Evidence map›Paper›PMID 30953110›Full record

ArticleEuropean journal of trauma and emergency surgery : official publication of the European Trauma Society2020

Mobile wireless monitoring system for prehospital emergency care.

Natasa Koceska, Radko Komadina, Monika Simjanoska, Bojana Koteska, Andrej Strahovnik, Anton Jošt, Rok Maček, Ana Madevska-Bogdanova, Vladimir Trajkovik, Jurij Franc Tasič and 1 more

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Article in European journal of trauma and emergency surgery : official publication of the European Trauma Society, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed, 1 pooled it
2.3field-weighted citation impact, top 12% of its field
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

6 citing papers in PubMed, 1 synthesis or guideline pooled it, 16 citations in OpenAlex.

  1. Pooled it
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  3. Review
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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

11 authors at 4 institutions in 2 countries.

Natasa KoceskaFaculty of Computer Science, University "Goce Delchev"-Stip, Stip, Macedonia. natasa.koceska@ugd.edu.mk.
Radko KomadinaGeneral Hospital Celje, Celje, Slovenia. radko.komadina@gmail.com.ORCID http://orcid.org/0000-0001-7530-4605
Monika SimjanoskaFaculty of Computer Science and Engineering, University "Ss Cyril and Methodious", Skopje, Macedonia.
Bojana KoteskaFaculty of Computer Science and Engineering, University "Ss Cyril and Methodious", Skopje, Macedonia.
Andrej StrahovnikGeneral Hospital Celje, Celje, Slovenia.
Anton JoštGeneral Hospital Celje, Celje, Slovenia.
Rok MačekGeneral Hospital Celje, Celje, Slovenia.
Ana Madevska-BogdanovaFaculty of Computer Science and Engineering, University "Ss Cyril and Methodious", Skopje, Macedonia.
Vladimir TrajkovikFaculty of Computer Science and Engineering, University "Ss Cyril and Methodious", Skopje, Macedonia.
Jurij Franc TasičFaculty of Electrical Engineering, University of Ljubljana, Ljubljana, Slovenia.
Janez TronteljFaculty of Electrical Engineering, University of Ljubljana, Ljubljana, Slovenia.
Ss. Cyril and Methodius University in Skopje · MKCollege of Nursing in Celje · SIUniversity of Ljubljana · SIGoce Delcev University · MK

Funding

North Atlantic Treaty Organization NATO.EAP.SFPP 984753
6 · The paper itself

Abstract

backgroundLatest achievement technologies allow engineers to develop medical systems that medical doctors in the health care system could not imagine years ago. The development of signal theory, intelligent systems, biophysics and extensive collaboration between science and technology researchers and medical professionals, open up the potential for preventive, real-time monitoring of patients. With the recent developments of new methods in medicine, it is also possible to predict the trends of the disease development as well the systemic support in diagnose setting. Within the framework of the needs to track the patient health parameters in the hospital environment or in the case of road accidents, the researchers had to integrate the knowledge and experiences of medical specialists in emergency medicine who have participated in the development of a mobile wireless monitoring system designed for real-time monitoring of victim vital parameters. Emergency medicine responders are first point of care for trauma victim providing prehospital care, including triage and treatment at the scene of incident and transport from the scene to the hospital. Continuous monitoring of life functions allows immediate detection of a deterioration in health status and helps out in carrying out principle of continuous e-triage. In this study, a mobile wireless monitoring system for measuring and recording the vital parameters of the patient was presented and evaluated. Based on the measured values, the system is able to make triage and assign treatment priority for the patient. The system also provides the opportunity to take a picture of the injury, mark the injured body parts, calculate Glasgow Coma Score, or insert/record the medication given to the patient. Evaluation of the system was made using the Technology Acceptance Model (TAM). In particular we measured: perceived usefulness, perceived ease of use, attitude, intention to use, patient status and environmental status.

methodsA functional prototype of a developed wireless sensor-based system was installed at the emergency medical (EM) department, and presented to the participants of this study. Thirty participants, paramedics and doctors from the emergency department participated in the study. Two scenarios common for the prehospital emergency routines were considered for the evaluation. Participants were asked to answer the questions referred to these scenarios by rating each of the items on a 5-point Likert scale.

resultsPath coefficients between each measured variable were calculated. All coefficients were positive, but the statistically significant were only the following: patient status and perceive usefulness (β = 0.284, t = 2.097), environment (both urban a nd rural) and perceive usefulness (β = 0.247, t = 2.570; β = 0.329, t = 2.083, respectively), and perceive usefulness and behavioral intention (β = 0.621 t = 7.269). The variance of intention is 47.9%.

conclusionsThe study results show that the proposed system is well accepted by the EM personnel and can be used as a complementary system in EM department for continuous monitoring of patients' vital signs.

Indexed as

Wireless TechnologyEmergency Medical ServicesEmergency Service, HospitalEquipment DesignGlasgow Coma ScaleHumansMonitoring, PhysiologicTriageUser-Computer Interfacee-TriagePrehospital treatmentTAM modelVital signs monitoringWireless sensors

Identifiers

PMID30953110
OpenAlexW2932574482

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

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.