Statewide Method of Measuring Ambulance Patient Offload Times

Objective: Ambulance patient offload time (APOT) also known colloquially as “Wall time” has been described in various jurisdictions but seems to be highly variable. Any attempt to improve APOT requires the use of common definitions and standard methodology to measure the extent of the problem. Methods: An Ambulance Offload Delay Task Force in California developed a set of standard definitions and methodology to measure APOT for transported 9-1-1 patients. It is defined as the time “interval between the arrival of an ambulance at an emergency department and the time that the patient is transferred to an ED gurney, bed, chair or other acceptable location and the ED assumes responsibility for care of the patient.” Local EMS agencies voluntarily reported data according to the standard methodology to the California EMS Authority (State agency). Results: Data were reported for 9-1-1 transports during 2017 from 9 of 33 local EMS Agencies in California that comprise 37 percent of the state population. These represent 830,637 ambulance transports to 126 hospitals. APOT shows significant variation by EMS agency with half of the agencies demonstrating significant delays. Offload times vary markedly by hospital as well as by region. Three-fourths of hospitals detained EMS crews more than one hour, 40% more than two hours, and one-third delayed EMS return to service by more than three hours. Conclusion: This first step to address offload delays in California consists of standardized definitions for data collection to address the significant variability inherent in obtaining data from 33 local agencies, hundreds of EMS provider agencies, and 320 acute care hospital Emergency Departments that receive 9-1-1 ambulance transports. The first year of standardized data collection of ambulance patient offload times revealed significant ambulance patient offload time delays that are not distributed uniformly, resulting in a substantial financial burden for some EMS providers in California.     

CARES: A Community-wide Collaboration Identifies Super-utilizers and Reduces Their 9-1-1 Call,Emergency Department,and Hospital Visit Rates

Background: A subset of individuals who inefficiently and frequently use emergency department (ED) services are called “super-utilizers.” Our healthcare system is fragmented and complex, making it difficult for providers to identify super-utilizers and address their wide range of health issues. Objective: The objective of our study was to evaluate a novel community-wide collaboration program called CARES (Community Assistance Referral and Education Services) designed to identify super-utilizers through local partnering organizations. CARES assists patients in developing their personal health and wellness goals, and navigates them away from 9-1-1 calls, emergency room visits, and hospital admissions, and toward more appropriate resources over 90 days. Methods: This was a retrospective observational analysis of the CARES program. Data were collected from March 2013 to December 2015. The study population included: enrolled adults with non-compliance of medication or treatment; behavioral health problems; multiple 9-1-1 responses in a short period of time; three or more ED visits within six months; patients with multiple hospital admissions. Adults who were outside of the study period or had missing outcome information were excluded. The primary outcomes of this study were the median rate of 9-1-1 calls/month/person, ED and hospital visits/month/person. Wilcoxon rank-sum tests were used to compare changes between pre- vs. post-enrollment for each subject. Results: A total of 441 subjects were included in this study. The majority of patients (64%) were female, 64% were white, and the median (IQR) age was 48 (35–62) years old. A total of 51% were on Medicaid and 69% identified behavioral health issues as their barriers to optimal health care. Between pre- and post-enrollment periods, the median (IQR) monthly rate of 9-1-1 calls, ED visits, and hospital admissions significantly decreased by 0.26 (?0.06, 0.90), 0.25 (?0.08, 0.71), and 0.18 (0.04, 0.53) (p < 0.001 for all). Conclusions: When health systems in a geographic area share data, they are better able to recognize patterns of overuse, and address them properly. This study demonstrated that a collaborative 90-day intervention identifying super-utilizers reduced the monthly rate of 9-1-1 calls, ED visits, and hospital admissions.     

Outcomes for Patients Who Contact the Emergency Ambulance Service and Are Not Transported to the Emergency Department: A Data Linkage Study

Objectives: Emergency ambulance services do not transport all patients to hospital. International literature reports non-transport rates ranging from 3.7–93.7%. In 2017, 38% of the 11 million calls received by ambulance services in England were attended by ambulance but not transported to an Emergency Department (ED). A further 10% received clinical advice over the telephone. Little is known about what happens to patients following a non-transport decision. We aimed to investigate what happens to patients following an emergency ambulance telephone call that resulted in a non-transport decision, using a linked routine data-set. Methods: Six-months individual patient level data from one ambulance service in England, linked with Hospital Episode Statistics and national mortality data, were used to identify subsequent health events (ambulance re-contact, ED attendance, hospital admission, death) within 3 days (primary analysis) and 7 days (secondary analysis) of an ambulance call ending in non-transport to hospital. Non-clinical staff used a priority dispatch system e.g. Medical Priority Dispatch System to prioritize calls for ambulance dispatch. Non-transport to ED was determined by ambulance crew members at scene or clinicians at the emergency operating center when an ambulance was not dispatched (telephone advice). Results: The data linkage rate was 85% for patients who were discharged at scene (43,108/50,894). After removal of deaths associated with end of life care (N?=?312), 9% (3,861/42,796) re-contacted the ambulance service, 12.6% (5,412/42,796) attended ED, 6.3% (2,694/42,796) were admitted to hospital, and 0.3% (129/42,796) died within 3 days of the call. Rates were higher for events occurring within 7 days. For example, 12% re-contacted the ambulance service, 16.1% attended ED, 9.3% were admitted to hospital, and 0.5% died. The linkage rate for telephone advice calls was low because ambulance services record less information about these patients (24% 2,514/10,634). A sensitivity analysis identified a range of subsequent event rates: 2.5–10.5% of patients were admitted to hospital and 0.06–0.24% of patient died within 3 days of the call. Conclusions: Most non-transported patients did not have subsequent health events. Deaths after non-transport are an infrequent event that could be selected for more detailed review of individual cases, to facilitate learning and improvement.     

Effects of Emergency Medical Services Agency Ownership Status on Patient Transport

Objectives: Medical insurers have clearly defined which ambulance services will be reimbursed and which will not. Thus, ambulance agencies that provide emergency 9-1-1 services must be highly cognizant of their organization's revenue needs. This presents a distinction between publicly funded and privately funded organizations. This study seeks to identify any differences in the transport decision among agency ownership types. Methods: This retrospective study captured all 9-1-1 ambulance requests in the state of Virginia for the years 2009 through 2013. Each request was answered by either a publicly funded ambulance service or a privately funded ambulance service. The outcome variable of interest was patient disposition and the key explanatory variable was organizational ownership type. Multivariate logistic regression was utilized for data analysis. Results: Of the 4.6 million 9-1-1 requests, approximately 30% were attended to by a private ambulance service. After controlling for potential confounders, ownership type was found to have a statistically significant effect on the transport decision. Private for-profit ambulance services were 4.5 times more likely to transport a patient than were their publicly funded counterparts (OR: 4.56, 95% CI: 4.47–4.65). Private non-profit organizations were twice as likely to engage in patient transport (OR: 2.12, 95% CI: 2.09–2.14). Private for-profit ambulance organizations were also found to be less likely to allow for patient refusal (OR: 0.54, 95% CI: 0.53–0.55) or to medically treat on-scene without subsequent transport (OR: 0.48, 95% CI: 0.45–0.50). Conclusions: Given the reimbursement practices of medical insurers, private ambulance services are incentivized towards patient transport. Operational revenue for these services is not generated through public budgeting processes but through user fees. Thus, private agencies are more reliant on billable services than are their publicly funded counterparts.     

Medically Unnecessary Pediatric Ambulance Transports: A Medical Taxi Service?

Objective : To characterize ambulance utilization in a pediatric population and pediatric emergency physicians' judgment of the medical need for ambulance transport. Methods : A convenience sample of ambulance transports were studied prospectively during a 5-week period. Exclusion criteria included transfer from another medical facility, study physician not available, need for immediate resuscitation, or trauma team activation. A questionnaire completed by the physician assessed medical need for the ambulance based on chief complaint, general appearance, vital signs, and ambulance run sheet information. A separate questionnaire was administered to the parents regarding reasons for ambulance use and other available means of transportation. Caregivers were contacted by telephone 2–3 days later to determine the mode of transportation home and the clinical outcome. Results : Of 172 eligible patients, 92 (53%) were enrolled. Most (61%; 56/92) transports were considered medically unnecessary. Interestingly, 40% (37/92) of the subjects had no other means of transportation; 86% (32/37) of ambulance transports for this group were judged medically unnecessary. Overall, 86% (79/92) of families had not called their physician. There was no association between having spoken with the physician and medical need for an ambulance. Many (82%; 46/56) Medicaid transports were judged medically unnecessary. Overall, follow-up was achieved for 91% (85/92) of the patients. No patient for whom transport was medically unnecessary had a repeat ED visit for the same complaint or required admission. Most patients (74%; 68/92) returned home without any assistance. Among the medically unnecessary transports, 52% (32/ 60) of the caregivers cited no other means of transportation, yet 34% (11/32) of these patients returned home by private car. Conclusions : Most pediatric ambulance transports in this sample, which excluded patients requiring immediate resuscitation or trauma team care, were judged to be medically unnecessary. Caregivers often use an ambulance as a convenience or as the only means of transportation. An alternate, less resource-intensive transportation system may be more appropriate for this population.     

A Multisite Survey of Factors Contributing to Medically Unnecessary Ambulance Transports

Objectives: To determine the social and demographic factors associated with medically unnecessary ambulance utilization, and to determine the willingness of patients to use alternate modes of transportation to the ED.
Methods: A multisite prospective survey was conducted of all patients arriving by ambulance to 1 suburban and 4 urban EDs in New York State during a l-week period.
Results: For 626 patients surveyed, 71 (11.3%) transports were judged medically unnecessary by the receiving emergency physicians using preestablished guidelines. The patient's type of medical insurance and age were significant predictors of unnecessary ambulance transport (stepwise forward logistic regression analysis). Of the 71 patients whose ambulance transports were deemed medically unnecessary, 42 (59%) were Medicaid recipients and 53 (74%) were <40 years of age. The most common reason for using ambulance transport was lack of an alternate mode of transportation (38.5%), although 82% would have been willing to use an alternate mode of transportation if it had been available. Of those who had medically unnecessary ambulance use, 30% indicated that they would not pay for the ambulance service if billed and 50% believed the cost of their ambulance transports was <$100. More than 85% of the patients whose ambulance transports were deemed medically unnecessary were unemployed; and nearly 85% reported a net annual income of <$20,000. While 33% had a primary care provider, only 22% had attempted to contact their doctors before requesting an ambulance.
Conclusions: Patient age 40 years and Medicaid coverage were associated with medically unnecessary ambulance use. Those patients for whom ambulance use was considered medically unnecessary commonly had no alternate means of transportation. Providing alternate means of unscheduled transportation may reduce the incidence of unnecessary ambulance use.     

R EDUCTION OF THE C ALL -R ESPONSE I NTERVAL WITH A MBULANCE B ASE P AGING

Objective. To determine whether the call-response interval for an emergency medical services (EMS) system would be decreased through the introduction of ambulance base paging. Methods. The study community included a mixture of urban and rural areas with a total population of approximately 400,000. The EMS system is composed of two ambulance services and one central ambulance communication center with computer-aided dispatching capabilities. Approximately 30,000 calls are responded to yearly by the combined ambulance services. A before-and-after study design was used. In a retrospective review of one ambulance service, there were 224 calls collected in the period before base paging and 200 calls collected in the period after base paging was introduced. In the other ambulance service, there were 571 calls captured in the period before base paging and 515 calls captured in the period after base paging. Results. The call-receipt-to-crew-notified interval was reduced from the before period to the after period in both ambulance services: Cambridge—61.8 to 49.8 seconds (p < 0.0001); Kitchener—66.6 to 46.2 seconds (p < 0.0001). The crew-notified-to-vehicle-mobile interval was reduced from the before period to the after period in both ambulance services: Cambridge—91.8 to 73.2 seconds (p < 0.0001); Kitchener—80.4 to 66.0 seconds (p < 0.0001). Conclusions. The introduction of ambulance base paging reduced components of the call-response interval in this EMS system. Overall, the reduction in time was approximately 30 seconds, which was found to be statistically significant.     

Home Care and Emergency Medicine A Pilot Project to Discharge Patients Safely from the Emergency Department

OBJECTIVES: To describe in detail the implementation of an acute care home care program (quick response program; QRP) for the emergency department (ED). METHODS: A prospective observational study with key process and outcome indicators, including number of referrals, time to initiate service, type of home care provided, number of return patients to the ED, and outcome for all patients, defined at the beginning of the project. Patients are identified for the QRP and services are in place within four hours of patient discharge. RESULTS: Of 177 eligible patients, 121 were entered into the program. Sixty-eight percent were more than 65 years old, and 54% lived alone. All patients met the time target of services in place within four hours of discharge from the ED. Patient satisfaction was high as measured by an independent survey instrument. Fifty percent of the patients required no further service after the QRP, but 20% were admitted to hospital within 30 days. CONCLUSIONS: A QRP can be successfully implemented in the ED to discharge patients home, most of whom would have been admitted to hospital.     

Non-urgent Emergency Callers: Characteristics and Prognosis

Objective: In Denmark, calls to the Danish emergency number 1-1-2 concerning medical emergencies are received by an emergency medical communication center (EMCC). At the EMCC, health care professionals (nurses, paramedics, and physicians) decide the necessary response, depending on the level of emergency as indicated by the Danish Index for Emergency Care. The index states 37 main criteria (symptoms) and five levels of emergency, descending from A (life threatening) to E (not serious). An ambulance is not sent to emergency level-E patients (level-E patients), but they are given other kinds of help/advice. No prior studies focusing on Danish level-E patients exist, hence the sparse knowledge about them. This study aimed to characterize level-E patients in the Central Denmark Region and to investigate their progress in the health care system after the 1-1-2 call, regarding contacting 1-1-2 again, general practitioner and Emergency Department (ED) visits, hospital admission, and death. Methods: This is a retrospective follow-up study of callers who contacted the EMCC of the Central Denmark Region and were assessed as level-E patients from August 2013 to July 2014. The study population was identified in the EMCC dispatch software, whose data were supplemented with health care data from three national registries. Results: Of the 53,414 patients who called 1-1-2 over the study period, 4,962 level-E patients were included in the study. The median age was 47 years (IQR: 24.3–67.7), and 53.4% were men. The most common main criteria were extremity pain - minor wounds. Within 1 day after their 1-1-2 call, 42.1% had a subsequent contact with the health care system. Of those, 5.9% called 1-1-2 again, 24.3% contacted an ED, and 8.6% were admitted. The fatality rate was 0.1%. Conclusions: Level-E patients who contacted the EMCC of the Central Denmark Region were most frequently young adults. Almost 60% of level E-patients, who could be tracked, had no further contact with the health care system within a day after their 1-1-2 call. Of those who did, a quarter contacted an ED, indicating that level-E patients needed medical attention. The low fatality rates suggest limited undertriage, that is, level-E patients do not seem to need emergency medical service transportation. Further studies on undertriage among other things are needed.     

Ambulance Diversion and Emergency Department Offload Delay: Resource Document for the National Association of EMS Physicians Position Statement

Abstract

The emergency medical services (EMS) system is a component of a larger health care safety net and a key component of an integrated emergency health care system. EMS systems, and their patients, are significantly impacted by emergency department (ED) crowding. While protocols designed to limit ambulance diversion may be effective at limiting time on divert status, without correcting overall hospital throughput these protocols may have a negative effect on ED crowding and the EMS system. Ambulance offload delay, the time it takes to transfer a patient to an ED stretcher and for the ED staff to assume the responsibility of the care of the patient, may have more impact on ambulance turnaround time than ambulance diversion. EMS administrators and medical directors should work with hospital administrators, ED staff, and ED administrators to improve the overall efficiency of the system, focusing on the time it takes to get ambulances back into service, and therefore must monitor and address both ambulance diversions and ambulance offload delay. This paper is the resource document for the National Association of EMS Physicians position statement on ambulance diversion and ED offload time.     

Rapid Two-stage Emergency Department Intervention for Seniors: Impact on Continuity of Care

OBJECTIVES: A two-stage intervention comprising screening and a brief standardized nursing assessment and referral, for emergency department (ED) patients aged 65 years and over, reduced the rate of functional decline four months after the visit, without increasing societal costs. In this study, the authors investigated the effects of the intervention on the process of care at, and during the month after, the ED visit. METHODS: Patients at four Montreal hospital EDs were randomized by day of visit to the intervention or to usual care. Patients admitted to the hospital were excluded. Measures of process of care included: referrals and visits to the primary physician and to the local community health center, for home care or other services, and return ED visits. Data sources included hospital charts, patient questionnaires, and provincial administrative databases. RESULTS: The study sample included 166 intervention and 179 control group patients ready for discharge from the ED. Intervention group patients were more likely to have a chart-documented referral to their local community health center [adjusted odds ratio (OR) 4.0, 95% confidence interval (95% CI) = 1.7 to 9.5] and their primary physician [adjusted OR 1.9, 95% CI = 1.0 to 3.4], and to have received home care services one month after the ED visit [adjusted OR 2.3, 95% CI = 1.1 to 5.1]. Unexpectedly, they were also more likely to make a return visit to the ED [adjusted OR 1.6, 95% CI = 1.0 to 2.6]. CONCLUSIONS: The beneficial outcomes of the intervention appear to result primarily from the early provision of home care rather than early contact with the primary physician.     

Hypoglycemia Emergencies: Factors Associated with Prehospital Care,Transportation Status,Emergency Department Disposition,and Cost

Objectives: The objectives of this study were to evaluate demographic/clinical characteristics and treatment/transportation decisions by emergency medical services (EMS) for patients with hypoglycemia and link EMS activations to patient disposition, outcomes, and costs to the emergency medical system. This evaluation was to identify potential areas where improvements in prehospital healthcare could be made. Methods: This was a retrospective analysis of the National Emergency Medical Services Information System (NEMSIS) registry and three national surveys: Nationwide Emergency Department Sample (NEDS), National Hospital Ambulatory Medical Care Survey (NHAMCS), and Medical Expenditure Panel Survey (MEPS) from 2013, to examine care of hypoglycemia from the prehospital and the emergency department (ED) perspectives. Results: The study estimated 270,945 hypoglycemia EMS incidents from the NEMSIS registry. Treatments were consistent with national guidelines (i.e., oral glucose, intravenous [IV] dextrose, or glucagon), and patients were more likely to be transported to the ED if the incident was in a rural setting or they had other chief concerns related to the pulmonary or cardiovascular system. Use of IV dextrose decreased the likelihood of transportation. Approximately 43% of patients were not transported from the scene. Data from the NEDS survey estimated 258,831 ED admissions for hypoglycemia, and 41% arrived by ambulance. The median ambulance expenditure was $664?±?98. From the ED, 74% were released. The average ED charge that did not lead to hospital admission was $3106?±?86. Increased odds of overnight admission included infection and acute renal failure. Conclusions: EMS activations for hypoglycemia are sizeable and yet a considerable proportion of patients are not transported to or are discharged from the ED. Seemingly, these events resolved and were not medically complex. It is possible that implementation and appropriate use of EMS treat-and-release protocols along with utilizing programs to educate patients on hypoglycemia risk factors and emergency preparedness could partially reduce the burden of hypoglycemia to the healthcare system.     

Burden of Emergency Medical Services Usage by Dialysis Patients

Background: Patients receiving chronic dialysis often require emergent and inpatient care; however, only a minimal amount is known about their out-of-hospital/inter-hospital use of Emergency Medical Services (EMS). The purpose of this study was to describe the utilization of EMS in a cohort of dialysis patients. Methods: We analyzed a cohort of adult (≥18 years) chronic dialysis patients within the Nova Scotia Health Authority Central Zone Renal Program who initiated chronic dialysis between January 1, 2009 and June 30, 2013 (last follow up July 1, 2015). Dialysis patient data was linked to regional EMS data. Requests for EMS, including encounter type, day of the week, and patient characteristics were described. Results: The cohort consisted of 468 patients of whom 79% (N = 361) had an EMS encounter. There were a total of 8,774 EMS encounters for the entire cohort. Patients who had an EMS encounter tended to be older (64 ± 14 years), compared to those without an encounter (55 ± 16 years, P < 0.001) and also had a higher burden of comorbidity. Transfers (including those between facilities) accounted for 89% of all encounters (N = 7,826), followed by emergency department (ED) transports (N = 749, 9%). Overall, 79% of all non-transfers underwent transport to the ED. For patients receiving thrice weekly in-center hemodialysis, the highest EMS utilization for ED transport occurred on the first hemodialysis day after the long dialysis break (22%, P < 0.01). The lowest proportion of ED transports occurred on the day after hemodialysis day 3. Conclusion: Utilization of EMS services by dialysis patients is considerable, particularly for transfers. This highlights a potential area to be targeted for reducing resource utilization. Calls requiring transport to the ED occurred most often on Mondays and Tuesdays, the day after the long-dialysis break, and may represent a time of heightened risk for in-center hemodialysis patients.     

The Epidemiology of Emergency Medical Services Use by Children: An Analysis of the National Hospital Ambulatory Medical Care Survey

Objective. There is an absence of nationally representative data describing pediatric patients who use emergency medical services (EMS) andthe factors associated with EMS use by children. This study characterizes pediatric emergency department (ED) visits for which the patient arrived by EMS andidentifies factors associated with those visits using a nationally representative database. Methods. A secondary analysis of the ED component of the 1997–2000 National Hospital Ambulatory Medical Care Survey was performed. The dependent variable was the mode of arrival to the ED (EMS vs. not EMS), andindependent variables were grouped into four domains: demographic, clinical, system, andservice characteristics. Bivariate analyses andmultivariate logistic regression analyses were conducted. Results. There were 110.9 million ED visits by children aged <19 years between 1997 and2000. Pediatric patients constituted 27.3% of all ED visits during this time, and7.9 million (7.1%) of these patients arrived via EMS. Pediatric patients represented 13% of all EMS transports. The annual EMS utilization rate by children was 26 per 1,000, compared with 66 per 1,000 in the adult population (p < 0.001). Sixteen percent of children transported by EMS were admitted to the hospital. Sixty-two percent of pediatric patients arriving at the ED by EMS were transported as a result of injury or poisoning. Characteristics significantly associated with arrival by EMS in the final multivariate model included demographic (age, African American race, urban residence), clinical (need for greater immediacy of care, illnesses associated with certain diagnoses), andservice (greater number of diagnostic services) variables. Conclusions. Pediatric patients transported by EMS are more likely to have injuries andpoisoning, andhave higher-acuity illness than those arriving at the ED by other means. The epidemiology of pediatric EMS use may have important operational, training, andpublic health implications andrequires further study.     

Population-level Spatial Access to Prehospital Care by the National Ambulance Service in Ghana

Background: Conditions requiring emergency treatment disproportionately affect low- and middle-income countries (LMICs), where there is often insufficient prehospital care capacity. To inform targeted prehospital care development in Ghana, we aimed to describe spatial access to formal prehospital care services and identify ambulance stations for capacity expansion. Methods: Cost distance methods were used to evaluate areal and population-level access to prehospital care within 30 and 60 minutes of each of the 128 ambulance stations in Ghana. With network analysis methods, a two-step floating catchment area model was created to identify district-level variability in access. Districts without NAS stations within their catchment areas were identified as candidates for an additional NAS station. Additionally, five candidate stations for capacity expansion (e.g., addition of an ambulance) were then identified through iterative simulations that were designed to identify the stations that had the greatest influence on the access scores of the ten lowest access districts. Results: Following NAS inception, the proportion of Ghana's landmass serviceable within 60 minutes of a station increased from 8.7 to 59.4% from 2004 to 2014, respectively. Over the same time period, the proportion of the population with access to the NAS within 60-minutes increased from 48% to 79%. The two-step floating catchment area model identified considerable variation in district-level access scores, which ranged from 0.05 to 2.43 ambulances per 100,000 persons (median 0.45; interquartile range 0.23-0.63). Seven candidate districts for NAS station addition and five candidate NAS stations for capacity expansion were identified. The addition of one ambulance to each of the five candidate stations improved access scores in the ten lowest access districts by a total 0.22 ambulances per 100,000 persons. Conclusions: The NAS in Ghana has expanded its population-level spatial access to the majority of the population; however, access inequality exists in both rural and urban areas that can be improved by increasing station capacity or adding additional stations. Geospatial methods to identify access inequities and inform service expansion might serve as a model for other LMICs attempting to understand and improve formal prehospital care services.