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

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

9-1-1 Triage of Non-Traumatic Chest Pain: Association with Hospital Diagnosis.

OBJECTIVE: Chest pain is one of the most common reasons people seek emergency care-and one of the most critical. In the United States, chest pain is the second most common reason for emergency department (ED) visits. A patient's primary complaint of "chest pain" may reflect a broad range of underlying causes; therefore, it is important that emergency medical service (EMS) agencies gain a thorough understanding of these cases, beginning with the initial management of chest pain in the 9-1-1 center. The primary objective of this study was to compare hospital-confirmed patient discharge diagnoses to all calls handled by emergency medical dispatchers (EMDs) using the Chest Pain/Chest Discomfort (Non-Traumatic) Chief Complaint Protocol. METHODS: The retrospective descriptive study utilized emergency medical dispatch, EMS, and hospital datasets, collected at two emergency communication centers in North America, from January 1, 2013 to December 31, 2014. Patients who were dispatched using the Chest Pain/Chest Discomfort Chief Complaint Protocol and matched to hospital datasets were included. The primary outcome was the number and percentage of cases classified as ischemic heart disease (IHD), other cardiac-related conditions, or non-cardiac-related conditions associated with chest pain. We also evaluated the distribution of causes of chest pain across demographic indicators and dispatch determinants. RESULTS: 3,007 cases were identified as "chest pain" at dispatch for which corresponding hospital records were identified. Cases in the study were obtained by linking EMS/Hospital and Emergency Medical Dispatch datasets. Of these cases, 47.1% (n = 1,417) were due to cardiac-related causes of chest pain, 61.5% of which were Ischemic Heart Disease (IHD), while the rest had other cardiac-related causes. Of the IHDs, 32.1% were Acute Myocardial Infarction (AMI). CONCLUSIONS: Underlying causes of non-traumatic chest pain reported to 9-1-1 demonstrate a wide range of etiologies, with a mix similar to that of chest pain patients in several other healthcare settings, including hospital emergency departments. Most IHD events are triaged by EMDs to the (highest) DELTA priority level, while the CHARLIE level captures nearly all of the remaining IHD cases.

Predictive Ability of an Emergency Medical Dispatch Stroke Diagnostic Tool in Identifying Hospital-Confirmed Strokes.

BACKGROUND: Early hospital notification of a possible stroke arriving via emergency medical services (EMS) can prepare stroke center personnel for timely treatment, especially timely administration of tissue plasminogen activator. Stroke center notification from the emergency dispatch center-before responders reach the scene-may promote even earlier and faster system activation, meaning that stroke center teams may be ready to receive patients as soon as the ambulance arrives. This study evaluates the use of a Medical Priority Dispatch System (MPDS; Priority Dispatch Corp., Salt Lake City, UT) Stroke Diagnostic Tool (SDxT) to identify possible strokes early by comparing the tools' results to on-scene and hospital findings. METHODS: The retrospective descriptive study utilized stroke data from 3 sources: emergency medical dispatch, EMS, and emergency department/hospital. RESULTS: A total of 830 cases were collected between June 2012 and December 2013, of which 603 (72.7%) had matching dispatch records. Of the 603 cases, 304 (50.4%) were handled using MPDS Stroke Protocol 28. The SDxT had an 86.4% ability (OR [95% CI]: 2.3 [1.5, 3.5]) to effectively identify strokes among all the hospital-confirmed stroke cases (sensitivity), and a 26.6% ability to effectively identify nonstrokes among all the hospital-confirmed nonstroke cases (specificity). CONCLUSIONS: The SDxT demonstrated a very high sensitivity, compared to similar tools used in the field and at dispatch. The specificity was somewhat low, but this was expected-and is intended in the creation of protocols to be used over the phone in emergency situations. The tool is a valuable method for identifying strokes early and may allow early hospital notification.