| Literature DB >> 24373214 |
Deborah Fenlon, Kim Chivers Seymour, Ikumi Okamoto, Jane Winter, Alison Richardson, Julia Addington-Hall, Jessica L Corner, Peter W Smith, Christine M May, Matthew Breckons, Claire Foster1.
Abstract
BACKGROUND: The UK leads the world in recruitment of patients to cancer clinical trials, with a six-fold increase in recruitment during 2001-2010. However, there are large variations across cancer centres. This paper details recruitment to a large multi-centre prospective cohort study and discusses lessons learnt to enhance recruitment.Entities:
Mesh:
Year: 2013 PMID: 24373214 PMCID: PMC3877869 DOI: 10.1186/1471-2288-13-153
Source DB: PubMed Journal: BMC Med Res Methodol ISSN: 1471-2288 Impact factor: 4.615
Figure 1Time taken to conduct study from initial approvals to achieving target recruitment.
Figure 2Patient recruitment flow from numbers eligible to participate to numbers consented to study.
Time (days) taken per centre to commence recruitment, including research approvals, time to screen for eligible patients and time to first recruit (in ascending order according to the total time to recruit)
| C | 13 | 35 | 48 | 5 | 0 | 0 | 5 | 53 |
| BB | 0 | 42 | 42 | 0 | 0 | 17 | 17 | 59 |
| B | 13 | 23 | 36 | 0 | 10 | 15 | 25 | 61 |
| D | 26 | 20 | 46 | 8 | 6 | 7 | 21 | 67 |
| E | 49 | 0 | 49 | 0 | 11 | 12 | 23 | 72 |
| F | 63 | 3 | 4 | 4 | 11 | 74 | ||
| G | 25 | 16 | 41 | 12 | 10 | 12 | 34 | 75 |
| H | 35 | 0 | 35 | 0 | 48 | 0 | 48 | 83 |
| I | 35 | 28 | 63 | 0 | 27 | 0 | 27 | 90 |
| J | 22 | 32 | 54 | 15 | 15 | 7 | 37 | 91 |
| K | 15 | 49 | 64 | 10 | 17 | 0 | 27 | 91 |
| L | 54 | 9 | 63 | 26 | 6 | 0 | 32 | 95 |
| M | 29 | 40 | 69 | 12 | 29 | 1 | 42 | 111 |
| N | 42 | 55 | 97 | 13 | 7 | 2 | 22 | 119 |
| O | 21 | 56 | 77 | 6 | 36 | 5 | 47 | 124 |
| P | 31 | 26 | 57 | 6 | 8 | 55 | 69 | 126 |
| Q | 35 | 22 | 57 | 3 | 57 | 9 | 69 | 126 |
| R | 48 | 40 | 88 | 37 | 6 | 13 | 56 | 144 |
| S | 112 | 0 | 8 | 40 | 48 | 160 | ||
| T | 13 | 0 | 135 | 19 | 154 | 167 | ||
| U | 62 | 50 | 112 | 0 | 29 | 31 | 60 | 172 |
| V | 0 | 45 | 45 | 49 | 71 | 10 | 130 | 175 |
| W | 145 | 2 | 147 | 0 | 11 | 21 | 32 | 179 |
| X | 34 | 146 | 180 | 5 | 3 | 0 | 8 | 188 |
| Y | 29 | 89 | 118 | 0 | 61 | 15 | 76 | 194 |
| Z | 137 | 35 | 172 | 0 | 28 | 6 | 34 | 206 |
| AA | 28 | 64 | 92 | 0 | 116 | 15 | 131 | 223 |
| A | 21 | 56 | 77 | 4 | 136 | 14 | 154 | 231 |
| CC | 145 | 2 | 147 | 0 | 129 | 14 | 143 | 290 |
| 30 | 35 | 63 | 3 | 15 | 10 | 37 | 124 | |
| 145 | 146 | 180 | 49 | 136 | 55 | 154 | 290 | |
| 0 | 0 | 13 | 0 | 0 | 0 | 5 | 53 | |
Rate of recruitment per centre, including expected rate, missed, declined and total recruited (in ascending order according to Recruitment Index)
| BB | 80 | 2 | 160 | 217 | 19 | 9 | 24 | 165 | 189 | 87% | 2.36 | 2.06 | Yes | 4 |
| B | 56 | 3 | 95 | 130 | 6 | 15 | 22 | 87 | 109 | 84% | 1.95 | 1.64 | Yes | 5 |
| L | 54 | 2 | 104 | 115 | 3 | 10 | 11 | 91 | 102 | 89% | 1.89 | 1.68 | Yes | 3 |
| J | 56 | 2 | 111 | 94 | 0 | 4 | 7 | 83 | 90 | 96% | 1.61 | 1.55 | Yes | 5 |
| K | 55 | 1 | 55 | 53 | 1 | 1 | 12 | 39 | 51 | 96% | 0.93 | 0.89 | Late start | 2 |
| CC | 26 | 5 | 130 | 25 | 1 | 0 | 5 | 19 | 24 | 96% | 0.92 | 0.88 | Yes | 3 |
| M | 52 | 2 | 104 | 68 | 7 | 7 | 3 | 51 | 54 | 81% | 1.06 | 0.86 | Yes | 7 |
| W | 43 | 1 | 43 | 39 | 1 | 2 | 10 | 26 | 36 | 92% | 0.84 | 0.77 | Yes | 3 |
| C | 60 | 2 | 120 | 52 | 2 | 5 | 12 | 33 | 45 | 87% | 0.75 | 0.65 | Yes | 3 |
| Z | 15 | 2 | 31 | 11 | 0 | 1 | 0 | 10 | 10 | 91% | 0.67 | 0.61 | Late start | 1 |
| O | 51 | 2 | 101 | 57 | 9 | 8 | 8 | 32 | 40 | 70% | 0.78 | 0.55 | Yes | 3 |
| X | 44 | 3 | 131 | 32 | 6 | 1 | 0 | 25 | 25 | 78% | 0.57 | 0.44 | Yes | 1 |
| Y | 42 | 1 | 42 | 28 | 1 | 5 | 2 | 20 | 22 | 79% | 0.52 | 0.41 | Yes | 4 |
| Q | 52 | 2 | 111 | 38 | 1 | 9 | 1 | 27 | 28 | 74% | 0.54 | 0.40 | Yes | 4 |
| N | 46 | 2 | 91 | 41 | 0 | 14 | 4 | 23 | 27 | 66% | 0.59 | 0.39 | Late start | 2 |
| D | 59 | 2 | 118 | 49 | 3 | 13 | 0 | 33 | 33 | 67% | 0.56 | 0.38 | Yes | 1 |
| A | 37 | 2 | 73 | 18 | 0 | 2 | 2 | 14 | 16 | 89% | 0.43 | 0.38 | Yes | 5 |
| F | 38 | 2 | 77 | 47 | 11 | 10 | 7 | 19 | 26 | 55% | 0.68 | 0.37 | Late start | 2 |
| G | 38 | 2 | 75 | 22 | 3 | 2 | 5 | 12 | 17 | 77% | 0.45 | 0.35 | No | 0 |
| I | 55 | 3 | 167 | 52 | 12 | 11 | 5 | 24 | 29 | 56% | 0.53 | 0.30 | Yes | 4 |
| H | 56 | 1 | 47 | 41 | 4 | 11 | 1 | 25 | 26 | 63% | 0.46 | 0.29 | Yes | 2 |
| V | 47 | 4 | 187 | 17 | 3 | 3 | 0 | 11 | 11 | 65% | 0.23 | 0.15 | No | 1 |
| U | 47 | 2 | 44 | 30 | 7 | 9 | 0 | 14 | 14 | 47% | 0.30 | 0.14 | Yes | 3 |
| E | 38 | 2 | 76 | 37 | 5 | 20 | 4 | 8 | 12 | 32% | 0.32 | 0.10 | Late start | 1 |
| AA | 38 | 2 | 109 | 11 | 2 | 3 | 1 | 5 | 6 | 55% | 0.16 | 0.09 | No | 0 |
| S | 35 | 2 | 69 | 3 | 0 | 0 | 0 | 3 | 3 | 100% | 0.09 | 0.09 | No | 0 |
| R | 52 | 2 | 103 | 12 | 4 | 1 | 0 | 7 | 7 | 58% | 0.13 | 0.08 | No | 0 |
| T | 22 | 2 | 108 | 1 | 0 | 0 | 0 | 1 | 1 | 100% | 0.05 | 0.05 | No | 0 |
| P | 34 | 1 | 34 | 10 | 5 | 2 | 0 | 3 | 3 | 30% | 0.09 | 0.03 | Late start | 1 |
| | | | | | 70 | |||||||||
*As declared by centre on Expression of Interest and/or Contract (rounded down).
**Number of weeks recruiting x Expected recruitment per week.
***Recruitment Index = mean number recruited per week x percentage of eligible people actually recruited.
Reasons offered for delays in set up and running of the study
| Sick leave/annual leave | 8 |
| Research nurse overstretched by having to cover many different studies, clinics or a number of hospitals | 5 |
| No single point of access for potential participants (e.g. patients attending for assessment prior to surgery could attend any day of the week) | 3 |
| Competing studies. Priority given to clinical trials | 2 |
| PI &/or research nurse unable to engage the rest of the MDT | 2 |
| Research nurse said patients did not want to join study | 2 |
| Research nurse leaving | 2 |
| MDT processes changed since submitting EOI | 1 |
| Contract issues | 1 |
| PI did not have GCP training | 1 |
Note. PI Principal Investigator, MDT Multidisciplinary team, EOI Expression of Interest, GCP Good Clinical Practice.