| Item extracted | Justification |
---|---|---|
Recruitment characteristics | Number of patients screened for trial participation | Used to generate randomisation rate outcome |
Number of patients randomised into the trial | Used to generate randomisation rate, recruitment rate and dropout outcomes | |
Number of patients who drop out | Used to generate dropout outcome | |
Number of sites used for recruitment | Used to generate recruitment rate outcome | |
Continent of recruitment | Recruitment has been shown to differ between countries [1, 2] | |
Recruitment strategy | The recruitment strategies/methods adopted by trials may affect recruitment efficiency [3] | |
Profession of the recruiter | The profession of the recruiter may play a role in willingness of patients to take part in trials [2, 4]. Some professions have been described as ‘gatekeeping’ during the recruitment process [5] | |
Number of recruiters per site | The number of people responsible for recruitment may reduce recruitment efficiency [6,7,8,9] | |
Trial characteristics | Publication date | There is evidence to suggest recruitment of stroke survivors for clinical trials is becoming less efficient [10, 11] |
Type of intervention | The treatments on offer can be a motivating factor for potential participants [12, 13] | |
Targeted impairment | ||
Control condition | ||
Stroke survivor residence | Recruitment from a community setting may lead to more efficient recruitment to RCTs [11]. Recruitment of acute stroke survivors within a hospital setting has been highlighted as a problematic recruitment area [10, 11] | |
Stage of rehabilitation | ||
Funding support | There are potential issues of bias when certain funding bodies are used [14]. Trialists may be influenced by institution pressures to secure funding [15] | |
Ethics approval | Trialists are concerned by the impact of research governance on the recruitment process [15, 16] |