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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 travelling 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 Life Science Researchers

  • Access well characterised 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/REC approved protocol programmes

  • Access exclusive real-time integrated clinical and patient outcome data

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For Healthcare Providers

  • Support better access to research for your patients

  • No additional workload for your or your practice staff

  • uMed’s support team alleviates any pressure of calls to your practice regarding study participation

  • Generate ongoing revenue to support your practice

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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)

Customisable Dataset

Fit-for-purpose endpoints are 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)
  • Step counter

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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