Evidence map›Paper›PMID 42765022›Full record

ArticleBulletin of emergency and trauma2026

Development of a Minimum Dataset for a Prehospital Stroke Emergency Dashboard.

Zahra Shahabinia, Azam Sadat Hosseini, Seyed Mohammad Reza Hosseini, Hamid Moghaddasi

Abstract read
In one paragraph

Article in Bulletin of emergency and trauma, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0citing papers in PubMed
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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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

4 authors.

Zahra ShahabiniaDepartment of Health Information Technology, School of Allied Medical Sciences, Shahid Beheshti University of Medical Sciences, Tehran, Iran.
Azam Sadat HosseiniDepartment of Health Information Technology, School of Allied Medical Sciences, Shahid Beheshti University of Medical Sciences, Tehran, Iran.
Seyed Mohammad Reza HosseiniDepartment of Emergency Nursing, School of Nursing and Midwifery, Geriatric Health Research Center, Birjand University of Medical Sciences, Birjand, Iran.
Hamid MoghaddasiDepartment of Health Information Technology, School of Allied Medical Sciences, Shahid Beheshti University of Medical Sciences, Tehran, Iran.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objective: This study aimed to develop a Minimum Dataset (MDS) for a prehospital stroke emergency information dashboard in Iran. Methods: This applied study was conducted in four phases. Phase 1 involved a scoping review (Arksey and O'Malley framework, PRISMA-ScR) of PubMed, Scopus, and Web of Science databases in August 2024. In phase 2, data items were extracted and refined from the included studies and aligned with key domestic and international clinical guidelines. Phase 3 consisted of element classification with expert input. In phase 4, content validity was assessed using the content validity ratio (CVR) and content validity index (CVI) among 10 experts, and elements were finalized based on necessity, clarity, and simplicity. Results: Data elements were organized into two main categories: management data and clinical data. The validated MDS comprised 91 essential elements. Management data (41 elements) included identity and mission information (17 elements: mission identifier, patient information, incident location, dispatch team), key time indicators (11 elements: golden times, standard time intervals), and structural/logistical indicators (13 elements: equipment, human resources). Clinical data (50 elements) comprised initial assessment and stroke screening (5 elements: level of consciousness, Face-Arm-Speech-Time [FAST] test, symptom onset time), vital signs and clinical findings (18 elements: continuous monitoring, associated symptoms, medical history), prehospital interventions (10 elements: airway/ABC, specialized measures, pharmacotherapy), in-hospital interventions (2 elements: diagnostic and therapeutic measures), and outcome/final diagnosis (15 elements: dispatch, technician, in-hospital diagnoses; patient outcome; prehospital quality of care). Conclusion: This standardized MDS integrated prehospital data, reduced documentation burden, and supported dashboards for performance monitoring, outcome feedback, benchmarking, delay reduction, and improved stroke outcomes.

Indexed as

Dashboard systemsDatasetDevelopmentEmergency medical servicesStroke

Identifiers

PMID42765022
PMCPMC13590017

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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.