uMed’s AccessPD Interactive Parkinson’s Registry Surpasses 1000 Participants

uMed has announced that its pioneering AccessPD Parkinson’s Disease Interactive registry has surpassed 1,000 participants. This milestone marks a significant step forward in advancing research in Parkinson’s Disease by providing life science companies and researchers with access to a large, diverse cohort of patients who are ready to participate in research opportunities.

Enriching Real-World Evidence

AccessPD offers a unique approach to evidence generation, providing access to data beyond what is routinely available. The interactive registry is designed to enrich real-world evidence with patient experiences, motivations, and outcome assessments that extend beyond traditional clinical efficacy. 

Participants contribute data from multiple sources, including their Electronic Health Records (EHRs), genetic tests, wearable devices, and patient-reported outcome surveys. This provides access to a rich source of regulatory-grade data which can then be augmented with the collection of additional custom data as required to answer specific research questions.

Rapid data collection from research-ready participants

Upon invitation to AccessPD, patients provide their consent to be re-contacted for the collection of additional data or to participate in further research opportunities. This means uMed can rapidly re-contact patients to collect specific data, without having to restart the recruitment and/or consent process from scratch.

In addition, the AccessPD master protocol is ethics-approved so researchers are able to immediately commence observational studies from a pre-consented cohort of patients with a diagnosis of Parkinson’s Disease.

Breaking Down Barriers to Participation

Recruiting and retaining patients for neurodegenerative disease studies, including Parkinson’s Disease, has long been a challenge due to barriers such as travel requirements, communication issues and limited digital access among older populations. AccessPD is uniquely positioned to overcome these hurdles by implementing innovative, patient-centric strategies including:

  • Provider-led identification: Patients are identified via their electronic health records which allows for the accurate identification of clinically diagnosed patients. This approach leads to increased engagement and consent rates.
  • Multi-Channel engagement: Patients are invited to attend AccessPD on behalf of their healthcare provider via SMS, email and letters, ensuring inclusivity regardless of digital proficiency or technology access.  
  • Delegated Consent: Accredited nurses are available to guide patients through the consent process via telephone and can provide delegated consent on their behalf, simplifying participation.
  • Remote participation:  AccessPD provides the opportunity for patients to participate in research from the comfort of their own homes; removing any financial or geographic barriers to taking part.

The success of AccessPD highlights the potential of combining technology with patient-focused engagement methods to address the unique challenges of neurodegenerative disease research.

For more information about AccessPD or to inquire about collaboration opportunities, please contact gabriel.koslover@umed.io

Decisive Consulting and uMed Announce Partnership to Drive Data-Driven Market Access Success in Cardiometabolic and Parkinson’s Disease Research

New collaboration launches at ISPOR 2024, offering pharmaceutical and biotech companies rapid access to unique, customizable data and expert guidance to bridge HTA evidence gaps.

London, UK, 18 November 2024 – Leading Market Access consultancy Decisive Consulting and, uMed, a pioneering healthcare evidence-generation and technology company, have announced a strategic partnership aimed at accelerating market access initially for therapies targeting Cardiometabolic Disease (CMD) and Parkinson’s Disease (PD). 

Combining uMed’s cutting-edge data collection and linkage capabilities within these disease areas, with Decisive Consulting’s extensive expertise in navigating healthcare technology assessments (HTAs) and evolving evidence needs worldwide, this collaboration promises to address key challenges that hinder therapies from reaching patients. 

Launching officially at ISPOR Europe 2024 in November, the partnership offers a unique consultancy service that empowers pharmaceutical, biotechnology and medical device companies with fast, efficient access to both retrospective and prospective patient data, alongside expert-driven strategic recommendations. This approach is designed to identify and address critical evidence gaps, helping customers shape their market access strategies and ultimately prove value to HTA bodies. 

As the healthcare industry faces increasing pressure to prove the value of high-cost treatments, and medicines with uncertain long-term benefits, this partnership will directly address several key industry challenges. 

HTA decisions rely on comprehensive and high-quality clinical data, but real-world evidence is often lacking or incomplete. uMed’s platform links real-world, clinical and patient-generated data to provide a dynamic, customisable dataset that can be smartly adapted to meet specific HTA needs, unlike traditional static databases.  

Furthermore uMed’s direct-to-patient data collection captures outcomes that are difficult to quantify, such as quality of life and patient satisfaction, providing a clearer picture of treatment impact. 

With access to pre-consented patient cohorts, organizations will be able to rapidly gather insights that enable quicker decisions on strategic positioning and evidence requirements, providing competitive advantage in a fast-moving market.  

By aligning this unique, patient-generated data with comprehensive evaluations of evidence gaps from experienced HTA consultants who understand both the scientific and economic landscape, the partnership enables companies to mitigate gaps in their evidence base, ultimately enhancing their ability to meet HTA criteria for clinical and cost-effectiveness. Customers can also expect to receive full support for the publication of evidence, helping to translate data into actionable insights for HTA submissions. 

Dr. Matt Wilson, CEO & Founder of uMed, commented: “This partnership enables us to become an essential partner to our customers by extending our services beyond the provision of custom datasets, to now also offer meaningful insights that substantiate value propositions and improve chances of market success. This is especially timely as we see the exponential development of innovative therapies for obesity and associated cardiometabolic conditions.” 

Esther Nzenza, CEO & Founder of Decisive Consulting, added:  “This strategic collaboration enhances our shared capabilities beyond evidence strategy and into evidence action, allowing identification of gaps and rapid delivery of targeted insights to support a range of different needs. In fast-evolving fields such as CVM, addressing these gaps is often crucial for market access and HTA success. Together, we empower clients to find and proactively address evidence shortfalls, strengthen their value propositions, and improve their ability to navigate complex market access requirements” 

Dr. Matt Wilson, CEO & Founder of uMed, commented: “This partnership enables us to become an essential partner to our customers by extending our services beyond the provision of custom datasets, to now also offer meaningful insights that substantiate value propositions and improve chances of market success. This is especially timely as we see the exponential development of innovative therapies for obesity and associated cardiometabolic conditions.” 

Esther Nzenza, CEO & Founder of Decisive Consulting, added:  “This strategic collaboration enhances our shared capabilities beyond evidence strategy and into evidence action, allowing identification of gaps and rapid delivery of targeted insights to support a range of different needs. In fast-evolving fields such as CVM, addressing these gaps is often crucial for market access and HTA success. Together, we empower clients to find and proactively address evidence shortfalls, strengthen their value propositions, and improve their ability to navigate complex market access requirements” 

 

About uMed  

uMed is a leading health data platform that combines real-world evidence with patient-generated data, bridging critical evidence gaps in life science research. With a pre-consented patient cohort, uMed accelerates the collection of high-quality, customizable  data for clinical and real-world studies. 

 

About Decisive Consulting  

Decisive Consulting is a global market access consultancy with a proven track record of successfully supporting the launch of innovative medicines and technologies. Decisive specialises in helping clients anticipate requirements and navigate complexity, ensuring products meet the clinical and cost-effectiveness criteria set by HTA bodies and other decision makers. 

 

For media inquiries, please contact: 

Lucy White 

Communications Manager, uMed 

lucy.white@umed.io 

 

Samantha Shannon

Partnerships Manager, Decisive Consulting

samantha.shannon@decisiveconsulting.co.uk

uMed Extends Role in HARMONIE RSV Study with Collection of Wheeze Data

uMed has announced its continued involvement in the HARMONIE infant RSV Study, contributing to the delivery of a study extension designed to support further regulatory submission.

The Company’s involvement in the HARMONIE extension project follows the successful enrollment of 735 infants into the HARMONIE Phase 3b study within just 5 months.

Supporting the extension project, uMed will collect wheeze data from the patients’ health records 24 months after their participation in the HARMONIE study

uMed’s ability to directly engage primary care practices and securely access and link health record data at speed, without the requirement to recontact participants will significantly reduce the burden on trial sites and expedite data collection. Where required, uMed will also collect secondary care data on behalf of the trial site.

Read more about uMed’s involvement in the HARMONIE Phase 3b study here

If you’d like to discuss how uMed can support data collection or patient recruitment for your study, please don’t hesitate to contact us. 

AccessCMD: Next-generation Cardiometabolic Cohort hits 2000 patient milestone in less than 4 months

Providing researchers with unparalleled opportunity to access novel endpoints

London, UK, July 10, 2024 – Healthcare evidence-generation and technology company uMed have announced the successful enrollment of over 2,000 participants into their AccessCMD Cardiometabolic Cohort less than 4 months after starting enrollment. 

The exponential growth of the cohort within this short time frame highlights the commitment of patients within this disease area to engage in research, and showcases the effectiveness of uMed’s unique model in providing research access that has previously been unavailable.

AccessCMD is a novel decentralised registry and integrated clinical research platform, ethics committee-approved under a master protocol framework. As with all uMed Cohorts, AccessCMD is powered by the Company’s ACCESS Research Platform which is partnered with a vast network of healthcare institutions in the UK and US. This enables rapid and targeted identification of patients via their health record data, and engagement via SMS, email, letter and phone, on behalf of their healthcare institution. Upon invitation to the cohort, patients provide their consent to be re-contacted for the collection of additional data or participate in additional research studies. 

Participants within AccessCMD actively contribute data from their Electronic Medical Records (EMR), genetic tests, wearable devices and patient-reported outcome surveys, offering an unparalleled opportunity for researchers within this disease area to access novel endpoints.

“From the rapid growth we have seen with AccessCMD it is clear that patients are willing and eager to participate in research, they just need to be provided the opportunity to do so, and at uMed we are empowering this unique access.

We achieve this through a combination of tailored communication on behalf of the patients’ trusted healthcare provider, offering research opportunities that are highly relevant to the individual’s health circumstances, and allowing patients to participate from the comfort of their own home” commented Anil Jina, MD. Chief Medical Officer at uMed.

With the rise in global obesity and related diseases, cardiometabolic research is capturing the attention of research groups as they work towards the development of new therapies and tools to address this health crisis. 

The potential for these therapies to benefit such a large proportion of the population is evident, however a challenge for researchers at all stages of the therapy lifecycle is the ability to access the required data points from large enough representative sub-cohorts.

Cardiometabolic disease describes numerous conditions, each interacting through intricate pathways and mechanisms that vary among individuals, many of which remain incompletely understood. Therefore researchers are often faced with the obstacles of finding a sufficient number of patients that meet their very specific study criteria, and obtaining the necessary endpoints needed to answer their research questions. Available databases and registries are static, preventing the easy collection of custom data, and site-based research is time consuming and expensive to set-up. 

“We’ve seen the huge impact of recent therapeutic developments within cardiometabolics, and for the many researchers now entering this field,   accessibility and speed are key.” commented Dr Matt Wilson, CEO & Founder of uMed.  “uMed is bridging the evidence gaps that currently exist between static databases and site-based studies, enabling the rapid collection of custom datasets without the requirement to start studies from scratch. AccessCMD presents researchers with a large cohort of pre-consented patients that researchers can rapidly re-contact to access additional custom endpoints to augment the expanding baseline dataset. ” 

“The rate of growth of AccessCMD is compelling and the potential for further growth is exciting.  Over a quarter of the population in the UK have risk factors, such high BMI, for serious cardiometabolic diseases. uMed’s integration with healthcare institutions across the UK is providing access to a large number of these patients. If we extrapolate the rate of growth we are seeing in AccessCMD to these wider population numbers, we expect to be able to improve access for patients to relevant research studies and to present researchers with important opportunities to extend their research to groups who have been historically underserved.” commented Dr Mark Toshner, Chief Investigator of AccessCMD

AccessCMD is currently recruiting patients across the UK via uMed’s healthcare network, with plans to launch the Cohort in the US by the end of 2024.

AccessPD: a valuable tool to address evidence gaps in device remote monitoring of Parkinson’s disease

Guidance released by NICE earlier this year considers how people living with Parkinson’s Disease and their carers could benefit from remote device technologies, and the clinical and cost effectiveness of the use of the technologies. Remote monitoring devices provide Parkinson’s Disease (PD) symptom data that enables clinicians to make better informed decisions about the care they provide, which in turn supports patients with improved symptom management and quality of life.

The guidance highlights the currently insufficient evidence surrounding the impact of using these devices in the NHS on quality of life of Parkinson’s patients and their carers, and a lack of clarity about how these devices affect NHS resources.  Therefore, NICE recommends that more evidence is generated whilst these technologies are being used in the NHS.

To support this, NICE has released an evidence generation plan which outlines the evidence gaps and what real-world data needs to be collected for a review of the technologies again in the future. 

uMed’s AccessPD Cohort is referred to in this document as a valuable resource for setting up research studies.

AccessPD: A Unique Approach to Evidence Generation

AccessPD is a novel decentralised registry and integrated clinical research platform that provides researchers with access to evidence that doesn’t exist in other databases.

NICE highlights AccessPD as a valuable data source to address the evidence gaps that exist with the use of these technologies in the NHS. 

Within the context of the outlined plan, AccessPD provides opportunities to immediately commence a longitudinal parallel cohort study, for the ongoing collection of data on the use of these technologies, from a pre-consented cohort of patients with a diagnosis of Parkinson’s Disease.

AccessPD allows:

  • Data beyond that routinely available: Participants within AccessPD are actively contributing data from their Electronic Medical Records (EMR), genetic tests, wearable devices used at-home and patient-reported outcome surveys. This provides access to a rich source of regulatory grade data which can then be augmented with the collection of additional custom data as required to answer specific research questions.

  • Immediate data collection: The AccessPD master protocol is ethics approved, so researchers can begin collecting data immediately.

  • Population-wide patient access: AccessPD comprises nearly 1000 pre-consented participants with a diagnosis of Parksinson’s Disease. The cohort is powered by uMed’s ACCESS Research Platform which is embedded across a vast network of healthcare institutions across the UK. This enables rapid and targeted identification of patients via their health record data, and engagement on behalf of their healthcare institution.
  • Dedicated Patient support: For Parkinson’s Disease patients, communication and technology may be a barrier to participation. AccessPD provides a dedicated patient support team that can help participants and carers through the study process. This leads to improved participation, and representation of a wider patient population.
  • Pre-consented, research ready patients: Upon invitation to the cohort, patients provide their consent to be re-contacted for the collection of additional data or participate in additional research studies. This means we can rapidly contact patients to collect additional data, without having to restart the recruitment and/or consent process from scratch.
  • Alleviate pressure on study budget and staff resource: uMed facilitates device delivery and remote training, as well as data collection and aggregation, which would otherwise need to be factored into resource and study budgets.

If you’d like to discuss how uMed’s AccessPD can provide access to the evidence required for your research project please contact our team at hello@umed.io.

uMed partners with the Global Parkinson’s Genetics Program (GP2) to address emerging research demands in Parkinson’s Disease

  • Genetic samples remotely collected as part of uMed’s AccessPD Cohort to contribute to the international GP2 Program. 
  • Analyses of samples will be linked back to the AccessPD Core clinical dataset (combining electronic health record data and patient reported outcomes), providing PD researchers with comprehensive resources.
  • AccessPD supports GP2’s mission to expand sample collection from groups traditionally  under-represented in PD genetics studies.

Cambridge, MA, June 18 – Healthcare evidence-generation and technology company uMed today announced they have entered into a partnership with the Global Parkinson’s Genetics Program (GP2) to support expansion of the international genetic initiative. uMed will be providing access to genetic samples collected as part of their AccessPD Cohort Study. 

The Aligning Science Across Parkinson’s (ASAP) initiative launched GP2 in 2019, building on previous funding efforts from The Michael J Fox Foundation for Parkinson’s Research (MJFF).  ASAP is a coordinated research initiative to advance targeted basic research for Parkinson’s disease (PD). ASAP is devoted to accelerating the pace of discovery and informing the path to a cure for PD through collaboration, research-enabling resources, and data sharing.  

AccessPD is a unique Cohort Study of patients diagnosed with PD, that remotely collects data from pre-consented patients at home and links with EMR and clinical data to build a comprehensive regulatory grade dataset that can be further augmented with custom endpoints. 

Under the announced agreement, uMed will be contributing anonymized genetic samples, remotely collected from consented participants within AccessPD.

GP2 will perform genetic analyses of the samples to feed into the program, and results will also be linked back to additional endpoints within the AccessPD clinical dataset including ePROs, eClinROs, EHR and device data.  

The ongoing collection of genetic samples is part of the AccessPD protocol. uMed observes on average a 72% completion rate of the saliva-based genetic tests sent to patients within the cohort, highlighting the formidable engagement of participants, and the strength of uMed’s ACCESS Cohort model to build patient communities and encourage participation and retention.

Dr Matt Wilson, CEO & Founder at uMed commented “We’re delighted to be contributing to the GP2 program and excited about the impact that this partnership will have on AccessPD and the future of Parkinson’s research. AccessPD already provides researchers with a comprehensive picture of the patient, and this partnership with GP2 allows us to expedite the expansion of this rich dataset.  It’s programs like AccessPD and GP2 that will be game changing to research in the future, and we are proud to be part of the process!”

In alignment with GP2’s mission to expand global genetics studies to include populations underrepresented in research, AccessPD’s unique decentralized approach will maximise the involvement of these populations in the program.

AccessPD is underpinned by uMed’s ACCESS Research Platform which is embedded across an expansive network of healthcare institutions across the US and UK, and allows for engagement with patients on behalf of the healthcare provider.  Combined with the remote collection of data from patients at home, this approach provides access to large patient populations, including those that would normally face economic, geographical and disease-related barriers.

Press release on prweb.com

Find out more about AccessPD here, or chat to our team to discover how AccessPD can support your research goals.

uMed announces the enrollment of 1000 patients into their AccessCMD Cardiometabolic Patient Cohort

uMed have announced the successful enrollment of 1000 participants into their AccessCMD Cardiometabolic Disease Cohort, just 2 months after the study launched in the UK.

The growth of AccessCMD within this time frame highlights the capability of uMed’s unique approach of patient identification and tailored engagement to rapidly build a database of pre-consented patients within specific disease areas.

AccessCMD provides researchers access to custom data and insights based on specific research criteria.

Unlike traditional registries that are static and do not allow for the collection of customised data, AccessCMD combines routinely collected EMR with outcomes collected directly from patients at-home including genetic tests, wearable device data and clinically validated scales.

This provides researchers with a rich source of regulatory grade data that can be further augmented with the collection of custom endpoints. Furthermore, AccessCMD enables the running of standalone studies within the infrastructure of the existing cohort.

The alarming rise in global prevalence of cardiometabolic disease, and the resulting economic and healthcare burdens associated with managing these chronic conditions, has prompted a surge of research into developing effective preventative and therapeutic measures.

In particular, the effectiveness of the GLP-1 receptor agonists has been hitting the headlines, with recent research highlighting the benefits of these drugs to significantly lower the risk of cardiovascular events.[1]

With these cardiometabolic disorders affecting an increasingly large proportion of the global population, there is demand for wide-scale research with groups that are representative of the entire population, allowing for a true understanding of these diseases and the impact of therapies and treatments. The challenge for researchers is finding a large enough group of patients that meet the very specific criteria to conduct robust studies.

uMed’s ACCESS Research Platform and AccessCMD protocol is embedded across a vast network of healthcare providers across the UK, providing access to a wide patient population and allowing for rapid identification of those with a diagnosis of cardiometabolic disease. Patients are sent tailored engagements, on behalf of their trusted healthcare provider, inviting them to participate in the Cohort, and are asked for their consent to be recontacted for additional research opportunities.

This unique approach, combined with fully remote data collection, mitigates biases that often arise in research due to factors such as patient location, socioeconomic circumstances, race, gender, and age. The result is the development of a diverse cohort of patients that can be rapidly and repeatedly contacted to collect additional data points as required.

AccessCMD continues to be offered to patients via their healthcare providers in the UK, and aims to launch in the US in by the end of 2024.

[1] https://www.clinicaltrials.gov/study/NCT03574597

uMed helps address critical evidence gaps in cardiometabolic disease research

  • uMed launches pioneering AccessCMD patient cohort facilitating access to custom data and insights to help accelerate cardiometabolic disease research
  • Cardiometabolic disease is now the leading cause of mortality globally and is placing a huge financial burden on healthcare systems and the economy
  • uMed have already recruited over 500 patients into the cohort, achieving over 15% consent rate from the first patient engagements sent, with significant potential for expansion across UK and US healthcare networks 

uMed has announced the successful enrollment of the first 500 UK participants into their groundbreaking AccessCMD cohort of patients with cardiometabolic disease.

AccessCMD will provide researchers with unique tools to access custom data and insights based on specific research criteria, to accelerate research and understanding across this group of conditions.

Cardiometabolic Disease encompasses a range of conditions including type 2 diabetes, stroke, hypertension, and congestive heart failure. It is now the number one cause of mortality across the globe, accounting for 31% of global deaths. [1] 

In the UK the NHS spends around £10 billion a year on type 2 diabetes, approximately 10% of its entire budget,[2] and it is estimated that £7.4 billion is being spent on healthcare related to CVD, with an annual cost to the wider economy of £15.8 billion.[3]

With the prevalence of cardiometabolic diseases on a sharp incline globally, research into this group of diseases is on the rise. 

Following the success of initial engagements sent to patients, which resulted in a 15% consent rate, uMed is now rolling out further engagements via their extensive UK healthcare provider network. 

uMed’s unique approach to patient identification, outreach, and consent, combined with fully decentralised data collection, mitigates biases that often arise in research due to factors such as patient location, socioeconomic circumstances, race, gender, and age.

‘The conversion rate we achieved from our first engagements is compelling; if we extrapolate this rate to the eligible patient population covered by our healthcare provider network in the UK, we’ll be able to offer thousands of patients the opportunity to participate in research and very quickly build a unique and rich source of information in Cardiometabolic Disease” commented Anil S. Jina, MD, Chief Medical Officer & President North America, at uMed.

Unlike traditional registries that are static and do not easily allow for the generation of custom data, AccessCMD enables re-engagement with patients that have already consented to participate in additional studies. This allows for the rapid collection of custom data that holds the answer to specific research questions, in the form of electronic health records, clinical outcomes, patient-reported outcomes and biosamples. 

Dr Mark Toshner, Consultant Respiratory Physician at the University of Cambridge, and AccesssPD Principal Investigator, commented “The potential that AccessCMD holds for research is extensive. The prevalence of these diseases has grown at a substantial rate over the past 20 years and the consequence is a huge burden on the populations’ health and our healthcare systems,  so there is much research to be done to understand the mechanisms contributing to these poor health outcomes.

“Conducting research at a large-scale with patient groups that represent the entire population is essential for developing a true understanding of the disease and underlying burden or unmet needs. The challenge for researchers is finding enough patients that meet the very specific criteria to conduct robust studies.’

“AccessCMD provides researchers with access to custom data to answer their key research questions, as and when required, and even enables the running of standalone studies within the infrastructure of the existing cohort. This will significantly expedite the development of understandings and treatments to reduce the burden of these diseases.”

The launch of AccessCMD follows the success of uMed’s inaugural AccessPD cohort study, which has so far recruited over 500 patients diagnosed with Parkinson’s Disease in the UK, 

Additionally, the company has recently begun the roll-out of engagements to patients with Interstitial Lung Disease, with nearly 100 patients in the UK now consented into their AccessILD cohort.

The swift succession of AccessCMD underscores the popularity of uMed’s Cohort Platform Studies amongst both patients and healthcare providers, highlighting the value for researchers within cardiometabolic disease and many more disease areas. 

Plans are underway to launch AccessPD, AccessILD and AccessCMD in the USA in 2024.

 

 

[1] https://www.roche.com/solutions/focus-areas/cardiometabolic

[2] https://www.england.nhs.uk/2022/03/nhs-prevention-programme-cuts-chances-of-type-2-diabetes-for-thousands/

[3] https://www.gov.uk/government/publications/health-matters-preventing-cardiovascular-disease/health-matters-preventing-cardiovascular-disease#:~:text=Yearly%20healthcare%20costs%20in%20England,economy%20of%20%C2%A315.8%20billion.

Manuscript: AccessPD as a next generation registry to accelerate Parkinson’s disease research

We are excited to share our first manuscript from AccessPD, co-authored by Dr. Yun Hsuan Chang from uMed and Professor Alastair Noyce from Queen Mary University of London, now published in the Nature Journal – NPJ Parkinson’s Disease.

Access the full publication here.

AccessPD represents a ‘next generation’ registry in Parkinson’s Disease, leveraging uMed’s ACCESS Research Platform to merge clinical outcomes from electronic health records with patient-reported outcomes directly from those within the AccessPD cohort.

The authors have adeptly presented the most common diagnoses before and after a Parkinson’s Disease diagnosis, the most commonly prescribed medications among the cohort, and identified participants who could potentially benefit from device-aided therapies using consensus criteria.

uMed helps researchers move closer to understanding Parkinson’s risk factors

uMed helps Queen Mary University of London and University College London move closer to understanding Parkinson’s risk factors as first-of-its-kind study exceeds 10,000 participant milestone

  • PREDICT-PD a joint study between Queen Mary University of London and University College London (UCL), and funded by Parkinson’s UK, has met its goal of enrolling more than 10,000 participants.
  • The research project, which identifies and engages people aged between 60 and 80 years old who did not have Parkinson’s, aims to identify those at high risk of the disease before symptoms appear.
  • uMed enrolled over 7,000 eligible participants through its network of 500 primary care group providers in the UK, and increased monthly enrollment by 275%.
  • Over one in 10 patients invited by uMed consented to participate, compared to the industry average patient consent rate of 3% for clinical research.
  • uMed’s involvement also led to the enrollment of a larger population of patients from ethnic minority groups, increasing diversity from ~3% to ~10% of the study’s total cohort.

LONDON, 14 February 2024: PREDICT-PD a groundbreaking research project, which aims to identify people at higher risk of Parkinson’s disease or before the symptoms appear, has exceeded its milestone of 10,000 participants.

uMed, the health and research technology company that has supported PREDICT-PD since March 2020, played a crucial role in expanding the study’s participant base through its network of over 500 primary care provider groups representing five million patients in the UK. It achieved this by linking aggregated health record data to pre-screen eligible participants, meaning it was able to rapidly engage 36,269 patients via text message on behalf of the patients’ healthcare providers, without imposing any additional workload.

By making the study accessible to a wider population and engaging only suitable patients, uMed has recruited over 7,000 participants to PREDICT-PD, increasing monthly enrollment by a staggering 275%. Over one in 10 patients invited by uMed on behalf of their recognised healthcare provider consented to participate in the study, which is a significant achievement given that only 2% of the population in England participates in clinical trials each year, underscoring uMed’s ability to engage a larger portion of the UK population in vital clinical research.

Professor Alastair Noyce, Consultant Neurologist and Researcher at Queen Mary University of London’s Wolfson Institute of Population Health, comments: “Our study was one of the first to focus on the earliest phases of Parkinson’s, offering critical insights into this stage of the disease, and recruitment has progressed at a pace we never expected. We are another step closer to understanding who in the general population might be more likely to be diagnosed with Parkinson’s and expedite the discovery of improved treatments and, ultimately, a cure for this debilitating condition.

“The success of the PREDICT-PD study demonstrates the impact of leveraging technology and the use of health record data to accelerate research. uMed’s ability to rapidly identify large populations of eligible participants using EHR, combined with automated communication sent on behalf of the patient’s healthcare provider, has meant we’ve seen a significant increase and speed in enrollment each month since working with them.”

Dr Katherine Fletcher, Research Communications Lead at Parkinson’s UK, comments: “This is one of several ground-breaking studies Parkinson’s UK is proud to be funding and we are delighted that there’s been such a positive take-up in research participation for PREDICT-PD.”

“We know Parkinson’s doesn’t discriminate. It is vital that research is representative of the whole Parkinson’s community, something that currently is not the case. Having a wider pool of the UK population involved in clinical trials means we can ultimately learn more about the progression of Parkinson’s, speed up diagnosis and access to new and better treatments for all.”

Notably, uMed’s involvement has led to the enrollment of a large population of patients from ethnic minorities, increasing diversity of the study’s total cohort from 3% to 10%. Its technology enabled participating healthcare providers to move away from standardised patient outreach to individually tailor communications. By using Electronic Health Records (EHR) to segment cohorts into different subgroups, eligible patients could be targeted with bespoke messages or visuals, increasing participation of underrepresented groups.

Ethnic diversity is a vital issue in Parkinson’s research however people from minority backgrounds continue to be underrepresented. The large majority of UK participants are affluent, well-educated and white. This is currently reflected in research not only in the UK but across Europe and North America It means understanding the genetic basis, environmental risk factors, clinical manifestations and response to treatment is heavily biased, as described in Ethnic Variation in the Manifestation of Parkinson’s Disease, a paper co-authored by Professor Alastair Noyce.

Dr Matt Wilson, uMed’s founder and CEO, adds: “Despite a step change in awareness on the need for diverse participants, clinical trials in western health systems fail to reflect real world diversity. Particularly, there is limited evidence on the risk factors of Parkinson’s in Black, Asian and Hispanic populations but PREDICT-PD has clearly increased ethnic diversity and therefore the generalisability of its findings for the general UK population.

“The study team at Queen Mary University of London achieved this by targeting eligible participants, who identified as being from an ethnic minority, with images of ethnically diverse patients in study communications. Tailoring communications in this way resulted in a significant increase in the proportion of participants coming from a minority background.”

In addition to uMed’s collaboration with Professor Alastair Noyce on the PREDICT-PD study, he is also principal investigator on uMed’s ongoing observational study AccessPD, a next-generation patient registry supporting the development of better treatments for patients with Parkinson’s.

For more information about uMed and how the company is supporting Parkinson’s Disease research, please get in touch.