Abstract
Motivation is an important factor in encouraging individuals to attend rehabilitation and underpins many approaches to engagement. The aims of this study were to develop an accurate model able to predict individual intention to engage in outpatient cardiac rehabilitation (CR) programs based on the first stage of the Model of Therapeutic Engagement integrated into a socio-environmental context. The cross-sectional study in the cardiology ward of an Australian hospital included a total of 217 individuals referred to outpatient CR. Through an ordinal logistic regression, the effect of random forest (RF)-selected profile features on individual intention to engage in outpatient CR was explored. The RF based on the conditional inference trees predicted the intention to engage in outpatient CR with high accuracy. The findings highlighted the significant roles of individuals’ ‘willingness to consider the treatment’, ‘perceived self-efficacy’ and ‘perceived need for rehabilitation’ in their intention, while the involvement of ‘barriers to engagement’ and ‘demographic and medical factors’ was not evident.
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Sepideh Jahandideh, Mina Jahandideh, Ebrahim Barzegari declare that they have no conflict of interest.
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All procedures performed in studies involving human participants were in accordance with the ethical standards of the institutional and/or national research committee (Gold Coast Hospital and Health Service Human Research Ethics Committee (Reference number HREC/16/QGC/329)) and with the 1964 Helsinki declaration and its later amendments or comparable ethical standards.
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Jahandideh, S., Jahandideh, M. & Barzegari, E. Individuals’ Intention to Engage in Outpatient Cardiac Rehabilitation Programs: Prediction Based on an Enhanced Model. J Clin Psychol Med Settings 28, 798–807 (2021). https://doi.org/10.1007/s10880-021-09771-7
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DOI: https://doi.org/10.1007/s10880-021-09771-7