Prehospital Code Stroke triage has the potential to overwhelm stroke centres by falsely identifying patients as eligible for fibrinolysis. We sought to determine whether online medical control (whereby paramedics contact the medical control physician before a Code Stroke triage is assigned) reduced the proportion of false-positive Code Stroke patients.

Following the introduction of a protocol for prehospital Code Stroke triage in an urban centre, online medical control alternated with off-line medical control (whereby paramedics implement Code Stroke triage independently) over 4 discreet intervals. We reviewed data for patients triaged to 3 regional stroke centres to compare the proportion of false-positive Code Stroke patients during online versus off-line medical control. We predefined false positives as patients triaged as Code Stroke who had symptoms discovered on awakening, were last seen in their usual state of health greater than 2 hours before assessment or had a final diagnosis other than stroke.

The proportion of false positives was lower during online medical control (31% v. 42%, p = 0.003). This was explained by a lower proportion of patients whose symptoms were discovered on awakening (8% v. 14%, p < 0.001) and who were last seen in their usual state of health greater than 2 hours before assessment (22% v. 32%, p = 0.005). A final diagnosis of stroke was similar in the 2 groups (77% v. 79%, p = 0.39), as was the proportion of patients receiving fibrinolysis (35% v. 33%, p = 0.72). Eighteen percent of patients were denied Code Stroke triage during online control, most commonly because of the time of symptom onset.

Online medical control is associated with a reduced proportion of false-positive Code Stroke triage.

We sought to evaluate the performance of the Prehospital Index (PHI), the high-velocity impact (HVI) criterion and emergency medical technician (EMT) judgment for the prehospital triage of injured patients.

The study population included all prehospital trauma patients transported by an emergency medical service to 2 level-I trauma centres for adults. All prehospital run sheets were linked to trauma registry data. The main outcome was severe trauma, defined as death within 72 hours, admission to the intensive care unit within 24 hours or an Injury Severity Score greater than 15. We assessed sensitivity, specificity and rates of overtriage.

Of 16 805 patients in the study population, 1113 (6.62%) had severe trauma. The combination of all 3 triage criteria (PHI score ≥ 4, HVI presence and EMT judgment) performed best for identifying patients with severe trauma, with a sensitivity of 74.2% but with an overtriage rate of 85.1%. Alone, EMT judgment had the highest sensitivity and a PHI score of 4 or greater had the lowest rate of overtriage.

Although the combination of PHI score, HVI presence and EMT judgment offers the highest sensitivity for the identification of patients that could benefit from direct transport to a level-I trauma centre, overall sensitivity remains low and overtriage is high. More research is required to improve prehospital triage.

The general objective of this study was to explore the challenges of establishing an out-of-hospital cardiac arrest (OOHCA) surveillance program in Canada. More specifically, we attempted to determine the organizational structure of the delivery of emergency medical services (EMS) in Canada, describe the cardiac arrest data collection infrastructure in each province and determine which OOHCA variables are being collected.

We conducted a national survey of 82 independent EMS health authorities in Canada. Methodology experts developed the survey and distribution using a modified Dillman technique. We distributed 67 surveys electronically (84%) and the rest by regular mail. We weighted each survey response by the population of the catchment area represented by the responding health authority (2004 census). Descriptive statistics are reported.

We received 60 completed surveys, representing a 73% response rate. The responding health authorities' catchment areas represented 80% of the Canadian population (territories excluded). Our survey results highlight a lack of common OOHCA data definitions used among health authorities, sporadic use of data quality assurance procedures, rare linkages to in-hospital survival outcomes and potential confidentiality issues. Other challenges raised by respondents included determining warehousing location and finding financial resources for a national OOHCA registry.

Results from this survey demonstrate that, although it is challenging, it is possible to collect OOHCA data and access in-hospital survival outcomes. Collaborative efforts with the Resuscitation Outcomes Consortium and other potential provincial partners should be explored.

We derived a clinical decision rule to determine which emergency department (ED) patients with chest pain and possible acute coronary syndrome (ACS) require chest radiography.

We prospectively enrolled patients over 24 years of age with a primary complaint of chest pain and possible ACS over a 6-month period. Emergency physicians completed standardized clinical assessments and ordered chest radiographs as appropriate. Two blinded investigators independently classified chest radiographs as “normal,” “abnormal not requiring intervention” and “abnormal requiring intervention,” based on review of the radiology report and the medical record. The primary outcome was abnormality of chest radiographs requiring acute intervention. Analyses included interrater reliability assessment (with κ statistics), univariate analyses and recursive partitioning.

We enrolled 529 patients during the study period between Jul. 1, 2007, and Dec. 31, 2007. Patients had a mean age of 59.9 years, 60.3% were male, 4.0% had a history of congestive heart failure and 21.9% had a history of acute myocardial infarction. Only 2.1% (95% confidence interval [CI] 1.1%–3.8%) of patients had radiographic abnormality of the chest requiring acute intervention. The κ statistic for chest radiograph classification was 0.81 (95% CI 0.66–0.95). We derived the following rule: patients can forgo chest radiography if they have no history of congestive heart failure, no history of smoking and no abnormalities on lung auscultation. The rule was 100% sensitive (95% CI 32.0%–10.4%) and 36.1% specific (95% CI 32.0%–40.4%).

This rule has potential to reduce health care costs and enhance ED patient flow. It requires validation in an independent patient population before introduction into clinical practice.