EligibleTrials

Implementation of Machine Learning and Hemodynamic Profiles Based Clinical Decision Support Systems for Personalized Guideline Accordant Antihypertensive Regimens in Primary Care: a Pragmatic Cluster Randomized Controlled Trial

Recruiting · NCT06828692 · Interventional (participants receive a specific treatment) · Lead sponsor: China National Center for Cardiovascular Diseases

View the official record on ClinicalTrials.gov →
Hypertension

Interventions studied

Group A (clinical guideline+machine learning)Group B (clinical guideline+impedance cardiograph+machine learning)Group C (usual care)

What this trial is about

This trial is a prospective, multicenter, single-blind, three-arm parallel-group, cluster randomized controlled trial assessing the effectiveness and safety of two types of CDSS in primary care settings in China. Primary care sites are randomized to one of the intervention arms or the control arm (1:1:1 ratio) using computer-generated random numbers stratified by region and administrative categories of the primary healthcare institutions (including community health centers, community health stations, and township health centers). A total of 51 primary care sites are randomized to three groups, with 17 sites assigned to group A (use a CDSS based on clinical guidelines and machine learning), 17 sites to group B (use a CDSS based on guidelines, hemodynamic parameters and ML), and the remaining 17 sites to the control group.

Who can take part

Age range
35 Years to 79 Years
Sex
All (male and female)
Healthy volunteers
No - a diagnosis or condition is required
Phase
Not applicable (e.g. observational or device study)
Study type
Interventional (participants receive a specific treatment)

Inclusion criteria

Exclusion criteria

Where it is running

1 location listed.

Read the full protocol, contacts and eligibility on ClinicalTrials.gov →

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