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1.

Introduction

Clinical policy and practice recommend the use of current

best evidence to guide decisions about patient care, which is

essential for providing high-quality healthcare

[1]

. Random-

ised controlled trials (RCTs) are recognised as the most

effective methodology for the evaluation of the effective-

ness and safety of healthcare interventions

[2]

, especially

when brought together in systematic reviews

[3] .

However,

the lack of high-quality evidence to support clinical decision

making means that many fundamental questions in

medicine—including in the management of urological

patients—remain unanswered. Guidelines are often based

on expert opinion or weak evidence

[4] ,

and new trials are

therefore required to tackle many major questions in

urology. Studies such as the Prostate Cancer Intervention

Versus Observation Trial

[5]

and the Prostate Testing for

Cancer and Treatment trial (ProtecT) study

[6,7]

demon-

strate that urological RCTs can be undertaken successfully.

However, less than a third of trials achieve their original

recruitment target

[8]

.

Reviews have reported that successful RCT recruitment

is associated with a number of factors, including addressing

clinically important questions at a timely point, employing

dedicated research staff, ensuring that staff are trained

about trial processes and interventions, and having

straightforward data collection

[9,10] .

In addition,

effective strategies to improve recruitment include tele-

phone reminders, financial incentives, open-trial designs

where participants know which treatment they are receiv-

ing in the trial, and use of opt-out rather than opt-in

procedures

[3] .

However, Bower and colleagues

[11]

highlighted that there was also a need to develop effective

interventions aimed at those recruiting to trials. Although

patient information leaflets are strictly regulated by ethics

committees, the communication style of the recruiter

(usually a clinician or nurse) plays an important role in

patients’ understanding of the information and their

willingness to join the study

[12]

. Research has shown

that information conveyed during recruitment appoint-

ments varies considerably in content and quality

[13]

, and

patients often have a poor understanding of RCT concepts

[14–17] .

A systematic review of interventions to improve

the recruitment activity of clinicians reported that the most

promising interventions were studies that used qualitative

research to identify key issues and develop interventions to

improve recruitment

[18]

. This focused review provides

an introduction to qualitative research techniques and

summarises how this approach can be used to understand—

and subsequently improve—recruitment to RCTs.

1.1.

Qualitative research

Qualitative research is an umbrella term used for a range of

methodologies used to generate rich accounts of how

people make sense of the world and how they experience

events

[19]

. Whereas quantitative research focuses on ‘‘how

many’’ and ‘‘how much’’, qualitative research seeks to

answer

[1_TD$DIFF]

‘‘how’’ and ‘‘why’’ questions

[20]

. Data are primarily

gathered from interviews, focus groups, and observations

intensively in small numbers to facilitate understanding.

Data collection and analysis are iterative processes that

continue until saturation is reached (ie, the point at which

no new themes emerge)

[21] .

2.

Evidence acquisition

This

[8_TD$DIFF]

article does not intend to provide a systematic review

of the current literature, but instead highlights ways in

which qualitative methods can be used to understand

recruitment to RCTs

.

A search of Medline, Embase, and

CINAHL was undertaken in October 2016 using a combina-

tion of the following keywords

qualitative

,

recruit*

,

consent

,

RCT

,

trial*

, and

random*

. Titles and abstracts were reviewed

to assess relevance. Studies with a qualitative methodology

that focused on recruitment or informed consent in any RCT

were included. As this article focuses on the recruitment

activity of healthcare professionals, studies focusing solely

on patient experiences of RCTs were not included (studies

that included perspectives of both patients and recruiters

were included, with only the latter reported in the

synthesis). All types of healthcare professionals (ie,

clinicians and nurses) were included. Only articles in

English were reviewed. Studies in paediatric trials were

excluded. No studies were excluded by quality. Reference

lists of the retrieved articles were also examined for

additional relevant articles, and newly published studies

that were identified as relevant whilst the reviewwas being

prepared were included.

The first and senior author discussed which papers

should be included in the review until agreement was

achieved and, in total, 35 articles were selected. Quality

was assessed using the Critical Appraisal Skills Programme

checklist

[22]

by two reviewers (D.E. and S.H.). Individual

assessments were compared and any areas of discrepancy

were resolved by discussion.

Figure 1

presents each step of

the literature search and selection process of articles, and

the full search strategy is available (see Supplementary

material).

3.

Evidence synthesis

3.1.

Summary of included papers

Thirty-five qualitative studies

[13,23–56]

were included in

the review. Many studies (23/35) explored recruitment

issues within the context of a single RCT

[13,23–25,30– 33,36–40,42,44,46–48,51–54,56] ,

whilst eight provided a

synthesis of results from multiple RCTs

[26–28,41,45,49, 50,55] .

Four studies sampled healthcare professionals who

recruited to RCTs generally, rather than a specific trial

[29,34,35,43] .

Overall, the quality of these studies was good

(see Supplementary

[9_TD$DIFF]

material), although common method-

ological issues revolved around whether data analysis was

sufficiently rigorous (it was sometimes not clear if

saturation was achieved or if multiple researchers had

analysed data to enhance reliability of the findings

[3_TD$DIFF]

).

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