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Using a business model approach and marketing techniques for recruitment to clinical trials

Overview of attention for article published in Trials, March 2011
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • Good Attention Score compared to outputs of the same age (71st percentile)
  • Above-average Attention Score compared to outputs of the same age and source (54th percentile)

Mentioned by

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11 X users

Citations

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53 Dimensions

Readers on

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115 Mendeley
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4 CiteULike
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Title
Using a business model approach and marketing techniques for recruitment to clinical trials
Published in
Trials, March 2011
DOI 10.1186/1745-6215-12-74
Pubmed ID
Authors

Alison M McDonald, Shaun Treweek, Haleema Shakur, Caroline Free, Rosemary Knight, Chris Speed, Marion K Campbell

Abstract

Randomised controlled trials (RCTs) are generally regarded as the gold standard for evaluating health care interventions. The level of uncertainty around a trial's estimate of effect is, however, frequently linked to how successful the trial has been in recruiting and retaining participants. As recruitment is often slower or more difficult than expected, with many trials failing to reach their target sample size within the timescale and funding originally envisaged, the results are often less reliable than they could have been. The high number of trials that require an extension to the recruitment period in order to reach the required sample size potentially delays the introduction of more effective therapies into routine clinical practice. Moreover, it may result in less research being undertaken as resources are redirected to extending existing trials rather than funding additional studies.Poor recruitment to publicly-funded RCTs has been much debated but there remains remarkably little clear evidence as to why many trials fail to recruit well, which recruitment methods work, in which populations and settings and for what type of intervention. One proposed solution to improving recruitment and retention is to adopt methodology from the business world to inform and structure trial management techniques.We review what is known about interventions to improve recruitment to trials. We describe a proposed business approach to trials and discuss the implementation of using a business model, using insights gained from three case studies.

X Demographics

X Demographics

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 115 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United Kingdom 2 2%
Sweden 1 <1%
Australia 1 <1%
Unknown 111 97%

Demographic breakdown

Readers by professional status Count As %
Researcher 22 19%
Student > Master 18 16%
Student > Ph. D. Student 17 15%
Student > Bachelor 11 10%
Student > Postgraduate 8 7%
Other 21 18%
Unknown 18 16%
Readers by discipline Count As %
Medicine and Dentistry 39 34%
Business, Management and Accounting 18 16%
Nursing and Health Professions 6 5%
Agricultural and Biological Sciences 6 5%
Psychology 6 5%
Other 18 16%
Unknown 22 19%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 6. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 07 December 2018.
All research outputs
#6,428,873
of 25,986,827 outputs
Outputs from Trials
#10
of 45 outputs
Outputs of similar age
#34,231
of 120,909 outputs
Outputs of similar age from Trials
#5
of 11 outputs
Altmetric has tracked 25,986,827 research outputs across all sources so far. Compared to these this one has done well and is in the 75th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 45 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.1. This one scored the same or higher as 35 of them.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 120,909 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 71% of its contemporaries.
We're also able to compare this research output to 11 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 54% of its contemporaries.