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

Development and validation of a prediction rule for patients suspected of acute coronary syndrome in primary care: a cross-sectional study

OBJECTIVE

To develop and validate a symptom-based prediction rule for early recognition of acute coronary syndrome (ACS) in patients with acute chest discomfort who call out-of-hours services for primary care (OHS-PC).

DESIGN

Cross-sectional study. A diagnostic prediction rule was developed with multivariable regression analyses. All models were validated with internal-external cross validation within seven OHS-PC locations. Both age and sex were analysed as statistical interaction terms, applying for age non-linear effects.

SETTING

Seven OHS-PC in the Netherlands.

PARTICIPANTS

2192 patients who called OHS-PC for acute chest discomfort (pain, pressure, tightness or discomfort) between 2014 and 2017. Backed up recordings of telephone triage conversations were analysed.

PRIMARY AND SECONDARY OUTCOMES MEASURES

Diagnosis of ACS retrieved from the patient's medical records in general practice, including hospital specialists discharge letters. Performance of the prediction rules was calculated with the c-statistic and the final model was chosen based on net benefit analyses.

RESULTS

Among the 2192 patients who called the OHS-PC with acute chest discomfort, 8.3% females and 15.3% males had an ACS. The final diagnostic model included seven predictors (sex, age, acute onset of chest pain lasting less than 12 hours, a pressing/heavy character of the pain, radiation of the pain, sweating and calling at night). It had an adjusted c-statistic of 0.77 (95% CI 0.74 to 0.79) with good calibration.

CONCLUSION

The final prediction model for ACS has good discrimination and calibration and shows promise for replacing the existing telephone triage rules for patients with acute chest discomfort in general practice and OHS-PC.

TRIAL REGISTRATION NUMBER

NTR7331.

9-1-1 Caller-Described Heart Attack Symptoms

INTRODUCTION

Heart attacks (HAs) present clinically with varying symptoms, which are not always described by patients as chest pain (CP) or chest discomfort (CD). Emergency Medical Dispatchers (EMDs) select the CP/CD dispatch protocol for non-chest pain HA symptoms or classic HA complaint of CP/CD. Nevertheless, it is still unknown how often callers report HA symptoms other than CP/CD.

OBJECTIVES

The objective of this study was to characterize the caller's descriptions of the primary HA symptoms, descriptions of the other HA symptoms, and the use of a case entry (CE) question clarifier.

METHODS

A retrospective descriptive study analyzed randomly selected EMD audios (where CD/CD protocol was used) from five accredited emergency communication centers in the United States. Several Quality Performance Review (QPR) experts reviewed the audios and recorded callers' initial problem descriptions, the use of and responses to the CE question clarifier, including the EMD-assigned final determinant code.

RESULTS

A total of 1,261 audios were reviewed. The clarifier was used only 8.5% of the time. The CP/CD symptoms were mentioned alone or with other problems 87.0% of the time. Overall, CP symptom was mentioned alone 70.8%, HA alone 4.0%, and CD symptom alone 1.4% of the time.

CONCLUSION

9-1-1 callers report potential HA cases using a variety of terms and descriptions-most commonly CP. Other less-common symptoms associated with a HA may be mentioned. Therefore, EMDs must be well-trained to be prepared to probe the caller with a clarifying query to elicit more specific information when "having a heart attack" is the only complaint initially mentioned.

Improving Communication with Patients Discharged from the Emergency Department with Noncardiac Chest Pain: A Scoping Review with Narrative Synthesis

Background

This scoping review with narrative synthesis aimed to analyze scholarly peer-reviewed articles reporting on improving communication with patients discharged from the emergency department with noncardiac chest pain and qualitatively narrate on and summarize items that can be used in guiding communication with patients discharged from the emergency department with noncardiac chest pain.

Methods

The databases of EMBASE/PubMed, Scopus, COCHRANE, CInAHL/EBESCO, UW libraries, and Google Scholar were searched using relevant MeSH and key terms up to February 06, 2020. The selected articles were analyzed for their contents. Items guiding discharge communication were summarized qualitatively.

Results

Twenty-five articles were eligible for full review. These were published in between 1994 and 2020. Of those, 16 (64.0%) originated from the United States and 4 (16%) used some interventional design. A total of 45 different items that could be used in guiding discharge communication with patients presenting to the emergency department with chest pain were identified from the studies included in this review. Items were grouped under 6 categories that were related to initial assessment (8 items), information on diagnosis (7 items), information on discharge (9 items), follow-up suggestions (7 items), symptoms that promote return to the emergency department (7 items), and treatment plan (7 items).

Conclusion

Communication with patients discharged from the emergency department with noncardiac chest pain can be improved. Results of this investigation might be helpful in guiding quality improvement projects aimed for further improvement of communication with patients discharged from the emergency department with noncardiac chest pain.

Accuracy of telephone triage in primary care patients with chest discomfort: a cross-sectional study

OBJECTIVE

To assess the accuracy of semi-automatic assisted telephone triage in patients with acute chest discomfort against the diagnosis of acute coronary syndrome (ACS) or other life-threatening events (LTEs).

METHODS

A cross-sectional study was performed of telephone conversations with 2023 patients with acute chest discomfort (pain, pressure, tightness or discomfort) who called out-of-hours services for primary care (OHS-PC) between 2014 and 2016. Sensitivity, specificity, positive and negative predicted values were calculated for a high urgency (patient seen within one hour) against the diagnoses of ACS and other LTEs. Diagnoses were retrieved from the patients' medical records in general practice, including hospital specialists' discharge letters.

RESULTS

Of 2023 patients who called because of chest discomfort, 227 (11.2%) had an ACS (men 14.9%, women 8.2%) and 58 (2.9%) had another LTE (men 3.6%, women 2.3%). The sensitivity and specificity of a high Netherlands Triage System (NTS) urgency allocation against ACS/other LTEs were 0.73 (95% CI 0.68 to 0.78) and 0.43 (95% CI 0.40 to 0.45), respectively. In 13.2% of the calls the triage nurse overruled the NTS urgency, mostly by upscaling (11.0%). The sensitivity and specificity of the final urgency allocation were 0.86 (95% CI 0.81 to 0.90) and 0.34 (95% CI 0.32 to 0.37). The positive and negative predictive values of the final urgency were 0.18 (95% CI 0.17 to 0.19) and 0.94 (95% CI 0.92 to 0.95), respectively.

CONCLUSIONS

The semi-automatic triage NTS tool underestimated the urgency in 27% of patients with ACS/other LTEs. Overruling by triage nurses improved safety, but still 14% of men and women with ACS/other LTEs received too low urgency, while efficiency remained poor.

TRIAL REGISTRATION NUMBER

NTR7331.

Using Red Lights and Sirens for Emergency Ambulance Response: How Often Are Potentially Life-Saving Interventions Performed?

BACKGROUND

Emergency Medical Services (EMS) often respond to 911 calls using red lights and sirens (RLS). RLS is associated with increased collisions and increased injuries to EMS personnel. While some patients might benefit from time savings, there is little evidence to guide targeted RLS response strategies.

OBJECTIVE

To describe the frequency and nature of 911 calls that result in potentially life-saving interventions (PLSI) during the call.

METHODS

Using data from ESO (Austin, Texas, USA), a national provider of EMS electronic health records, we analyzed all 911 calls in 2018. We abstracted the use of RLS, call nature, and interventions performed. A liberal definition of PLSI was developed a priori through a consensus process and included both interventions, medications, and critical hospital notifications. We calculated the proportion of calls with RLS response and with PLSI performed, both overall and stratified by call nature.

RESULTS

There were 5,977,612 calls from 1,187 agencies included in the analysis. The majority (85.8%) of calls utilized RLS, yet few (6.9%) resulted in PLSI. When stratified by call nature, cardiac arrest calls had the highest frequency PLSI (45.0%); followed by diabetic problems (37.0%). Glucose was the most frequently given PLSI, n = 69,036. When including multiple administrations to the same patient, epinephrine was given most commonly PLSI, n = 157,282 administrations).

CONCLUSION

In this large national dataset, RLS responses were very common (86%) yet potentially life-saving interventions were infrequent (6.9%). These data suggest a methodology to help EMS leaders craft targeted RLS response strategies.