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Effects of Message Framing and Time Discounting on Health Communication for Optimum Cardiovascular Disease and Stroke Prevention

Effects of Message Framing and Time Discounting on Health Communication for Optimum Cardiovascular Disease and Stroke Prevention(EMT-OCSP): a Pragmatic,Multi-centre, Observer-blinded,12-month Randomised Controlled Study

Status
Completed
Phases
NA
Study type
Interventional
Source
ClinicalTrials.gov
Registry ID
NCT04450888
Acronym
EMT-OCSP
Enrollment
13114
Registered
2020-06-30
Start date
2020-07-01
Completion date
2022-01-22
Last updated
2022-03-10

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

Conditions

Cardiovascular Disease, Primary Prevention, Stroke

Brief summary

Effects of Message framing and Time discounting on heath communication for Optimum Cardiovascular disease and Stroke Prevention(EMT-OCSP)is a pragmatic, 2 × 2 factorial, randomized, controlled, observer blinded, multicenter trial with four parallel groups. It aims to determine if risk and intervention communication strategy(gain-framed versus loss-frame, long-term context versus short-term context and the potential interaction)have different effect on optimizing adherence to clinical preventive management (in the endpoint of CVD risk reduction)for subjects with at least one moldable risk factor for CVD.

Detailed description

Scientific title Effects of Message framing and Time discounting on health communication for Optimum Cardiovascular disease and Stroke Prevention(EMT-OCSP): a pragmatic randomised controlled study Principal Investigator Li He Study period 2020-07-01-2022-01-21 Hypotheses and aims When communicating cardiovascular disease(CVD)risk to individuals, different presentation of information carries its own connotations and biases. The one or the other pattern of the presentation may affect individuals' decision making.This study aims to determine if risk and intervention communication strategy(gain-framed versus loss-frame, long-term context versus short-term context and the potential interaction)have different effect on optimizing adherence to clinical preventive management (in the endpoint of CVD risk reduction)for subjects with at least one moldable risk factor for CVD. We aim to provide evidence for practitioners regarding messaging strategies that improve communication effectiveness and further reduce the risk of CVD events in the population, as well as to develop more effective communication strategies for groups of people with different characteristics to maximise patient adherence to lifestyle modifications and medical treatment. Primary outcome Ten-year CVD risk, lifetime CVD risk and CVD-free life expectancy after 1 year according to the LIFE-CVD model. Secondary outcomes CVD risk factors \[blood pressure(BP) and serum cholesterol, low-density lipoprotein (LDL), non-high-density lipoprotein (HDL), triglycerides and fasting glucose levels\],lifestyle factors (physical activity, tobacco use, alcohol use and eating habits), pharmacological treatments for hypertension, dyslipidaemia and diabetes, and anti-thrombotic drug prescriptions after 1 year. Study design The EMT-OCSP trial is designed as a pragmatic, 2 × 2 factorial, randomized, controlled, observer blinded, multicenter trial with four parallel groups. Randomization will be performed as block randomization with a 1:1:1:1 allocation. Study population and sample size Subjects with at least one moldable risk factor for CVD. The sample size calculations revealed that the enrolment of 15,000 participants would be sufficient, allowing for a 20% drop-out rate. Follow-up period One year

Interventions

OTHERThe strategic use of messages in risk communication

The interventions in the EMT-OCSP study are strategic health messages delivered (gain-framed vs.loss-framed and long-term vs.short-term contexts) to individuals based on their calculated CVD-free life expectancy and potential interventional benefits.

Sponsors

Centers for Disease Control and Prevention, China
CollaboratorOTHER_GOV
Beijing Tiantan Hospital
CollaboratorOTHER
First Affiliated Hospital of Chongqing Medical University
CollaboratorOTHER
China Stroke Databank Center
CollaboratorOTHER
West China Hospital
Lead SponsorOTHER

Study design

Allocation
RANDOMIZED
Intervention model
FACTORIAL
Primary purpose
PREVENTION
Masking
SINGLE (Outcomes Assessor)

Eligibility

Sex/Gender
ALL
Age
45 Years to 80 Years
Healthy volunteers
No

Inclusion criteria

* aged 45-80 years, * personally own and use a smartphone (Apple or Android platform) with Internet access, * and have at least one of the following CVD risk factors: history of CVD at age \< 60 years in a first-degree relative, smoking, diabetes, hypertension, and low-density lipoprotein (LDL)cholesterol ≥ 4.5 mmol/L.

Exclusion criteria

* participants with histories of CVD, heart failure, or chronic kidney disease (estimated glomerular filtration rate \< 30 mL/min/1.73m2); * those with terminal malignancy at baseline; * those with severe psychological or mental disorders * violation of the study protocol and participation in another clinical study during follow-up

Design outcomes

Primary

MeasureTime frame
10-year CVD riskAt the 1-year follow-up
Lifetime CVD riskAt the 1-year follow-up
CVD-free life expectancyAt the 1-year follow-up

Secondary

MeasureTime frameDescription
Changes in serum non-HDL levelAt the 1-year follow-up
Changes in serum triglycerides levelAt the 1-year follow-up
Changes in fasting glucose levelAt the 1-year follow-up
Changes in physical activity (International Physical Activity Questionnaire or International Physical Activity Questionnaire Short Version Modified for Elderly)At the 1-year follow-up
Changes in tobacco useAt the 1-year follow-upTobacco use status (current, former, never) in the records at visits
Changes in systolic and diastolic blood pressureAt the 1-year follow-up
Changes in dietary habits (food frequency questionnaire)At the 1-year follow-up
Changes adherence to pharmacological treatments for hypertension (proportion of persistent medication user)At the 1-year follow-upA persistent medication user is defined as a participant who has purchased the drug at least once during each 3-month interval during our study.
Changes adherence to pharmacological treatments for dyslipidaemia (proportion of persistent medication user)At the 1-year follow-up
Changes adherence to pharmacological treatments for diabetes (proportion of persistent medication user)At the 1-year follow-up
Changes adherence to anti-thrombotic therapy (proportion of persistent medication user)At the 1-year follow-up
Changes in alcohol use (AUDIT questionnaire)At the 1-year follow-up
Changes in serum cholesterol levelAt the 1-year follow-up
Changes in serum LDL levelAt the 1-year follow-up

Countries

China

Outcome results

None listed

Source: ClinicalTrials.gov · Data processed: Feb 15, 2026