Evidence map›Paper›PMID 37131255›Full record

ArticleTrials2023

Informed consent in randomised controlled trials: further development and evaluation of the participatory and informed consent (PIC) measure.

Julia Wade, Elka Humphrys, Alba X Realpe, Daisy M Gaunt, Jenni Burt, OPTiMISE study group and the QuinteT research group

Open access · goldAbstract read
In one paragraph

Article in Trials, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed, 1 pooled it
1.2field-weighted citation impact, top 22% 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, 1 synthesis or guideline pooled it, 4 citations in OpenAlex.

  1. Pooled it
  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

6 authors at 4 institutions in 1 country.

Julia WadeBristol Medical School, University of Bristol, 39 Whatley Road, Clifton, Bristol BS8 2PS, UK. julia.wade@bristol.ac.uk.ORCID http://orcid.org/0000-0001-6486-6477
Elka HumphrysTHIS Institute (The Healthcare Improvement Studies Institute), University of Cambridge, Strangeways Research Laboratory, Cambridge, CB1 8RN, UK.
Alba X RealpeBristol Medical School, University of Bristol, 39 Whatley Road, Clifton, Bristol BS8 2PS, UK.
Daisy M GauntBristol Medical School, University of Bristol, 39 Whatley Road, Clifton, Bristol BS8 2PS, UK.
Jenni BurtTHIS Institute (The Healthcare Improvement Studies Institute), University of Cambridge, Strangeways Research Laboratory, Cambridge, CB1 8RN, UK.
OPTiMISE study group and the QuinteT research group
University of Cambridge · GBAt Bristol · GBUniversity Hospitals Bristol NHS Foundation Trust · GBUniversity of Bristol · GB

Funding

Medical Research Council MR/K025643/1
6 · The paper itself

Abstract

backgroundInformed consent is an accepted ethical and legal prerequisite for trial participation, yet there is no standardised method of assessing patient understanding for informed consent. The participatory and informed consent (PIC) measure was developed for application to recruitment discussions to evaluate recruiter information provision and evidence of patient understanding. Preliminary evaluation of the PIC indicated the need to improve inter-rater and intra-rater reliability ratings and conduct further psychometric evaluation. This paper describes the assessment, revision and evaluation of the PIC within the context of OPTiMISE, a pragmatic primary care-based trial.

methodsThis study used multiple methods across two phases. In phase one, one researcher applied the existing PIC measure to 18 audio-recorded recruitment discussions from the OPTiMISE study and made detailed observational notes about any uncertainties in application. Appointments were sampled to be maximally diverse for patient gender, study centre, recruiter and before and after an intervention to optimise information provision. Application uncertainties were reviewed by the study team, revisions made and a coding manual developed and agreed. In phase two, the coding manual was used to develop tailored guidelines for applying the PIC to appointments within the OPTiMISE trial. Two researchers then assessed 27 further appointments, purposively sampled as above, to evaluate inter-rater and intra-rater reliability, content validity and feasibility.

resultsApplication of the PIC to 18 audio-recorded OPTiMISE recruitment discussions resulted in harmonisation of the scales rating recruiter information provision and evidence of patient understanding, minor amendments to clarify wording and the development of detailed generic coding guidelines for applying the measure within any trial. Application of the revised measure using these guidelines to 27 further recruitment discussions showed good feasibility (time to complete), content validity (completion rate) and reliability (inter- and intra-rater) of the measure.

conclusionThe PIC provides a means to evaluate the content of information provided by recruiters, patient participation in recruitment discussions and, to some extent, evidence of patient understanding. Future work will use the measure to evaluate recruiter information provision and evidence of patient understanding both across and within trials.

Indexed as

Informed ConsentPatient ParticipationHumansPatient SelectionRandomized Controlled Trials as TopicReproducibility of ResultsResearch PersonnelCommunicationInformed consentRecruitment

Identifiers

PMID37131255
PMCPMC10155434
OpenAlexW4367834599

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.