ArticleScandinavian journal of trauma, resuscitation and emergency medicine2016
Geographic information system data from ambulances applied in the emergency department: effects on patient reception.
Article in Scandinavian journal of trauma, resuscitation and emergency medicine, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT02188966 (Telemedical Solutions in Medical Emergencies, Advantages and Disadvantages for Patients, Healthcare Professionals, and Healthcare System. Study 4), which is not on this map. Cited by 4 papers, 1 of them a synthesis that pooled it.
What it found
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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.
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.
Telemedical Solutions in Medical Emergencies, Advantages and Disadvantages for Patients, Healthcare Professionals, and Healthcare System. Study 4: Application of Geographical Information System Data in the Emergency Department, Effect on Trauma Team and Medical Emergency Team Wait - a Before and After Study
Who cites it
4 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Pooled it
- Effect of urgency level on prehospital emergency transport times: a natural experiment.Internal and emergency medicine · 2024Article
- Challenges and opportunities to improve efficiency and quality of prehospital emergency care using an mHealth platform: Qualitative study in Rwanda.African journal of emergency medicine : Revue africaine de la medecine d'urgence · 2023Article
- Improvements in Patient Acceptance by Hospitals Following the Introduction of a Smartphone App for the Emergency Medical Service System: A Population-Based Before-and-After Observational Study in Osaka City, Japan.JMIR mHealth and uHealth · 2017Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
5 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundEmergency departments (ED) recognize crowding and handover from prehospital to in-hospital settings to be major challenges. Prehospital Geographical Information Systems (GIS) may be a promising tool to address such issues. In this study, the use of prehospital GIS data was implemented in an ED in order to investigate its effect on 1) wait time and unprepared activations of Trauma Teams (TT) and Medical Emergency Teams (MET) and 2) nurses' perceptions regarding patient reception, workflow and resource utilization.
methods
interventionFrom May 1st 2014 to October 31th 2014, GIS data was displayed in the ED. Data included real-time estimated time of arrival, distance to ED, dispatch criteria, patient data and ambulance contact information. Data was used by coordinating nurses for time activation of TT and MET involved in the initial treatment of severely-injured or critically-ill patients. In addition, it was used as a logistics tool for handling all other patients transported by ambulance to the ED. STUDY
designThe study followed a mixed-methods design, consisting of a quantitative study (before and after intervention) and a qualitative study (survey and interviews).
participantsParticipants included all patients received by TT or MET and coordinating nurses in the ED.
results1.) Quantitative: 599 patients were included. The median wait time for TT and MET was 5 min both before and after the GIS intervention, showing no difference (p = 0.18). A significant reduction in the subgroup of waits >10 min was found (p < 0.05). No difference was found in unprepared TT and MET activations. 2.) Qualitative: Nurses perceived GIS data as a tool to optimize resource utilization and quality of all patients' reception, critically or non-critically ill. No substantial disadvantages were reported. DISCUSSION: The contradiction of measured median wait time and nurses perceived improved timing of team activation may result from having both RT- ETA and supplemental patient information not only for seriously-injured or critically-ill patients received by the TT and MET, but for all patients transported by ambulance. The reduction in waits > 10 minutes may have contributed to the overall perception of reduced wait time, as avoidance of long waits is clinically more important than reduction in the median wait time.
conclusionA comparison of the use of prehospital GIS data in the ED with the control period showed no effect on median wait time for TT and MET, however, the number of waits of >10 min was reduced. On the other hand, nurses perceived implementation of GIS data as improving workflow, resource utilization and quality of all patients' reception, critically as well as non-critically ill. There were no substantial disadvantages to the GIS application.
trial registrationClinicalTrials.gov (NCT02188966).
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