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Updated: Sep 11, 2025
A Novel Digital Platform for a Monitored Home-based Cardiac Rehabilitation Program
Published on: April 19, 2019
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.
Background:
Return to work (RTW) after cardiovascular diseases (CVDs) is crucial to mitigating the societal and economic burden of productivity losses. This review of reviews explores common and disease-specific predictors of RTW within the framework of the International Classification of Functioning, Disability, and Health (ICF).
Methods:
A systematic review of systematic reviews was conducted to identify both common and disease-specific predictors of RTW for individuals with cardiovascular diseases (CVDs), including acute coronary syndrome (ACS), chronic coronary artery disease (CCAD), heart failure (HF), and stroke. Predictors were analysed across contextual domains (personal and environmental factors) and functional domains (body structure, body function, activities, and participation). The methodological quality of the included reviews was evaluated using the AMSTAR-2 tool.
Results:
A total of 28 reviews were included. Key common predictors included functional capacity, psychological well-being, work characteristics and social support, while disease-specific predictors involved the severity of disease and treatment characteristics. Modifiable factors, such as workplace accommodation and psychological challenges, were identified as critical targets for intervention.
Conclusions:
Early identification of at-risk individuals and the integration of personalized rehabilitation strategies are critical for improving RTW outcomes and health-related quality of life. This review enhances the understanding of RTW predictors, contributing to optimized rehabilitation processes and reduced economic burden associated with CVDs. Future research should investigate the clinical applicability of these findings and explore the broader application of these common RTW predictors across other chronic conditions, to inform vocational reintegration strategies. (Word count: 238).
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