Ambulance Density and Outcomes After Out-of-Hospital Cardiac Arrest.

BACKGROUND: In out-of-hospital cardiac arrest (OHCA), geographic disparities in outcomes may reflect baseline variations in patients' characteristics but may also result from differences in the number of ambulances providing basic life support (BLS) and advanced life support (ALS). We aimed at assessing the association between allocated ambulance resources and outcomes in OHCA patients in a large urban community. METHODS: From May 2011 to January 2016, we analyzed a prospectively collected Utstein database for all OHCA adults. Cases were geocoded according to 19 neighborhoods and the number of BLS (firefighters performing cardiopulmonary resuscitation and applying automated external defibrillator) and ALS ambulances (medicalized team providing advanced care such as drugs and endotracheal intubation) was collected. We assessed the respective associations of Utstein parameters, socioeconomic characteristics, and ambulance resources of these neighborhoods using a mixed-effect model with successful return of spontaneous circulation as the primary end point and survival at hospital discharge as a secondary end point. RESULTS: During the study period, 8754 nontraumatic OHCA occurred in the Greater Paris area. Overall return of spontaneous circulation rate was 3675 of 8754 (41.9%) and survival rate at hospital discharge was 788 of 8754 (9%), ranging from 33% to 51.1% and from 4.4% to 14.5% respectively, according to neighborhoods ( P<0.001). Patient and socio-demographic characteristics significantly differed between neighborhoods ( P for trend <0.001). After adjustment, a higher density of ambulances was associated with successful return of spontaneous circulation (respectively adjusted odds-ratio [aOR], 1.31 [1.14-1.51]; P<0.001 for ALS ambulances >1.5 per neighborhood and aOR, 1.21 [1.04-1.41]; P=0.01 for BLS ambulances >4 per neighborhood). Regarding survival at discharge, only the number of ALS ambulances >1.5 per neighborhood was significant (aOR, 1.30 [1.06-1.59] P=0.01). CONCLUSIONS: In this large urban population-based study of out-of-hospital cardiac arrests patients, we observed that allocated resources of emergency medical service are associated with outcome, suggesting that improving healthcare organization may attenuate disparities in prognosis.

Qualitative evaluation of trauma delays in road traffic injury patients in Maringá, Brazil.

BACKGROUND: Road traffic injuries (RTIs) are the eighth leading cause of death worldwide, with an estimated 90% of RTIs occurring in low- and middle-income countries (LMICs) like Brazil. There has been minimal research in evaluation of delays in transport of RTI patients to trauma centers in LMICs. The objective of this study is to determine specific causes of delays in prehospital transport of road traffic injury patients to designated trauma centers in Maringá, Brazil. METHODS: A qualitative method was used based on the Consolidated Criteria for Reporting Qualitative Research (COREQ) approach. Eleven health care providers employed at prehospital or hospital settings were interviewed with questions specific to delays in care for RTI patients. A thematic analysis was conducted. RESULTS: Responses to primary causes of delay in treatment to RTI patients fell into the following categories: 1) lack of public education, 2) traffic, 3) insufficient personnel/ambulances, 4) bureaucracy, and 5) poor location of stations. Suggestions for improvement in delays fell into the categories of 1) need for centralized station/avoid traffic, 2) improving public education, 3) Increase personnel, 4) increase ambulances, 5) proper extrication/rapid treatment. CONCLUSION: Our study found varied responses between hospital and SAMU providers regarding specific causes of delay for RTI patients; SAMU providers cited primarily traffic, bureaucracy, and poor location as primary factors while hospital employees focused more on public health aspects. These results mirror prehospital system challenges in other developing countries, but also provide solutions for improvement with better infrastructure and public health campaigns.

Improved outcome in Sweden after out-of-hospital cardiac arrest and possible association with improvements in every link in the chain of survival.

AIMS: To describe out-of-hospital cardiac arrest (OHCA) in Sweden from a long-term perspective in terms of changes in outcome and circumstances at resuscitation. METHODS AND RESULTS: All cases of OHCA (n = 59,926) reported to the Swedish Cardiac Arrest Register from 1992 to 2011 were included. The number of cases reported (n/100,000 person-years) increased from 27 (1992) to 52 (2011). Crew-witnessed cases, cardiopulmonary resuscitation prior to the arrival of the emergency medical service (EMS), and EMS response time increased (P < 0.0001). There was a decrease in the delay from collapse to calling for the EMS in all patients and from collapse to defibrillation among patients found in ventricular fibrillation (P < 0.0001). The proportion of patients found in ventricular fibrillation decreased from 35 to 25% (P < 0.0001). Thirty-day survival increased from 4.8 (1992) to 10.7% (2011) (P < 0.0001), particularly among patients found in a shockable rhythm and patients with return of spontaneous circulation (ROSC) at hospital admission. Among patients hospitalized with ROSC in 2008-2011, 41% underwent therapeutic hypothermia and 28% underwent percutaneous coronary intervention. Among 30-day survivors in 2008-2011, 94% had a cerebral performance category score of 1 or 2 at discharge from hospital and the results were even better if patients were found in a shockable rhythm. CONCLUSION: From a long-term perspective, 30-day survival after OHCA in Sweden more than doubled. The increase in survival was most marked among patients found in a shockable rhythm and those hospitalized with ROSC. There were improvements in all four links in the chain of survival, which might explain the improved outcome.

Time-dependent ambulance allocation considering data-driven empirically required coverage.

Empirical studies considering the location and relocation of emergency medical service (EMS) vehicles in an urban region provide important insight into dynamic changes during the day. Within a 24-hour cycle, the demand, travel time, speed of ambulances and areas of coverage change. Nevertheless, most existing approaches in literature ignore these variations and require a (temporally and spatially) fixed (double) coverage of the planning area. Neglecting these variations and fixation of the coverage could lead to an inaccurate estimation of the time-dependent fleet size and individual positioning of ambulances. Through extensive data collection, now it is possible to precisely determine the required coverage of demand areas. Based on data-driven optimization, a new approach is presented, maximizing the flexible, empirically determined required coverage, which has been adjusted for variations due to day-time and site. This coverage prevents the EMS system from unavailability of ambulances due to parallel operations to ensure an improved coverage of the planning area closer to realistic demand. An integer linear programming model is formulated in order to locate and relocate ambulances. The use of such a programming model is supported by a comprehensive case study, which strongly suggests that through such a model, these objectives can be achieved and lead to greater cost-effectiveness and quality of emergency care.

Reducing ambulance response times using discrete event simulation.

OBJECTIVES: The objectives of this study are to develop a discrete-event simulation (DES) model for the Singapore Emergency Medical Services (EMS), and to demonstrate the utility of this DES model for the evaluation of different policy alternatives to improve ambulance response times. METHODS: A DES model was developed based on retrospective emergency call data over a continuous 6-month period in Singapore. The main outcome measure is the distribution of response times. The secondary outcome measure is ambulance utilization levels based on unit hour utilization (UHU) ratios. The DES model was used to evaluate different policy options in order to improve the response times, while maintaining reasonable fleet utilization. RESULTS: Three policy alternatives looking at the reallocation of ambulances, the addition of new ambulances, and alternative dispatch policies were evaluated. Modifications of dispatch policy combined with the reallocation of existing ambulances were able to achieve response time performance equivalent to that of adding 10 ambulances. The median (90th percentile) response time was 7.08 minutes (12.69 minutes). Overall, this combined strategy managed to narrow the gap between the ideal and existing response time distribution by 11-13%. Furthermore, the median UHU under this combined strategy was 0.324 with an interquartile range (IQR) of 0.047 versus a median utilization of 0.285 (IQR of 0.051) resulting from the introduction of additional ambulances. CONCLUSIONS: Response times were shown to be improved via a more effective reallocation of ambulances and dispatch policy. More importantly, the response time improvements were achieved without a reduction in the utilization levels and additional costs associated with the addition of ambulances. We demonstrated the effective use of DES as a versatile platform to model the dynamic system complexities of Singapore's national EMS systems for the evaluation of operational strategies to improve ambulance response times.

The prehospital burden of disease due to trauma in KwaZulu-Natal: the need for Afrocentric trauma systems.

BACKGROUND: Trauma is one of the leading prehospital disease profiles in South Africa in general and in KwaZulu-Natal (KZN) in particular. The present study was designed to review the prehospital burden of injury in KZN, identify trauma burden to ambulance ratios, analyze system deficiencies, and propose a prehospital trauma system that is Afrocentric in nature. METHODS: Approval from the relevant ethics authorities was obtained. Using a convenience data set all Emergency Medical Service (EMS) call data for the months of March and September 2010 were reviewed for the three main EMS providers in KZN. Data were extrapolated to annual data and placed in the context of population, ambulance service, and facility. The data were then mapped for area distribution and prehospital workload relative to the entire province. Questionnaire-based assessments of knowledge and deficiencies of the current system were completed by senior officers of the provincial system as part of the analysis of the current system. RESULTS: The total annual call burden for trauma ranges between 94,840 and 101,420, or around 11.6 trauma calls per thousand of the population per year. Almost 70 % of calls were either for interpersonal intentional violence or vehicular collisions. Only 0.25 % of calls involved aeromedical resources. Some 80 % of patients were considered to be moderately to seriously injured, yet only 41 % of the patients were transported to a suitable level of care immediately, with many going to inappropriate lower level care facilities. Many rural calls are not attended within the time norms accepted nationally. Deficiencies noted by the questionnaire survey are the general lack of a bypass mechanism and the feeling among staff that most EMS bases do not have a bypass option or feel part of a system of care, despite large numbers of staff having been recently trained in triage and major trauma care. CONCLUSIONS: The prehospital trauma burden in KZN is significant and consumes vital resources and gridlocks facilities. A prehospital trauma system that is financially sustainable and meets the needs of the trauma burden is proposed to enable Afrocentric emergency care planning for low and middle income regions.

[Emergency medical services for the elderly: present fact and future challenge].

The Tokyo Fire Department (TFD) ambulance units are transporting more people than ever before with elderly patients on the increase. The TFD then set up the Emergency Telephone Consultation Center in 2007 to help citizens properly use EMS services, asking non-emergency cases to go to the hospital by themselves or sending the ambulance to serious cases. Transportation of all "home patients" (receiving medical services at home, not in the hospital) by fire department ambulances would leave really serious patients behind. Consequently, it is important to make the most of private sector ambulances and hospital ones. For community life safety, making the most of local resources, as well as the fire department-hospital cooperation, is much more needed now.

Ambulance diversion reduction and elimination: the 3-2-1 plan.

BACKGROUND: The diversion of ambulances from their intended emergency departments (EDs) occurs frequently, compromising patient care. Previously, we reduced ambulance diversion (AD) by 74% in a large urban area with 17 EDs. OBJECTIVES: In this follow-up program, we sought to further reduce and eliminate AD by progressively reducing the duration of each AD event. METHODS: Using tight diversion criteria, AD at each ED was limited by protocol to 3h at a stretch, after which incoming ambulances had to be accepted at that ED for at least 1h. After 6 months, AD was limited to 2h per diversion event; after another 6 months, AD was limited to 1h. The monitoring for AD was programmed into a region-wide, Internet-based Emergency Medical Services (EMS) program. RESULTS: Total annual AD decreased from 8469 h in 2006 (pre-implementation) to 4592 h in 2007 (during implementation), and finally to 2439 h and 2306 h in 2008 and 2009 (post-implementation), respectively, an 87.4% (95% confidence interval 64.6-95.5%) reduction, and one county within the region eliminated AD altogether. From 2006 to 2009, overall increases were noted in EMS arrivals (7.8%), ED census (13.0%), hospital admissions (6.6%), Intensive Care Unit admissions (17.1%), and overall Sacramento population (1.9%). CONCLUSIONS: By limiting the duration of AD events to progressively shorter periods of time using a region-wide, Internet-based EMS program, we reduced AD hours in 17 EDs by 87.4% and eliminated AD in one entire county. This original, collaborative 3-2-1 Plan may be readily reproduced across the country to progressively reduce and eliminate AD.

Telemedicine to a moving ambulance improves outcome after trauma in simulated patients.

BACKGROUND: Rural trauma victims often require prolonged transport by s with limited scopes of practice. We evaluated the impact of telemedicine (TM) to a moving ambulance on outcomes in simulated trauma patients. METHODS: This is an institutional review board approved, prospective double-blind study. Three trauma scenarios (blunt torso trauma, epigastric stab wound, and closed head injury) were created for a human patient simulator. Intermediate emergency medical technicians (EMTs; n = 20) managed the human patient simulator, in a moving ambulance. In the TM group, physicians (n = 12) provided consultation. In the non-TM group, EMTs communicated with medical control by radio, as necessary. We tabulated the fraction of 13 key signs, 5 pathologic processes, and 12 key interventions that were performed. Vital signs and Sao2 (%) were recorded. Data were compared using the Wilcoxon rank-sum test. RESULTS: Lowest Sao2 (84 ± 0.7 vs. 78 ± 0), lowest systolic blood pressure (70 ± 1 vs. 53 ± 1), and highest heart rate (144 ± 0.9 vs. 159 ± 0.5) were significantly improved in the TM group (p < 0.001). Recognition rates for key signs (0.96 ± 0.01 vs. 0.79 ± 0.05), processes (0.98 ± 0.02 vs. 0.75 ± 0.05), and critical interventions (0.92 ± 0.02 vs. 0.49 ± 0.03) were higher in the TM group (p < 0.003). EMTs were successfully guided through needle decompression procedures in 22 of 24 cases (zero in the non-TM group). CONCLUSION: TM to a moving ambulance improved the care of simulated trauma patients. Furthermore, procedurally naïve EMTs were able to perform needle thoracostomy and pericardiocentesis with TM guidance.

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.

Ambulance need at mass gatherings.

INTRODUCTION: Scant evidence exists to guide policy-making around public health needs during mass gatherings. In 2006, the City and County of San Francisco began requiring standby ambulances at all mass gatherings with attendance of >15,500 people. The objectives were to evaluate needs for ambulances at mass gatherings, and to make evidence-based recommendations for public health policy-makers. The hypothesis was that the needs for ambulances at mass gatherings can be estimated using community baseline data. METHODS: Emergency medical services plans were reviewed for all public events with an anticipated attendance of >1,000 people in San Francisco County during the 12-month period 01 August 2006 through 31 July 2007. Ambulance transport data were confirmed by event coordinators and ambulance company records, and the rate was calculated by dividing ambulance transports by event attendance. Baseline ambulance transport rate was calculated by dividing the annual ambulance transports in the county's computer-aided dispatch system by the census population estimate. The risk ratio was calculated using the risk of transport from a mass gathering compared with the baseline risk of ambulance transport for the local community. Significance testing and confidence intervals were calculated. RESULTS: Descriptive information was available for 100% of events and ambulance transport data available for 97% of events. The majority of the mass gatherings (47 unique events; 59 event days) were outdoor, weekend festivals, parades, or concerts, though a large proportion were athletic events. The ambulance transport rate from mass gatherings was 1 per 59,000 people every six hours. Baseline ambulance transport rate in San Francisco was 1 per 20,000 people every six hours. The transport rate from mass gatherings was significantly lower than the community baseline (risk ratio [RR]=0.15, 95% CI=0.10-0.22, p<0.001). At events reserving a standby ambulance, 46% of ambulances were unused. DISCUSSION: San Francisco mass gatherings appear to present a lower risk of ambulance transports compared to the community baseline, suggesting that the community baseline sets an appropriate standard for requiring standby ambulances at mass gatherings. The initial ambulance requirement policy in San Francisco may have been overly conservative. CONCLUSIONS: Local baseline data is a recommended starting point when setting policy for public health needs at mass gatherings.

A mathematical model for efficient ambulance location based on DSM-MALP integration.

Optimal location of medical facilities and vehicles is one of the most crucial aspects of emergency services such that even slight improvements in this regard can save the lives of many people. In the large cities suffering from fluctuating population distribution and traffic congestion, finding the optimal location of ambulance stations can significantly reduce patient mortality due to delay of medical service and thus increase the efficiency of the healthcare sector. This study investigated the current status of ambulance service provided in four districts of Isfahan city (Iran) and assessed the potential for improvement in availability by increasing the number of ambulances and relocating the stations. The main objective of this work is to integrate two ambulance location methods, ie, double standard model (DSM) and maximum availability location problem (MALP), to develop a static probabilistic model, which allows covering radius of stations to be increased according to ambulance availability factor. The efficiency of the developed method was assessed by sensitivity analysis through four different approaches, all indicating an increase in the efficiency compared to the default model.

Barriers to achieving care at home at the end of life: transferring patients between care settings using patient transport services.

Enabling patients to be cared for in their preferred location often involves journeys between care settings. The challenge of ensuring journeys are timely and safe emerged as an important issue in an evaluation of palliative care services, which informed a service redesign programme in three areas of the United Kingdom by the Marie Curie Cancer Care 'Delivering Choice Programme'. This article explores perceptions of service users and key stakeholders of palliative care services about problems encountered in journeys between care settings during end-of-life care. This article draws on data from interviews with stakeholders (n = 44), patients (n = 16), carers (n = 19) and bereaved carers (n = 20); and focus groups (n = 9) with specialist nurses. Data were gathered in three areas of the United Kingdom. Data were analysed using a framework approach. Transport problems between care settings emerged as a key theme. Four particular problems were identified: (1) urgent need for transport due to patients' rapidly changing condition; (2) limited time to organise transfers; (3) the management of specialist equipment and (4) the need to clarify the resuscitation status of patients. Partnership working between Ambulance Services and secondary care is required to develop joint protocols of care to ensure timely and safe transportation between care settings of patients, who are near their end of life. Commissioning of services should be responsive to the complexities of patients' needs and those of their families.

Prehospital time and mortality in patients requiring a highest priority emergency medical response: a Danish registry-based cohort study.

OBJECTIVE: To examine the association between time from emergency medical service vehicle dispatch to hospital arrival and 1-day and 30-day mortality. DESIGN: Register-based cohort study. SETTING: North Denmark Region (≈8000 km2, catchment population ≈600 000). PARTICIPANTS: We included all highest priority dispatched ambulance transports in North Denmark Region in 2006-2012. INTERVENTIONS: Using logistic regression and the g-formula approach, we examined the association between time from emergency dispatch to hospital arrival and mortality for presumed heart, respiratory, cerebrovascular and other presumed medical conditions, as well as traffic or other accidents, as classified by emergency dispatch personnel. MAIN OUTCOME MEASURES: 1-day and 30-day mortality. RESULTS: Among 93 167 individuals with highest priority ambulances dispatched, 1948 (2.1%) were dead before the ambulance arrived and 19 968 (21.4%) were transported to the hospital under highest priority (median total prehospital time from dispatch to hospital arrival 47 min (25%-75%: 35-60 min); 95th percentile 84 min). Among 18 709 with population data, 1-day mortality was 10.9% (n=2038), and was highest for patients with dyspnoea (20.4%) and lowest for patients with traffic accidents (2.8%). Thirty-day mortality was 18.3% and varied between 36.6% (patients with dyspnoea) and 3.7% (traffic accidents). One-day mortality was not associated with total prehospital time, except for presumed heart conditions, where longer prehospital time was associated with decreased mortality: adjusted OR for >60 min vs 0-30 min was 0.61 (95% CI 0.40 to 0.91). For patients with dyspnoea, OR for >60 min vs 0-30 min was 0.90 (95% CI 0.56 to 1.45), for presumed cerebrovascular conditions OR 1.41 (95% CI 0.53 to 3.78), for other presumed medical conditions OR 0.84 (95% CI 0.70 to 1.02), for traffic accidents OR 0.65 (95% CI 0.29 to 1.48) and for other accidents OR 0.84 (95% CI 0.47 to 1.51). Similar findings were found for 30-day mortality. CONCLUSIONS: In this study, where time from emergency dispatch to hospital arrival mainly was <80 min, there was no overall relation between this prehospital time measure and mortality.

Two-Tiered Ambulance Dispatch and Redeployment considering Patient Severity Classification Errors.

A two-tiered ambulance system, consisting of advanced and basic life support for emergency and nonemergency patient care, respectively, can provide a cost-efficient emergency medical service. However, such a system requires accurate classification of patient severity to avoid complications. Thus, this study considers a two-tiered ambulance dispatch and redeployment problem in which the average patient severity classification errors are known. This study builds on previous research into the ambulance dispatch and redeployment problem by additionally considering multiple types of patients and ambulances, and patient classification errors. We formulate this dynamic decision-making problem as a semi-Markov decision process and propose a mini-batch monotone-approximate dynamic programming (ADP) algorithm to solve the problem within a reasonable computation time. Computational experiments using realistic system dynamics based on historical data from Seoul reveal that the proposed approach and algorithm reduce the risk level index (RLI) for all patients by an average of 11.2% compared to the greedy policy. In this numerical study, we identify the influence of certain system parameters such as the percentage of advanced-life support units among all ambulances and patient classification errors. A key finding is that an increase in undertriage rates has a greater negative effect on patient RLI than an increase in overtriage rates. The proposed algorithm delivers an efficient two-tiered ambulance management strategy. Furthermore, our findings could provide useful guidelines for practitioners, enabling them to classify patient severity in order to minimize undertriage rates.

Improving ambulance coverage in a mixed urban-rural region in Norway using mathematical modeling.

BACKGROUND: Ambulance services play a crucial role in providing pre-hospital emergency care. In order to ensure quick responses, the location of the bases, and the distribution of available ambulances among these bases, should be optimized. In mixed urban-rural areas, this optimization typically involves a trade-off between backup coverage in high-demand urban areas and single coverage in rural low-demand areas. The aim of this study was to find the optimal distribution of bases and ambulances in the Vestfold region of Norway in order to optimize ambulance coverage. METHOD: The optimal location of bases and distribution of ambulances was estimated using the Maximum Expected Covering Location Model. A wide range of parameter settings were fitted, with the number of ambulances ranging from 1 to 15, and an average ambulance utilization of 0, 15, 35 and 50%, corresponding to the empirical numbers for night, afternoon and day, respectively. We performed the analysis both conditioned on the current base structure, and in a fully greenfield scenario. RESULTS: Four of the five current bases are located close to the mathematical optimum, with the exception of the northernmost base, in the rural part of the region. Moving this base, along with minor changes to the location of the four other bases, coverage can be increased from 93.46% to 97.51%. While the location of the bases is insensitive to the workload of the system, the distribution of the ambulances is not. The northernmost base should only be used if enough ambulances are available, and this required minimum number increases significantly with increasing system workload. CONCLUSION: As the load of the system increases, focus of the model shifts from providing single coverage in low-demand areas to backup coverage in high-demand areas. The classification rule for urban and rural areas significantly affects results and must be evaluated accordingly.

Transportation capacity for patients with highly infectious diseases in Europe: a survey in 16 nations.

Highly infectious diseases (HIDs) are defined as being transmissible from person to person, causing life-threatening illnesses and presenting a serious public health hazard. In most European Union member states specialized isolation facilities are responsible for the management of such cases. Ground ambulances are often affiliated with those facilities because rapid relocation of patients is most desirable. To date, no pooled data on the accessibility, technical specifications and operational procedures for such transport capacities are available. During 2009, the 'European Network for HIDs' conducted a cross-sectional analysis of hospitals responsible for HID patients in Europe including an assessment of (a) legal aspects; (b) technical and infrastructure aspects; and (c) operational procedures for ground ambulances used for HID transport. Overall, 48 isolation facilities in 16 European countries were evaluated and feedback rates ranged from 78% to 100% (n = 37 to n = 48 centres). Only 46.8% (22/47) of all centres have both national and local guidelines regulating HID patient transport. If recommended, specific equipment is found in 90% of centres (9/10), but standard ambulances in only 6/13 centres (46%). Exclusive entrances (32/45; 71%) and pathways (30/44; 68.2%) for patient admission, as well as protocols for disinfection of ambulances (34/47; 72.3%) and equipment (30/43; 69.8%) exist in most centres. In conclusion, the availability and technical specifications of ambulances broadly differ, reflecting different preparedness levels within the European Union. Hence, regulations for technical specifications and operational procedures should be harmonized to promote patient and healthcare worker safety.

Geographic analysis of ambulance availability in Arkansas.

In keeping with emergency medical services (EMS) industry standards, response time requirements of EMS units in Arkansas are temporally based and reflect traditionally accepted concepts of reasonable access to emergency care services. However, time-centric response standards may be unrealistic and may place ambulance staff and patients at risk, particularly during mass casualty events. In view of the availability of current technology to efficiently re-route EMS units on the basis of geographic realities, traditional 4-minute and 8-minute response time standards should be reevaluated and replaced by or added to standards that emphasize spatially based objectives.

Prehospital emergency medical services in Malaysia.

Once a very slowly developing country in a Southeast Asia region, Malaysia has undergone considerable change over the last 20 years after the government changed its focus from agriculture to developing more industry and technology. The well-known "Vision 2020," introduced by the late Prime Minister, set a target for the nation to be a developed country in the Asia region by the year 2020. As the economy and standard of living have improved, the demand from the public for a better health care system, in particular, emergency medical services (EMS), has increased. Despite the effort by the government to improve the health care system in Malaysia, EMS within the country are currently limited, best described as being in the "developing" phase. The Ministry of Health, Ministry of Education, Civil Defense, and non-governmental organizations such as Red Crescent and St. John's Ambulance, provide the current ambulance services. At the present time, there are no uniform medical control or treatment protocols, communication systems, system management, training or education, or quality assurance policies. However, the recent development of and interest in an Emergency Medicine training program has gradually led to improved EMS and prehospital care.

Distribution of casualties in a mass-casualty incident with three local hospitals in the periphery of a densely populated area: lessons learned from the medical management of a terrorist attack.

INTRODUCTION: A mass-casualty incident (MCI) can occur in the periphery of a densely populated area, away from a metropolitan area. In such circumstances, the medical management of the casualties is expected to be difficult because the nearest hospital and the emergency medical services (EMS), only can offer limited resources. When coping with these types of events (i.e., limited medical capability in the nearby medical facilities), a quick response time and rational triage can have a great impact on the outcome of the victims. The objective of this study was to identify the lessons learned from the medical response to a terrorist attack that occurred on 05 December 2005, in Netanya, a small Israeli city. METHODS: Data were collected during and after the event from formal debriefings and from patient files. The data were processed using descriptive statistics and compared to those from previous events. The event is described according to Disastrous Incidents Systematic Analysis Through Components, Interactions, Results (DISAST-CIR) methodology. RESULTS: Four victims and the terrorist died as a result of this suicide bombing. A total of 131 patients were evacuated (by EMS or self-evacuation) to three nearby hospitals. Due to the proximity of the event to the ambulance dispatch station, the EMS response was quick. The first evacuation took place only three minutes after the explosion. Non-urgent patients were diverted to two close-circle hospitals, allowing the nearest hospital to treat urgent patients and to receive the majority of self-evacuated patients. The nearest hospital continued to receive patients for >6 hours after the explosion, 57 of them (78%) were self-evacuated. CONCLUSION: The distribution of casualties from the scene plays a vital role in the management of a MCI that occurs in the outskirts of a densely populated area. Non-urgent patients should be referred to a hospital close to the scene of the event, but not the closest hospital. The nearest hospital should be prepared to treat urgent casualties, as well as a large number of self-evacuated patients.