Evidence map›Paper›PMID 38233932›Full record

ArticlePilot and feasibility studies2024

Participant comprehension and acceptability of enhanced versus text-only electronic informed consent: an innovative qualitative pilot study.

Amy Corneli, Summer Starling, Yujung Choi, Jurgis Vosylius, Leanne Madre, Andrew Mackinnon, Pamela Tenaerts

Abstract read
In one paragraph

Article in Pilot and feasibility studies, 2024. 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

7 authors.

Amy CorneliDepartment of Population Health Sciences, Duke University School of Medicine, 215 Morris St, Durham, NC, 27701, USA. amy.corneli@duke.edu.ORCID http://orcid.org/0000-0002-4629-4329
Summer StarlingDepartment of Population Health Sciences, Duke University School of Medicine, 215 Morris St, Durham, NC, 27701, USA.
Yujung ChoiDepartment of Population Health Sciences, Duke University School of Medicine, 215 Morris St, Durham, NC, 27701, USA.
Jurgis Vosylius, Medable, Palo Alto, CA, USA.
Leanne Madre, Medable, Palo Alto, CA, USA.
Andrew Mackinnon, Medable, Palo Alto, CA, USA.
Pamela Tenaerts, Medable, Palo Alto, CA, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe use of electronic informed consent (eIC) in decentralized trials offers a pragmatic approach to enrolling participants across multiple geographic areas.

methodsUsing a randomized, cross-over study design, we conducted a qualitative descriptive evaluation of two eIC approaches-text-only eIC and enhanced eIC-in a mock hypertension Phase III clinical trial. We assessed participant comprehension and acceptability (usability, satisfaction, and eIC preference).

resultsA total of 24 individuals with hypertension participated in the study: 12 reviewed the text-only eIC first, followed by the enhanced eIC, and 12 reviewed the enhanced eIC first, followed by the text-only eIC. The study population was diverse in gender, age, race, and geographic location. We found no descriptive differences in participant comprehension and satisfaction between the two eIC approaches. However, more participants preferred the enhanced eIC, and participants indicated that the digital elements were personable and made them feel more informed, engaged, comfortable, and prepared to participate in clinical research.

conclusionsOur findings suggest that enhancing the eIC process with digital elements may have beneficial outcomes among potential participants beyond comprehension and satisfaction.

Indexed as

AcceptabilityComprehensioneICElectronic consentSatisfactionUsability

Identifiers

PMID38233932
PMCPMC10792918

What OpenQuestion holds

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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.