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      Cost-effectiveness of Cardiac Telerehabilitation With Relapse Prevention for the Treatment of Patients With Coronary Artery Disease in the Netherlands

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          Key Points

          Question

          Is cardiac telerehabilitation with relapse prevention cost-effective compared with center-based cardiac rehabilitation for the treatment of patients with coronary artery disease?

          Findings

          In this economic evaluation of data from 300 participants with coronary artery disease enrolled in the SmartCare-CAD randomized clinical trial, patients who received cardiac telerehabilitation with relapse prevention vs traditional center-based cardiac rehabilitation experienced comparable quality of life and nonsignificantly lower cardiac-associated health care costs and non–health care costs.

          Meaning

          This study found that cardiac telerehabilitation with relapse prevention was likely to be cost-effective compared with center-based cardiac rehabilitation and may be used as an alternative to center-based cardiac rehabilitation among patients with coronary artery disease.

          Abstract

          Importance

          Cardiac telerehabilitation (CTR) has been found to be a safe and beneficial alternative to traditional center-based cardiac rehabilitation (CR) and might be associated with higher participation rates by reducing barriers to CR use. However, implementation of CTR interventions remains low, which may be owing to a lack of cost-effectiveness analyses of data from large-scale randomized clinical trials.

          Objective

          To assess the cost-effectiveness of CTR with relapse prevention compared with center-based CR among patients with coronary artery disease.

          Design, Setting, and Participants

          This economic evaluation performed a cost-utility analysis of data from the SmartCare-CAD (Effects of Cardiac Telerehabilitation in Patients With Coronary Artery Disease Using a Personalized Patient-Centred ICT Platform) randomized clinical trial. The cost-effectiveness and utility of 3 months of cardiac telerehabilitation followed by 9 months of relapse prevention were compared with the cost-effectiveness of traditional center-based cardiac rehabilitation. The analysis included 300 patients with stable coronary artery disease who received care at a CR center serving 2 general hospitals in the Netherlands between May 23, 2016, and July 26, 2018. All patients were entering phase 2 of outpatient CR and were followed up for 1 year (until August 14, 2019). Data were analyzed from September 21, 2020, to September 24, 2021.

          Intervention

          After baseline measurements were obtained, participants were randomly assigned on a 1:1 ratio to receive CTR (intervention group) or center-based CR (control group) using computerized block randomization. After 6 supervised center-based training sessions, patients in the intervention group continued training at home using a heart rate monitor and accelerometer. Patients uploaded heart rate and physical activity data and discussed their progress during a weekly video consultation with their physical therapist. After 3 months, weekly coaching was concluded, and on-demand coaching was initiated for relapse prevention; patients were instructed to continue using their wearable sensors and were contacted in cases of nonadherence to the intervention or reduced exercise or physical activity volumes.

          Main Outcomes and Measures

          Quality-adjusted life-years were assessed using the EuroQol 5-Dimension 5-Level survey (EQ-5D-5L) and the EuroQol Visual Analogue Scale (EQ-VAS), and cardiac-associated health care costs and non–health care costs were measured by health care consumption, productivity, and informal care questionnaires (the Medical Consumption Questionnaire, the Productivity Cost Questionnaire, and the Valuation of Informal Care Questionnaire) designed by the Institute for Medical Technology Assessment. Costs were converted to 2020 price levels (in euros) using the Dutch consumer price index (to convert to US dollars, euro values were multiplied by 1.142, which was the mean exchange rate in 2020).

          Results

          Among 300 patients (266 men [88.7%]), the mean (SD) age was 60.7 (9.5) years. The quality of life among patients receiving CTR vs center-based CR was comparable during the study according to the results of both utility measures (mean difference on EQ-5D-5L: −0.004; P = .82; mean difference on EQ-VAS: −0.001; P = .92). Intervention costs were significantly higher for CTR (mean [SE], €224 [€4] [$256 ($4)]) compared with center-based CR (mean [SE], €156 [€5] [$178 ($6)]; P < .001); however, no difference in overall cardiac health care costs was observed between CTR (mean [SE], €4787 [€503] [$5467 ($574)] and center-based CR (mean [SE], €5507 [€659] [$6289 ($753)]; P = .36). From a societal perspective, CTR was associated with lower costs compared with center-based CR (mean [SE], €20 495 [€ 2751] [$23 405 ($3142)] vs €24 381 [€3613] [$27 843 ($4126)], respectively), although this difference was not statistically significant (−€3887 [−$4439]; P = .34).

          Conclusions and Relevance

          In this economic evaluation, a CTR intervention with relapse prevention was likely to be cost-effective compared with center-based CR, suggesting that CTR maybe used as an alternative intervention for the treatment of patients with coronary artery disease. These results add to the evidence base in favor of CTR and may increase the implementation of CTR interventions in clinical practice.

          Abstract

          This economic evaluation assesses the cost-effectiveness of a cardiac telerehabilitation intervention incorporating relapse prevention compared with a traditional center-based cardiac rehabilitation program among patients with coronary artery disease in the Netherlands.

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          Most cited references34

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          World Medical Association Declaration of Helsinki: ethical principles for medical research involving human subjects.

          (2013)
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            2019 ESC Guidelines for the diagnosis and management of chronic coronary syndromes

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              Modeling valuations for EuroQol health states.

              Paul Dolan (1997)
              It has become increasingly common for preference-based measures of health-related quality of life to be used in the evaluation of different health-care interventions. For one such measure, The EuroQol, designed to be used for these purposes, it was necessary to derive a single index value for each of the 243 health states it generates. The problem was that it was virtually impossible to generate direct valuations for all of these states, and thus it was necessary to find a procedure that allows the valuations of all EuroQol states to be interpolated from direct valuations on a subset of these. In a recent study, direct valuations were elicited for 42 EuroQol health states (using the time trade-off method) from a representative sample of the UK population. This article reports on the methodology that was adopted to build up a "tariff" of EuroQol values from this data. A parsimonious model that fits the data well was defined as one in which valuations were explained in terms of the level of severity associated with each dimension, an intercept associated with any move away from full health, and a term that picked up whether any dimension in the state was at its most severe level. The model presented in this article appears to predict the values of the states for which there are direct observations and, thus, can be used to interpolate values for the states for which no direct observations exist.
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                Author and article information

                Journal
                JAMA Netw Open
                JAMA Netw Open
                JAMA Network Open
                American Medical Association
                2574-3805
                2 December 2021
                December 2021
                2 December 2021
                : 4
                : 12
                : e2136652
                Affiliations
                [1 ]Vitality Center, Máxima Medical Center, Eindhoven/Veldhoven, Veldhoven, the Netherlands
                [2 ]Department of Cardiology, Máxima Medical Center, Eindhoven/Veldhoven, Veldhoven, the Netherlands
                [3 ]Department of Biomedical Data Sciences, Medical Decision-Making Unit, Leiden University Medical Center, Leiden, the Netherlands
                [4 ]Department of Industrial Design, Eindhoven University of Technology, Eindhoven, the Netherlands
                [5 ]Department of Human-Centered Design, Faculty of Industrial Design Engineering, Delft University of Technology, Delft, the Netherlands
                Author notes
                Article Information
                Accepted for Publication: October 5, 2021.
                Published: December 2, 2021. doi:10.1001/jamanetworkopen.2021.36652
                Open Access: This is an open access article distributed under the terms of the CC-BY License. © 2021 Brouwers RWM et al. JAMA Network Open.
                Corresponding Author: Rutger W. M. Brouwers, MD, Department of Cardiology, Máxima Medical Center, Eindhoven/Veldhoven, De Run 4600, Postbus 7777, 5500 MB Veldhoven, the Netherlands ( r.brouwers@ 123456mmc.nl ).
                Author Contributions: Dr Brouwers and Ms van der Poort had full access to all of the data in the study and take responsibility for the integrity of the data and the accuracy of the data analysis. Dr Brouwers and Ms van der Poort shared first authorship.
                Concept and design: Brouwers, Kemps, Kraal.
                Acquisition, analysis, or interpretation of data: Brouwers, van der Poort, Kemps, van den Akker-van Marle.
                Drafting of the manuscript: Brouwers, van der Poort.
                Critical revision of the manuscript for important intellectual content: van der Poort, Kemps, van den Akker-van Marle, Kraal.
                Statistical analysis: van der Poort, van den Akker-van Marle.
                Obtained funding: Kemps.
                Supervision: Brouwers, Kemps, van den Akker-van Marle, Kraal.
                Conflict of Interest Disclosures: None reported.
                Funding/Support: This study was part of the SmartCare Project, which was partially funded by grant 325158 from the Information and Communication Technologies Policy Support Programme.
                Role of the Funder/Sponsor: The funding organization had no role in the design and conduct of the study; collection, management, analysis, and interpretation of the data; preparation, review, or approval of the manuscript; and decision to submit the manuscript for publication.
                Article
                zoi211036
                10.1001/jamanetworkopen.2021.36652
                8640894
                34854907
                d7542500-5873-4b8a-a7b0-ec951e9f4939
                Copyright 2021 Brouwers RWM et al. JAMA Network Open.

                This is an open access article distributed under the terms of the CC-BY License.

                History
                : 21 June 2021
                : 5 October 2021
                Categories
                Research
                Original Investigation
                Online Only
                Cardiology

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