Utilization of emergency medical services in a large urban area: description of call types and temporal trends

Emergency department pediatric mental and behavioral health patients transported by EMS and police: Trends and interventions

OBJECTIVE

We aimed to understand transport utilization trends, demographics, Emergency Department (ED) interventions, and outcomes of pediatric mental and behavioral health (MBH) patients transported by emergency medical services (EMS), police, or self-transported.

METHODS

This retrospective cohort study utilized electronic health record data from patients aged 5-18 years presenting with acute MBH conditions at two affiliated pediatric EDs from January 2012 to December 2020. Data included demographics, ED interventions for aggression/agitation, Brief Rating of Aggression by Children and Adolescents (BRACHA) scores, and ED dispositions. Descriptive statistics and comparative analyses were conducted using Chi-square, Wilcoxon rank sum tests, and multivariable logistic regression. Linear regression analyzed trends.

RESULTS

Of 440,302 ED encounters, 70,557 (16%) were for acute MBH concerns, with 14.6% transported by EMS and 5.9% by police. The proportion of MBH visits increased from 9.9% in 2012 to 19.8% in 2020 (95% CI [0.7, 1.7], p = 0.0009), with a concurrent 0.4% annual increase in those transported by EMS (95% CI [0.2, 0.6], p = 0.006). MBH patients transported by EMS and police had significantly higher odds of requiring restraint in the ED and were more likely to have higher BRACHA scores, and to be admitted compared to self-transported patients (all comparisons p < 0.001).

CONCLUSIONS

Pediatric MBH ED visits and EMS utilization are increasing. MBH patients transported by EMS and police may represent a more aggressive ED population. Given the rising encounters within this high-risk population, our EDs, EMS, and police need support and resources for safe pediatric MBH patient management.

WHAT'S NEW

With higher numbers of pediatric mental and behavioral health (MBH) patients transported by EMS or police requiring ED interventions for agitation/aggression, this study reveals insights into their high-acuity. Notably unique, it includes pediatric MBH patients transported by police.

Increasing emergency number utilisation is not driven by low-acuity calls: an observational study of 1.5 million emergency calls (2018-2021) from Berlin

BACKGROUND

The Emergency Medical Service (EMS) in Germany is increasingly challenged by strongly rising demand. Speculations about a greater utilisation for minor cases have led to intensive media coverage, but empirical evidence is lacking. We investigated the development of low-acuity calls from 2018 to 2021 in the federal state of Berlin and its correlations with sociodemographic characteristics.

METHODS

We analysed over 1.5 million call documentations including medical dispatch codes, age, location and time using descriptive and inferential statistics and multivariate binary logistic regression. We defined a code list to classify low-acuity calls and merged the dataset with sociodemographic indicators and data on population density.

RESULTS

The number of emergency calls (phone number 112 in Germany) increased by 9.1% from 2018 to 2021; however, the proportion of low-acuity calls did not increase. The regression model shows higher odds of low-acuity for young to medium age groups (especially for age 0-9, OR 1.50 [95% CI 1.45-1.55]; age 10-19, OR 1.77 [95% CI 1.71-1.83]; age 20-29, OR 1.64 [95% CI 1.59-1.68] and age 30-39, OR 1.40 [95% CI 1.37-1.44]; p < 0.001, reference group 80-89) and for females (OR 1.12 [95% CI 1.1-1.13], p < 0.001). Odds were slightly higher for calls from a neighbourhood with lower social status (OR 1.01 per index unit increase [95% CI 1.0-1.01], p < 0.05) and at the weekend (OR 1.02 [95% CI 1.0-1.04, p < 0.05]). No significant association of the call volume with population density was detected.

CONCLUSIONS

This analysis provides valuable new insights into pre-hospital emergency care. Low-acuity calls were not the primary driver of increased EMS utilisation in Berlin. Younger age is the strongest predictor for low-acuity calls in the model. The association with female gender is significant, while socially deprived neighbourhoods play a minor role. No statistically significant differences in call volume between densely and less densely populated regions were detected. The results can inform the EMS in future resource planning.

Comparison of the Scope of Practice of the Army Combat Medic Specialist and Civilian National EMS Certification Levels

INTRODUCTION

The transition of Army Combat Medic Specialists (Military Occupational Specialty Code: 68W) from military to civilian emergency medical services (EMS) is challenging, and the pathway is not clearly defined. Our objective was to evaluate the current military requirements for 68W and how they compare to the 2019 EMS National Scope of Practice Model (SoPM) for the civilian emergency medical technician (EMT) and advanced emergency medical technician (AEMT).

METHODS

This was a cross-sectional evaluation of the 68W skill floor as defined by the Soldier's Manual and Trainer's Guide Healthcare Specialist and Medical Education and Demonstration of Individual Competence in comparison to the 2019 SoPM, which categorizes EMS tasks into seven skill categories. Military training documents were reviewed and extracted for specific information on military scope of practice and task-specific training requirements. Descriptive statistics were calculated.

RESULTS

Army 68Ws were noted to perform all (59/59) tasks that coincide with the EMT SoPM. Further, Army 68W practiced above scope in the following skill categories: airway/ventilation (3 tasks); medication administration route (7 tasks); medical director approved medication (6 tasks); intravenous initiation maintenance fluids (4 tasks); and miscellaneous (1 task). Army 68W perform 96% (74/77) of tasks aligned with the AEMT SoPM, excluding tracheobronchial suctioning of an intubated patient, end-tidal CO2 monitoring or waveform capnography, and inhaled nitrous oxide monitoring. Additionally, the 68W scope included six tasks that were above the SoPM for AEMT; airway/ventilation (2 tasks); medication administration route (2 tasks); and medical director approved medication (2 tasks).

CONCLUSIONS

The scope of practice of U.S. Army 68W Combat Medics aligns well with the civilian 2019 Scope of Practice Model for EMTs and AEMTs. Based on the comparative scope of practice analysis, transitioning from Army 68W Combat Medic to civilian AEMT would require minimal additional training. This represents a promising potential workforce to assist with EMS workforce challenges. Although aligning the scope of practice is a promising first step, future research is needed to assess the relationship of Army 68Ws training with state licensure and certification equivalency to facilitate this transition.

Policy-Relevant Indicators of Urban Emergency Medical Services COVID-19-Patient Encounters

In the first two years of the COVID-19 pandemic, members of Boston Emergency Medical Services, the City of Boston's municipal ambulance service, had 7,689 encounters with confirmed-positive Boston residents. As COVID-19 virus strains continue to infect residents in Boston and across the country, understanding the correlation between population positivity, EMS encounters, and hospitalizations can inform healthcare response. This study examines urban virus-surveillance indicators that can serve as an early warning of the volume of Emergency Medical Services (EMS) encounters with COVID-19 positive patients and subsequently how EMS encounters with confirmed COVID-19 patients can serve as an early indicator of future hospital-demand surges. With daily data from Boston EMS and three other public agencies, we evaluate the relationship between five indicators and confirmed Boston EMS COVID-19 encounters by estimating separate Auto Regressive Integrated Moving Average models and cross-correlating their residuals. This study finds a significant and positive correlation between new COVID-19 cases citywide and EMS encounters 6 days later (p < 0.01), as well as between confirmed EMS encounters with COVID-19 patients and the number of intensive care unit beds occupied 7- and 18 -days later (p < 0.01). This study provides city health leadership needed clarity on the specific ordering and associated time lag in which infections in the population increase, EMS members encounter positive patients, and hospitals deliver care.

The impact of COVID-19 on myocardial infarctions, strokes and out-of-hospital cardiopulmonary arrests: an observational retrospective study on time-sensitive disorders in the Friuli Venezia Giulia region (Italy)

The COVID-19 global pandemic has changed considerably the way time-sensitive disorders are treated. Home isolation, people's fear of contracting the virus and hospital reorganisation have led to a significant decrease in contacts between citizens and the healthcare system, with an expected decrease in calls to the Emergency Medical Services (EMS) of the Friuli-Venezia Giulia (FVG) region. However, mortality in clinical emergencies like acute ST-elevation myocardial infarction (STEMI), stroke and out-of-hospital cardiopulmonary arrest (OHCA) remained high. An observational retrospective cross-sectional study was carried out in FVG, taking into account the period between March 1, 2020, and May 31, 2020, the first wave of the COVID-19 pandemic, and comparing it with the same period in 2019. The flow of calls to the EMS was analysed and COVID-19 impact on time-sensitive disorders (STEMIs, ischemic strokes and OHCPAs) was measured in terms of hospitalisation, treatment and mortality. Despite a -8.01% decrease (p value ˂0.001) in emergency response, a 10.89% increase in calls to the EMS was observed. A lower number of advanced cardiopulmonary resuscitations (CPR) (75.8 vs 45.2%, p=0.000021 in April) and ROSC (39.1 vs 11.6%, p=0.0001 in April) was remarked, and survival rate dropped from 8.5 to 5%. There were less strokes (-27.5%, p value=0.002) despite a more severe onset of symptoms at hospitalisation with NHISS˃10 in 38.47% of cases. Acute myocardial infarctions decreased as well (-20%, p value=0.05), but statistical significances were not determined in the variables considered and in mortality. Despite a lower number of emergency responses, the number of calls to the EMS was considerably higher. The number of cardiac arrests treated with advanced CPR (ALS) was lower, but mortality was higher. The number of strokes decreased as well, but at the time of hospitalisation the clinical picture of the patient was more severe, thus affecting the outcome when the patient was discharged. Finally, STEMI patients decreased; however, no critical issues were observed in the variables taken into account, neither in terms of response times nor in terms of treatment times.

Evaluation of a Police-Mental Health Co-response Team Relative to Traditional Police Response in Indianapolis

OBJECTIVE

Criminal justice and emergency medical service (EMS) outcomes were compared for individuals experiencing a behavioral health crisis who received a response from a co-response team (CRT) or a usual response from the police after a 911 call.

METHODS

A prospective, quasi-experimental design was used to examine outcomes of a CRT pilot tested in Indianapolis (August-December 2017). Weighted multivariable models examined effects of study condition (CRT group, N=313; usual-response group, N=315) on immediate booking, emergency detention, and subsequent jail bookings and EMS encounters. Sensitivity of outcomes to follow-up by a behavioral health unit (BHU) was also examined.

RESULTS

Individuals in the CRT group were less likely than those in the usual-police-response group to be arrested immediately following the 911 incident (odds ratio [OR]=0.48, 95% confidence interval [CI]=0.25-0.92) and were more likely to experience any EMS encounter at 6- and 12-month follow-up (OR range=1.71-1.85, p≤0.015 for all). Response type was not associated with jail bookings at 6 or 12 months. Follow-up BHU services did not reduce bookings or EMS encounters. CRT recipients with BHU follow-up were more likely than those without BHU follow-up to have a subsequent EMS contact (OR range=2.35-3.12, p≤0.001 for all). These findings differed by racial group.

CONCLUSIONS

CRT responses may reduce short-term incarceration risk but not long-term EMS demand or risk of justice involvement. Future research should consider the extent to which CRT and follow-up services improve engagement with stabilizing treatment services, which may reduce the likelihood of future crises.

Worse Cardiac Arrest Outcomes During The COVID-19 Pandemic In Boston Can Be Attributed To Patient Reluctance To Seek Care

Delays in seeking emergency care stemming from patient reluctance may explain the rise in cases of out-of-hospital cardiac arrest and associated poor health outcomes during the COVID-19 pandemic. In this study we used emergency medical services (EMS) call data from the Boston, Massachusetts, area to describe the association between patients' reluctance to call EMS for cardiac-related care and both excess out-of-hospital cardiac arrest incidence and related outcomes during the pandemic. During the initial COVID-19 wave, cardiac-related EMS calls decreased (-27.2 percent), calls with hospital transportation refusal increased (+32.5 percent), and out-of-hospital cardiac arrest incidence increased (+35.5 percent) compared with historical baselines. After the initial wave, although cardiac-related calls remained lower (-17.2 percent), out-of-hospital cardiac arrest incidence remained elevated (+24.8 percent) despite fewer COVID-19 infections and relaxed public health advisories. Throughout Boston's fourteen neighborhoods, out-of-hospital cardiac arrest incidence was significantly associated with decreased cardiac-related calls, but not with COVID-19 infection rates. These findings suggest that patients were reluctant to obtain emergency care. Efforts are needed to ensure that patients seek timely care both during and after the pandemic to reduce potentially avoidable excess cardiovascular disease deaths.

The impact of COVID-19 on statewide EMS use for cardiac emergencies and stroke in Massachusetts

OBJECTIVE

To evaluate the impact of coronavirus disease 2019 (COVID-19) on emergency medical services (EMS) use for time-sensitive medical conditions. We examined EMS use for cardiac arrest, stroke, and other cardiac emergencies across Massachusetts during the peak of the COVID-19 pandemic, evaluating their relationship to statewide COVID-19 incidence and a statewide emergency declaration.

METHODS

A retrospective analysis of all EMS calls between February 15 and May 15, 2020 and the same time period for 2019. EMS call volumes were compared before and after March 10, the date of a statewide emergency declaration.

RESULTS

A total of 408,758 calls were analyzed, of which 49,405 (12.1%) represented stroke, cardiac arrest, or other cardiac emergencies. Average call volume before March 10 was similar in both years but decreased significantly after March 10, 2020 by 18.7% (P < 0.001). Compared to 2019, there were 35.6% fewer calls for cardiac emergencies after March 10, 2020 (153.6 vs 238.4 calls/day, P < 0.001) and 12.3% fewer calls for stroke (40.0 vs 45.6 calls/day, P = 0.04). Calls for cardiac arrest increased 18.2% (28.6 vs 24.2 calls/day, P < 0.001). Calls for respiratory concerns also increased (208.8 vs 199.7 calls/day, P < 0.001). There was no significant association between statewide incidence of COVID-19 and EMS call volume.

CONCLUSIONS

EMS use for certain time-sensitive conditions decreased after a statewide emergency declaration, irrespective of actual COVID-19 incidence, suggesting the decrease was related to perception instead of actual case counts. These findings have implications for public health messaging. Measures must be taken to clearly inform the public that immediate emergency care for time-sensitive conditions remains imperative.

Ambulance Calls for Substance-Related Issues Before and After COVID-19

Background: The United States is currently facing 2 epidemics: sustained morbidity and mortality from substance use and the more recent COVID-19 pandemic. We tested the hypothesis that the pandemic has disproportionately affected individuals with substance use disorder by evaluating average daily 9-1-1 ambulance calls for substance use-related issues compared with all other calls. Methods: This was a retrospective cross-sectional analysis of 9-1-1 ambulance calls before and after the start of COVID-19 in Massachusetts. We used consecutive samples of 9-1-1 ambulance calls, categorized into those which were substance-related or not. An interrupted time series analysis was performed to determine if there were changes in numbers of daily calls before a statewide declaration of emergency for COVID-19 (February 15-March 9, 2020), from the emergency declaration until a stay-at-home advisory (March 10-March 22, 2020) and following the stay-at-home advisory (March 23-May 15, 2020). Results: Compared with prior to the statewide emergency, the post-statewide emergency average of daily ambulance calls decreased from 2,453.2 to 1,969.6, a 19.7% decrease. Similarly, calls for substance-related reasons decreased by 16.4% compared with prior to the statewide emergency. However, despite an initial decrease in calls, after the stay-at-home advisory calls for substance use began increasing by 0.7 (95% confidence interval (CI) 0.4-1.1) calls/day, while calls for other reasons did not significantly change (+1.2 (95% CI -0.8 to 3.1) calls/day). Refusal of transport for substance-related calls increased from 5.0% before the statewide emergency to 7.5% after the declaration (p < 0.001). Conclusions: After an initial decline in substance-related ambulance calls following a statewide declaration of emergency, calls for substance use increased to pre-COVID-19 levels, while those for other reasons remained at a lower rate. The results suggest that COVID-19 is disproportionately affecting individuals with substance use disorder.

System impacts of the COVID-19 pandemic on New York City's emergency medical services

OBJECTIVES

To describe the impact of the COVID-19 pandemic on New York City's (NYC) 9-1-1 emergency medical services (EMS) system and assess the efficacy of pandemic planning to meet increased demands.

METHODS

Longitudinal analysis of NYC 9-1-1 EMS system call volumes, call-types, and response times during the COVID-19 peak-period (March 16-April 15, 2020) and post-surge period (April 16-May 31, 2020) compared with the same 2019 periods.

RESULTS

EMS system received 30,469 more calls from March 16-April 15, 2020 compared with March 16-April 15, 2019 (161,815 vs 127,962; P < 0.001). On March 30, 2020, call volume increased 60% compared with the same 2019 date. The majority were for respiratory (relative risk [RR] = 2.50; 95% confidence interval [CI] = 2.44-2.56) and cardiovascular (RR = 1.85; 95% CI = 1.82-1.89) call-types. The proportion of high-acuity, life-threatening call-types increased compared with 2019 (42.3% vs 36.4%). Planned interventions to prioritize high-acuity calls resulted in the average response time increasing by 3 minutes compared with an 11-minute increase for low low-acuity calls. Post-surge, EMS system received fewer calls compared with 2019 (154,310 vs 193,786; P < 0.001).

CONCLUSIONS

COVID-19-associated NYC 9-1-1 EMS volume surge was primarily due to respiratory and cardiovascular call-types. As the pandemic stabilized, call volume declined to below pre-pandemic levels. Our results highlight the importance of EMS system-wide pandemic crisis planning.

Weather and temporal models for emergency medical services: An assessment of generalizability

BACKGROUND

Emergency medical services (EMS) response volume has been linked to weather and temporal factors in a regional EMS system. We aimed to identify if models of EMS utilization incorporating these data are generalizable through geographically disparate areas in the United States.

METHODS

We performed a retrospective analysis of EMS dispatch data from four regions: New York City, San Francisco, Cincinnati, and Marin County for years 2016-2019. For each model, we used local weather data summarized from the prior 6 h into hourly bins. Our outcome for each model was EMS dispatches as count data. We fit and optimized a negative binomial regression model for each region, to estimate incidence rate ratios. We compared findings to a prior study performed in Western Pennsylvania.

RESULTS

We included 5,940,637 EMS dispatches from New York City, 809,405 from San Francisco, 260,412 from Cincinnati, and 77,461 from Marin County. Models demonstrated consistency with the Western Pennsylvania model with respect to temperature, season, wind speed, dew point, and time of day; both in terms of direction and effect size when expressed as incidence rate ratios. Precipitation was associated with increasing dispatches in the New York City, Cincinnati, and Marin County models, but not the San Francisco model.

CONCLUSION

With minor differences, regional models demonstrated consistent associations between dispatches and time and weather variables. Findings demonstrate the generalizability of associations between these variables with respect to EMS use. Weather and temporal factors should be considered in predictive modeling to optimize EMS staffing and resource allocation.

Temporal Trends and Future Predictions of Regional EMS System Utilization Using Statistical Modeling

Introduction:

Trends in utilization of Emergency Medical Services (EMS) systems can be used to extrapolate future use of an EMS system, which will be valuable for the budgeting and planning of finances and resources. The best model for incorporation of seasonal and regional fluctuations in utilization to predict future utilization is unknown.

Problem:

Authors aimed to trend patterns of utilization in a regional EMS system to identify the needs of a growing population and to allow for a better understanding of how the EMS system is used on a basis of call volume and frequency of EMS transportation. The authors then used a best-fitting prediction model approach to show how the studied EMS system will be used in future years.

Methods:

Systems data were retrospectively extracted by using the electronic medical records of the studied EMS system and its computer-assisted dispatch (CAD) database from 2010 through 2017. All EMS dispatches entering the system’s 9-1-1 public service access point were captured. Annual utilization data were available from 2010 through 2017, while quarterly data were available only from 2013 through 2017. The 9-1-1 utilization per capita, Advanced Life Support (ALS) utilization per capita, and ALS cancel rates were calculated and trended over the study period. The methods of prediction were assessed through a best-fitting model approach, which statistically suggested that Additive Winter’s approach (SAS) was the best fit to determine future utilization and ALS cancel rates.

Results:

Total 9-1-1 call volume per capita increased by 32.46% between 2010 and 2017, with an average quarterly increase of 0.78% between 2013 and 2017. Total ALS call volume per capita increased by 1.93% between 2010 and 2017. Percent ALS cancellations (cancelled en route to scene) increased by eight percent between 2010 and 2017, with an average quarterly increase of 0.42% (2013–2017). Predictions to end of 2019 using Additive Winter’s approach demonstrated increasing trends in 9-1-1 call volume per capita (R2 = 0.47), increasing trends of ALS utilization per capita (R2 = 0.71), and increasing percent ALS cancellation (R2 = 0.93). Each prediction showed increasing future trends with a 95% confidence interval.

Conclusions:

The authors demonstrate paramount per capita increases of 9-1-1 call volume in the studied ALS system. There are concomitant increases of ALS cancellations prior to arrival, which suggests a potential burden on this regional ALS response system.

Weather and Temporal Factors Associated with Use of Emergency Medical Services

Background: Fluctuations in emergency medical services (EMS) responses can have a substantial impact on the ability of agencies to meet resource needs within an EMS system. We aimed to identify weather characteristics as potentially predictable factors associated with EMS responses. Methods: We reviewed hourly counts of scene responses documented by 24 EMS agencies in Western Pennsylvania from January 1, 2014 to December 31, 2017 and compared rates of responses to weather characteristics. Responses to counties nonadjacent to the studied weather reporting station and interfacility/scheduled transports were excluded. We identified the mean temperature, meters visibility, dew point, wind speed, total millimeters of precipitation, and presence of rain or snow in 6-hour windows prior to dispatch, in addition to temporal factors of time of day and weekend vs. weekday. Analysis was performed using multivariable linear regression of a negative binomial distribution, reporting incidence rate ratios (IRR) with 95% confidence intervals (CI). Secondary analyses were performed for transports to the hospital and cases involving transports for traumatic complaints and pediatric patients (age <18 years). Results: We included 529,058 responses (54.8% female, mean age 57.2 ± SD 24.7 years). In our multivariable model, responses were associated with (IRR, 95% CI) rain (1.10, 1.08-1.11) snow (1.07, 1.05-1.09), and both rain and snow (1.15, 1.11-1.19). A lower incidence of responses occurred on weekends (0.84, 0.83-0.85) and at night (0.62, 0.61-0.62). Increasing temperature in 5 °C increments was associated with an increase in responses across seasons with an effect that varied between 1.16 (1.15-1.17) in winter to 1.31 (1.28-1.33) in summer. Windy weather was associated with increased responses from light breeze (1.10, 1.09-1.11) to fresh breeze or greater (1.23, 1.16-1.30). Transports occurred in a similar pattern to responses. Trauma transports (n = 64,235) occurred more during weekends (1.04, 1.02-1.06). Pediatric transports (n = 21,880) were not significantly associated with precipitation or season. Conclusion: EMS responses increased with rising temperature and following rain and snow. These findings may assist in planning by EMS agencies and emergency departments to identify periods of greatest resource utilization.

The Critical Role of Dispatch

There are 240 million 9-1-1 calls in the United States every year. The burden of managing these emergencies until first responders can arrive is on the dispatchers working in the 5806 public safety answering points, more commonly known as dispatch centers. They are the first link in the chain of survival between the public and the remainder of the health care system. Dispatchers play a critical role in the early identification of emergencies, assignment of appropriate emergency resources, and provision of life-sustaining interventions like dispatcher-assisted cardiopulmonary resuscitation and disaster management.

Factors influencing the decision to convey or not to convey elderly people to the emergency department after emergency ambulance attendance: a systematic mixed studies review

BACKGROUND

The decision over whether to convey after emergency ambulance attendance plays a vital role in preventing avoidable admissions to a hospital's emergency department (ED). This is especially important with the elderly, for whom the likelihood and frequency of adverse events are greatest.

OBJECTIVE

To provide a structured overview of factors influencing the conveyance decision of elderly people to the ED after emergency ambulance attendance, and the outcomes of these decisions.

DATA SOURCES

A mixed studies review of empirical studies was performed based on systematic searches, without date restrictions, in PubMed, CINAHL and Embase (April 2018). Twenty-nine studies were included.

STUDY ELIGIBILITY CRITERIA

Only studies with evidence gathered after an emergency medical service (EMS) response in a prehospital setting that focused on factors that influence the decision whether to convey an elderly patient were included.

SETTING

Prehospital, EMS setting; participants to include EMS staff and/or elderly patients after emergency ambulance attendance.

STUDY APPRAISAL AND SYNTHESIS METHODS

The Mixed Methods Appraisal Tool was used in appraising the included articles. Data were assessed using a 'best fit' framework synthesis approach.

RESULTS

ED referral by EMS staff is determined by many factors, and not only the acuteness of the medical emergency. Factors that increase the likelihood of non-conveyance are: non-conveyance guidelines, use of feedback loop, the experience, confidence, educational background and composition (male-female) of the EMS staff attending and consulting a physician, EMS colleague or other healthcare provider. Factors that boost the likelihood of conveyance are: being held liable, a lack of organisational support, of confidence and/or of baseline health information, and situational circumstances. Findings are presented in an overarching framework that includes the impact of these factors on the decision's outcomes.

CONCLUSION

Many non-medical factors influence the ED conveyance decision after emergency ambulance attendance, and this makes it a complex issue to manage.

ATENDIMENTOS DE NATUREZA PSIQUIÁTRICA REALIZADOS PELO SERVIÇO PRÉ-HOSPITALAR MÓVEL DE URGÊNCIA

RESUMO Objetivo: analisar os atendimentos de natureza psiquiátrica, realizados pelo serviço pré-hospitalar móvel de urgência. Método: estudo retrospectivo com análise dos registros de atendimentos de natureza psiquiátrica, realizados pelo Serviço de Atendimento Móvel de Urgência de uma capital do Nordeste brasileiro no ano de 2014. Resultados: foram realizados 38.317 atendimentos pelo Serviço de Atendimento Móvel de Urgência, sendo que 1.088 (2,8%) eram psiquiátricos. A amostra foi composta, em sua maioria, por usuários do sexo masculino (64,8%), na faixa etária de 20 a 59 anos (81,4%), com média de idade de 35 anos. Houve predomínio de quadros de agitação e/ou agressividade (65,7%) e 8,0% dos usuários encontravam-se sobre suspeita de uso de bebidas alcoólicas. As Unidades de Suporte Básico foram acionadas em 96,8% das ocorrências e 91,6% dos usuários foram encaminhados para o hospital psiquiátrico. Ressalta-se a ocorrência de tentativas e ideações suicidas em 7,6% dos atendimentos, com maioria do sexo feminino (54,9%). Observou-se associação significativa entre o tempo de atendimento e as variáveis: motivo do atendimento (p=0,003), realização de procedimentos (p=0,000) e uso de medicação (p=0,000). Conclusão: o estudo mostrou elevado número de atendimentos de natureza psiquiátrica realizado pelo Serviço de Atendimento Móvel de Urgência, evidenciando sua importância como um dos componentes da Rede de Atenção Psicossocial. Entretanto, o destino dos usuários ainda continua sendo o hospital psiquiátrico.

Daily volume of cases in emergency call centers: construction and validation of a predictive model

Background

Variations in the activity of emergency dispatch centers are an obstacle to the rationalization of resource allocation. Many explanatory factors are well known, available in advance and could predict the volume of emergency cases. Our objective was to develop and evaluate the performance of a predictive model of daily call center activity.

Methods

A retrospective survey was conducted on all cases from 2005 to 2011 in a large medical emergency call center (1,296,153 cases). A generalized additive model of daily cases was calibrated on data from 2005 to 2008 (1461 days, development sample) and applied to the prediction of days from 2009 to 2011 (1095 days, validation sample). Seventeen calendar and epidemiological variables and a periodic function for seasonality were included in the model.

Results

The average number of cases per day was 507 (95% confidence interval: 500 to 514) (range, 286 to 1251). Factors significantly associated with increased case volume were the annual increase, weekend days, public holidays, regional incidence of influenza in the previous week and regional incidence of gastroenteritis in the previous week. The adjusted R for the model was 0.89 in the calibration sample. The model predicted the actual number of cases within ± 100 for 90.5% of the days, with an average error of −13 cases (95% CI: -17 to 8).

Conclusions

A large proportion of the variability of the medical emergency call center’s case volume can be predicted using readily available covariates.

Electronic supplementary material

The online version of this article (10.1186/s13049-017-0430-9) contains supplementary material, which is available to authorized users.

Predictors of repeat visits to hospital psychiatric emergency departments in Malaga (Spain) and in Lisbon (Portugal)

OBJECTIVE

This study describes the profile of people with mental disorders attending emergency departments (EDs) in two countries and to identify specific mental disorders associated with repeat emergency visits.

METHODS

Retrospective analyses of 1 year of EDs data from two hospitals with psychiatric departments, one in Amadora/Sintra (Lisbon, Portugal, 2008) and the other in Malaga (Spain, 2009), were carried out. To determine which mental disorders were associated with repeat visits in each setting, negative binomial models were calculated.

RESULTS

There were 5141 visits for a mental disorder made by 3667 patients. Patients with affective disorder were the most frequent (32.2%). Among all mental health patients, 19.9% had at least one repeat visit during the year. For the two EDs setting combined, patients with personality disorders (incidence rate ratio (IRR)=3.79, 95% CI: 2.39 to 6.02) and psychotic disorders (IRR=1.46, 95% CI: 1.13 to 1.89) were more likely to have repeat visits compared with patients with affective disorders, whereas mental disorders due to psychoactive substance use (IRR=0.52, 95% CI: 0.37 to 0.73) was associated with lower likelihood of repeat visits. Nearly all significant differences were attributable to the Malaga sample, where patients with personality disorders were four times more likely to have repeat EDs visits compared with patients with affective disorders. However, at both sites, patients with mental disorders due to psychoactive substance use were less likely to have repeat visits.

CONCLUSIONS

Certain mental disorders may be predictive of more frequent ED visits. The different results for each country suggest that further studies might focus not only on the characteristics of patients, but also on local healthcare organisation.

Differences in emergency ambulance demand between older adults living in residential aged care facilities and those living in the community in Melbourne, Australia

OBJECTIVE

To describe the clinical presentation and temporal variation in ambulance service cases involving patients aged 65 years or older (older adults) from residential aged care facilities and those who are community dwelling (CD).

METHODS

This study used four years of electronic case records from Ambulance Victoria in Melbourne, Australia. Trigonometric regression was used to analyse demand patterns.

RESULTS

Residential aged care facility cases included proportionally more falls and infection-related problems and fewer circulatory-related incidents than CD cases. Community dwelling demand patterns differed between weekdays and weekends and peaked late morning. Residential aged care facility cases peaked late morning, with a secondary peak early evening, but with no significant difference between days.

CONCLUSIONS

Older adult ambulance demand has distinct temporal patterns that differ by place of residence and are associated with different clinical presentations. These results provide a basis for informing ambulance planning and the identification of alternate health services.

Pediatric Use of Emergency Medical Services: The Role of Chronic Illnesses and Behavioral Health Problems

OBJECTIVE

The increasing use of prehospital emergency medical services (EMS) and its contribution to rising emergency department use and healthcare costs point to the need for better understanding factors associated with EMS use to inform preventive interventions. Understanding patient factors associated with pediatric use of EMS will inform pediatric-specific intervention. We examined pediatric patient demographic and health factors associated with one-time and repeat use of EMS.

METHODS

We reviewed data from Baltimore City Fire Department EMS patient records over a 23-month period (2008-10) for patients under 21 years of age (n = 24,760). Repeat use was defined as involvement in more than one EMS incident during the observation period. Analyses compared demographics of EMS users to the city population and demographics and health problems of repeat and one-time EMS users. Health comparisons were conducted at the patient and incident levels of analysis.

RESULTS

Repeat users (n = 1,931) accounted for 9.0% of pediatric users and 20.8% of pediatric incidents, and were over-represented among the 18-20 year age group and among females. While trauma accounted for approximately one-quarter of incidents, repeat versus one-time users had a lower proportion of trauma-related incidents (7.2% vs. 26.7%) and higher proportion of medical-related incidents (92.6% vs. 71.4%), including higher proportions of incidents related to asthma, seizures, and obstetric/gynecologic issues. In patient-level analysis, based on provider or patient reports, greater proportions of repeat compared to one-time users had asthma, behavioral health problems (mental, conduct and substance use problems), seizures, and diabetes.

CONCLUSIONS

Chronic somatic conditions and behavioral health problems appear to contribute to a large proportion of the repeat pediatric use of this EMS system. Interventions may be needed to engage repeat users in primary care and behavioral health services, to train EMS providers on the recognition and management of behavioral health emergencies, and to improve family care and self-management of pediatric asthma and other chronic conditions.

Prehospital Indicators for Disaster Preparedness and Response: New York City Emergency Medical Services in Hurricane Sandy

Objective

We aimed to evaluate emergency medical services (EMS) data as disaster metrics and to assess stress in surrounding hospitals and a municipal network after the closure of Bellevue Hospital during Hurricane Sandy in 2012.

Methods

We retrospectively reviewed EMS activity and call types within New York City’s 911 computer-assisted dispatch database from January 1, 2011, to December 31, 2013. We evaluated EMS ambulance transports to individual hospitals during Bellevue’s closure and incremental recovery from urgent care capacity, to freestanding emergency department (ED) capability, freestanding ED with 911-receiving designation, and return of inpatient services.

Results

A total of 2,877,087 patient transports were available for analysis; a total of 707,593 involved Manhattan hospitals. The 911 ambulance transports disproportionately increased at the 3 closest hospitals by 63.6%, 60.7%, and 37.2%. When Bellevue closed, transports to specific hospitals increased by 45% or more for the following call types: blunt traumatic injury, drugs and alcohol, cardiac conditions, difficulty breathing, “pedestrian struck,” unconsciousness, altered mental status, and emotionally disturbed persons.

Conclusions

EMS data identified hospitals with disproportionately increased patient loads after Hurricane Sandy. Loss of Bellevue, a public, safety net medical center, produced statistically significant increases in specific types of medical and trauma transports at surrounding hospitals. Focused redeployment of human, economic, and social capital across hospital systems may be required to expedite regional health care systems recovery. (Disaster Med Public Health Preparedness. 2016;10:333–343)

Why and when citizens call for emergency help: an observational study of 211,193 medical emergency calls

BACKGROUND

A medical emergency call is citizens' access to pre-hospital emergency care and ambulance services. Emergency medical dispatchers are gatekeepers to provision of pre-hospital resources and possibly hospital admissions. We explored causes for access, emergency priority levels, and temporal variation within seasons, weekdays, and time of day for emergency calls to the emergency medical dispatch center in Copenhagen in a two-year study period (December 1(st), 2011 to November 30(th), 2013).

METHODS

Descriptive analysis was performed for causes for access and emergency priority levels. A Poisson regression model was used to calculate adjusted ratio estimates for the association between seasons, weekdays, and time of day overall and stratified by emergency priority levels.

RESULTS

We analyzed 211,193 emergency calls for temporal variation. Of those, 167,635 calls were eligible for analysis of causes and emergency priority level. "Unclear problem" was the most frequent category (19%). The five most common causes with known origin were categorized as "Wounds, fractures, minor injuries" (13%), "Chest pain/heart disease" (11%), "Accidents" (9%), "Intoxication, poisoning, drug overdose" (8%), and "Breathing difficulties" (7%). The highest emergency priority levels (Emergency priority level A and B) were assigned in 81% of calls. In the analysis of temporal variation, the total number of calls peaked at wintertime (26%), Saturdays (16%), and during daytime (39%).

CONCLUSION

The pattern of citizens' contact causes fell into four overall categories: unclear problems, medical problems, intoxication and accidents. The majority of calls were urgent. The magnitude of unclear problems represents a modifiable factor and highlights the potential for further improvement of supportive dispatch priority tools or educational interventions at dispatch centers. Temporal variation was identified within seasons, weekdays and time of day and reflects both system load and disease occurrence. Data on contact patterns could be utilized in a public health perspective, benchmarking of EMS systems, and ultimately development of best practice in the area of emergency medicine.

Biomarkers of World Trade Center Particulate Matter Exposure: Physiology of Distal Airway and Blood Biomarkers that Predict FEV₁ Decline

Biomarkers can be important predictors of disease severity and progression. The intense exposure to particulates and other toxins from the destruction of the World Trade Center (WTC) overwhelmed the lung's normal protective barriers. The Fire Department of New York (FDNY) cohort not only had baseline pre-exposure lung function measures but also had serum samples banked soon after their WTC exposure. This well-phenotyped group of highly exposed first responders is an ideal cohort for biomarker discovery and eventual validation. Disease progression was heterogeneous in this group in that some individuals subsequently developed abnormal lung function while others recovered. Airflow obstruction predominated in WTC-exposed patients who were symptomatic. Multiple independent disease pathways may cause this abnormal FEV1 after irritant exposure. WTC exposure activates one or more of these pathways causing abnormal FEV1 in an individual. Our hypothesis was that serum biomarkers expressed within 6 months after WTC exposure reflect active disease pathways and predict subsequent development or protection from abnormal FEV1 below the lower limit of normal known as WTC-Lung Injury (WTC-LI). We utilized a nested case-cohort control design of previously healthy never smokers who sought subspecialty pulmonary evaluation to explore predictive biomarkers of WTC-LI. We have identified biomarkers of inflammation, metabolic derangement, protease/antiprotease balance, and vascular injury expressed in serum within 6 months of WTC exposure that were predictive of their FEV1 up to 7 years after their WTC exposure. Predicting future risk of airway injury after particulate exposures can focus monitoring and early treatment on a subset of patients in greatest need of these services.

Patient demographic and health factors associated with frequent use of emergency medical services in a midsized city

OBJECTIVES

To optimize health care utilization, health outcomes, and costs, research is needed to improve an understanding of frequent users of emergency health services. Frequent use of emergency services is associated with high costs of health care and may be indicative of challenges accessing, or poor outcomes of, health care. Patient demographics and health factors related to frequent use of the emergency medical services (EMS) system of a midsized city were identified. Study findings will aid in the development of targeted interventions to improve population health.

METHODS

The authors reviewed 9-1-1 call dispatch data and Baltimore City Fire Department (BCFD) EMS records from 2008 through 2010. Frequent use was defined as six or more EMS incidents in the 23-month period. Analyses used census data to compare demographics of EMS users to their population distribution and examined differences in demographics and health problems of frequent EMS users compared to nonfrequent users.

RESULTS

Frequent EMS users (n = 1,969) had a range of six to 199 EMS incidents (mean = 11.2) during the observation period, and although they accounted for only 1.5% of EMS users, they were involved in 12.0% of incidents. Frequent users, compared to nonfrequent users and to the population, were more likely to be male, African American, and 45 years of age or older. Of frequent users, the modal age group was 45 to 54 years, accounting for 29.7% of frequent users, which represented twice this age group's population distribution. Furthermore, this age group had the greatest overrepresentation of males (63.0% of frequent users) and was the peak age group for incidents related to substance abuse (28.0% of frequent users' incidents in this age group). Frequent users, compared to nonfrequent users, had lower levels of incidents related to trauma (5.1% vs. 16.7%) and higher levels of medical incidents (94.8% vs. 82.9%). As proportions of EMS incidents among frequent versus nonfrequent users, respiratory, mental health, and seizure-related incidents were highest in the youngest age groups; substance abuse-related incidents were highest in those middle-aged (35 to 44 and 45 to 54 years). Of health problems, behavioral health (mental health or substance use) contributed most to frequent EMS use (23.4% of frequent users' incidents). Across all incidents, 65.8% of frequent users had indications of behavioral health problems, representing 6.6-fold higher odds than nonfrequent users (22.5%). Frequent compared to nonfrequent users also had higher levels of select chronic conditions (diabetes, 39.9% vs. 14.6%; asthma, 40.9% vs. 13.4%; and HIV, 9.1% vs. 2.4%), with unadjusted odds almost four to seven times higher.

CONCLUSIONS

The study findings revealed the major role of chronic somatic and behavioral health problems in frequent EMS use and that rates of frequent use were highest among those middle-aged, African American, and male. These results suggest the need for coordination of EMS with community-based, integrated medical and behavioral health services to improve access and use of preventive services, with implications for health outcomes and costs. This study demonstrates the value of EMS patient data in identifying at-risk populations and informing novel, targeted approaches to public health interventions.

Ambulance demand: random events or predicable patterns?

BACKGROUND

Occupational, social and recreational routines follow temporal patterns, as does the onset of certain acute medical diseases and injuries. It is not known if the temporal nature of injury and disease transfers into patterns that can be observed in ambulance demand. This review examines eligible study findings that reported temporal (time of day, day of week and seasonal) patterns in ambulance demand.

METHODS

Electronic searches of Medline and Cumulative Index of Nursing and Allied Health Literature were conducted for papers published between 1980 and 2011. In addition, hand searching was conducted for unpublished government and ambulance service documents and reports for the same period.

RESULTS

38 studies examined temporal patterns in ambulance demand. Six studies reported trends in overall workload and 32 studies reported trends in a subset of ambulance demand, either as a specific case type or demographic group. Temporal patterns in overall demand were consistent between jurisdictions for time of day but varied for day of week and season. When analysed by case type, all jurisdictions reported similar time of day patterns, most jurisdictions had similar day of week patterns except for out-of-hospital cardiac arrest and similar seasonal patterns, except for trauma. Temporal patterns in case types were influenced by age and gender.

CONCLUSIONS

Temporal patterns are present in ambulance demand and importantly these populations are distinct from those found in hospital datasets suggesting that variation in ambulance demand should not be inferred from hospital data alone. Case types seem to have similar temporal patterns across jurisdictions; thus, research where demand is broken down into case types would be generalisable to many ambulance services. This type of research can lead to improvements in ambulance service deliverables.