+1 877 705 1914• 24 / 7
HIPAA Compliant
ISO 27001 Certified

Actively Recruiting

Phase Not Applicable
Age: 18Years - 64Years
All Genders
ID07441603

Evaluating a Tailored Digital Program to Reduce Smoking, Alcohol Use, Diet, and Physical Activity Risks in Hospital Patients Aged 18 to 64

Led by University Medicine Greifswald · Updated on 2026-07-02

788

Participants Needed

1

Research Sites

N/A

Total Duration

AI-Summary

What this Trial Is About

Researchers are evaluating the effectiveness of a digital behavior change program called the Proactive Automatised Lifestyle intervention PAL in hospital patients aged 18 to 64. This trial focuses on reducing multiple health risk behaviors including tobacco smoking, alcohol use, unhealthy diet, and low physical activity. The study aims to understand how well this intervention works over two years and whether it works differently in various patient subgroups. Participants are randomly assigned to either the intervention group or a control group. The intervention group receives individualized, theory-based feedback tailored to their readiness to change, delivered online at baseline, month 1, and month 3. The control group receives routine care with minimal assessments. The intervention consists of three contacts over three months, providing feedback about up to four health risk behaviors to motivate change. Throughout the 24-month study, participants complete follow-up assessments at months 6, 12, and 24 to report on changes in smoking, alcohol use, diet, and physical activity. Researchers also measure mental and general health, motivation to change, and healthcare utilization. The study collects data through self-reports and uses advanced modeling to evaluate the effectiveness of the intervention in promoting healthier lifestyles and preventing non-communicable diseases.

CONDITIONS

Brief Title

Efficacy of the Proactive Automatized Lifestyle Intervention

Research Team

J

Jennis Freyer-Adam, Prof.

A

Anne Moehring, Dr.

Not the Right Trial for You?

Explore thousands of other clinical trials that might be a better match.
Sign up to get personalized trial recommendations delivered to your inbox.

Already have an account? Log in here