| Literature DB >> 16707011 |
Catriona Mc Daid1, Zoé Hodges, Debra Fayter, Lisa Stirk, Alison Eastwood.
Abstract
BACKGROUND: There are many barriers to patient participation in randomised controlled trials of cancer treatments. To increase participation in trials, strategies need to be identified to overcome these barriers. Our aim was to assess the effectiveness of interventions to overcome barriers to patient participation in randomised controlled trials (RCTs) of cancer treatments.Entities:
Year: 2006 PMID: 16707011 PMCID: PMC1489947 DOI: 10.1186/1745-6215-7-16
Source DB: PubMed Journal: Trials ISSN: 1745-6215 Impact factor: 2.279
Figure 1Study selection process.
Characteristics of included studies
| Angiolillo et al. (2004)[24] United States | Controlled observational study | Parents of children with cancer | I: n = 36; | A high possibility of selection bias due to lack of randomisation and no reported process for selecting individual participants. The intervention was not implemented in a standardised way. Due to poor reporting the risk of contamination was unclear. There was a particular risk of performance bias. | |
| Coyne et al. (2003)[22] United States | Cluster randomised controlled trial | Adult cancer patients | I: n = 78; | This was a randomised study. The unit of randomisation was at the institutional level and this was maintained for the statistical analysis. However, due to poor reporting it is unclear whether the study was properly designed to protect against selection bias. The design appeared to protect against contamination as only one consent statement was used at an individual centre. | |
| Donovan et al. (2003)[19] United Kingdom | Randomised controlled trial | Adult cancer patients | I: n = 75; | A good quality RCT: appropriate randomisation, concealed allocation, at least 80% of patients considered at follow-up and ITT analysis conducted. It is possible that contamination between the two groups and performance bias may have influenced the findings. | |
| Donovan et al. (2002)[20] United Kingdom | Before and after | Healthcare professionals | Baseline: n = 30; | This is an uncontrolled study therefore there is a risk of factors other than the intervention influencing patient participation. | |
| Fleissig et al. (2001)[21] United Kingdom | Nonrandomised controlled study | Healthcare professionals and adult cancer patients | I: n = 135; | A high possibility of selection bias: only the order in which doctors conducted intervention and control group consultations were randomised (in blocks of 5 patients). The process by which patients were selected for inclusion was not reported. There was a high possibility of contamination as the same doctors were involved administering the experimental intervention and the comparison. The intervention was not implemented in a standardised way. The process of completing the questionnaires may have influenced patient decision-making in both groups. | |
| Gross et al. (2004)[25] United States | Controlled observational study | System level | I: n = 4569; | The baseline enrolment rate was statistically significantly higher in intervention group than the comparator group introducing the risk of regression to the mean. Lack of enforcement in the intervention group and behaviour of physicians in the comparator states to compensate for lack of coverage could have had an influence. | |
| Paskett et al. (2002)[23] United States | Nonrandomised controlled study | Adult cancer patients, healthcare professionals | Total number of participants not stated | The risk of selection bias is unclear. Data on patient trial participation were obtained from medical records; however it was unclear how specific cancer patients within regions were selected or whether all cases were detected. The study was susceptible to contamination: improving participation of patients in all rural areas was a major focus of the Community Clinical Oncology Program (CCOP) and both geographical areas had active CCOP physicians. | |
| Simes et al. (1986)[26] Australia | Randomised controlled trial | Adult cancer patients and healthcare professionals | I: n = 28; | This was a randomised study though it was not possible to assess from the information reported whether the method of assignment was truly random and whether it was concealed. There was a high possibility of contamination as the same doctors were involved in delivering the experimental. Attempts were made to establish whether the intervention and comparison were standardised across patients though it was not possible to establish whether the method used was sufficiently rigorous. |
I: experimental intervention, C: comparator
§Document 1 asked recruiters to present the three treatment options in a particular order and provide equivalent detail on advantages and disadvantages. They were asked to avoid the terms trials and 'watchful waiting' to describe monitoring and place emphasis on patients being eligible for all treatments; document 2 re-emphasised monitoring as an active process, eliciting and challenging patients' views if at odds with the evidence and re-emphasised there was no compulsion to accept treatment allocation; document 3 provided good and not so good examples of how to present information about treatments in an equal way.
Participation rates
| Angiolillo et al. (2004)[24] | 77% | 88%* |
| Coyne et al. (2003)[22] | 75% | 68%* |
| Donovan et al. (2003)[19] | 67% | 71%* |
| Donovan et al. (2002)[20] | Baseline 30–40% | No comparator |
| Fleissig et al. (2001)[21] | 81% | 74%* |
| Paskett et al. (2002)[23] | Breast | Breast |
*only those studies with an asterisk assessed statistical significance, all of these were non significant.
** number of patients not available