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Healthy Living With Online suPport & Education for Cardiovascular Disease in the Primary Care Setting

Effectiveness of Risk Communication Tools and Digital Behaviour Change Platforms to Prevent Cardiovascular Disease in Primary Care: A Cluster Randomised Controlled Trial

Status
Recruiting
Phases
NA
Study type
Interventional
Source
ClinicalTrials.gov
Registry ID
NCT06099353
Acronym
HOPE-CVD-GP
Enrollment
1500
Registered
2023-10-25
Start date
2024-01-18
Completion date
2024-10-30
Last updated
2024-05-14

For informational purposes only — not medical advice. Sourced from public registries and may not reflect the latest updates. Terms

Conditions

Cardiovascular Diseases (CVD)

Keywords

Primary prevention, Digital health, Genetic risk, Phenotypic risk, Quality of life, Lipids

Brief summary

This pragmatic four-arm (1:1:1:1) parallel cluster randomised controlled trial (cRCT) aims to evaluate the effectiveness of reducing the risk of cardiovascular disease (CVD) through three combinations of interventions for individuals at risk of CVD in the primary care setting in Singapore. These interventions are a) communicating an individual's phenotypic risk of CVD, b) a digital psychoeducation application (Heart Age-HOPE-CVD app) that supports health-promoting behavioural change, and c) communicating an individual's genetic risk of CVD. Our study hypothesis is that the exposure of these three interventions will have additive effects on the primary and secondary objectives. The primary objective of our study is to evaluate the impact of each intervention arm compared to usual care (Arm 1) on the risk for CVD, using change in low-density lipoprotein cholesterol (LDL) measurements as the outcome measure. The secondary objective is to evaluate the impact of each intervention arm compared to usual care (Arm 1) on the following: (a) individual CVD risk factors (i.e. blood pressure, total cholesterol, high-density lipoprotein, body mass index, smoking status, fasting blood glucose or glycated haemoglobin, diagnosis of diabetes, triglycerides level), (b) risk for CVD (i.e., estimated using the Framingham Risk Score), (c) health-related quality of life and well-being, and (d) practice of health-promoting behaviours. The Heart Age-HOPE-CVD app is a 6-month interventional programme. Hence, the effects of the interventions will be evaluated after a 6-month period. Patients will be recruited by general practitioners (GPs) at primary care clinics around Singapore. After obtaining informed consent at baseline, patients' data will be collected at four time points: baseline, mid-intervention at week 6, post-intervention health screening at week 24 and post-intervention at week 26. All data collection will be conducted at the primary care clinic, except for mid-intervention data which will be collected via an online form.

Interventions

BEHAVIORALHeart Age

Heart Age is the phenotypic age based on the risk of the patient participant using a modified tool for CVD risk from the Framingham risk Score. The Heart Age is the age at which an individual would be expected to develop CVD in the next ten years relative to another individual of the same sex and age if all the current CVD risk factors were to be eliminated.

BEHAVIORALHeart Age-HOPE-CVD App

Patient participants will use an online mobile, evidence-based behavioural change psychoeducation application for 24 weeks. New psychoeducational content is released every week. The first seven weeks of the programme seeks to resolve ambivalence about initiating a lifestyle change and increase the readiness and motivation to change. Between Weeks 8 and 15, the platform will support action planning and guide users to execute their preferred self-care behaviour safely and effectively. The remaining nine weeks will provide the user with the skills that will help them with coping and planning to manage relapses and temptations.

BEHAVIORALCommunication of Genetic Risk Score

General practitioners will draw 3ml of blood from each patient participant for analysis of the patient's genetic risk score of having cardiovascular disease. This genetic risk score will be communicated to the patient, and the communication will include informing patients what cardiovascular disease genetic risk is, what their genetic risk category compared to the population in Singapore is, and what their score means for the future.

Sponsors

National University of Singapore
CollaboratorOTHER
National University Health System, Singapore
CollaboratorOTHER
Nanyang Technological University
Lead SponsorOTHER

Study design

Allocation
RANDOMIZED
Intervention model
PARALLEL
Primary purpose
PREVENTION
Masking
NONE

Eligibility

Sex/Gender
ALL
Age
30 Years to 74 Years
Healthy volunteers
Yes

Inclusion criteria

* Age 30-74 * Based in Singapore for the duration of study participation (i.e., 6 months) * Able to read and understand English * Have access to and is comfortable using a smartphone * For patients with diabetes, their LDL has to be at least 2.6 mmol/L * For patients without diabetes, their LDL has to be at least 3.4 mmol/L

Exclusion criteria

* Have existing heart disease diagnosis or a prior history of any of the following: Angina, Cardiac arrhythmia, Coronary artery disease, Heart failure, Myocardial infarction, Peripheral vascular disease, Revascularisation, Stroke, Transient ischaemic attack * Patients diagnosed with chronic kidney disease: i.e., eGFR \<60ml/min/1.73㎡ OR uACR ≥ 3mg/mmol (30mg/g) OR uPCR \>15mg/mmol (150mg/g) * Patients with serious mental illness (i.e., require assistance in daily activities due to the mental illness) * Pregnant or planning to be pregnant in the next six months * Unable to give informed consent * Diagnosed with a terminal illness or expected life expectancy of less than 12 months * Patients with triglyceride levels of ≥ 4.5 mmol/L * Patients on chemotherapy course during the study or less than one month prior to participating in the study * Patients on long-term oral steroids * Patients who are already involved in other HOPE studies (e.g. HOPE-Virtual study)

Design outcomes

Primary

MeasureTime frameDescription
Change in low density lipoproteinWeek 0 and Week 24Low-density lipoprotein cholesterol will be measured and compared between the measurements at baseline and post-intervention health screening.

Secondary

MeasureTime frameDescription
Change in systolic blood pressureWeek 0 and from Week 24Systolic blood pressure will be measured and compared between the measurements at baseline and post-intervention health screening visits.
Change in fasting blood glucose or glycated haemoglobin measurementWeek 0 and from Week 24The fasting blood glucose or glycated haemoglobin will be measured and compared between the measurements at baseline and post-intervention health screening visits.
Change in total cholesterolWeek 0 and from Week 24Total cholesterol will be measured and compared between the measurements at baseline and post-intervention health screening visits.
Change in high-density lipoprotein cholesterolWeek 0 and from Week 24High-density lipoprotein cholesterol will be measured and compared between the measurements at baseline and post-intervention health screening visits.
Change in body mass indexWeek 0 and from Week 24Body mass index (BMI) will be compared between the measurements at baseline and post-intervention health screening visits. BMI will be calculated by dividing weight in kilograms and the square of height in metres (kg/m2).
Change in 10-year predicted absolute risk of cardiovascular diseaseWeek 0 and from Week 24Patients' baseline and post-intervention 10-year predicted absolute cardiovascular disease risk will be calculated and compared by a version of the Framingham Risk Score, which is used in the Heart Age algorithm. The variables (i.e., age, total cholesterol, high-density lipoprotein cholesterol, diabetes prevalence, smoking status, systolic blood pressure, and prescription of anti-hypertensive medications) needed for this algorithm will be measured or obtained at the baseline and post-intervention health screening visits. These variables will be aggregated into a percentage score ranging from 0-100%, where a higher percentage indicates a higher 10-year predicted absolute risk of CVD. A reduction in the percentage score is a better outcome.
Change in diagnosis of diabetesWeek 0 and from Week 24The diagnosis of diabetes will be compared between baseline and post-intervention screening visits. The GP will ask the patient participant if she/he is a smoker at the baseline and post-intervention screening visits, and the GP will collect a Yes or No response.
Change in triglyceridesWeek 0 and from Week 24The triglycerides will be measured and compared between the measurements at baseline and post-intervention health screening visits.
Changes in health-promoting behavioursWeek 0, Week 6, and Week 24Health-promoting behaviours will be measured using self-reported questionnaires at baseline, 6 weeks, and 6 months to observe changes over the course of the study. This will be measured using the Readiness for Change questionnaire using a scale of 1 to 40, where a higher score indicates a better outcome.
Change in goal-directed behaviours for living wellWeek 0 and from Week 24Goal-directed behaviours for living well support a process-based approach to well-being which will be measured and compared between baseline and post-intervention follow-up visits using items in the EvalUationof goal-diRectedbehaviOurstoPromotewell-beIngandheAlth scale (Euroia-14). There are 18 items on the Euroia-14 that are separated into four sub-scales (i.e. Self-Affirmation, Social Affiliation, Social Roles and Responsibilities, and Eudemonic). All 18 items are scored between 1 and 4, with a higher score indicating a better outcome.
Change in health-related quality of lifeWeek 0 and from Week 24Health-related quality of life will be assessed and compared between baseline and post-intervention follow-up visits using the items from the validated instrument Short Form 36 version 2 (SF-36v2).
Change in smoking habitWeek 0 and from Week 24Smoking status will be compared between baseline and post-intervention screening visits. The GP will ask the patient participant if she/he is a smoker at the baseline and post-intervention screening visits, and the GP will collect a Yes or No response.

Countries

Singapore

Contacts

Primary ContactAloysius Chow
HOPE@ntu.edu.sg98263487
Backup ContactMei Li Ng
HOPE@ntu.edu.sg98263487

Outcome results

None listed

Source: ClinicalTrials.gov · Data processed: Feb 4, 2026