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Updated: Mar 31, 2026
A Novel Digital Platform for a Monitored Home-based Cardiac Rehabilitation Program
Published on: April 19, 2019
Development of evidence-based clinical algorithms for prescription of exercise-based cardiac rehabilitation
R J Achttien1, T Vromen2, J B Staal3,4
1Radboud Institute for Health Sciences, Radboud University Medical Center, IQ healthcare, Geert Grooteplein 21, 6500 HB, Nijmegen, The Netherlands. Retze.Achttien@gmail.com.
Insights
Clinical algorithms were developed to simplify exercise-based cardiac rehabilitation (CR) for patients with coronary artery disease (CAD) and chronic heart failure (CHF), aiming to improve guideline adherence and treatment effectiveness.
Area of Science:
- Cardiology
- Exercise Physiology
- Clinical Practice Guidelines
Background:
- Exercise-based cardiac rehabilitation (CR) guideline adherence is challenging due to complex, numerous guidelines not tailored for prescribers.
- Current guidelines lack specific, actionable tools for healthcare professionals designing CR programs.
Purpose of the Study:
- To develop clinical algorithms for the prescription and evaluation of exercise-based CR.
- To create practical tools for patients with coronary artery disease (CAD) and chronic heart failure (CHF).
Main Methods:
- Systematic review and prioritization of Dutch and European CR guidelines and position statements.
- Selection of training goals requiring a differentiated approach.
- Identification of key variables for training intensity, modalities, volume, and evaluation.
Main Results:
- Five algorithms for CAD patients and five for CHF patients were developed.
- Algorithms are based on three Dutch guidelines and three European position statements.
- The algorithms address five distinct training goals.
Conclusions:
- Evidence-based clinical algorithms for exercise-based CR in CAD and CHF patients are presented.
- These algorithms aim to enhance guideline adherence and the effectiveness of CR.
- The tools are designed for practical application in clinical settings.
Background:
Guideline adherence with respect to exercise-based cardiac rehabilitation (CR) is hampered by a large variety of complex guidelines and position statements, and the fact that these documents are not specifically designed for healthcare professionals prescribing exercise-based CR programs. This study aimed to develop clinical algorithms that can be used in clinical practice for prescription and evaluation of exercise-based CR in patients with coronary artery disease (CAD) and chronic heart failure (CHF).
Methods:
The clinical algorithms were developed using a systematic approach containing four steps. First, all recent Dutch and European cardiac rehabilitation guidelines and position statements were reviewed and prioritised. Second, training goals requiring a differentiated training approach were selected. Third, documents were reviewed on variables to set training intensity, modalities, volume and intensity and evaluation instruments. Finally, the algorithms were constructed.
Results:
Three Dutch guidelines and three European position statements were reviewed. Based on these documents, five training goals were selected and subsequently five algorithms for CAD patients and five for CHF patients were developed.
Conclusions:
This study presents evidence-based clinical algorithms for exercise-based CR in patients with CAD and CHF according to their training goals. These algorithms may serve to improve guideline adherence and the effectiveness of exercise-based CR.
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