Evidence map›Paper›PMID 12373599›Full record

ArticleBritish journal of cancer2002

Describing randomisation: patients' and the public's preferences compared with clinicians' practice.

V Jenkins, L Leach, L Fallowfield, K Nicholls, A Newsham

Abstract readComparative Study
In one paragraph

Article in British journal of cancer, 2002. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 23 papers.

0numbers the graph read from it
0cells of the map it votes in
23citing 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

23 citing papers in PubMed.

  1. Trial
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  11. Observational
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  18. Recommendations for enhancing clinical trials education: a review of the literature.Journal of cancer education : the official journal of the American Association for Cancer Education · 2011
    Review
  19. Article
  20. 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

5 authors.

V JenkinsCancer Research (UK) Psychosocial Oncology Group, Brighton & Susssex Medical School, University of Sussex, Falmer, Sussex BN1 9QG, UK. V.Jenkins@biols.susx.ac.uk
L Leach
L Fallowfield
K Nicholls
A Newsham

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Explaining the concept of randomisation in simple terms to patients during the discussion of randomised clinical trials can be a difficult task for many health care professionals. We report the results of a questionnaire-based survey, using seven descriptions of randomisation taken from Corbett's study. We examined the preferences of the general public and patients towards the descriptions and compared the results with the clinicians' choice. Participants in the survey were 341 lay people without cancer, 200 patients with cancer and 200 oncologists from cancer centres throughout the UK. It was difficult to identify 'the best' way to describe the process of randomisation. The two most favoured statements for patients and members of the public included a very explicit statement that mentioned 'a computer', 'chance' and 'not the doctor's or patient's decision' and a succinct statement that played down the role of 'chance'. Clinicians chose neither of these statements as closely resembling their own practice. Patients and members of the public most disliked the statement 'a computer will perform the equivalent of tossing a coin to allocate you to one of two methods of treatment'. This analogy used by 26% of oncologists, was viewed as trivialising and upsetting in the context of determining treatment for life threatening disease.

Indexed as

Patient SatisfactionPractice Patterns, Physicians'Public OpinionFemaleHumansInformed ConsentMaleMiddle AgedNeoplasmsPatient ParticipationPatient SelectionRandom AllocationRandomized Controlled Trials as TopicSurveys and Questionnaires

Identifiers

PMID12373599
PMCPMC2376175

What OpenQuestion holds

Textmetadata
LicenceCC BY
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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.