Literature DB >> 18397843

Recruitment to publicly funded trials--are surgical trials really different?

Jonathan A Cook1, Craig R Ramsay, John Norrie.   

Abstract

BACKGROUND: Good recruitment is integral to the conduct of a high-quality randomised controlled trial. It has been suggested that recruitment is particularly difficult for evaluations of surgical interventions, a field in which there is a dearth of evidence from randomised comparisons. While there is anecdotal speculation to support the inference that recruitment to surgical trials is more challenging than for medical trials we are unaware of any formal assessment of this. In this paper, we compare recruitment to surgical and medical trials using a cohort of publicly funded trials. DATA: Overall recruitment to trials was assessed using of a cohort of publicly funded trials (n=114). Comparisons were made by using the Recruitment Index, a simple measure of recruitment activity for multicentre randomised controlled trials. Recruitment at the centre level was also investigated through three example surgical trials.
RESULTS: The Recruitment Index was found to be higher, though not statistically significantly, in the surgical group (n=18, median=38.0 IQR (10.7, 77.4)) versus (n=81, median=34.8 IQR (11.7, 98.0)) days per recruit for the medical group (median difference 1.7 (-19.2, 25.1); p=0.828). For the trials where the comparison was between a surgical and a medical intervention, the Recruitment Index was substantially higher (n=6, 68.3 (23.5, 294.8)) versus (n=93, 34.6 (11.7, 90.0); median difference 25.9 (-35.5, 221.8); p=0.291) for the other trials.
CONCLUSIONS: There was no clear evidence that surgical trials differ from medical trials in terms of recruitment activity. There was, however, support for the inference that medical versus surgical trials are more difficult to recruit to. Formal exploration of the recruitment data through a modelling approach may go some way to tease out where important differences exist.

Entities:  

Mesh:

Year:  2008        PMID: 18397843      PMCID: PMC2669413          DOI: 10.1016/j.cct.2008.02.005

Source DB:  PubMed          Journal:  Contemp Clin Trials        ISSN: 1551-7144            Impact factor:   2.226


Background

Good recruitment is integral to the conduct of a high-quality randomised controlled trial. However, many trials struggle to recruit to their original target in terms of both time and budget [1-3]. It has been suggested that recruitment is particularly difficult for evaluations of surgical interventions, a field in which there is a dearth of evidence from randomised comparisons [4-6]. Strong preferences amongst surgeons and potential participants, as well as limitations on resources both infrastructure (theatre time) and staff availability (surgical team), have been highlighted as possible explanations. A surgical trial can be defined as a trial undertaking a randomised comparison of a surgical procedure against some form of control. Various options are available for the control, including where viable, a surgical placebo. In general, surgical trials can be considered to fall into three levels of increasing difficulty to conduct: Level 1 — randomised comparisons of surgical procedures which differ only in a minor way (e.g. a comparison of two methods of suturing) [7] Level 2 — randomised comparisons of different forms of surgery which differ in a significant way in terms of the overall approach and skills required (e.g. a comparison of laparoscopic surgery versus open surgery for inguinal hernia) [8] Level 3 — randomised comparisons of some form of medical management versus a surgical intervention (e.g. proton pump inhibitors versus fundoplication for gastro-oesophageal reflux disease) [9]. Issues of patient preference and clinical equipoise are likely to be greatest where the difference between comparisons is greatest [10]. While there is anecdotal speculation to support the inference that recruitment to surgical trials is more challenging than for medical trials, we are unaware of any formal assessment of this. The aim of this work was to use empirical data to assess whether there is evidence that recruitment to surgical trials is more difficult than for medical trials. Two aspects were considered, overall recruitment to the trial (trial level) through the assessment of a cohort of trials, and recruitment at the centre level through three example surgical trials.

Methods

We assessed recruitment to surgical trials in general by testing two pre-specified hypotheses on data from a cohort of publicly funded trials. We firstly hypothesised that surgical trials would be more difficult to recruit to and therefore they have a higher level of recruitment activity than medical trials (Hypothesis A) and secondly that the surgical trials of greater complexity (as defined earlier) would similarly lead to a higher level of recruitment activity (Hypothesis B). To test Hypotheses A and B, we used a simple measure of recruitment activity for multicentre randomised controlled trials, the Recruitment Index [11], which is defined as the average number of days taken to recruit a participant in a centre: For example, a trial which recruited 100 patients in 200 days over 5 centres would have a RI of 10 (average number of centre recruitment days per recruit). We calculated the RI for a cohort of publicly funded trials to measure the level of recruit activity for surgical trials. The RI was calculated on the basis of the actual number recruited as opposed to the number completing the trial protocol which was not consistently recorded. We tested for an overall difference between surgical and medical trials to assess Hypothesis A. Level 3 trials versus the remaining trials was tested to assess Hypothesis B. For hypothesis generating purposes, and to illustrate complexities of multicentre recruitment within surgical trials, two hypotheses were tested on three example surgical trials. First, we hypothesised that late starting centres would recruit less than early starting centres (Hypothesis C). Second, we hypothesised that the rate of recruitment within centres would reduce during the course of the trial (Hypothesis D). All hypotheses were tested using a Mann–Whitney U test at the 5% significant level in SPSS [12]. The Recruitment Index, the number recruited and the rate of recruitment were summarised as median and interquartile range (IQR). A 95% confidence interval for the median difference was calculated in STATA [13].

Data

Cohort

The STEPS project carried out a review of publicly funded trials from two UK funding bodies, the UK NHS R&D National Methodology Programme and the UK Medical Research Council (MRC) [2]. All multicentre trials except for cluster randomised trials were included. Data was collected on the 114 multicentre trials, which recruited between 1994 and 2002, on recruitment and finance details from application forms and progress reports. Where insufficient data was available in the STEPS database a search for trial publications was undertaken to collect additional details which may not have been available when the original search was conducted. For individual trials recruited to more than one randomised comparison, only the comparison with the largest target recruitment was considered. Though UK funded, 25 (22%) of the trials also had centres based outside the UK. A pilot study had been undertaken for 60 of the Trials (53%). Two reviewers independently categorised the cohort as either a surgical or medical trial (Table 1). Any differences were resolved by consensus.
Table 1

Summary recruitment information on the cohort of multicentre trials

Trial feature — median (IQR)Surgical trials
Medical trials
N = 18N = 81
Number of centres12 (4, 28)16 (5, 49)
Number recruited449 (204, 915)368 (225, 872)
Time recruiting (days)1162 (730, 1472)912 (649, 1272)

Example trials

Centre level recruitment data was available for three surgical trials, one representing each of the three levels of surgical trials. Basic information on the three surgical trials used to assess multicentre recruitment is given in Table 2. The trials differed in size and clinical area.
Table 2

Example surgical trials summary information

Surgical trial levelClinical areaNo. of centresActual (target) recruitmentRI
1Orthopaedics271715 (1500)20.4
2General Surgery261027 (1000)30.9
3Gastroenterology20357 (600)67.6

Results

The cohort included trials from a variety of clinical areas (including Cancer, HIV/AID, urology, primary care and mental health) and setting (hospital, community and general practice). Trial varied greatly in their target recruitment between 60 and 66,000. The number of centres, number of participants recruited and the time recruiting (start of recruitment to end of recruitment) are given in Table 1 for surgical and medical trials. The Recruitment Index was found to be higher, though not statistically significantly, in the surgical group (n = 18, median = 38.0 IQR (10.7, 77.4)) versus (n = 81, median = 34.8 IQR (11.7, 98.0)) days per recruit for the medical group (median difference 1.7 (− 19.2, 25.1); p = 0.828). For trials which compared a surgical against a medical comparison (level 3), the Recruitment Index was substantially higher (n = 6, 68.3 (23.5, 294.8)) versus (n = 93, 34.6 (11.7, 90.0); median difference 25.9 (− 35.5, 221.8); p = 0.291) for the other trials. The results for Hypotheses C and D are given in Tables 3 and 4 respectively. Two of the three trials supported Hypothesis C that latter centres do not recruit as well as early centres. The median rate of recruitment for latter centres was approximately a half that of the early centres for trials 1 and 2. All 3 tended towards a reduction in the rate of recruitment within centre (Hypothesis D) with one significant at the 5% level and one just failing to be so. Substantial reductions in the number of participants recruited were observed between the first half of centre's recruitment period and the second half.

Discussion

In general, there was no clear evidence that surgical trials differ from medical trials in terms of recruitment activity. There was, however, support for the inference that complex (level 3) surgical trials are more difficult to recruit to. We suggest that the 3 levels of surgical trials is a useful paradigm for understanding the variation in required recruitment activity between surgical trials. The Recruitment Index is a simple measure of the recruitment rate for a multicentre trial. We found that the index varied greatly between trials and it might be the case that a more nuanced measure may be more sensitive to differences between trials. For example, extending the measure to the centre level might provide a more accurate picture of recruitment as centres may have staggered start dates. The exploratory centre level analysis illustrated that recruitment is a complex process within a trial and emphasised the variation in recruitment both between and within centres. Haidich and Ioannidis [14] previously demonstrated a difference between late starting centres and early centres for AIDS trials and we found a broadly consistent pattern. There was also some evidence of slowing down in recruitment during the trial period. Patient preference is often the most notable reason for recruitment being difficult to surgical trials [15]. Surgical treatment polarises participant attitudes for and against surgery. Further research is needed to investigate whether other factors also play a part and to what degree recruitment strategies can improve participation rates for these trials. There were a number of limitations to our study. To enable calculation of the Recruitment Index we used the number of participant randomised. This ignored the quality of data on those included in the trial. The need for long-term follow up to evaluate surgical interventions has been highlighted and consideration of retainment of participant was not assessed [5]. Though we looked at a large cohort of trials there was a relatively small number of surgical trials available. Similarly, we only considered three surgical trials at the centre level and therefore cautious interpretation is needed. It is uncertain whether our results would hold for commercial as opposed to publicly funded trials and investigation of this is warranted.

Conclusions

We found no clear evidence to support the assertion that recruitment to surgical trials in general is more difficult than other clinical areas. However, complex (medical versus surgical) trials appear substantially more difficult to recruit to. Formal exploration of the recruitment data through a modelling approach may go some way to tease out where important differences exist and could inform future trial design.

Funding

The first author was supported by a Medical Research Council UK Fellowship.
Table 3

Number of participants recruited in early and late starting centres for 3 example surgical trials

Example trialNumber of participants recruited per month — median (IQR)
p value
Early centres
Late centres
nMedian (IQR)nMedian (IQR)
1134.1 (2.6, 5.0)141.8 (1.4, 4.8)0.077
2131.9 (1.0, 2.7)131.0 (0.7, 1.7)0.065
3100.8 (0.5, 1.2)100.9 (0.8, 1.9)0.369
Table 4

Number of participant recruited within centres for 3 example surgical trials

Example trialNumber of participants recruited — median (IQR)
p value
1st half of recruitment period2nd half of recruitment period
130 (11, 44)21 (6, 45)0.052
28 (4, 19)6 (2, 23)0.122
310 (6, 14)5 (1, 11)0.022
  13 in total

Review 1.  Randomised trials in surgery: problems and possible solutions.

Authors:  Peter McCulloch; Irving Taylor; Mitsuru Sasako; Bryony Lovett; Damian Griffin
Journal:  BMJ       Date:  2002-06-15

Review 2.  Perspectives of evidence-based surgery.

Authors:  Moritz N Wente; Christoph M Seiler; Waldemar Uhl; Markus W Büchler
Journal:  Dig Surg       Date:  2003-05-15       Impact factor: 2.588

3.  Recruitment for controlled clinical trials: literature summary and annotated bibliography.

Authors:  L C Lovato; K Hill; S Hertert; D B Hunninghake; J L Probstfield
Journal:  Control Clin Trials       Date:  1997-08

4.  A randomized controlled trial of laparoscopic nissen fundoplication versus proton pump inhibitors for treatment of patients with chronic gastroesophageal reflux disease: One-year follow-up.

Authors:  Mehran Anvari; Christopher Allen; John Marshall; David Armstrong; Ron Goeree; Wendy Ungar; Charles Goldsmith
Journal:  Surg Innov       Date:  2006-12       Impact factor: 2.058

5.  The Ipswich Childbirth Study: 1. A randomised evaluation of two stage postpartum perineal repair leaving the skin unsutured.

Authors:  B Gordon; C Mackrodt; E Fern; A Truesdale; S Ayers; A Grant
Journal:  Br J Obstet Gynaecol       Date:  1998-04

6.  Surgical practice is evidence based.

Authors:  N Howes; L Chagla; M Thorpe; P McCulloch
Journal:  Br J Surg       Date:  1997-09       Impact factor: 6.939

7.  The challenge of recruiting patients with anterior cruciate ligament injury of the knee into a randomized clinical trial comparing surgical and non-surgical treatment.

Authors:  Richard B Frobell; L Stefan Lohmander; Ewa M Roos
Journal:  Contemp Clin Trials       Date:  2006-10-06       Impact factor: 2.226

8.  Open mesh versus laparoscopic mesh repair of inguinal hernia.

Authors:  Leigh Neumayer; Anita Giobbie-Hurder; Olga Jonasson; Robert Fitzgibbons; Dorothy Dunlop; James Gibbs; Domenic Reda; William Henderson
Journal:  N Engl J Med       Date:  2004-04-25       Impact factor: 91.245

9.  Late-starter sites in randomized controlled trials.

Authors:  Anna-Bettina Haidich; John P A Ioannidis
Journal:  J Clin Epidemiol       Date:  2003-05       Impact factor: 6.437

10.  What influences recruitment to randomised controlled trials? A review of trials funded by two UK funding agencies.

Authors:  Alison M McDonald; Rosemary C Knight; Marion K Campbell; Vikki A Entwistle; Adrian M Grant; Jonathan A Cook; Diana R Elbourne; David Francis; Jo Garcia; Ian Roberts; Claire Snowdon
Journal:  Trials       Date:  2006-04-07       Impact factor: 2.279

View more
  15 in total

1.  Treating fracture of the clavicle.

Authors:  Patrick D G Henry
Journal:  CMAJ       Date:  2016-02-22       Impact factor: 8.262

2.  The willingness of patients presenting with advanced glaucoma to participate in a trial comparing primary medical vs primary surgical treatment.

Authors:  P Leighton; A J Lonsdale; J Tildsley; A J King
Journal:  Eye (Lond)       Date:  2011-11-18       Impact factor: 3.775

3.  Adaptation of the By-Band randomized clinical trial to By-Band-Sleeve to include a new intervention and maintain relevance of the study to practice.

Authors:  C A Rogers; B C Reeves; J Byrne; J L Donovan; G Mazza; S Paramasivan; R C Andrews; S Wordsworth; J Thompson; J M Blazeby; R Welbourn
Journal:  Br J Surg       Date:  2017-08       Impact factor: 6.939

4.  The recruitment of patients to trials in head and neck cancer: a qualitative study of the EaStER trial of treatments for early laryngeal cancer.

Authors:  D W Hamilton; I de Salis; J L Donovan; M Birchall
Journal:  Eur Arch Otorhinolaryngol       Date:  2013-01-20       Impact factor: 2.503

5.  Surgical fixation compared with cast immobilisation for adults with a bicortical fracture of the scaphoid waist: the SWIFFT RCT.

Authors:  Joseph Dias; Stephen Brealey; Liz Cook; Caroline Fairhurst; Sebastian Hinde; Paul Leighton; Surabhi Choudhary; Matthew Costa; Catherine Hewitt; Stephen Hodgson; Laura Jefferson; Kanagaratnam Jeyapalan; Ada Keding; Matthew Northgraves; Jared Palmer; Amar Rangan; Gerry Richardson; Nicholas Taub; Garry Tew; John Thompson; David Torgerson
Journal:  Health Technol Assess       Date:  2020-10       Impact factor: 4.014

6.  Meniscal Transplantation and its Effect on Osteoarthritis Risk: an abridged protocol for the MeTEOR study: a comprehensive cohort study incorporating a pilot randomised controlled trial.

Authors:  N A Smith; J Achten; N Parsons; D Wright; B Parkinson; P Thompson; C E Hutchinson; T Spalding; M L Costa
Journal:  Bone Joint Res       Date:  2015-06       Impact factor: 5.853

Review 7.  A systematic review of the use of an expertise-based randomised controlled trial design.

Authors:  Jonathan A Cook; Andrew Elders; Charles Boachie; Ted Bassinga; Cynthia Fraser; Doug G Altman; Isabelle Boutron; Craig R Ramsay; Graeme S MacLennan
Journal:  Trials       Date:  2015-05-30       Impact factor: 2.279

8.  The challenges faced in the design, conduct and analysis of surgical randomised controlled trials.

Authors:  Jonathan A Cook
Journal:  Trials       Date:  2009-02-06       Impact factor: 2.279

9.  Scaphoid Waist Internal Fixation for Fractures Trial (SWIFFT) protocol: a pragmatic multi-centre randomised controlled trial of cast treatment versus surgical fixation for the treatment of bi-cortical, minimally displaced fractures of the scaphoid waist in adults.

Authors:  Joseph Dias; Stephen Brealey; Surabhi Choudhary; Liz Cook; Matthew Costa; Caroline Fairhurst; Catherine Hewitt; Stephen Hodgson; Laura Jefferson; Kanagaratnam Jeyapalan; Ada Keding; Paul Leighton; Amar Rangan; Gerry Richardson; Claire Rothery; Nicholas Taub; John Thompson; David Torgerson
Journal:  BMC Musculoskelet Disord       Date:  2016-06-04       Impact factor: 2.362

10.  Instrumental variable methods for a binary outcome were used to informatively address noncompliance in a randomized trial in surgery.

Authors:  Jonathan A Cook; Graeme S MacLennan; Tom Palmer; Noemi Lois; Richard Emsley
Journal:  J Clin Epidemiol       Date:  2017-11-20       Impact factor: 6.437

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.