Kerman University of Medical Sciences International Journal of Health Policy and Management 2322-5939 11 10 2022 10 01 Attributes Underlying Patient Choice for Telerehabilitation Treatment: A mixed-Methods Systematic Review to Support a Discrete Choice Experiment Study Design 1991 2002 4158 10.34172/ijhpm.2021.150 EN Lucien P. Coulibaly Université de Sherbrooke, Sherbrooke, QC, Canada Centre de Recherche sur le Vieillissement, Sherbrooke, QC, Canada 0000-0002-6922-1325 Thomas G. Poder Département de Gestion, Évaluation et Politique de Santé, École de santé publique de l'Université de Montréal, Montréal, QC, Canada Centre de recherche de l'Institut universitaire en santé mentale de Montréal, Montréal, QC, Canada 0000-0001-7017-096X Michel Tousignant Université de Sherbrooke, Sherbrooke, QC, Canada Centre de Recherche sur le Vieillissement, Sherbrooke, QC, Canada Journal Article 2021 01 03 Background Across most healthcare systems, patients are the primary focus. Patient involvements enhance their adherence to treatment, which in return, influences their health. The objective of this study was to determine the characteristics (ie, attributes) and associated levels (ie, values of the characteristics) that are the most important for patients regarding telerehabilitation (TR) healthcare to support a future discrete choice experiment (DCE) study design. Methods A mixed-methods systematic review was conducted from January 2005 to the end of July 2020 and the search strategy was applied to five different databases. The initial selection of articles that met the eligibility criteria was independently made by one researcher, two researchers verified the accuracy of the extracted data, and all researchers discussed about relevant variables to include. Reporting of this systematic review followed the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) guidelines and the Mixed Methods Appraisal Tool (MMAT) was used to assess the quality of the study. A qualitative synthesis was used to summarize findings. Results From a total of 928 articles, 11 (qualitative [n = 5], quantitative [n = 3] and mixed-methods [n = 3] design) were included, and 25 attributes were identified and grouped into 13 categories: Accessibility, Distance, Interaction, Technology experience, Treatment mode, Treatment location, Physician contact mode, Physician contact frequency, Cost, Confidence, Ease of use, Feeling safer, and Training session. The attributes levels varied from two to five. The DCE studies identified showed the main stages to undertake these types of studies. Conclusion This study could guide the development of interview grid for individual interviews and focus groups to support a DCE study design in the TR field. By understanding the characteristics that enhance patients’ preferences, healthcare providers can create or improve TR programs that provide high-quality and accessible care. Future research via a DCE is needed to determine the relative importance of the attributes.

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