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Equipoise across the patient population: optimising recruitment to a randomised controlled trial

Overview of attention for article published in Trials, March 2017
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Title
Equipoise across the patient population: optimising recruitment to a randomised controlled trial
Published in
Trials, March 2017
DOI 10.1186/s13063-016-1711-8
Pubmed ID
Authors

Paul Whybrow, Robert Pickard, Susan Hrisos, Tim Rapley

Abstract

This paper proposes a novel perspective on the value of qualitative research for improving trial design and optimising recruitment. We report findings from a qualitative study set within the OPEN trial, a surgical randomised controlled trial (RCT) comparing two interventions for recurrent bulbar urethral stricture, a common cause of urinary problems in men. Interviews were conducted with men meeting trial eligibility criteria (n = 19) to explore reasons for accepting or declining participation and with operating urologists (n = 15) to explore trial acceptability. Patients expressed various preferences and understood these in the context of relative severity and tolerability of their symptoms. Accounts suggest a common trajectory of worsening symptoms with a particular window within which either treatment arm would be considered acceptable. Interviews with clinician recruiters found that uncertainty varied between general and specialist sites, which reflect clinicians' relative exposure to different proportions of the patient population. Recruitment post referral, at specialist sites, was challenging due to patient (and clinician) expectations. Trial design, particularly where there are fixed points for recruitment along the care pathway, can enable or constrain the possibilities for effective accrual depending on how it aligns with the optimum point of patient equipoise. Qualitative recruitment investigations, often focussed on information provision and patient engagement, may also look to better understand the target patient population in order to optimise the point at which patients are approached. ISRCTN Registry, ISRCTN98009168 . Registered on 29 November 2012.

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Geographical breakdown

Country Count As %
Unknown 47 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 10 21%
Researcher 6 13%
Student > Bachelor 3 6%
Lecturer 3 6%
Student > Doctoral Student 2 4%
Other 7 15%
Unknown 16 34%
Readers by discipline Count As %
Medicine and Dentistry 12 26%
Nursing and Health Professions 9 19%
Social Sciences 2 4%
Business, Management and Accounting 1 2%
Pharmacology, Toxicology and Pharmaceutical Science 1 2%
Other 4 9%
Unknown 18 38%