ACCESS Cohort Studies AccessCMD

AccessCMD

An Interactive Cardiometabolic Disease registry with research-consented patients

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90%

Prospective data completion

Access 10 million+ patients

Fill gaps in RWE with patient generated data on experiences, motivations and outcomes

AccessCMD addresses specific evidence gaps within Cardiometabolic Disease research by allowing teams to build datasets that combine the power of electronic health records with clinical and patient generated data.

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Research that’s accessible to everyone

For Patients

Participation from home removes the physical, cost & time burden of traveling to a site
Offers research opportunities that may otherwise be inaccessible
Provided with insights and feedback on the impact of their participation
Patient Services team available to support their participation

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For Healthcare Providers

Generate funding for research
Minimize the lengthy process of initiating enrollment in person
Make your grant applications more competitive
Give patients access to low burden studies from the comfort of their home

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For Life Science Researchers

Access well characterized consented patient cohorts
Reach untapped patient populations
Answer new research questions at speed, without setting up from scratch
Build credible clinical evidence from ethics committee/IRB approved protocol programs
Access exclusive real-time integrated clinical and patient outcome data

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Build a complete picture from comprehensive, regulatory approved data

EMR data

Routinely collected from integration with our network of healthcare providers

Patient generated data

ePROS & home-testing

Clinical data

Objectively measurable parameters, clinician diagnoses, & objective movement data

Rapid data collection of real-world patient outcomes, comparative treatment effectiveness & digital endpoints

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Core Clinical Dataset

Baseline dataset collected every 6 months

Patient Profile

Demographics (incl. ethnicity)
Date of diagnosis
Comorbidities
Symptom onset
Current symptoms
Caregiver burden
Family & social history

Treatment Journey

Medication codes
Duration & switching

Patient Outcomes

HRQoL (EQ-5D-5L, KCCQ)
Sleep disturbance (Jenkins Sleep Scale (JSS))
Anxiety (Anxiety Disorder 2-item (GAD-2))
Treatment AEs (FACIT Item GP5)

Customizable Dataset

Fit-for-purpose endpoints collected upon request

Clinical Outcome Measures

CV events (MI, stroke)
Lipid levels (LDL, HDL, Triglyceride)
HbA1c
Renal function (eGFR, albuminuria)
Hemoglobin levels
BMI
Weight change
Fracture incidence

Patient Reported Outcomes

Customised survey (type of physical activity, side effects, appetite sensations, acceptability)
Treatment satisfaction & QoL (TSQM, WR-QoL)
Cognition (MoCa, MMSE)
Depression (PHQ-9)
Patient diary (eating disorders, diet and exercise)

Digital Endpoints & Objective Tests

Caloric intake (app-based)
Resting metabolic rate
Continuous ECG monitoring (Zio patch)
Bone mineral density (DEXA home scan)
Glycaemic variability (CGM)
Continuous hemoglobin monitoring
CRP, TNF-A, IL-6
Fat/lean mass (Calipers)
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Answers key research questions with rapid access to custom data & insights

Longitudinal clinical and patient-reported data collection, builds a rich core clinical dataset.

This can be further augmented with the rapid collection of additional data from pre-consented patients within the cohort.

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