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Updated: Sep 11, 2025
04:24
A Novel Digital Platform for a Monitored Home-based Cardiac Rehabilitation Program
Published on: April 19, 2019
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Common Predictors of Return To Work across Cardiovascular Diseases.
Ellen Tisseghem1,2, Zoë Vandamme1,2, Elvi Lemmens3
1Research Centre for Digital Medicine, Vrije Universiteit Brussel, Brussels, Belgium.
European Journal of Preventive Cardiology
|August 14, 2025
Summary
Returning to work after cardiovascular diseases is vital. Key predictors include functional capacity, psychological well-being, and work factors, with modifiable elements like workplace support offering intervention targets for better outcomes.
Area of Science:
- Cardiovascular Diseases Research
- Occupational Health
- Rehabilitation Science
Background:
- Return to work (RTW) post-cardiovascular diseases (CVDs) is essential for economic and societal well-being.
- Understanding predictors of RTW is key to reducing productivity losses.
- The International Classification of Functioning, Disability, and Health (ICF) framework guides predictor analysis.
Purpose of the Study:
- To systematically review and identify common and disease-specific predictors of RTW in individuals with CVDs.
- To analyze predictors within the ICF framework's contextual and functional domains.
- To evaluate the methodological quality of existing systematic reviews on CVD RTW predictors.
Main Methods:
- A systematic review of systematic reviews was performed.
- Included CVDs: acute coronary syndrome (ACS), chronic coronary artery disease (CCAD), heart failure (HF), and stroke.
- AMSTAR-2 tool used for quality assessment of included reviews.
Main Results:
- 28 reviews were included in the analysis.
- Common predictors: functional capacity, psychological well-being, work characteristics, social support.
- Disease-specific predictors: disease severity, treatment characteristics. Modifiable factors like workplace accommodation are key targets.
Conclusions:
- Early identification of at-risk individuals and personalized rehabilitation are crucial for improving RTW.
- Findings enhance understanding of RTW predictors, optimizing rehabilitation and reducing economic burden.
- Future research should explore clinical applicability and broader use of predictors in chronic conditions.
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