Case Study (RAMP)

670% increase in black minority ethnic participation in anxiety and depression study.

RAMP was a nation-wide study assessing longitudinal impact in mood disorders through the collection of real-time data on patient’s physiological, emotional, cognitive, and motor activities. The objective of RAMP was to monitor the impact of isolation in individuals suffering from anxiety and depression as well as the incidence of mood disorders in healthy volunteer populations in correlation with extended isolation.

The Challenge

RAMP garnered substantial interest in the UK population with over 10,000 participants within the first 6 months of recruitment. However, demographic data demonstrated that of the 10,000 participants enrolled into the study, only 62 individuals identified as black. This equated to a proportion of 0.6% of the study population – whereas, the proportion of black individuals in the UK population was ~3%.

Without proportionate representation, the team could not make any valid comparisons between groups, as in scientific terms, our research would lack statistical power. In order to evaluate data that was proportionally representative of the UK population, a minimum of 300 participants identifying as black needed to be enrolled into the study.

Historically, over 96% of clinical studies have taken place in white populations. Substantial barriers exist preventing individuals from black minority ethnic (BME) groups from accessing and participating in clinical research.

The Solution

Our team began by conducting an audit of the existing recruitment system, creating a clear understanding of the access points for BME patients. In this process, the full patient journey was mapped assessing language and flow from one patient audience to another. At each step, we helped the client understand where accessibility would be optimised in recruitment moving forwards.

After gaining critical insight into the existing infrastructure, Neucruit’s data mapping algorithm was deployed to build key hypotheses around ideal BME patient profiles within the United Kingdom. This included mapping demographics, interests and delocalisation of motivated BME individuals for the study. Alongside this, micro-site variations were built with pre-screening functionality and tested in BME patient populations.

Hypotheses were validated using a set of campaigns. Campaign data was collected and utilised in a feedback process, using real-time optimisation to improve the recruitment framework and patient profiles accessed. Once a dominant framework was established, the team monitored the platform for the client until full delivery.

Statistics

Demographics by region

Platform
Participants
Percentage
Instagram
451
32%
Twitter
392
28%
Google
315
22%
Facebook
121
9%
Pinterest
85
6%
Reddit
18
1%
0%

Increase in BME enrolment rate

0%

Increase in BME study representation

0%

Reduction in recruitment timelines for BME population

Our efforts resulted in:

769%

Increase in BME enrolment rate

231

BME randomizations

17

Months saved

The Result

The client was able to reach their BME participation target in 3 months as compared to the original 20 month estimation based on their historical enrolment rate, reducing timelines by 85%. Further, valuable information was generated regarding target audiences and ideal BME patient profiles in anxiety and depression studies.

Quick and effortless: a very reliable source for collecting data for our study. The set-up is quick and effortless, something that us researchers need more and more. I would definitely recommend them.

-Dr. V. Sideropoulos

Collecting participants is always a daunting process. Neucruit made the process feasible. I’m very happy with the friendly customer service and effort from the team. Thank you!

-B. Masala

Ready to improve accessibility for your patient audiences?

Speak to a member of our team today to transform the way patients are made aware of cutting-edge clinical research and products by combining data, AI and modern media.