Evidence map›Paper›PMID 16854229›Full record

SynthesisBMC medical research methodology2006

Increasing recruitment to randomised trials: a review of randomised controlled trials.

Judith M Watson, David J Torgerson

Abstract readSystematic Review
In one paragraph

Synthesis in BMC medical research methodology, 2006. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 175 papers, 9 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
175citing papers in PubMed, 9 pooled it
–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

175 citing papers in PubMed, 9 syntheses or guidelines pooled it.

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  6. Strategies to improve recruitment to randomised trials.The Cochrane database of systematic reviews · 2018
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  8. Strategies to recruit minority persons: a systematic review.Journal of immigrant and minority health · 2014
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115 more citing papers are in PubMed but not listed here.

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

2 authors.

Judith M WatsonYork Trials Unit, Department of Health Sciences, University of York, York, YO10 5DD, UK. jmw19@york.ac.uk
David J Torgerson

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundPoor recruitment to randomised controlled trials (RCTs) is a widespread and important problem. With poor recruitment being such an important issue with respect to the conduct of randomised trials, a systematic review of controlled trials on recruitment methods was undertaken in order to identify strategies that are effective.

methodsWe searched the register of trials in Cochrane library from 1996 to end of 2004. We also searched Web of Science for 2004. Additional trials were identified from personal knowledge. Included studies had to use random allocation and participants had to be allocated to different methods of recruitment to a 'real' randomised trial. Trials that randomised participants to 'mock' trials and trials of recruitment to non-randomised studies (e.g., case control studies) were excluded. Information on the study design, intervention and control, and number of patients recruited was extracted by the 2 authors.

resultsWe identified 14 papers describing 20 different interventions. Effective interventions included: telephone reminders; questionnaire inclusion; monetary incentives; using an 'open' rather than placebo design; and making trial materials culturally sensitive.

conclusionFew trials have been undertaken to test interventions to improve trial recruitment. There is an urgent need for more RCTs of recruitment strategies.

Indexed as

Patient SelectionCultureHumansRandomized Controlled Trials as TopicRegistriesResearch Subjects

Identifiers

PMID16854229
PMCPMC1559709

What OpenQuestion holds

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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.