Recruiting for clinical trials has traditionally been an arduous and costly process, with likely candidates typically identified through hard-to-acquire physician referrals. Approximately 60% of referred patients fail at pre-screening, after 50% of the trial budget has been spent, and dropout rates aren’t much better, averaging around 30%, with most patients opting out either due to a lack of relevance or logistical constraints.
To accelerate the recruitment process and support changing clinical trial models, investigators are increasingly turning to analytics to help facilitate the clinical trial recruitment process, including emerging hybrid and decentralized or “virtual” models.
As a trusted partner, Quest brings experience and capabilities in data analytics to facilitate patient recruitment, leveraging a database of 58+ billion clinical lab results, 2,250 patient service centers — increasingly in retail locations – and 20,000 mobile care professionals seeing patients in the workplace and homes.
Leveraging lab databases and services enables critical linkage between diagnostic laboratory insights, other data sets, and patient services, informing recruitment offerings that typically start with the sponsor or CRO sharing inclusion and exclusion (I/E) criteria for a study. Based on the criteria, Quest provides a core patient outreach service through its Quest Trials Connect, which also includes site and investigator identification and validation, and physician outreach.
The patient outreach component of Quest Trials Connect deploys digital outreach campaigns to patient candidates on behalf of clients, measuring delivery, open, click-through, and pre-registration rates. If a campaign isn’t meeting expectations, Quest experts immediately ask why—helping clients dynamically change their investigator mix, geography, clinical criteria design, and outreach messages.
Ultimately, the goal of any recruitment effort is to analyze populations of patients and predict who is going to enroll and be most likely to stay in the trial, both from a clinical standpoint and related to social determinants of health, which include demographics, psychographics, and other elements of the patient’s profile.