Evidence map›Paper›PMID 37372911›Full record

ArticleHealthcare (Basel, Switzerland)2023

Informed Consent in COVID-19-Research: An Ethical Analysis of Clinical Studies Performed during the Pandemic.

Katja Voit, Tobias Skuban-Eiseler, Marcin Orzechowski, Florian Steger

Abstract 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 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  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

4 authors.

Katja VoitInstitute of the History, Philosophy and Ethics of Medicine, Ulm University, 89081 Ulm, Germany.
Tobias Skuban-EiselerInstitute of the History, Philosophy and Ethics of Medicine, Ulm University, 89081 Ulm, Germany.ORCID 0000-0002-7754-6904
Marcin OrzechowskiInstitute of the History, Philosophy and Ethics of Medicine, Ulm University, 89081 Ulm, Germany.ORCID 0000-0003-4244-7989
Florian StegerInstitute of the History, Philosophy and Ethics of Medicine, Ulm University, 89081 Ulm, Germany.ORCID 0000-0001-8108-1591

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Health crises such as the current COVID-19 pandemic pose challenges to the conduct of clinical studies. Aspects of research ethics, such as obtaining informed consent (IC), can be complicated. We are concerned with whether or not the proper IC procedures were followed in the context of clinical studies at Ulm University in the years 2020 to 2022. We identified all protocols of clinical studies dealing with COVID-19 that the Research Ethics Committee of Ulm University has reviewed and voted on in the years 2020 to 2022. We then performed a thematic analysis regarding the following aspects: study type, handling of IC, type of patient information, means of communication, applied security precautions, and the approach to participants from vulnerable groups. We identified n = 98 studies that dealt with COVID-19. In n = 25 (25.51%), IC was obtained traditionally in written form, in n = 26 (26.53%) IC was waived, in n = 11 (11.22%) IC was obtained delayed, and in n = 19 (19.39%) IC was obtained by proxy. No study protocol was accepted that waived IC in case IC would have been required in times outside of pandemics. It is possible to obtain IC even in times of severe health crises. In the future, it is necessary to address in greater detail and with legal certainty which alternative methods of obtaining IC are possible and under which circumstances IC can be waived.

Indexed as

clinical studyCOVID-19ethicsinformed consent

Identifiers

PMID37372911
PMCPMC10298309

What OpenQuestion holds

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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.