Engagement: The leading indicator of screening performance
How engaged sites out-screened non-engaged sites by 28% on a study that closed screening one month ahead of schedule.
Screening rarely fails suddenly. It drifts. Sites lose sight of study priorities, oversight arrives in episodes, and performance signals reach the study team after the window to act has closed. On most dashboards, the first hard evidence that a site is struggling is a screening number that never moves - by which point months of site cost have already been spent.
Data from a global study that recruited across 358 activated sites - and closed screening one month ahead of schedule - points to an earlier, more actionable signal: engagement.
A measurable standard, not a feeling
Engagement here is not a soft concept. Every site in the network carries a clear status - engaged or not engaged with the study - measured consistently at site level and refreshed on a regular cadence. The study team sustained that engagement deliberately: milestone and screening updates on a consistent cadence, country-specific newsletters, translated study materials, and more than 90 individually targeted alerts.
As of the latest data cut, 77% of activated sites were engaged. What makes the measure useful is what it predicts.
Sites that stay close to the protocol and current study guidance appear to select better candidates, not just more of them.
What the data shows
Among sites that screened at least one participant, the gap between engaged and non-engaged sites was consistent and material:
- Screening closed one month ahead of schedule.
- Engaged sites screened 2.18 participants per site, against 1.70 at non-engaged sites — 28% higher screening productivity.
- Engaged sites accounted for 83% of all participants screened (316 of 379), and led screening in both of the study's participant cohorts — delivering 78% of one and 88% of the other.
- In the sponsor's outcome analysis, engaged sites also ran a screen failure rate roughly 7 percentage points lower than non-engaged sites (46% vs. 53%) — despite screening nearly 5 times the volume.
- The pattern is not a one-off. In a second study in the same program, engaged sites are screening 42% more participants per site than non-engaged sites.
The screen failure result matters as much as the volume result. Screen failures are pure cost - site effort, participant burden, and budget spent with no enrollment to show for it. Sites that stay close to the protocol and current study guidance appear to select better candidates, not just more of them.
Talk to us about engagement on your studies.
One quadrant, four different solutions
Plotting every activated site on two axes - engaged or not, screening or not - turns the metric into an operating model. High performers (41% of this network) are engaged and screening; they need reinforcement, not intervention. Offline performers (10%) are screening without engaging; they carry the higher screen failure rates and the weakest per-site productivity. Low performers (13%) are neither engaged nor screening - with no activity and no signal of intent, they are the true dead cost on the study, and the honest candidates for closure decisions.
The fourth group is the one conventional reporting misses entirely. This study held 130 potential performers - 36% of the network - engaged but not yet screening. On a standard dashboard they are indistinguishable from the low performers: zero screens. In the engagement data they look completely different. They were reading the protocol, opening communications, educating themselves on the study - often waiting on lab equipment, working through local approvals, or holding candidates not yet seen. That is not failure. That is a pipeline.
From communication to execution
Screening results tell you how a site performed last month. Engagement tells you how a site is behaving today - and in this program, the two move together. That timing difference is the operational value: under-engagement becomes visible while there is still time to intervene, priorities can be reinforced dynamically rather than broadcast and hoped for, and resources move to the sites that need attention before the screening numbers make the problem obvious and expensive.
The impact compounds. Half a participant more per engaged site, multiplied across hundreds of sites and an ongoing enrolment window, is the difference between a directed study and a rescue plan. In this study, it was worth a month. Across a portfolio, it changes how predictably studies deliver.
See how Teckro turns engagement into an execution signal
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