptoms and conditions pertaining to the symptom categories "seizures" and "sick child". Furthermore, the results could prove useful in hypothesis generation for future studies examining paediatric medical emergency calls. CONCLUSION: Almost 7% of all calls concerned patients ≤ 15 years. Medical issues pertaining to the symptom categories "seizures", "sick child" and "unclear problem" were common and the calls commonly resulted in urgent pre-hospital responses.

Telemedicine-based physician consultation results in more patients treated and released by ambulance personnel.

OBJECTIVE: We examined whether teleconsultation from ambulances to a physician at an emergency medical communication center (EMCC) would increase the proportion of patients with nonurgent conditions being treated and released on site. METHODS: This research was a before-after pilot study. In the intervention period, the EMCC was manned 24/7 with physicians experienced in emergency care. Eligible participants included all patients with nonurgent conditions receiving an ambulance after a medical emergency call. Ambulance personnel assessed patients and subsequently performed a telephone consultation from the ambulance with the physician. The primary outcome was the proportion of patients treated and released on site. Secondary outcomes were the number of hospital admissions, mortality, and patient satisfaction. The intervention period was compared with a corresponding control period from the previous year. RESULTS: We observed an increase in the proportion of patients treated and released in the intervention period in 2014 compared with the control period in 2013, up from 21% (n=137) to 29% (n=221) (odds ratio=1.46; 95% confidence interval=1.14-1.89, P=0.002). The follow-up rate was 100%. There was no observable increase in hospital admissions or mortality among patients treated and released from 2013 to 2014. A telephone survey of patients treated and released showed that 98.4% (95% confidence interval=91.3-99.9) were very satisfied or satisfied with their treatment. CONCLUSION: Teleconsultation between a physician at the EMCC and ambulance personnel and noncritically ill 1-1-2 patients results in an increased rate of patients treated and released with high satisfaction. The approach does not seem to compromise patient safety.

The positive predictive value of an ambulance prealert for stroke and transient ischaemic attack.

OBJECTIVE: Therapeutic options for ischaemic stroke, such as thrombolysis or thrombectomy, are time sensitive. Multiple innovations have been established to reduce the symptom-to-needle time. One such innovation is the prealerting of emergency department (ED) or stroke unit staff by prehospital personnel of suspected stroke patients. The diagnosis of stroke can sometimes be difficult, with stroke mimics being a recognized issue. The prealert mobilizes ED, stroke and imaging personnel, which, for a true-positive, improves door-to-needle times. However, there are a proportion of false-positive prealerts (nonstrokes) that have a significant resource activation implication. The aim of this study was to evaluate the positive predictive value of a prealert for stroke and transient ischaemic attack (TIA). METHODS: Ambulance service prealert forms for stroke and TIA collated by the ED were compared with the Scottish Stroke Audit database findings, ED electronic notes and imaging reports to establish whether the prealert was a true-positive or a false-positive. RESULTS: A prealert was obtained for 77 patients as query stroke/TIA. The true-positive rate was 52 and the false-positive rate was 25. The positive predictive value was 0.675. The median symptom-to-arrival time for prealerted patients was 97 min and the door-to-needle time for thrombolysis (n=17 patients) was 38 min. CONCLUSION: The diagnosis of true-positive stroke can be difficult in the prehospital environment. Although prealert has been shown to improve the patient's journey in terms of door-to-thrombolysis times, we have identified that the prealert has a significant false-positive rate that has important resource allocation and activation consequences. Further analysis of this may inform paramedic training and improve protocols for information handover.

Utility of a Medical Alert Protection System compared to telephone follow-up only for home-alone elderly presenting to the ED - A randomized controlled trial.

OBJECTIVE: Medical Alert Protection Systems (MAPS) are a form of assistive technology designed to support independent living in the care of elderly patients in the community. We aimed to investigate the utility of using such a device (eAlert! System) in elderly patients presenting to an Emergency Department (ED). METHODS: Elderly patients presenting to an ED were randomized to receive MAPS or telephone follow-up only (control arm). All patients were followed up at one-week, one-month and six-month post-intervention. A confidence scale (at 1week, 1month and 6months) and EQ-5D score (at 6months) were also administered. RESULTS: 106 and 91 participants enrolled in the MAPS and control arms respectively. Within both individual arms, there were significant reductions in the median number of ED visits and median number of admissions in the six month periods before, compared to after intervention (p<0.01 for both). However, the reductions were not significantly different between the two arms. Among participants who have had one or more admissions during the six months period post intervention, the MAPS arm had significantly lower median total length of stay (8days, Interquartile Range [IQR]=(4, 14)) compared to the control arm (15days, IQR=(3, 25), p=0.045). The median health state score for health state was significantly higher in the MAPS arm (70 IQR=(60,80) versus 60 IQR=(50,70), p=0.008). CONCLUSION: In this population of elderly ED patients, the use of a MAPS decreased length of stay for admissions and improved quality of life measures.

Hospital-Confirmed Acute Myocardial Infarction: Prehospital Identification Using the Medical Priority Dispatch System.

Introduction Early recognition of an acute myocardial infarction (AMI) can increase the patient's likelihood of survival. As the first point of contact for patients accessing medical care through emergency services, emergency medical dispatchers (EMDs) represent the earliest potential identification point for AMIs. The objective of the study was to determine how AMI cases were coded and prioritized at the dispatch point, and also to describe the distribution of these cases by patient age and gender. Hypothesis/Problem No studies currently exist that describe the EMD's ability to correctly triage AMIs into Advanced Life Support (ALS) response tiers. METHODS: The retrospective descriptive study utilized data from three sources: emergency medical dispatch, Emergency Medical Services (EMS), and emergency departments (EDs)/hospitals. The primary outcome measure was the distributions of AMI cases, as categorized by Chief Complaint Protocol, dispatch priority code and level, and patient age and gender. The EMS and ED/hospital data came from the Utah Department of Health (UDoH), Salt Lake City, Utah. Dispatch data came from two emergency communication centers covering the entirety of Salt Lake City and Salt Lake County, Utah. RESULTS: Overall, 89.9% of all the AMIs (n=606) were coded in one of the three highest dispatch priority levels, all of which call for ALS response (called CHARLIE, DELTA, and ECHO in the studied system). The percentage of AMIs significantly increased for patients aged 35 years and older, and varied significantly by gender, dispatch level, and chief complaint. A total of 85.7% of all deaths occurred among patients aged 55 years and older, and 88.9% of the deaths were handled in the ALS-recommended priority levels. CONCLUSION: Acute myocardial infarctions may present as a variety of clinical symptoms, and the study findings demonstrated that more than one-half were identified as having chief complaints of Chest Pain or Breathing Problems at the dispatch point, followed by Sick Person and Unconscious/Fainting. The 35-year age cutoff for assignment to higher priority levels is strongly supported. The Falls and Sick Person Protocols offer opportunities to capture atypical AMI presentations. Clawson JJ , Gardett I , Scott G , Fivaz C , Barron T , Broadbent M , Olola C . Hospital-confirmed acute myocardial infarction: prehospital identification using the Medical Priority Dispatch System. Prehosp Disaster Med. 2018;33(1):29-35.

'Outbreak Gold Standard' selection to provide optimized threshold for infectious diseases early-alert based on China Infectious Disease Automated-alert and Response System.

The China Infectious Disease Automated-alert and Response System (CIDARS) was successfully implemented and became operational nationwide in 2008. The CIDARS plays an important role in and has been integrated into the routine outbreak monitoring efforts of the Center for Disease Control (CDC) at all levels in China. In the CIDARS, thresholds are determined using the "Mean+2SD? in the early stage which have limitations. This study compared the performance of optimized thresholds defined using the "Mean +2SD? method to the performance of 5 novel algorithms to select optimal "Outbreak Gold Standard (OGS)? and corresponding thresholds for outbreak detection. Data for infectious disease were organized by calendar week and year. The "Mean+2SD?, C1, C2, moving average (MA), seasonal model (SM), and cumulative sum (CUSUM) algorithms were applied. Outbreak signals for the predicted value (Px) were calculated using a percentile-based moving window. When the outbreak signals generated by an algorithm were in line with a Px generated outbreak signal for each week, this Px was then defined as the optimized threshold for that algorithm. In this study, six infectious diseases were selected and classified into TYPE A (chickenpox and mumps), TYPE B (influenza and rubella) and TYPE C [hand foot and mouth disease (HFMD) and scarlet fever]. Optimized thresholds for chickenpox (P55), mumps (P50), influenza (P40, P55, and P75), rubella (P45 and P75), HFMD (P65 and P70), and scarlet fever (P75 and P80) were identified. The C1, C2, CUSUM, SM, and MA algorithms were appropriate for TYPE A. All 6 algorithms were appropriate for TYPE B. C1 and CUSUM algorithms were appropriate for TYPE C. It is critical to incorporate more flexible algorithms as OGS into the CIDRAS and to identify the proper OGS and corresponding recommended optimized threshold by different infectious disease types.

Application of seasonal auto-regressive integrated moving average model in forecasting the incidence of hand-foot-mouth disease in Wuhan, China.

Outbreaks of hand-foot-mouth disease (HFMD) have occurred many times and caused serious health burden in China since 2008. Application of modern information technology to prediction and early response can be helpful for efficient HFMD prevention and control. A seasonal auto-regressive integrated moving average (ARIMA) model for time series analysis was designed in this study. Eighty-four-month (from January 2009 to December 2015) retrospective data obtained from the Chinese Information System for Disease Prevention and Control were subjected to ARIMA modeling. The coefficient of determination (R 2), normalized Bayesian Information Criterion (BIC) and Q-test P value were used to evaluate the goodness-of-fit of constructed models. Subsequently, the best-fitted ARIMA model was applied to predict the expected incidence of HFMD from January 2016 to December 2016. The best-fitted seasonal ARIMA model was identified as (1,0,1)(0,1,1)12, with the largest coefficient of determination (R 2=0.743) and lowest normalized BIC (BIC=3.645) value. The residuals of the model also showed non-significant autocorrelations (P Box-Ljung (Q)=0.299). The predictions by the optimum ARIMA model adequately captured the pattern in the data and exhibited two peaks of activity over the forecast interval, including a major peak during April to June, and again a light peak for September to November. The ARIMA model proposed in this study can forecast HFMD incidence trend effectively, which could provide useful support for future HFMD prevention and control in the study area. Besides, further observations should be added continually into the modeling data set, and parameters of the models should be adjusted accordingly.

Prehospital path in acute stroke. / Prehospitalt forløp ved akutt hjerneslag.

BACKGROUND: Too few patients with acute stroke receive thrombolytic therapy owing to the limited time window for treatment and prehospital delay. The purpose of this study is to describe the prehospital path for patients with acute stroke and, in particular, what distinguishes patients who contact the Emergency Medical Communication Centre (EMCC) from those who contact their general practitioner (GP) or Out-of-hours (OOH) services. MATERIAL AND METHOD: Patients with acute cerebral infarction and intracerebral haemorrhage admitted to the Stroke Unit, Department of Neurology, Akershus University Hospital, were included. Data on the prehospital path (prehospital delay, medical contacts) were collected over the period 15 April 2009 ­ 1 April 2010. RESULTS: A total of 299 patients were included in the study. The median age was 75 years and 48.5 % were women. In all, 63.9 % of patients with acute stroke called the EMCC, and 93.7 % of these were taken directly to hospital by ambulance. Of those who called the GP's office or OOH services, 60.7 % were asked to go to the GP's office or OOH services in person. Patients who called and attended the GP's office or OOH services had milder neurological deficits (p < 0.001) and longer patient delay (p = 0.018) than those who called the EMCC. INTERPRETATION: Six out of ten patients who contacted the primary health care services were asked to go to the GP's office/OOH services in person, which resulted in unnecessary delay. The findings from this study may indicate a need for specific training of this group of health care professionals in the prompt handling of patients with possible stroke.

Healthcare utilization in older patients using personal emergency response systems: an analysis of electronic health records and medical alert data : Brief Description: A Longitudinal Retrospective Analyses of healthcare utilization rates in older patients using Personal Emergency Response Systems from 2011 to 2015.

BACKGROUND: Personal Emergency Response Systems (PERS) are traditionally used as fall alert systems for older adults, a population that contributes an overwhelming proportion of healthcare costs in the United States. Previous studies focused mainly on qualitative evaluations of PERS without a longitudinal quantitative evaluation of healthcare utilization in users. To address this gap and better understand the needs of older patients on PERS, we analyzed longitudinal healthcare utilization trends in patients using PERS through the home care management service of a large healthcare organization. METHODS: Retrospective, longitudinal analyses of healthcare and PERS utilization records of older patients over a 5-years period from 2011-2015. The primary outcome was to characterize the healthcare utilization of PERS patients. This outcome was assessed by 30-, 90-, and 180-day readmission rates, frequency of principal admitting diagnoses, and prevalence of conditions leading to potentially avoidable admissions based on Centers for Medicare and Medicaid Services classification criteria. RESULTS: The overall 30-day readmission rate was 14.2%, 90-days readmission rate was 34.4%, and 180-days readmission rate was 42.2%. While 30-day readmission rates did not increase significantly (p = 0.16) over the study period, 90-days (p = 0.03) and 180-days (p = 0.04) readmission rates did increase significantly. The top 5 most frequent principal diagnoses for inpatient admissions included congestive heart failure (5.7%), chronic obstructive pulmonary disease (4.6%), dysrhythmias (4.3%), septicemia (4.1%), and pneumonia (4.1%). Additionally, 21% of all admissions were due to conditions leading to potentially avoidable admissions in either institutional or non-institutional settings (16% in institutional settings only). CONCLUSIONS: Chronic medical conditions account for the majority of healthcare utilization in older patients using PERS. Results suggest that PERS data combined with electronic medical records data can provide useful insights that can be used to improve health outcomes in older patients.

Recognising out-of-hospital cardiac arrest during emergency calls increases bystander cardiopulmonary resuscitation and survival.

BACKGROUND: Initiation of early bystander cardiopulmonary resuscitation (CPR) depends on bystanders' or medical dispatchers' recognition of out-of-hospital cardiac arrest (OHCA). The primary aim of our study was to investigate if OHCA recognition during the emergency call was associated with bystander CPR, return of spontaneous circulation (ROSC), and 30-day survival. Our secondary aim was to identify patient-, setting-, and dispatcher-related predictors of OHCA recognition. METHODS: We performed an observational study of all OHCA patients' emergency calls in the Capital Region of Denmark from 01/01/2013-31/12/2013. OHCAs were collected from the Danish Cardiac Arrest Registry and the Mobile Critical Care Unit database. Emergency call recordings were identified and evaluated. Multivariable logistic regression analyses were applied to all OHCAs and witnessed OHCAs only to analyse the association between OHCA recognition and bystander CPR, ROSC, and 30-day survival. Univariable logistic regression analyses were applied to identify predictors of OHCA recognition. RESULTS: We included 779 emergency calls in the analyses. During the emergency calls, 70.1% (n=534) of OHCAs were recognised; OHCA recognition was positively associated with bystander CPR (odds ratio [OR]=7.84, 95% confidence interval [CI]: 5.10-12.05) in all OHCAs; and ROSC (OR=1.86, 95% CI: 1.13-3.06) and 30-day survival (OR=2.80, 95% CI: 1.58-4.96) in witnessed OHCA. Predictors of OHCA recognition were addressing breathing (OR=1.76, 95% CI: 1.17-2.66) and callers located by the patient's side (OR=2.16, 95% CI: 1.46-3.19). CONCLUSIONS: Recognition of OHCA during emergency calls was positively associated with the provision of bystander CPR, ROSC, and 30-day survival in witnessed OHCA.

Lay persons alerted by mobile application system initiate earlier cardio-pulmonary resuscitation: A comparison with SMS-based system notification.

AIM: We compared the time to initiation of cardiopulmonary resuscitation (CPR) by lay responders and/or first responders alerted either via Short Message Service (SMS) or by using a mobile application-based alert system (APP). METHODS: The Ticino Registry of Cardiac Arrest collects all data about out-of-hospital cardiac arrests (OHCAs) occurring in the Canton of Ticino. At the time of a bystander's call, the EMS dispatcher sends one ambulance and alerts the first-responders network made up of police officers or fire brigade equipped with an automatic external defibrillator, the so called "traditional" first responders, and - if the scene was considered safe - lay responders as well. We evaluated the time from call to arrival of traditional first responders and/or lay responders when alerted either via SMS or the new developed mobile APP. RESULTS: Over the study period 593 OHCAs have occurred. Notification to the first responders network was sent via SMS in 198 cases and via mobile APP in 134 cases. Median time to first responder/lay responder arrival on scene was significantly reduced by the APP-based system (3.5 [2.8-5.2]) compared to the SMS-based system (5.6 [4.2-8.5] min, p 0.0001). The proportion of lay responders arriving first on the scene significantly increased (70% vs. 15%, p<0.01) with the APP. Earlier arrival of a first responder or of a lay responder determined a higher survival rate. CONCLUSIONS: The mobile APP system is highly efficient in the recruitment of first responders, significantly reducing the time to the initiation of CPR thus increasing survival rates.