A randomised controlled trial of providing personalised cardiovascular risk information to modify health behaviour

Leah L Zullig1, Linda L Sanders, Ryan J Shaw

  • 1Center for Health Services Research in Primary Care, Durham Veterans Affairs Medical Center, Durham, USA.

Insights

A web-based cardiovascular disease (CVD) intervention showed modest engagement but no significant clinical improvements compared to usual care. Human interaction remains crucial for CVD risk communication and decision-making support.

Area of Science:

  • Digital Health
  • Cardiovascular Disease Prevention
  • Health Behavior Change

Background:

  • Cardiovascular disease (CVD) poses a significant public health challenge.
  • Web-based interventions offer a scalable approach to deliver health information and support behavior change.
  • Personalized risk information and tailored strategies are key components for effective CVD prevention.

Purpose of the Study:

  • To assess the feasibility of a web-based intervention for cardiovascular disease (CVD) risk reduction.
  • To evaluate participant engagement and clinical outcomes of a self-guided online program.
  • To explore the role of web-administered interventions in managing CVD risk factors.

Main Methods:

  • A feasibility study utilizing block randomization comparing a 3-month web-based intervention to usual care.
  • Intervention group received personalized CVD risk assessment (Framingham risk score) and access to six self-guided behavioral/lifestyle modules.
  • Engagement measured by module completion; clinical outcomes assessed for blood pressure, BMI, CVD risk, smoking cessation, and medication adherence.

Main Results:

  • Most intervention participants (77%) completed all modules, indicating good engagement with the self-guided format.
  • No significant differences were observed between the intervention and usual care groups in systolic blood pressure, BMI, CVD risk, smoking cessation, or medication adherence after 3 months.
  • The study demonstrated that entirely web-administered interventions can achieve modest clinical improvements.

Conclusions:

  • Web-based interventions are feasible for delivering CVD risk information and behavioral strategies.
  • While engagement can be high, current web-based models may not fully replace the need for human interaction in CVD risk communication and decision support.
  • Further research is needed to optimize web-based interventions for greater clinical impact in cardiovascular disease prevention.

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