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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 (72nd percentile)
  • Good Attention Score compared to outputs of the same age and source (65th percentile)

Mentioned by

twitter
11 tweeters

Citations

dimensions_citation
47 Dimensions

Readers on

mendeley
110 Mendeley
citeulike
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.

Twitter Demographics

The data shown below were collected from the profiles of 11 tweeters who shared this research output. Click here to find out more about how the information was compiled.

Mendeley readers

The data shown below were compiled from readership statistics for 110 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 106 96%

Demographic breakdown

Readers by professional status Count As %
Researcher 22 20%
Student > Master 17 15%
Student > Ph. D. Student 16 15%
Student > Bachelor 10 9%
Student > Postgraduate 7 6%
Other 23 21%
Unknown 15 14%
Readers by discipline Count As %
Medicine and Dentistry 39 35%
Business, Management and Accounting 17 15%
Nursing and Health Professions 6 5%
Agricultural and Biological Sciences 6 5%
Psychology 6 5%
Other 17 15%
Unknown 19 17%

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
#5,409,561
of 22,771,140 outputs
Outputs from Trials
#1,841
of 5,859 outputs
Outputs of similar age
#29,610
of 108,156 outputs
Outputs of similar age from Trials
#12
of 35 outputs
Altmetric has tracked 22,771,140 research outputs across all sources so far. Compared to these this one has done well and is in the 76th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 5,859 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 8.3. This one has gotten more attention than average, scoring higher than 68% of its peers.
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 108,156 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 72% of its contemporaries.
We're also able to compare this research output to 35 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 65% of its contemporaries.