Evidence map›Paper›PMID 34803022›Full record

ArticleJMIR formative research2022

A Telemedicine-Guided Self-Collection Approach for PCR-Based SARS-CoV-2 Testing: Comparative Study.

Silvia Würstle, Johanna Erber, Michael Hanselmann, Dieter Hoffmann, Stanislas Werfel, Svenja Hering, Simon Weidlich, Jochen Schneider, Ralf Franke, Michael Maier and 5 more

Open access · goldAbstract read
In one paragraph

Article in JMIR formative research, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
0.1field-weighted citation impact, top 49% 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

2 citing papers in PubMed, 2 citations in OpenAlex.

  1. Trial
  2. Article
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

15 authors at 4 institutions in 1 country.

Silvia Würstle *Department of Internal Medicine II, School of Medicine, University Hospital rechts der Isar, Technical University of Munich, Munich, Germany.ORCID https://orcid.org/0000-0003-0787-3894
Johanna Erber *Department of Internal Medicine II, School of Medicine, University Hospital rechts der Isar, Technical University of Munich, Munich, Germany.ORCID https://orcid.org/0000-0001-6614-6051
Michael HanselmannDepartment for Sport and Health Sciences, Professorship of Public Health and Prevention, Technical University of Munich, Munich, Germany.ORCID https://orcid.org/0000-0001-8393-6397
Dieter HoffmannSchool of Medicine / Helmholtz Zentrum München, Institute of Virology, Technical University of Munich, Munich, Germany.ORCID https://orcid.org/0000-0003-3566-3341
Stanislas WerfelDepartment of Nephrology, School of Medicine, University Hospital rechts der Isar, Technical University of Munich, Munich, Germany.ORCID https://orcid.org/0000-0001-9130-0057
Svenja HeringSchool of Medicine / Helmholtz Zentrum München, Institute of Virology, Technical University of Munich, Munich, Germany.ORCID https://orcid.org/0000-0002-5725-9959
Simon WeidlichDepartment of Internal Medicine II, School of Medicine, University Hospital rechts der Isar, Technical University of Munich, Munich, Germany.ORCID https://orcid.org/0000-0001-7193-2778
Jochen SchneiderDepartment of Internal Medicine II, School of Medicine, University Hospital rechts der Isar, Technical University of Munich, Munich, Germany.ORCID https://orcid.org/0000-0002-0300-0159
Ralf FrankeSiemens AG, Munich, Germany.ORCID https://orcid.org/0000-0001-9779-1416
Michael MaierSiemens AG, Munich, Germany.ORCID https://orcid.org/0000-0001-7475-9018
Andreas G HenkelDepartment of Information Technology, School of Medicine, University Hospital rechts der Isar, Technical University of Munich, Munich, Germany.ORCID https://orcid.org/0000-0001-8466-2893
Roland M SchmidDepartment of Internal Medicine II, School of Medicine, University Hospital rechts der Isar, Technical University of Munich, Munich, Germany.ORCID https://orcid.org/0000-0002-6945-7581
Ulrike ProtzerSchool of Medicine / Helmholtz Zentrum München, Institute of Virology, Technical University of Munich, Munich, Germany.ORCID https://orcid.org/0000-0002-9421-1911
Michael Laxy *Department for Sport and Health Sciences, Professorship of Public Health and Prevention, Technical University of Munich, Munich, Germany.ORCID https://orcid.org/0000-0001-8775-7417
Christoph D Spinner *Department of Internal Medicine II, School of Medicine, University Hospital rechts der Isar, Technical University of Munich, Munich, Germany.ORCID https://orcid.org/0000-0002-3875-5367
TUM Klinikum · DEHelmholtz Zentrum München · DESiemens (Germany) · DETechnical University of Munich · DE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundLarge-scale, polymerase chain reaction (PCR)-based SARS-CoV-2 testing is expensive, resource intensive, and time consuming. A self-collection approach is a probable alternative; however, its feasibility, cost, and ability to prevent infections need to be evaluated.

objectiveThis study aims to compare an innovative self-collection approach with a regular SARS-CoV-2 testing strategy in a large European industrial manufacturing site.

methodsThe feasibility of a telemedicine-guided PCR-based self-collection approach was assessed for 150 employees (intervention group) and compared with a regular SARS-CoV-2 testing approach used for 143 employees (control group). Acceptance, ergonomics, and efficacy were evaluated using a software application. A simulation model was implemented to evaluate the effectiveness. An interactive R shiny app was created to enable customized simulations.

resultsThe test results were successfully communicated to and interpreted without uncertainty by 76% (114/150) and 76.9% (110/143) of the participants in the intervention and control groups, respectively (P=.96). The ratings for acceptability, ergonomics, and efficacy among intervention group participants were noninferior when compared to those among control group participants (acceptability: 71.6% vs 37.6%; ergonomics: 88.1% vs 74.5%; efficacy: 86.4% vs 77.5%). The self-collection approach was found to be less time consuming (23 min vs 38 min; P<.001). The simulation model indicated that both testing approaches reduce the risk of infection, and the self-collection approach tends to be slightly less effective owing to its lower sensitivity.

conclusionsThe self-collection approach for SARS-CoV-2 diagnosis was found to be technically feasible and well rated in terms of acceptance, ergonomics, and efficacy. The simulation model facilitates the evaluation of test effectiveness; nonetheless, considering context specificity, appropriate adaptation by companies is required.

Indexed as

COVID-19SARS-CoV-2self-samplingsimulation modeltelemedicinetest strategy effectiveness

Identifiers

PMID34803022
PMCPMC8729873
OpenAlexW3214913847

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.