Evidence map›Paper›PMID 39661941›Full record

Trial reportJMIR formative research2024

Implementation and User Satisfaction of a Comprehensive Telemedicine Approach for SARS-CoV-2 Self-Sampling: Monocentric, Prospective, Interventional, Open-Label, Controlled, Two-Arm Feasibility Study.

Florian Voit, Johanna Erber, Silvia Egert-Schwender, Michael Hanselmann, Michael Laxy, Victoria Kehl, Dieter Hoffmann, Samuel D Jeske, Thomas Michler, Ulrike Protzer and 4 more

Abstract readRandomized Controlled Trial
In one paragraph

Trial report in JMIR formative research, 2024. 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

14 authors.

Florian VoitClinical Department for Internal Medicine II - Department of Clinical Medicine, TUM School of Medicine and Health, Technical University of Munich, Munich, Germany.ORCID 0000-0002-6957-6628
Johanna ErberClinical Department for Internal Medicine II - Department of Clinical Medicine, TUM School of Medicine and Health, Technical University of Munich, Munich, Germany.ORCID 0000-0001-6614-6051
Silvia Egert-SchwenderMuenchner Studienzentrum, TUM School of Medicine and Health, Technical University of Munich, Munich, Germany.ORCID 0009-0007-2175-7909
Michael HanselmannProfessorship of Public Health and Prevention, Department Health and Sport Sciences, TUM School of Medicine and Health, Technical University of Munich, Munich, Germany.ORCID 0000-0001-8393-6397
Michael LaxyProfessorship of Public Health and Prevention, Department Health and Sport Sciences, TUM School of Medicine and Health, Technical University of Munich, Munich, Germany.ORCID 0000-0001-8775-7417
Victoria KehlMuenchner Studienzentrum, TUM School of Medicine and Health, Technical University of Munich, Munich, Germany.ORCID 0000-0002-7403-9990
Dieter HoffmannInstitute of Virology, TUM School of Medicine and Health, Technical University of Munich, Munich, Germany.ORCID 0000-0003-3566-3341
Samuel D JeskeInstitute of Virology, TUM School of Medicine and Health, Technical University of Munich, Munich, Germany.ORCID 0000-0003-1948-2057
Thomas MichlerInstitute of Virology, TUM School of Medicine and Health, Technical University of Munich, Munich, Germany.ORCID 0000-0002-4174-3316
Ulrike ProtzerInstitute of Virology, TUM School of Medicine and Health, Technical University of Munich, Munich, Germany.ORCID 0000-0002-9421-1911
Florian KohlmayerProfessorship of Medical Informatics, Institute for Artificial Intelligence and Informatics in Medicine, TUM School of Medicine and Health, Technical University of Munich, Munich, Germany.ORCID 0000-0002-5384-0076
Roland M SchmidClinical Department for Internal Medicine II - Department of Clinical Medicine, TUM School of Medicine and Health, Technical University of Munich, Munich, Germany.ORCID 0000-0002-6945-7581
Christoph D SpinnerClinical Department for Internal Medicine II - Department of Clinical Medicine, TUM School of Medicine and Health, Technical University of Munich, Munich, Germany.ORCID 0000-0002-3875-5367
Simon WeidlichClinical Department for Internal Medicine II - Department of Clinical Medicine, TUM School of Medicine and Health, Technical University of Munich, Munich, Germany.ORCID 0000-0001-7193-2778

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: The universal availability of smartphones has created new opportunities for innovative telemedicine applications in health care. The COVID-19 pandemic has heightened the demand for contactless health care services, making SARS-CoV-2 polymerase chain reaction (PCR) testing a crucial component of pandemic containment. Objective: This feasibility study aimed to examine a comprehensive telemedicine approach for SARS-CoV-2 testing, focusing on the practicality, user satisfaction, and economic implications of self-sampling guided by a telemedicine platform. Methods: The study process involved shipping self-sampling kits, providing instructions for at-home sample collection, processing biomaterials (swabs and capillary blood), communicating test results, and providing interoperable data for clinical routine and research through a medical mobile app. A total of 100 individuals were randomly assigned to either the conventional health care professional (HCP)-performed SARS-CoV-2 testing group (conventional testing group, CG) or the telemedicine-guided SARS-CoV-2 self-sampling approach (telemedicine group, TG). Feasibility of the TG approach, user satisfaction, user-centered outcomes, and economic aspects were assessed and compared between the groups. Results: In the TG group, 47 out of 49 (95%) individuals received a self-sampling kit via mail, and 37out of 49 (76%) individuals successfully returned at least one sample for diagnostics. SARS-CoV-2 PCR tests were conducted in 95% (35/37) of TG cases compared with 88% (44/50) in the CG. Users in the TG reported high satisfaction levels with ease of use (5.2/7), interface satisfaction (5.2/7), and usefulness (4.3/7). A microcosting model indicated a slightly higher cost for the TG approach than the CG approach. The TG demonstrated the potential to facilitate interoperable data transmission by providing anonymized, standardized datasets for extraction using Health Level 7-Fast Healthcare Interoperability Resources. This supports the national COVID-19 Data Exchange Platform and facilitates epidemiological evaluation based on the German COVID Consensus dataset. Conclusions: These preliminary findings suggest that a telemedicine-based approach to SARS-CoV-2 testing is feasible and could be integrated into existing hospital data infrastructures. This model has the potential for broader application in medical care, offering a scalable solution that could improve user satisfaction and treatment quality in the future.

Indexed as

COVID-19Feasibility StudiesTelemedicineAdultAgedFemaleHumansMaleMiddle AgedPatient SatisfactionProspective StudiesSARS-CoV-2Self-TestingSpecimen Handlingacute respiratory syndromeapplicationcoronavirushealth carehealthcareimplementationinnovativeinterventionalmobile phonemonocentricopen-labelpandemic controlprospectiverespiratory syndromeSARS-CoV-2self-samplingtelemedicinetreatmenttwo-arm feasibility studyuseruser satisfaction

Identifiers

PMID39661941
PMCPMC11655044

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.