Evidence map›Paper›PMID 40367011›Full record

Trial reportEinstein (Sao Paulo, Brazil)2025

A pilot study on feasibility and hypothesis exploration: reducing on-scene length of stay of the emergency teams via ambulance dispatch teleconsultation for prehospital examination.

Tarso Augusto Duenhas Accorsi, João Carlos Barbosa, Ricardo Galesso Cardoso, José Leão de Souza Junior, Karine De Amicis, Renata Albaladejo Morbeck, José Paulo Ladeira, Eduardo Cordioli, Carlos Henrique Sartorato Pedrotti

Abstract readRandomized Controlled Trial
In one paragraph

Trial report in Einstein (Sao Paulo, Brazil), 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–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

1 citing paper in PubMed.

  1. Review
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

9 authors.

Tarso Augusto Duenhas AccorsiTelemedicine Department, Hospital Israelita Albert Einstein, São Paulo, SP, Brazil.ORCID http://orcid.org/0000-0002-8023-3466
João Carlos BarbosaEmergency Department, Hospital Israelita Albert Einstein, São Paulo, SP, Brazil.ORCID http://orcid.org/0000-0001-8599-710X
Ricardo Galesso CardosoEmergency Department, Hospital Israelita Albert Einstein, São Paulo, SP, Brazil.ORCID http://orcid.org/0000-0002-1935-607X
José Leão de Souza JuniorEmergency Department, Hospital Israelita Albert Einstein, São Paulo, SP, Brazil.ORCID http://orcid.org/0009-0002-6393-3046
Karine De AmicisTelemedicine Department, Hospital Israelita Albert Einstein, São Paulo, SP, Brazil.ORCID http://orcid.org/0000-0002-9936-2436
Renata Albaladejo MorbeckTelemedicine Department, Hospital Israelita Albert Einstein, São Paulo, SP, Brazil.ORCID http://orcid.org/0000-0003-1789-1738
José Paulo LadeiraTelemedicine Department, Hospital Israelita Albert Einstein, São Paulo, SP, Brazil.ORCID http://orcid.org/0000-0003-0624-077X
Eduardo CordioliTelemedicine Department, Hospital Israelita Albert Einstein, São Paulo, SP, Brazil.ORCID http://orcid.org/0000-0001-5405-9380
Carlos Henrique Sartorato PedrottiTelemedicine Department, Hospital Israelita Albert Einstein, São Paulo, SP, Brazil.ORCID http://orcid.org/0000-0002-0634-7086

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThis pilot study showed that teleconsultation during ambulance dispatch considerably reduced the emergency team's on-scene evaluation time, underscoring the potential of telemedicine in prehospital care. ■ Teleconsultation reduced on-scene time from 36.8 to 20.6 min (p=0.019). ■ Video-based prearrival anamnesis improved team efficiency. ■ Interventions and clinical profiles were similar across the groups. ■ Study supports broader telemedicine adoption in emergency care.

objectiveAmbulance transport time is an important metric in prehospital care. Limited studies have explored strategies to decrease on-scene time. We examined the effect of collecting telemedicine-based medical data during ambulance dispatch on the on-scene evaluation time of the prehospital team.

methodsThis randomized, single-center, open-label study included individuals aged >18 years who independently sought hospital emergency services and requested on-site emergency care. Individuals with primary trauma emergencies occurring outside the home, cardiac arrest cases, and situations in which video communication was unfeasible were excluded.

resultsTwenty patients were randomized to receive telemedicine assessment during ambulance dispatch or standard care with physician phone support. Both groups were comparable in age (53.2 ± 26.1 versus 63.4 ± 24.2 years, p=0.380), sex (50% versus 70% female, p=0.360), initial vital signs, and medical history. The main reasons for patients calls were falls from standing height (30%), followed by cardiovascular symptoms (20%), and acute neurological events (15%). Teleconsultation via a mobile application was successfully conducted in all cases. Furthermore, in situ interventions, including venous access, oxygen therapy, orthopedic immobilization, hypotension stabilization, and symptomatic treatment, were similar between the groups. The Telemedicine Group demonstrated a significantly shorter on-scene evaluation time (20.45 ± 6 min) than the Standard Group (36.80 ± 20.4 min, p = 0.019).

conclusionConducting checklist-based anamnesis teleconsultation during ambulance dispatch considerably decreased the on-scene evaluation time of the emergency team. Further research with larger cohorts and different settings is required to better examine telemedicine's potential in this context.

Indexed as

AmbulancesEmergency Medical DispatchEmergency Medical ServicesLength of StayRemote ConsultationAdultAgedFeasibility StudiesFemaleHumansMaleMiddle AgedPilot ProjectsTelemedicineTime Factors

Identifiers

PMID40367011
PMCPMC12094677

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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.