Title |
Using marketing theory to inform strategies for recruitment: a recruitment optimisation model and the txt2stop experience
|
---|---|
Published in |
Trials, May 2014
|
DOI | 10.1186/1745-6215-15-182 |
Pubmed ID | |
Authors |
Leandro Galli, Rosemary Knight, Steven Robertson, Elizabeth Hoile, Olubukola Oladapo, David Francis, Caroline Free |
Abstract |
Recruitment is a major challenge for many trials; just over half reach their targets and almost a third resort to grant extensions. The economic and societal implications of this shortcoming are significant. Yet, we have a limited understanding of the processes that increase the probability that recruitment targets will be achieved. Accordingly, there is an urgent need to bring analytical rigour to the task of improving recruitment, thereby increasing the likelihood that trials reach their recruitment targets. This paper presents a conceptual framework that can be used to improve recruitment to clinical trials. |
X Demographics
Geographical breakdown
Country | Count | As % |
---|---|---|
United Kingdom | 4 | 67% |
United States | 1 | 17% |
Unknown | 1 | 17% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Scientists | 3 | 50% |
Practitioners (doctors, other healthcare professionals) | 2 | 33% |
Members of the public | 1 | 17% |
Mendeley readers
Geographical breakdown
Country | Count | As % |
---|---|---|
Spain | 1 | 1% |
Unknown | 81 | 99% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Master | 14 | 17% |
Researcher | 14 | 17% |
Student > Bachelor | 10 | 12% |
Student > Ph. D. Student | 8 | 10% |
Student > Doctoral Student | 5 | 6% |
Other | 14 | 17% |
Unknown | 17 | 21% |
Readers by discipline | Count | As % |
---|---|---|
Medicine and Dentistry | 17 | 21% |
Business, Management and Accounting | 10 | 12% |
Social Sciences | 7 | 9% |
Psychology | 6 | 7% |
Nursing and Health Professions | 5 | 6% |
Other | 20 | 24% |
Unknown | 17 | 21% |