Evidence map›Paper›PMID 38890748›Full record

ArticleTrials2024

Trial participants' self-reported understanding of randomisation phrases in participation information leaflets can be high, but acceptability of some descriptions is low, especially those linked to gambling and luck.

Frances Shiely, Ellen Murphy, Katie Gilles, Kerry Hood, Lydia O'Sullivan, Nicola Harman, Talia Isaacs, Shaun Treweek

Abstract read
In one paragraph

Article in Trials, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing 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

6 citing papers in PubMed.

  1. Trial
  2. Article
  3. Article
  4. Article
  5. Article
  6. Can the Development of Orphan Drugs Include Wider Patient Engagement? A Citizens' Jury to Explore a Promissory Notion.Health expectations : an international journal of public participation in health care and health policy · 2025
    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

8 authors.

Frances ShielyTRAMS (Trials Research and Methodologies Unit), HRB Clinical Research Facility, University College Cork, Cork, Ireland. f.shiely@ucc.ie.ORCID http://orcid.org/0000-0003-0969-8321
Ellen MurphyTRAMS (Trials Research and Methodologies Unit), HRB Clinical Research Facility, University College Cork, Cork, Ireland.
Katie GillesHealth Services Research Unit, University of Aberdeen, Aberdeen, UK.
Kerry HoodCentre for Trials Research, Cardiff University, Cardiff, UK.
Lydia O'SullivanHealth Research Board Trial Methodology Research Network (HRB TMRN), University College Cork, Cork, Ireland.
Nicola HarmanDepartment of Health Data Science, University of Liverpool, Liverpool, UK.
Talia IsaacsIOE, Faculty of Education and Society, University College London, London, UK.
Shaun TreweekHealth Services Research Unit, University of Aberdeen, Aberdeen, UK.

Funding

Health Research Board HRB-TMRN-2017-001.
6 · The paper itself

Abstract

backgroundEvidence indicates that trial participants often struggle to understand participant information leaflets (PILs) for clinical trials, including the concept of randomisation. We analysed the language used to describe randomisation in PILs and determine the most understandable and acceptable description through public and participant feedback.

methodsWe collected 280 PILs/informed consent forms and one video animation from clinical research facilities/clinical trial units in Ireland and the UK. We extracted text on how randomisation was described, plus trial characteristics. We conducted content analysis to group the randomisation phrases inductively. We then excluded phrases that appeared more than once or were very similar to others. The final list of randomisation phrases was then presented to an online panel of participants and the public. Panel members were asked to rate each phrase on a 5-point Likert scale in terms of their understanding of the phrase, confidence in their understanding and acceptability of the phrase.

resultsTwo hundred and eighty PILs and the transcribed text from one video animation represented 229 ongoing or concluded trials. The pragmatic content analysis generated five inductive categories: (1) explanation of why randomisation is required in trials; (2) synonyms for randomisation; (3) comparative randomisation phrases; (4) elaborative phrases for randomisation (5) and phrases that describe the process of randomisation. We had 48 unique phrases, which were shared with 73 participants and members of the public. Phrases that were well understood were not necessarily acceptable. Participants understood, but disliked, comparative phrases that referenced gambling, e.g. toss of a coin, like a lottery, roll of a die. They also disliked phrases that attributed decision-making to computers or automated systems. Participants liked plain language descriptions of what randomisation is and those that did not use comparative phrases.

conclusionsPotential trial participants are clear on their likes and dislikes when it comes to describing randomisation in PILs. We make five recommendations for practice.

Indexed as

ComprehensionGamblingPamphletsPatient Education as TopicResearch SubjectsAdultClinical Trials as TopicFemaleHealth Knowledge, Attitudes, PracticeHealth LiteracyHumansInformed ConsentIrelandMaleMiddle AgedRandomized Controlled Trials as TopicInformed consentParticipant information leafletsRandomisationRandomised controlled trialTrials methodology

Identifiers

PMID38890748
PMCPMC11186130

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.