Datacubed Health’s award-winning mobile platform has been selected to
support worldwide studies for those at risk of Dominantly Inherited
Alzheimer’s Disease, a rare form of early-onset Alzheimer’s Disease. The
Linkt platform enables the collection of real-time data on sleep, diet
and other biomarkers using a “bring your own device” (BYOD) study model.
Datacubed Health’s app, platform and web-based portal will be used by
scientists at the Dominantly Inherited Alzheimer Network (DIAN) at the
Washington University School of Medicine in Saint Louis. The DIAN
research incorporates an observational study, clinical drug trials, a
research registry and smaller ancillary studies. Datacubed Health’s
tools will enable researchers to collect data that is more
representative of natural settings while reducing participant burden.
The app and portal utilize a gamified experience with rewards for
completion and compliance. Participants navigate an interactive map
journey creating variable rewards such as digital gems and visual
progress as they complete articles, surveys and tasks. Datacubed
Health’s tools allow researchers and study coordinators to enroll
participants, monitor real-time progress and compliance dashboards,
manage incentives and review study data.
The Linkt app and portal will also be used to support a registry for
families confirmed or suspected to have the disease and a longitudinal
observational study of family members with parents who have the gene
mutation associated with the disease. With research suggesting that
brain changes occur years before symptoms develop, the goal is to
identify these changes in presymptomatic carriers. Ultimately,
researchers hope to develop therapies to detect and treat DIAD at its
earliest stages – or prevent it altogether.
“The DIAN study represents one of the most important opportunities to
understand Alzheimer’s disease,” said Eric McDade, Principal
Investigator for the DIAN Expanded Registry. “We are excited to partner
with Datacubed Health in order to bring a new set of tools to interact
with our participants and collect information outside of the typical
“We are excited and honored to be supporting DIAN in this extremely
important work,” said Paul W. Glimcher, Chief Executive Officer of
Datacubed Health. “Through remote and real-time monitoring of a wide
range of biomarkers, we will be able to provide DIAN with access to both
Clinical Outcomes and real-world data, even real-world data from
nonclinical environments. And as is typical for our platform, by
allowing participants to use the app with their own phones, Washington
University/DIAN researchers will look to achieve an even higher
participant compliance than is typical in studies of this kind.”
Datacubed Health’s mobile health platform is designed for Android and
iOS smartphones and tablets. Participants can use the app on their own
smart phones and tablets, rather than on devices provisioned by
Evidence suggests that the BYOD approach has clear advantages
over the provisioning of phones. The rate of survey and diary compliance
with BYOD ranges between 87 percent and 96 percent compared to 60
percent to 80 percent with a provisioned device, a difference that
reflects the high levels of contact consumers have with their own phones
throughout the day.
About Datacubed Health:
Datacubed Health is a pioneering technology company making better
science and healthier communities a reality. We apply individualized
solutions for the capture of data, including smartphone apps, wearable,
in-home, and environmental sensors. We specialize in remote engagement
with patients and virtual clinical studies. Focusing on healthcare and
life sciences, Datacubed Health offers software and services based on
behavioral science to improve patient retention and compliance,
resulting in better data and positive health outcomes. We believe that
the best way to unlock the insights that have eluded scientists is
understanding the holistic life of an individual.
Find out more about Datacubed Health by visiting www.datacubed.com.
Datacubed Health is on LinkedIn and Twitter @DatacubedHealth.