Evidence map›Paper›PMID 37444775›Full record

ArticleHealthcare (Basel, Switzerland)2023

Digital Online Patient Informed Consent for Anesthesia before Elective Surgery-Recent Practice in Europe.

Claudia Neumann, Nadine Straßberger-Nerschbach, Achilles Delis, Johannes Kamp, Alexandra Görtzen-Patin, Dishalen Cudian, Andreas Fleischer, Götz Wietasch, Mark Coburn, Ehrenfried Schindler and 2 more

Open access · goldAbstract read
In one paragraph

Article in Healthcare (Basel, Switzerland), 2023. 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
0.2field-weighted citation impact, top 43% 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

1 citing paper in PubMed, 1 citations in OpenAlex.

  1. 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

12 authors at 3 institutions in 2 countries.

Claudia NeumannDepartment of Anesthesiology and Intensive Care Medicine, University Hospital, 53127 Bonn, Germany.ORCID 0000-0002-5593-2871
Nadine Straßberger-NerschbachDepartment of Anesthesiology and Intensive Care Medicine, University Hospital, 53127 Bonn, Germany.ORCID 0000-0001-5841-4001
Achilles DelisDepartment of Anesthesiology and Intensive Care Medicine, University Hospital, 53127 Bonn, Germany.
Johannes KampDepartment of Anesthesiology and Intensive Care Medicine, University Hospital, 53127 Bonn, Germany.
Alexandra Görtzen-PatinDepartment of Anesthesiology and Intensive Care Medicine, University Hospital, 53127 Bonn, Germany.
Dishalen CudianDepartment of Anesthesiology and Intensive Care Medicine, University Hospital, 53127 Bonn, Germany.ORCID 0000-0003-3347-9858
Andreas FleischerDepartment of Anesthesiology and Intensive Care Medicine, Hospital Vest, 45657 Recklinghausen, Germany.
Götz WietaschDepartment of Anesthesiology, University of Groningen, University Medical Center Groningen, 9713 GZ Groningen, The Netherlands.ORCID 0000-0001-8001-5648
Mark CoburnDepartment of Anesthesiology and Intensive Care Medicine, University Hospital, 53127 Bonn, Germany.
Ehrenfried SchindlerDepartment of Anesthesiology and Intensive Care Medicine, University Hospital, 53127 Bonn, Germany.ORCID 0000-0002-2377-3327
Grigorij SchleiferDepartment of Anesthesiology and Intensive Care Medicine, University Hospital, 53127 Bonn, Germany.
Maria WittmannDepartment of Anesthesiology and Intensive Care Medicine, University Hospital, 53127 Bonn, Germany.ORCID 0000-0003-4786-7712
University Hospital Bonn · DEKlinikum Vest · DEUniversity Medical Center Groningen · NL

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundDigitalization in the health system is a topic that is rapidly gaining popularity, and not only because of the current pandemic. As in many areas of daily life, digitalization is becoming increasingly important in the medical field amid the exponential rise in the use of computers and smartphones. This opens up new possibilities for optimizing patient education in the context of anesthesia. The main aim of this study was to assess the implementation of remote consent in Europe.

methodsAn online survey entitled "Digital online Patient Informed Consent for Anesthesia before Elective Surgery. Recent practice in Europe," with a total of 27 questions, was sent by the European Society of Anesthesiology and Intensive Care (ESAIC) to their members in 47 European countries. To assess the effect of the economy on digitalization and legal status with regard to anesthesia consent, data were stratified based on gross domestic product per capita (GDPPC).

resultsIn total, 23.1% and 37.2% of the 930 participants indicated that it was possible to obtain consent online or via telephone, respectively. This observation was more often reported in countries with high GDPPC levels than in countries with low GDPPC levels. Furthermore, 27.3% of the responses for simple anesthesia, 18.7% of the responses for complex anesthesia, and 32.2% of the responses for repeated anesthesia indicated that remote consent was in accordance with the law, and this was especially prevalent in countries with high GDPPC. Concerning the timing of consent, patients were informed at least one day before in 67.1% of cases for simple procedures and in 85.2% of cases for complex procedures.

conclusionEven European countries with high GDPPC use remote informed consent only in a minority of cases, and most of the time for repeated anesthetic procedures. This might reflect the inconsistent legal situation and inhomogeneous medical technical structures across Europe.

Indexed as

European practicelegal basispatient communicationremote informed consenttelemedicine

Identifiers

PMID37444775
PMCPMC10340391
OpenAlexW4383344973

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.