Effects and costs of real-time cardiac telerehabilitation: randomised controlled non-inferiority trial
Open accessAbstract
Objective: Compare the effects and costs of remotely monitored exercise-based cardiac telerehabilitation (REMOTE-CR) with centre-based programmes (CBexCR) in adults with coronary heart disease (CHD). Methods: Participants were randomised to receive 12 weeks of telerehabilitation or centre-based rehabilitation. REMOTE-CR provided individualised exercise prescription, real-time exercise monitoring/coaching and theory-based behavioural strategies via a bespoke telerehabilitation platform; CBexCR provided individualised exercise prescription and coaching via established rehabilitation clinics. Outcomes assessed at baseline, 12 and/or 24 weeks included maximal oxygen uptake (V̇O 2 max, primary) modifiable cardiovascular risk factors, exercise adherence, motivation, health-related quality of life and programme delivery, hospital service utilisation and medication costs. The primary hypothesis was a non-inferior between-group difference in V̇O 2 max at 12 weeks (inferiority margin=−1.25 mL/kg/min); inferiority margins were not set for secondary outcomes. Results: 162 participants (mean 61±12.7 years, 86% men) were randomised. V̇O 2 max was comparable in both groups at 12 weeks and REMOTE-CR was non-inferior to CBexCR (REMOTE-CR-CBexCR adjusted mean difference (AMD)=0.51 (95% CI −0.97 to 1.98) mL/kg/min, p=0.48). REMOTE-CR participants were less sedentary at 24 weeks (AMD=−61.5 (95% CI −117.8 to −5.3) min/day, p=0.03), while CBexCR participants had smaller waist (AMD=1.71 (95% CI 0.09 to 3.34) cm, p=0.04) and hip circumferences (AMD=1.16 (95% CI 0.06 to 2.27) cm, p=0.04) at 12 weeks. No other between-group differences were detected. Per capita programme delivery (NZD1130/GBP573 vs NZD3466/GBP1758) and medication costs (NZD331/GBP168 vs NZD605/GBP307, p=0.02) were lower for REMOTE-CR. Hospital service utilisation costs were not statistically significantly different (NZD3459/GBP1754 vs NZD5464/GBP2771, p=0.20). Conclusion: REMOTE-CR is an effective, cost-efficient alternative delivery model that could—as a complement to existing services—improve overall utilisation rates by increasing reach and satisfying unique participant preferences.
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Home-based cardiac telerehabilitation using wearable sensors is equivalent or better than centre-based rehabilitation and can increase access to cardiac rehabilitation and reduce the cost.
“Home-based cardiac telerehabilitation using wearable sensors is equivalent or better than centre-based rehabilitation and can increase access to cardiac rehabilitation and reduce the cost”
From Smart wearable devices in cardiovascular care: Where we are and how to move forward (2021) · cites this paper as [85]
REMOTE-CR was associated with less sedentary time at 24 weeks and was more cost-effective than the centre-based programme.
“A non-inferiority, randomized trial comparing REMOTE-CR — a real-time, remote telerehabilitation platform that includes the use of a chest-worn wearable sensor (BioHarness 3, Zephyr Technology, USA) — with a centre-based programme showed that REMOTE-CR was associated with less sedentary time at 24 weeks and was more cost-effective than the centre-based programme85.”
From Smart wearable devices in cardiovascular care: Where we are and how to move forward (2021) · cites this paper as [85]
A smartphone and chest-worn sensor telerehabilitation intervention was an effective and cost-effective delivery model that could potentially improve overall cardiac rehabilitation utilisation rates by increasing reach and satisfying unique participant preferences.
“The authors demonstrated that the intervention was an effective and cost-effective delivery model that could potentially improve overall CR utilisation rates by increasing reach and satisfying unique participant preferences.30”
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“Only one study reported that the digital CR intervention group had more adverse events during the treatment period as compared with the control group that participated in a center-based CR; however, adverse events were comparable during the postintervention follow-up period [41].”
InfluentialThe Influence of Wearables on Health Care Outcomes in Chronic Disease: Systematic Review
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“Implementation outcome findings are summarized below, with supporting data provided in Table 1 [41-45”
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“Exercise was also delivered through more complex REMOTE-CR platforms, together with several devices, a smartphone, a portable sensor and web applications and customized middleware [25].”
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“50 Ischaemic heart disease 4 (13) 1 (6) 3 (20) Dilated cardiomyopathy 9 (35) 6 (43) 3 (25) Sarcoidosis 5 (19) 2 (14) 3 (25) Amyloidosis 2 (8) 1 (7) 1 (8) Hypertrophic cardiomyopathy 2 (8) 0 (0) 2 (17) Hypertensive heart disease 1 (4) 1 (7) 0 (0) Other 7 (27) 4 (29) 3 (25) Medical history, n (%) PCI 3 (10) 1 (7) 2 (13)…”
InfluentialCardiac telerehabilitation as an alternative to centre-based cardiac rehabilitation
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“Can you see my screen?” Addressing Racial and Ethnic Disparities in Telehealth
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“However, it must be mentioned that there is much more to learn about what makes mHealth applications appealing and how these interventions can be used for long-term cardiovascular disease management.3 Videoconferencing offers the additional advantage of enabling providers to see and hear their patients (and vice versa…”
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“There are many studies highlighting the benefits of tele-rehabilitation in other clinical areas, such as post joint arthroplasty [7,8], cancer [9], stroke [10], and/or heart conditions [11].”
BackgroundMillion Hearts Cardiac Rehabilitation Think Tank: Accelerating New Care Models
Beatty, A. L., Brown, T. M., Corbett, M., Diersing, D., Keteyian, S. J., Mola, A. M., Stolp, H., Wall, H. K., & Sperling, L. S. (2021) · Circulation Cardiovascular Quality and Outcomes · doi:10.1161/circoutcomes.121.008215 · Cited by 68 · see citing works
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“The REMOTE-CR program [54] and CAP-CR program [55] draw on combinations of web-based and mobile-based features through smartphone-enabled software to facilitate digitally assisted self-management.”
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Reprint of: Promoting Physical Activity and Exercise
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The Role of Behavioral Science in Personalized Multimodal Prehabilitation in Cancer
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“In the field of cardiac rehabilitation for example, an approach utilizing sensors and a mobile application to provide real-time supervision of aerobic activity in the local environment was non-inferior to a standard in-clinic approach, was cheaper to deliver and resulted in longer-term behavior change (Maddison et al.…”
BackgroundEffectiveness of technology-assisted cardiac rehabilitation: A systematic review and meta-analysis
Chong, M. S., Sit, J. W. H., Karthijekan, K., & Chair, S. Y. (2021) · International Journal of Nursing Studies · doi:10.1016/j.ijnurstu.2021.104087 · Cited by 63 · see citing works
Mobile Technologies to Promote Physical Activity during Cardiac Rehabilitation: A Scoping Review
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“The employed mTechs consisted of the following devices to measure PA: fitness watches [13,20], chest-worn devices [21], smartphones [31], activity trackers [14,32], belt straps with sensors [33], motion sensors [15,16], mobile ECG [12,30], a custom sensor attached to shirt [17], and chest straps [19].”
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Brown, R. C. C., Coombes, J. S., Rodriguez, K. J., Hickman, I. J., & Keating, S. E. (2022) · British Journal of Sports Medicine · doi:10.1136/bjsports-2021-105118 · Cited by 56 · see citing works
Zhong, W., Liu, R., Cheng, H., Xu, L., Wang, L., He, C., & Wei, Q. (2023) · JMIR mhealth and uhealth · doi:10.2196/46359 · Cited by 56 · see citing works
“Our primary finding, consistent with previous studies and related reviews [40-42], showed that exercise-based cardiac telerehabilitation with remote monitoring is equivalent or superior to center-based CR in terms of exercise capacity in cardiac disease.”
Asynchronous and Synchronous Delivery Models for Home-Based Cardiac Rehabilitation
Thomas, R. J., Petersen, C. E., Olson, T. P., Beatty, A. L., Ding, R., & Supervía, M. (2021) · Journal of Cardiopulmonary Rehabilitation and Prevention · doi:10.1097/hcr.0000000000000656 · Cited by 55 · see citing works
Ashur, C., CASCINO, T. M., Lewis, C., Townsend, W. A., Sen, A., Pekmezi, D., Richardson, C. R., & Jackson, E. A. (2021) · Journal of Cardiopulmonary Rehabilitation and Prevention · doi:10.1097/hcr.0000000000000592 · Cited by 55 · see citing works
“Four studies used an HR monitor and reported on V̇o2max.(16-19) Eleven trials11-18,22,23,25 had control groups that attended CR and seven trials20,21,24,26-29 included a control group receiving usual care only (ie, were not enrolled in CR) and typically received a PA brochure or standard advice upon hospital discharge…”
MethodOstrowska, P. M., Śliwiński, M., Studnicki, R., & Hansdorfer-Korzon, R. (2021) · Healthcare · doi:10.3390/healthcare9060654 · Cited by 54 · see citing works
Antoniou, V., Kapreli, E., Davos, C. H., Baťalík, L., & Pepera, G. (2024) · Digital Health · doi:10.1177/20552076241237661 · Cited by 51 · see citing works
“18 Despite the several studies addressing the short or medium-term safety of RDCR interventions, 24,25 scarce evidence exists regarding the long-term evaluation of serious cardiac adverse events (SAEs), re-hospitalization or all-cause mortality rates.”
BackgroundTimakum, T., Xie, Q. S., & Song, M. (2022) · BMC Psychiatry · doi:10.1186/s12888-022-03713-9 · Cited by 55 · see citing works
“A telerehabilitation study [49] was the most cited.”
BackgroundSua, Y. S., Jiang, Y., Thompson, D. R., & Wang, W. (2020) · European Journal of Cardiovascular Nursing · doi:10.1177/1474515119895678 · Cited by 52 · see citing works
Self-citationDaryabeygi‐Khotbehsara, R., Islam, S. M. S., Dunstan, D. W., McVicar, J., Abdelrazek, M., & Maddison, R. (2021) · Journal of Medical Internet Research · doi:10.2196/26315 · Cited by 50 · see citing works
“The reasons for excluding 65 studies (in full-text review) are provided in Multimedia Appendix 2 [21-85].”
BackgroundSelf-citationmHealth Interventions for Exercise and Risk Factor Modification in Cardiovascular Disease
Maddison, R., Rawstorn, J. C., Islam, S. M. S., Ball, K., Tighe, S. A., Gant, N., Whittaker, R., & Chow, C. K. (2019) · Exercise and Sport Sciences Reviews · doi:10.1249/jes.0000000000000185 · Cited by 50 · see citing works
Self-citationScherrenberg, M., Falter, M., & Dendale, P. (2020) · European Heart Journal - Digital Health · doi:10.1093/ehjdh/ztaa005 · Cited by 51 · see citing works
Hernandez, M. F., & Rodríguez, F. (2022) · Current Cardiovascular Risk Reports · doi:10.1007/s12170-022-00711-0 · Cited by 49 · see citing works
Pino, R. D., Díez‐Cirarda, M., Ustarroz-Aguirre, I., Gonzalez-Larragan, S., Caprino, M., Busnatu, Ș., Gand, K., Schlieter, H., Gabilondo, I., & Gómez‐Esteban, J. C. (2022) · Frontiers in Medicine · doi:10.3389/fmed.2022.832229 · Cited by 49 · see citing works
Zhong, W., Fu, C., Xu, L., Sun, X., Wang, S., He, C., & Wei, Q. (2023) · BMC Cardiovascular Disorders · doi:10.1186/s12872-023-03120-2 · Cited by 48 · see citing works
Martín‐Martín, J., Roldán‐Jiménez, C., De-Torres, I., Muro-Culebras, A., Escriche-Escuder, A., González‐Sánchez, M., Ruiz‐Muñoz, M., Mayoral, F., Biró, A., Tang, W. J., et al. (2021) · Frontiers in Digital Health · doi:10.3389/fdgth.2021.620383 · Cited by 47 · see citing works
“Studies population were all sedentary subjects, 5 of them healthy adults (24, 30, 32, 34, 35), and 13 of them with some pathological diagnosis [overweight/obese (19, 25), type 2 diabetes mellitus (23, 26, 36), heart disease (20, 28, 29, 31), cancer (21, 33), depression (22), and osteoarthritis (27) (Table 2)].”
BackgroundMethodGaneshan, S., Jackson, H., Grandis, D. J., Janke, D., Murray, M. L., Valle, V., & Beatty, A. L. (2022) · Journal of Cardiopulmonary Rehabilitation and Prevention · doi:10.1097/hcr.0000000000000688 · Cited by 46 · see citing works
“Diabetes mellitus 12 (32) 10 (26) 1 (5) 36 (39)”
Cartledge, S. H., Rawstorn, J. C., Tran, M. W., Ryan, P., Howden, E. J., & Jackson, A. C. (2021) · European Journal of Cardiovascular Nursing · doi:10.1093/eurjcn/zvab118 · Cited by 48 · see citing works
Self-citationMohammadEbrahimi, S., Mohammadi, A., Bergquist, R. N., Dolatkhah, F., Olia, M., Tavakolian, A., Pishgar, E., & Kiani, B. (2021) · BMC Public Health · doi:10.1186/s12889-021-11326-2 · Cited by 44 · see citing works
“Importantly, as seen in Table 2, the median age in the non-survivor group (68, IQR [59–79]) was 16 years above that of the survivors (52, IQR [36-66]), (p 0.0001).”
BackgroundResultInfluentialGuidelines os the Brazilian Society of Cardiology on Telemedicine in Cardiology - 2019
Lopes, M. A. C. Q., de Oliveira, G. M. M., Ribeiro, A. L. P., Pinto, F. J., Rey, H. C. V., o, A. ́. A. ́. B., Zimerman, L. I., Hajjar, L. A., Rochitte, C. E., Bacal, F., et al. (2019) · Arquivos Brasileiros de Cardiologia · doi:10.5935/abc.20190205 · Cited by 47 · see citing works
Owen, O., & O’Carroll, V. (2022) · Journal of Telemedicine and Telecare · doi:10.1177/1357633x221085865 · Cited by 41 · see citing works
“37,41,43,45 Additionally, Skobel et al. reported patients ’ BMI only as an outcome.”
BackgroundMethodInfluentialCost-effectiveness of home-based cardiac rehabilitation: a systematic review
Shields, G., Rowlandson, A., Dalal, G., Nickerson, S., Cranmer, H., Capobianco, L., & Doherty, P. (2023) · Heart · doi:10.1136/heartjnl-2021-320459 · Cited by 41 · see citing works
Antoniou, V., Xanthopoulos, A. V., Giamouzis, G., Davos, C. H., Baťalík, L., Stavrou, V. T., Gourgoulianis, K. I., Kapreli, E., Skoularigis, J. S., & Pepera, G. (2022) · BMJ Open · doi:10.1136/bmjopen-2021-059945 · Cited by 39 · see citing works
Role of wearable devices in cardiac telerehabilitation: A scoping review
Jones, A. K., Yan, C. L., Rodriguez, B. P. R., Kaur, S., & Andrade-Bucknor, S. N. (2023) · PLoS ONE · doi:10.1371/journal.pone.0285801 · Cited by 39 · see citing works
Galloway, M. E., Marsden, D. L., Callister, R., Nilsson, M., Erickson, K. I., & English, C. (2019) · International Journal of Telerehabilitation · doi:10.5195/ijt.2019.6290 · Cited by 39 · see citing works
Closing Gaps in Lifestyle Adherence for Secondary Prevention of Coronary Heart Disease
Aggarwal, M., Ornish, D. M., Josephson, R., Brown, T. M., Ostfeld, R. J., Gordon, N. F., Madan, S., Allen, K., Khetan, A. K., Mahmoud, A., et al. (2021) · The American Journal of Cardiology · doi:10.1016/j.amjcard.2021.01.005 · Cited by 38 · see citing works
Home-Based Tele-Exercise in Musculoskeletal Conditions and Chronic Disease: A Literature Review
Amorese, A. J., & Ryan, A. S. (2022) · Frontiers in Rehabilitation Sciences · doi:10.3389/fresc.2022.811465 · Cited by 38 · see citing works
Out-of-hospital cardiac arrest survivors need both cardiological and neurological rehabilitation!
Boyce, L. W., Goossens, P. H., Moulaert, V. R. M., Pound, G. M., & Heugten, C. M. V. (2019) · Current Opinion in Critical Care · doi:10.1097/mcc.0000000000000609 · Cited by 36 · see citing works
Colas, C., Bayle, M., Labeix, P., Botelho-Nevers, É., Gagneux‐Brunon, A., Cazorla, C., Schein, F., Breugnon, E., Garcin, A., Féasson, L., et al. (2022) · Frontiers in Sports and Active Living · doi:10.3389/fspor.2022.877188 · Cited by 37 · see citing works
Rawstorn, J. C., Ball, K., Oldenburg, B. F., Chow, C. K., McNaughton, S. A., Lamb, K. E., Gao, L., Moodie, M., Amerena, J. V., Nadurata, V., et al. (2019) · JMIR Research Protocols · doi:10.2196/15022 · Cited by 34 · see citing works
“Behavioral support content builds on our previous CR SMS interventions that have been shown to improve self-management behaviors [10,39,40]; the larger character allowance of push notifications has been used to integrate more natural language than is typically possible with a 160-character SMS.”
InfluentialSelf-citationCost-effectiveness of telehealth-delivered diet and exercise interventions: A systematic review
Law, L., Kelly, J. T., Savill, H., Wallen, M. P., Hickman, I. J., Erku, D., & Mayr, H. L. (2022) · Journal of Telemedicine and Telecare · doi:10.1177/1357633x211070721 · Cited by 35 · see citing works
Cardiovascular Aging and Exercise: Implications for Heart Failure Prevention and Management
Subramanian, V., Tucker, W. J., Peters, A. E., Upadhya, B., Kitzman, D. W., & Pandey, A. (2025) · Circulation Research · doi:10.1161/circresaha.125.325531 · Cited by 34 · see citing works
Predictors of non-participation in a cardiac telerehabilitation programme: a prospective analysis
Brouwers, R. W. M., Brini, A., Kuijpers, R. W. F. H., Kraal, J. J., & Kemps, H. (2021) · European Heart Journal - Digital Health · doi:10.1093/ehjdh/ztab105 · Cited by 30 · see citing works
“In fact, recent CTR trials mainly included participants who were relatively young, predominantly male and had a low to moderate risk of recurrent events.(15,18,19) Therefore, it is questionable whether CTR in its current form is suitable and appealing for patients with a higher residual cardiovascular risk, in whom pa…”
BackgroundZhou, H., Wang, X., Yang, Y., Chen, Z., Zhang, L., Zheng, C., Shao, L., Tian, Y., Cao, X., Hu, Z., et al. (2022) · JAMA Network Open · doi:10.1001/jamanetworkopen.2022.45439 · Cited by 30 · see citing works
Li, R., Wang, M., Chen, S., & Zhang, L. (2024) · International Journal of Nursing Studies · doi:10.1016/j.ijnurstu.2024.104845 · Cited by 31 · see citing works
Toval, Á., Bakker, E. A., Granada-Maia, J. B., de Arenas‐Arroyo, S. N., Solis‐Urra, P., Eijsvogels, T. M. H., Esteban‐Cornejo, I., Martínez‐Vizcaíno, V., & Ortega, F. B. (2025) · European Heart Journal · doi:10.1093/eurheartj/ehae870 · Cited by 35 · see citing works
Cucca, A., Sharma, K., Agarwal, S., Feigin, A., & Biagioni, M. C. (2019) · Journal of NeuroEngineering and Rehabilitation · doi:10.1186/s12984-019-0481-4 · Cited by 31 · see citing works
Ramamoorthy, L., Premkumar, S., & Pillai, A. A. (2022) · Journal of Family and Community Medicine · doi:10.4103/jfcm.jfcm_315_21 · Cited by 29 · see citing works
Digital Health Programs to Reduce Readmissions in Coronary Artery Disease
Braver, J., Marwick, T. H., Oldenburg, B. F., Issaka, A., & Carrington, M. J. (2023) · JACC Advances · doi:10.1016/j.jacadv.2023.100591 · Cited by 28 · see citing works
Abe, M., Hirata, T., Morito, N., Kawashima, M., Yoshida, S., Takami, Y., Fujimoto, T., Kawasoe, S., Shibukawa, T., Segawa, H., et al. (2024) · Hypertension Research · doi:10.1038/s41440-024-01939-6 · Cited by 29 · see citing works
“Moreover, apps for cardiac telerehabilitation of patients with coronary heart disease [86] and apps for the tracking of weight, diet, physical activity, and blood glucose level and the communication with the dietitian of patients with type 2 diabetes [46] have also been demonstrated as…”
Exercise training and cardiac rehabilitation in cardiovascular disease
Kachur, S. M., Lavie, C. J., Morera, R., Ozemek, C., & Milani, R. V. (2019) · Expert Review of Cardiovascular Therapy · doi:10.1080/14779072.2019.1651198 · Cited by 28 · see citing works
“Despite these technical challenges, REMOTE-CR is a recent trial that has shown improved cost-effectiveness for in-home program delivery and lower medications costs with comparable clinical metrics [77].”
BackgroundHeras, J. C. D. L., Tulppo, M. P., Kiviniemi, A. M., Hilberg, O., Løkke, A., Ekholm, S., Catalán-Matamoros, D., & Bendstrup, E. M. (2020) · Disability and Rehabilitation Assistive Technology · doi:10.1080/17483107.2020.1800111 · Cited by 28 · see citing works
Yu, T., Xu, H., Sui, X., Zhang, X., Pang, Y., Yu, T., Lian, X., Zeng, T., Wu, Y., Leng, X., et al. (2023) · Journal of Medical Internet Research · doi:10.2196/42845 · Cited by 26 · see citing works
“We found changes in the MPA outcome after removing 1 study [45] with a greater influence on the pooled effect size (SMD=0.30, 95% CI 0.03-0.56; P =.03; Q(3)=5.41; P =.14; I 2 =44.6%).”
InfluentialRehabilitation at Home Using Mobile Health for Older Adults Hospitalized for Ischemic Heart Disease
Dodson, J. A., Adhikari, S., Schoenthaler, A., Hochman, J. S., Sweeney, G., George, B. J., Marzo, K. P., Jennings, L. A., Kovell, L. C., Vorsanger, M., et al. (2025) · JAMA Network Open · doi:10.1001/jamanetworkopen.2024.53499 · Cited by 27 · see citing works
“34,35 For example, a pragmatic nonrandomized trial of 237 patients with ischemic heart disease at 3 Veterans Health Administration medical centers showed greater gains in 6MWD with remote CR at 3 months compared with a traditional program (95 m vs 41 m; P < .001).”
EU-CaRE study: Could exercise-based cardiac telerehabilitation also be cost-effective in elderly?
Scherrenberg, M., Zeymer, U., Schneider, S., Hof, A. W. J. V. ’., Wilhelm, M., Hof, A. W. J. V. ’., Kolkman, E., Prins, L. F., Prescott, E., Iliou, M. C., et al. (2021) · International Journal of Cardiology · doi:10.1016/j.ijcard.2021.08.024 · Cited by 25 · see citing works
Current role and future perspectives of cardiac rehabilitation in coronary heart disease
Vilela, E., Ladeiras‐Lopes, R., Joao, A., Braga, J., Torres, S., Viamonte, S., Ribeiro, J., Teixeira, M., Nunes, J. P. L., & Fontes‐Carvalho, R. (2021) · World Journal of Cardiology · doi:10.4330/wjc.v13.i12.695 · Cited by 29 · see citing works
Candelaria, D., Kirkness, A., Farrell, M., Roach, K., Gooley, L., Fletcher, A., Ashcroft, S. K., Glinatsis, H., Bruntsch, C., Roberts, J., et al. (2022) · European Journal of Cardiovascular Nursing · doi:10.1093/eurjcn/zvac006 · Cited by 25 · see citing works
Kenny, E., Coyne, R., McEvoy, J., McSharry, J., Taylor, R. S., & Byrne, M. (2023) · Health Psychology Review · doi:10.1080/17437199.2023.2185653 · Cited by 23 · see citing works
Ku, B. P. S., Tse, A. W. S., Pang, B. C. H., Cheung, N. T., Pang, J. Y. W., Chan, J. K. Y., Hui, H. L., Chu, D., & Choi, K. H. W. (2021) · JMIR Rehabilitation and Assistive Technologies · doi:10.2196/19946 · Cited by 25 · see citing works
“Previous studies [10,19,21,26,31] on tele-rehabilitation often require the use of sophisticated communication tools, equipment, or software.”
BackgroundMethodWu, G., Hu, Y., Ding, K., Li, X., Li, J., & Shang, Z. (2022) · Global Heart · doi:10.5334/gh.1170 · Cited by 25 · see citing works
Economic Evaluation of Telerehabilitation: Systematic Literature Review of Cost-Utility Studies
Baffert, S., Hadouiri, N., Fabron, C., Burgy, F., Cassany, A., & Kemoun, G. (2023) · JMIR Rehabilitation and Assistive Technologies · doi:10.2196/47172 · Cited by 25 · see citing works
“…3 (27) Kloek et al [28], Fatoye et al [29], and Nelson et al [31] Orthopedics 6 (55) Frederix et al [24], Frederix et al [25], Maddison et al [30], Hwang et al [32], Kidholm et al [33], and Kraal et al [34] Cardiology 1 (9) Haesum et al [26] Pulmonology 1 (9) Longacre et al [27] Cancer Sampe…”
BackgroundInfluentialHou, Q. L., Liu, L. Y., & Wu, Y. X. (2024) · Journal of Medical Internet Research · doi:10.2196/52341 · Cited by 25 · see citing works
“First, as demonstrated in an RCT, mHealth interventions could facilitate more frequent patient-specialist interactions, fostering enhanced interpersonal engagement that could increase patient participation and self-efficacy in health management [87].”
Efficacy of Smartphone-Based Secondary Preventive Strategies in Coronary Artery Disease
Murphy, A. C., Meehan, G., Koshy, A. N., Kunniardy, P., Farouque, O., & Yudi, M. (2020) · Clinical Medicine Insights Cardiology · doi:10.1177/1179546820927402 · Cited by 24 · see citing works
Thomas, E. E., Chambers, R., Phillips, S., Rawstorn, J. C., & Cartledge, S. (2023) · European Journal of Cardiovascular Nursing · doi:10.1093/eurjcn/zvac111 · Cited by 20 · see citing works
Self-citationIrving, C. A., Azeka, E., Adorisio, R., Blume, E. D., Bogle, C., Chubb, H., Conway, J. L., Cousino, M. K., Edelson, J. B., Ford, K., et al. (2025) · The Journal of Heart and Lung Transplantation · doi:10.1016/j.healun.2025.06.003 · Cited by 26 · see citing works
Zhu, Y., Zhao, Y., & Wu, Y. (2024) · International Journal of Nursing Sciences · doi:10.1016/j.ijnss.2024.03.012 · Cited by 28 · see citing works
“For exercise capacity, 4 studies [32,40,44,48] reported the effect of mHealth app interventions on VO 2 max, and 4 studies [34,38,50,58] reported the effect on 6MWD.”
BackgroundInfluentialCardiopulmonary Telerehabilitation
Aragaki, D. R., Luo, J., Weiner, E., Zhang, G., & Darvish, B. (2021) · Physical Medicine and Rehabilitation Clinics of North America · doi:10.1016/j.pmr.2021.01.004 · Cited by 22 · see citing works
A systematic review of economic analyses of home-based telerehabilitation
Grigorovich, A., Xi, M., Lam, N., Pakosh, M. T., & Chan, B. (2021) · Disability and Rehabilitation · doi:10.1080/09638288.2021.2019327 · Cited by 22 · see citing works
Choo, Y. J., & Chang, M. C. (2022) · Medicine · doi:10.1097/md.0000000000029459 · Cited by 22 · see citing works
“Body composition included body mass index, waist circumference, hip circumference, and weight, which was investigated in 3,[12,13,15] 4,[12,13,16,19] 2,[12,13] and 3[12,17,19] studies, respectively.”
BackgroundMethodInfluentialDwiputra, B., Santoso, A., Purwowiyoto, B. S., Radi, B., Ambari, A. M., Desandri, D., Fatrin, S., & Pandhita, B. (2023) · Global Heart · doi:10.5334/gh.1253 · Cited by 21 · see citing works
Telemedicine in the Cardiovascular World: Ready for the Future?
Soliman, A. M. (2020) · Methodist DeBakey Cardiovascular Journal · doi:10.14797/mdcj-16-4-283 · Cited by 22 · see citing works
Pagliari, C., Isernia, S., Rapisarda, L., Borgnis, F., Lazzeroni, D., Bini, M., Geroldi, S., Baglio, F., & Brambilla, L. (2024) · Journal of Clinical Medicine · doi:10.3390/jcm13123396 · Cited by 21 · see citing works
“27,37,41,42] tested the effect of telerehabilitation on blood values compared to CI, including 830 participants in total.”
Background
- Authors
- Maddison, R., Rawstorn, J. C., Stewart, R. A. H., Benatar, J., Whittaker, R., Rolleston, A., Jiang, Y., Gao, L., Moodie, M., Warren, I., Meads, A., & Gant, N.
- Affiliations
- Deakin University (AU)
- Auckland City Hospital (NZ)
- University of Auckland (NZ)
- The Centre for Health (New Zealand) (NZ)
- Corresponding author
- Rawstorn, Jonathan Charles
- ORCID
- Venue
- Heart
- Publisher
- BMJ
- Published
- 2018-08-27
- Volume
- 105
- Issue
- 2
- Pages
- 122-129
- ISSN
- 1355-6037 (ISSN-L)
- 1468-201X
- PMC
- PMC6352408
- OpenAlex
- W2889374857
- Cited by
- 320
- References
- 32
- Citations by year
- 2026: 27 · 2025: 47 · 2024: 52 · 2023: 55 · 2022: 59 · 2021: 36 · 2020: 25 · 2019: 14 · 2018: 5
- FWCI
- 15.13
- Type
- journal article
- Language
- en
- Open access
- hybrid
- doi.org
- Licence
- cc-by-nc
- Locations
- Heart (publishedVersion, cc-by-nc)
- Europe PMC (PubMed Central) (publishedVersion, cc-by-nc)
- PubMed Central (publishedVersion, cc-by-nc)
- PubMed (publishedVersion)
- Own your potential (DEAKIN) (submittedVersion)
- Figshare (submittedVersion, cc-by-nc)
- HighWire Press Open Archive (submittedVersion)
- Funders
- Auckland Medical Research Foundation
- Topics
- Health Sciences › Medicine › Cardiology and Cardiovascular Medicine › Cardiac Health and Mental Health
- Health Sciences › Medicine › Public Health, Environmental and Occupational Health › Telemedicine and Telehealth Implementation
- Health Sciences › Health Professions › General Health Professions › Mobile Health and mHealth Applications
- Keywords
- cardiac telerehabilitation, coronary artery disease, exercise-based cardiac rehabilitation, VO2max, sedentary behavior, cardiovascular risk factors, health-related quality of life, drug costs, non-inferiority, behavioral strategies, exercise adherence, motivation, New Zealand
- MeSH terms
- Coronary Disease, Cost-Benefit Analysis, Exercise Therapy, Female, Humans, Male, Middle Aged, New Zealand, Quality of Life, Rehabilitation Centers, Treatment Outcome, Telemedicine, Internet
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