Evidence map›Paper›PMID 41174797›Full record

ArticleTrials2025

Evaluation of the accuracy, safety, utility and feasibility of using an urgency self-assessment application in self-referred patients in the emergency department: study protocol for a prospective, multicenter cohort trial.

Daniela Krüger, David Legg, Dorian Jouhoff, Larissa Eienbröker, Nora Köhne, Konrad Neumann, Martin Möckel, Anna Slagman

Abstract readClinical Trial Protocol
In one paragraph

Article in Trials, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing 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

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

8 authors.

Daniela KrügerDepartment of Emergency and Acute Medicine, Campus Virchow-Klinikum and Campus Charité Mitte, Charité - Universitätsmedizin Berlin, Berlin, Germany. daniela.krueger2@charite.de.ORCID http://orcid.org/0000-0002-0378-335X
David LeggDepartment of Emergency and Acute Medicine, Campus Virchow-Klinikum and Campus Charité Mitte, Charité - Universitätsmedizin Berlin, Berlin, Germany.
Dorian JouhoffDepartment of Emergency and Acute Medicine, Campus Virchow-Klinikum and Campus Charité Mitte, Charité - Universitätsmedizin Berlin, Berlin, Germany.
Larissa EienbrökerDepartment of Emergency and Acute Medicine, Campus Virchow-Klinikum and Campus Charité Mitte, Charité - Universitätsmedizin Berlin, Berlin, Germany.ORCID https://orcid.org/0009-0000-6791-1413
Nora KöhneDepartment of Emergency and Acute Medicine, Campus Virchow-Klinikum and Campus Charité Mitte, Charité - Universitätsmedizin Berlin, Berlin, Germany.
Konrad NeumannInstitute of Biometry and Clinical Epidemiology, Campus Charité Mitte, Charité - Universitätsmedizin Berlin, Berlin, Germany.
Martin MöckelDepartment of Emergency and Acute Medicine, Campus Virchow-Klinikum and Campus Charité Mitte, Charité - Universitätsmedizin Berlin, Berlin, Germany.ORCID https://orcid.org/0000-0002-7691-3709
Anna SlagmanDepartment of Emergency and Acute Medicine, Campus Virchow-Klinikum and Campus Charité Mitte, Charité - Universitätsmedizin Berlin, Berlin, Germany.ORCID https://orcid.org/0000-0003-2608-0347

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundAlgorithm-based patient navigation is a key feature of the emergency and acute care reform being discussed in Germany. The software Structured Initial Medical Evaluation in Germany (SmED) is designed to assist in determining the appropriate time for medical complaints to be treated, as well as their most appropriate level of care. SmED is available in three different configurations, each of which is currently used in the German acute care sector and can be utilized by either a provider (SmED-Contact, SmED-Contact +) or a self-applicant (SmED-Patient). SmED-Patient is offered as a web-based self-assessment application that provides recommendations on the medical urgency and appropriate level of care for acute symptoms. This is the first study to explore and evaluate the accuracy, safety, utility and feasibility of using the self-assessment application SmED-Patient for self-referring patients and medical staff in the emergency department (ED) setting in Germany.

methodsThe study uses a mixed methods approach, including a prospective, multicenter cohort study combined with retrospective expert review of SmED-Patient recommendations for all cases by an expert panel as well as focus groups and a microsimulation. Expert reviews assess SmED-Patient recommendations on patients' treatment urgency and the appropriate level of care based on routine clinical data. Adult patients (≥ 18 years) who self-refer at two inner-city emergency departments in Berlin (Germany) and able to provide written informed consent will be invited to participate. Target number of patients is n = 150. The primary endpoint is the accuracy of SmED-Patient's recommended level of care, measured as the agreement with the expert review for all cases. Secondary endpoints include safety, utility and feasibility of use. Data sources include primary data, routine clinical data, and qualitative data from focus groups and a microsimulation. DISCUSSION: This study will provide insight into the accuracy, utility, safety and feasibility of using the self-assessment application SmED-Patient in the ED. By facilitating medical self-assessment for self-referring walk-in patients, SmED-Patient could contribute to re-directing patients to ambulatory care providers, improving the efficiency of ED operations and benefit providers' as well as patients' care experiences in the ED.

trial registrationGerman Clinical Trials Register: DRKS00036266. 25/02/2025.

Indexed as

Decision Support TechniquesEmergency Service, HospitalAlgorithmsFeasibility StudiesGermanyHumansMulticenter Studies as TopicObservational Studies as TopicProspective StudiesSoftwareAccuracyEmergency departmentFeasibilityLow-acuity consultationMobile applicationPatient navigationSafetySelf-referred patientsSmEDSymptom assessment application (SAA)Utility

Identifiers

PMID41174797
PMCPMC12579394

What OpenQuestion holds

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LicenceCC BY
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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.