Evidence map›Paper›PMID 30477423›Full record

ArticleBMC emergency medicine2018

Application of the emergency medical services trigger tool to measure adverse events in prehospital emergency care: a time series analysis.

Ian Howard, Bernard Pillay, Nicholas Castle, Loua Al Shaikh, Robert Owen, David Williams

Abstract read
In one paragraph

Article in BMC emergency medicine, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed, 1 pooled it
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

4 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Measurement and monitoring patient safety in prehospital care: a systematic review.International journal for quality in health care : journal of the International Society for Quality in Health Care · 2021
    Pooled it
  2. Article
  3. Article
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

6 authors.

Ian HowardDepartment: Hamad Medical Corporation Ambulance Service, Institution: Hamad Medical Corporation, P.O. Box 3050, Doha, Qatar. ihoward@hamad.qa.
Bernard PillayDepartment: Hamad Medical Corporation Ambulance Service, Institution: Hamad Medical Corporation, P.O. Box 3050, Doha, Qatar.
Nicholas CastleDepartment: Hamad Medical Corporation Ambulance Service, Institution: Hamad Medical Corporation, P.O. Box 3050, Doha, Qatar.
Loua Al ShaikhDepartment: Hamad Medical Corporation Ambulance Service, Institution: Hamad Medical Corporation, P.O. Box 3050, Doha, Qatar.
Robert OwenDepartment: Hamad Medical Corporation Ambulance Service, Institution: Hamad Medical Corporation, P.O. Box 3050, Doha, Qatar.
David WilliamsDepartment: Improvement Capability, Institution: Institute for Healthcare Improvement, Cambridge, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundEmergency Care has previously been identified as an area of significant concern regarding the prevalence of Adverse Events (AEs). However, the majority of this focus has been on the in-hospital setting, with little understanding of the identification and incidence of AEs in the prehospital environment.

methodThe early development and testing of Emergency Medical Services (EMS) specific triggers for the identification of AEs and Harm has been previously described. To operationalise the Emergency Medical Services Trigger Tool (EMSTT), the processes developed by the Institute for Healthcare Improvement for use with the Global Trigger Tool were adapted to a prehospital emergency care setting. These were then applied using a stepwise approach to the analysis of 36 consecutive samples of patient care records over an 18-month period (n = 710). Inter-rater reliability was measured for each trigger item and level of Harm classification. Total Triggers per 10,000 Patient Encounters, AEs per 10,000 Patient Encounters and Harm per 10,000 Patient Encounters were measured. All measures were plotted on Statistical Process Control Charts.

resultsThere was a high level of inter-rater agreement across all items (range: 85.6-100%). The EMSTT found an average rate of 8.20 Triggers per 10,000 Patient Encounters, 2.48 AEs per 10,000 Patient Encounters and 0.34 Harm events per 10,000 Patient Encounters. Three triggers: Change in Systolic Blood Pressure Greater Than 20%; Temp > 38 °C without subsequent reduction; and SpO DISCUSSION: With sufficient focus on implementation and data collection, as well as the inclusion of a contextually relevant system for classifying AE/Harm, the EMSTT represents a potentially successful strategy towards identifying the rate of AEs within EMS across a large patient population with limited commitment of time and resources.

Indexed as

Emergency Medical ServicesMedical ErrorsHumansMedical AuditPatient SafetyRetrospective StudiesTime FactorsAdverse events, harmEmergency medical servicesPatient safetyTrigger tool

Identifiers

PMID30477423
PMCPMC6258398

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.