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A cross-sectional design was used to collect data from a diverse set of site representatives via an online administered survey.
Several databases were tapped into invite participation in the study. These included members of the SCRS, LinkedIn and other social media contacts. It is estimated that an approximate total of 17,000 representatives from clinical trial sites were invited to participate in the study via a link to the survey used to collect the data.
Over a period of three months, each participant was able to click on a link to a survey that was available to them. The survey consisted of the DSAT and a section on demographics about the participant and their site. The DSAT is composed of 25 items each of which are anchored to a 6-point scale (0-No opportunity to Observe, 1-"Hardly ever (<or =5% of the time)", 2 - “Rarely (6-24% of the time), 3 - “Sometimes (25-49% of the time), 4 - “Often (50-74% of the time), 5 -“Nearly Always (75-94% of the time) and 6 - "Always (95% or more of the time) ). The 25 items are part of three sections: 1) Site Overview (10 items), 2) Site Recruitment and Outreach (9 items) and 3) Patient Focused Services (6 items). For this paper, frequencies, and percentage (%) of responses for Nearly Always and Always were merged to identify areas of improvement in diversity recruitment. To be able to discuss areas of improvement for the entire clinical site research industry, descriptive analysis was conducted for all respondents and then subgroup analysis was conducted. Based on the assumption that opportunities for improvement vary by the type of site and the number of studies conducted, during the subgroup analysis, we cross tabulated the type of practice that the respondent represented, and the self-reported number of studies conducted within that type of practice. While each of the resultant data is presented in tabular form, in the results section below opportunities for improvement are only summarized where 10 or more responses were tabulated in the subgroup.
Results: Tables 1-6 presents the results of our analysis. Based on these results, the following opportunities for improvement are identified: