Location: United Kingdom
By allowing medical data to be collected virtually, researchers are provided with more data from more participants for their studies.
In traditional research studies, there can be limits on the amount of data the researchers can collect due to the time requirements and accessibility to the patient. However, with 95% of adults in the UK owning smartphones, uMotif saw an opportunity for patient-led data collection.
uMotif creates custom solutions for research studies that allow patients to record symptoms, medications, pain levels, and track their vitals with wearables. It’s been found that 9 out of 10 people would be willing to take part in clinical research. Making that accessible through their smartphone will help provide researchers with a large amount of research data.
One example of a study that opted for uMotif’s platform was a 2016 UK-wide virtual study titled ‘Cloudy With a Chance of Pain’. The goal was to discover if the weather had any influence on pain. They were able to recruit 13 207 participants and used a combination of GPS weather data and user-submitted health symptoms to see if there was any correlation. It turns out; there is. Humidity is the biggest factor, with wind speed and temperature also contributors.
Taking a patient-centred approach to data collection for studies gives researchers access to a large amount of detailed data that will help drive medical advancements forward at a faster pace.
“Bruce Hellman, the co-founder of uMotif, was the second guest on 15 Minutes With The Doctor. It’s great to see the progress made. What struck me then was how uMotif could increase efficiency and reduce the typical cost of conducting research trials. Ultimately, being more cost-effective and quicker could lead to better availability of treatments for patients. The focus on patient engagement is very evident with a user-interface that draws you in.”
– Dr Vinay Shankar
Website: https://www.umotif.com/
Email: contact@umotif.com
Image: uMotif
15 Minutes With The Doctor Podcast: Capturing Data Effectively From Patients
