REMOTE PATIENT MONITORING WITH WEARABLE DEVICES AND MOBILE HEALTH SYSTEMS FOR CHRONIC DISEASES: CLINICAL EFFECTIVENESS, CHALLENGES, AND FUTURE PROSPECTS – A REVIEW

Authors

DOI:

https://doi.org/10.31435/ijitss.2(50).2026.5458

Keywords:

Remote Monitoring, Wearable Devices, Digital Health, mHealth, Telemedicine, Chronic Diseases

Abstract

Background: The rapid advancement of technology makes it possible to achieve improvements in medical services and patient adherence. It also enables the early detection of disease exacerbations and improves the management of chronic conditions outside the clinical setting. Digital health tools such as wearable sensors and mobile applications can enhance patients’ perceived competence.

Objectives: This aim of this review was to analyze the available scientific data on the use of remote monitoring (via wearables devices and mobile healthcare systems) in patients with chronic diseases. The analysis focused on their effectiveness, safety, and practical potential.

Methods: A literature review on remote monitoring of patients with chronic diseases was conducted using the PubMed, Embase and Medline databases for publications in English language from 2015 to 2026. The analysis included clinical trials, metanalyses, studies validating remote monitoring devices, and guidelines issued by scientific societies. The selection of studies was based on predefined inclusion and exclusion criteria. The results were presented as a qualitative analysis.

Conclusions: Remote patient monitoring and digital interventions, combined with active clinical support, improve blood pressure control, exercise capacity, therapy engagement, and adherence, and reduce hospitalizations for cardiovascular disease. In respiratory diseases, RPM technology provides accurate vital sign measurements, although it does not always lead to better clinical outcomes. In type 2 diabetes, comprehensive digital interventions support glycemic control and healthy behaviors, while in neurological rehabilitation, wearable systems and machine learning-based applications improve limbs motor function. Despite the advantages and demonstrated effectiveness of remote patient monitoring (RPM) and wearable device–based interventions, technological complexity and limited digital literacy are significant implementation barriers that may limit long-term engagement.

References

Chen, C., Ding, S., & Wang, J. (2023). Digital health for aging populations. Nature Medicine, 29(6), 1623–1630. https://doi.org/10.1038/s41591-023-02391-8

Mehta, S. J., Volpp, K. G., Troxel, A. B., Teel, J., Reitz, C. R., Purcell, A., Shen, H., McNelis, K., Snider, C. K., & Asch, D. A. (2024). Remote blood pressure monitoring with social support for patients with hypertension: A randomized clinical trial. JAMA Network Open, 7(6), e2413515. https://doi.org/10.1001/jamanetworkopen.2024.13515

Wettstein, R., Sedaghat-Hamedani, F., Heinze, O., Amr, A., Reich, C., Betz, T., Kayvanpour, E., Merzweiler, A., Büsch, C., Mohr, I., Friedmann-Bette, B., Frey, N., Dugas, M., & Meder, B. (2024). A remote patient monitoring system with feedback mechanisms using a smartwatch: Concept, implementation, and evaluation based on the activeDCM randomized controlled trial. JMIR mHealth and uHealth, 12, e58441. https://doi.org/10.2196/58441

Zwerink, M., Brusse-Keizer, M., van der Valk, P. D., Zielhuis, G. A., Monninkhof, E. M., van der Palen, J., Frith, P. A., & Effing, T. (2014). Self management for patients with chronic obstructive pulmonary disease. Cochrane Database of Systematic Reviews, 2014(3), CD002990. https://doi.org/10.1002/14651858.CD002990.pub3

Bentley, C. L., Powell, L., Potter, S., Parker, J., Mountain, G. A., Bartlett, Y. K., Farwer, J., O'Connor, C., Burns, J., Cresswell, R. L., Dunn, H. D., & Hawley, M. S. (2020). The use of a smartphone app and an activity tracker to promote physical activity in the management of chronic obstructive pulmonary disease: Randomized controlled feasibility study. JMIR mHealth and uHealth, 8(6), e16203. https://doi.org/10.2196/16203

Ringeval, M., Wagner, G., Denford, J., Paré, G., & Kitsiou, S. (2020). Fitbit-based interventions for healthy lifestyle outcomes: Systematic review and meta-analysis. Journal of Medical Internet Research, 22(10), e23954. https://doi.org/10.2196/23954

Chandler, J., Sox, L., Kellam, K., Feder, L., Nemeth, L., & Treiber, F. (2019). Impact of a culturally tailored mHealth medication regimen self-management program upon blood pressure among hypertensive Hispanic adults. International Journal of Environmental Research and Public Health, 16(7), 1226. https://doi.org/10.3390/ijerph16071226

Margolis, K. L., Asche, S. E., Bergdall, A. R., Dehmer, S. P., Groen, S. E., Kadrmas, H. M., Kerby, T. J., Klotzle, K. J., Maciosek, M. V., Michels, R. D., O'Connor, P. J., Pritchard, R. A., Sekenski, J. L., Sperl-Hillen, J. M., & Trower, N. K. (2013). Effect of home blood pressure telemonitoring and pharmacist management on blood pressure control: A cluster randomized clinical trial. JAMA, 310(1), 46–56. https://doi.org/10.1001/jama.2013.6549

Schoenthaler, A., Leon, M., Butler, M., Steinhaeuser, K., & Wardzinski, W. (2020). Development and evaluation of a tailored mobile health intervention to improve medication adherence in Black patients with uncontrolled hypertension and type 2 diabetes: Pilot randomized feasibility trial. JMIR mHealth and uHealth, 8(9), e17135. https://doi.org/10.2196/17135

Bove, A. A., Homko, C. J., Santamore, W. P., Kashem, M., Kerper, M., & Elliott, D. J. (2013). Managing hypertension in urban underserved subjects using telemedicine: A clinical trial. American Heart Journal, 165(4), 615–621. https://doi.org/10.1016/j.ahj.2013.01.004

Schroeder, E. B., Moore, K. R., Manson, S. M., Baldwin, M. A., Goodrich, G. K., Malone, A. S., Pieper, L. E., Xu, S., Fort, M. P., Son-Stone, L., Johnson, D., & Steiner, J. F. (2020). A randomized clinical trial of an interactive voice response and text message intervention for individuals with hypertension. Journal of Clinical Hypertension, 22(7), 1228–1238. https://doi.org/10.1111/jch.13909

Rifkin, D. E., Abdelmalek, J. A., Miracle, C. M., Low, C., Barsotti, R., Rios, P., Stepnowsky, C., & Agha, Z. (2013). Linking clinic and home: A randomized, controlled clinical effectiveness trial of real-time, wireless blood pressure monitoring for older patients with kidney disease and hypertension. Blood Pressure Monitoring, 18(1), 8–15. https://doi.org/10.1097/MBP.0b013e32835d126c

Lu, T., Cao, R., Wang, Y., Kong, X., Wang, H., Sun, G., Gao, S., Wang, Y., Yuan, Y., Shen, X., Fan, L., Ren, J., & Cao, F. (2024). Wearable equipment-based telemedical management via multiparameter monitoring on cardiovascular outcomes in elderly patients with chronic coronary heart disease: An open-labelled, randomised, controlled trial. BMJ Health Care Informatics, 31(1), e101135. https://doi.org/10.1136/bmjhci-2024-101135

Nishio, R., Dohi, T., Yokoyama, M., Nakade, T., Takahashi, N., Chikata, Y., Endo, H., Nishiyama, H., Okai, I., Iwata, H., Okazaki, S., Miyauchi, K., Daida, H., & Minamino, T. (2025). Wearable devices in remote cardiac rehabilitation with and without weekly online coaching for patients with coronary artery disease: Randomized controlled trial. JMIR mHealth and uHealth, 13, e63797. https://doi.org/10.2196/63797

Zhang, S., Wang, Y., Wu, J., Ma, C., & Meng, X. (2025). Effectiveness of smartwatch device on adherence to home-based cardiac rehabilitation in patients with coronary heart disease: Randomized controlled trial. JMIR mHealth and uHealth, 13, e70848. https://doi.org/10.2196/70848

Chokshi, N. P., Adusumalli, S., Small, D. S., Morris, A., Feingold, J., Ha, Y. P., Lynch, M. D., Rareshide, C. A. L., Hilbert, V., & Patel, M. S. (2018). Loss-framed financial incentives and personalized goal-setting to increase physical activity among ischemic heart disease patients using wearable devices: The ACTIVE REWARD randomized trial. Journal of the American Heart Association, 7(12), e009173. https://doi.org/10.1161/JAHA.118.009173

Ong, M. K., Romano, P. S., Edgington, S., Aronow, H. U., Auerbach, A. D., Black, J. T., De Marco, T., Escarce, J. J., Evangelista, L. S., Hanna, B., Ganiats, T. G., Greenberg, B. H., Greenfield, S., Kaplan, S. H., Kimchi, A., Liu, H., Lombardo, D., Mangione, C. M., Sadeghi, B., Sarrafzadeh, M., Tong, K., & Fonarow, G. C. (2016). Effectiveness of remote patient monitoring after discharge of hospitalized patients with heart failure: The Better Effectiveness After Transition—Heart Failure (BEAT-HF) randomized clinical trial. JAMA Internal Medicine, 176(3), 310–318. https://doi.org/10.1001/jamainternmed.2015.7712

Kitsiou, S., Gerber, B. S., Buchholz, S. W., Kansal, M. M., Sun, J., & Pressler, S. J. (2025). Patient-centered mHealth intervention to improve self-care in patients with chronic heart failure: Phase 1 randomized controlled trial. Journal of Medical Internet Research, 27, e55586. https://doi.org/10.2196/55586

Marier-Tétrault, E., Bebawi, E., Béchard, S., Brouillard, P., Zuchinali, P., Remillard, E., Carrier, Z., Jean-Charles, L., Nguyen, J. N. K., Lehoux, P., Pomey, M. P., Ribeiro, P. A. B., & Tournoux, F. (2024). Remote patient monitoring and digital therapeutics enhancing the continuum of care in heart failure: Nonrandomized pilot study. JMIR Formative Research, 8, e53444. https://doi.org/10.2196/53444

Victoria-Castro, A. M., Martin, M. L., Yamamoto, Y., Melchinger, H., Weinstein, J., Nguyen, A., Lee, K. A., Gerber, B., Calderon, F., Subair, L., Lee, V., Williams, A., Shaw, M., Arora, T., Garcez, A., Desai, N. R., Ahmad, T., & Wilson, F. P. (2024). Impact of digital health technology on quality of life in patients with heart failure. JACC: Heart Failure, 12(2), 336–348. https://doi.org/10.1016/j.jchf.2023.09.022

Huang, C., Izmailova, E. S., Jackson, N., Ellis, R., Bhatia, G., Ruddy, M., & Singh, D. (2021). Remote FEV1 monitoring in asthma patients: A pilot study. Clinical and Translational Science, 14(2), 529–535. https://doi.org/10.1111/cts.12901

Kirszenblat, R., & Edouard, P. (2021). Validation of the Withings ScanWatch as a wrist-worn reflective pulse oximeter: Prospective interventional clinical study. Journal of Medical Internet Research, 23(4), e27503. https://doi.org/10.2196/27503

Stamenova, V., Liang, K., Yang, R., Engel, K., van Lieshout, F., Lalingo, E., Cheung, A., Erwood, A., Radina, M., Greenwald, A., Agarwal, P., Sidhu, A., Bhatia, R. S., Shaw, J., Shafai, R., & Bhattacharyya, O. (2020). Technology-enabled self-management of chronic obstructive pulmonary disease with or without asynchronous remote monitoring: Randomized controlled trial. Journal of Medical Internet Research, 22(7), e18598. https://doi.org/10.2196/18598

Soriano, J. B., García-Río, F., Vázquez-Espinosa, E., Conforto, J. I., Hernando-Sanz, A., López-Yepes, L., Galera-Martínez, R., Peces-Barba, G., Gotera-Rivera, C. M., Pérez-Warnisher, M. T., Segrelles-Calvo, G., Zamarro, C., González-Ponce, P., Ramos, M. I., Jafri, S., & Ancochea, J. (2018). A multicentre, randomized controlled trial of telehealth for the management of COPD. Respiratory Medicine, 144, 74–81. https://doi.org/10.1016/j.rmed.2018.10.008

van der Kleij, S., de Backer, I., Hanraets, B., Verbraecken, J., & Asin, J. (2024). Effectiveness of remote monitoring in improving CPAP compliance and the impact of preexisting organisation of standard care: A randomised controlled trial. Sleep and Breathing, 28(4), 1715–1721. https://doi.org/10.1007/s11325-024-03042-z

Shah, S. A., Velardo, C., Farmer, A., & Tarassenko, L. (2017). Exacerbations in chronic obstructive pulmonary disease: Identification and prediction using a digital health system. Journal of Medical Internet Research, 19(3), e69. https://doi.org/10.2196/jmir.7207

Schoenthaler, A., Leon, M., Butler, M., Steinhaeuser, K., & Wardzinski, W. (2020). Development and evaluation of a tailored mobile health intervention to improve medication adherence in Black patients with uncontrolled hypertension and type 2 diabetes: Pilot randomized feasibility trial. JMIR mHealth and uHealth, 8(9), e17135. https://doi.org/10.2196/17135

Lau, D., Manca, D. P., Singh, P., Perry, T., Olu-Jordan, I., Zhang, J. R., Rahim, G., Hagen, E. M., & Yeung, R. O. (2024). The effectiveness of continuous glucose monitoring with remote telemonitoring-enabled virtual educator visits in adults with non-insulin dependent type 2 diabetes: A randomized trial. Diabetes Research and Clinical Practice, 217, 111899. https://doi.org/10.1016/j.diabres.2024.111899

Li, J., Wei, D., Liu, S., Li, M., Chen, X., Chen, L., Wu, Y., Zhou, W., Ouyang, L., Tan, C., Meng, H., & Tong, N. (2021). Efficiency of an mHealth app and chest-wearable remote exercise monitoring intervention in patients with type 2 diabetes: A prospective, multicenter randomized controlled trial. JMIR mHealth and uHealth, 9(2), e23338. https://doi.org/10.2196/23338

Crowley, M. J., Tarkington, P. E., Bosworth, H. B., Jeffreys, A. S., Coffman, C. J., Maciejewski, M. L., Steinhauser, K., Smith, V. A., Dar, M. S., Fredrickson, S. K., Mundy, A. C., Strawbridge, E. M., Marcano, T. J., Overby, D. L., Majette Elliott, N. T., Danus, S., & Edelman, D. (2022). Effect of a comprehensive telehealth intervention vs telemonitoring and care coordination in patients with persistently poor type 2 diabetes control: A randomized clinical trial. JAMA Internal Medicine, 182(9), 943–952. https://doi.org/10.1001/jamainternmed.2022.2947

Mihevc, M., Mori Lukančič, M., Zavrnik, Č., Virtič Potočnik, T., Ružić Gorenjec, N., Petek Šter, M., Klemenc-Ketiš, Z., & Poplas Susič, A. (2025). Impact of 12-month mHealth home telemonitoring on clinical outcomes in older individuals with hypertension and type 2 diabetes: Multicenter randomized controlled trial. JMIR mHealth and uHealth, 13, e59733. https://doi.org/10.2196/59733

Hung, N. T., Paul, V., Prakash, P., Kovach, T., Tacy, G., Tomic, G., Park, S., Jacobson, T., Jampol, A., Patel, P., Chappel, A., King, E., & Slutzky, M. W. (2021). Wearable myoelectric interface enables high-dose, home-based training in severely impaired chronic stroke survivors. Annals of Clinical and Translational Neurology, 8(9), 1895–1905. https://doi.org/10.1002/acn3.51442

Choudhury, S., Singh, R., Shobhana, A., Sen, D., Anand, S. S., Shubham, S., Gangopadhyay, S., Baker, M. R., Kumar, H., & Baker, S. N. (2020). A novel wearable device for motor recovery of hand function in chronic stroke survivors. Neurorehabilitation and Neural Repair, 34(7), 600–608. https://doi.org/10.1177/1545968320926162

Chae, S. H., Kim, Y., Lee, K. S., & Park, H. S. (2020). Development and clinical evaluation of a web-based upper limb home rehabilitation system using a smartwatch and machine learning model for chronic stroke survivors: Prospective comparative study. JMIR mHealth and uHealth, 8(7), e17216. https://doi.org/10.2196/17216

Bicki, A. C., Seth, D., McCulloch, C. E., Lin, F., & Ku, E. (2024). Use of activity trackers to improve blood pressure in young people at risk for cardiovascular disease: A pilot randomized controlled trial. Pediatric Nephrology, 39(8), 2467–2474. https://doi.org/10.1007/s00467-024-06340-6

Kelly, J. T., Campbell, K. L., Gong, E., & Scuffham, P. (2020). The Internet of Things: Impact and implications for health care delivery. Journal of Medical Internet Research, 22, e20135. https://doi.org/10.2196/20135

El-Rashidy, N., El-Sappagh, S., Islam, S. M. R., El-Bakry, H. M., & Abdelrazek, S. (2021). Mobile health in remote patient monitoring for chronic diseases: Principles, trends, and challenges. Diagnostics, 11(4), 607. https://doi.org/10.3390/diagnostics11040607

Jackson, T. N., Sreedhara, M., Bostic, M., Spafford, M., Popat, S., Lowe Beasley, K., Jordan, J., & Ahn, R. (2023). Telehealth use to address cardiovascular disease and hypertension in the United States: A systematic review and meta-analysis, 2011–2021. Telemedicine Reports, 4(1), 67–86. https://doi.org/10.1089/tmr.2023.0011

Malche, T., Tharewal, S., Tiwari, P. K., Jabarulla, M. Y., Alnuaim, A. A., Hatamleh, W. A., & Ullah, M. A. (2022). Artificial intelligence of things (AIoT)-based patient activity tracking system for remote patient monitoring. Journal of Healthcare Engineering, 2022, 8732213. https://doi.org/10.1155/2022/8732213

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Published

2026-06-22

How to Cite

Manicka, M., Baranowicz, M. ., Mazurkiewicz, W. ., Borecka, Z. ., Sobczak, A., Szymczak, A. ., Jaworowicz, A. ., Piasecka, J. ., Gołembiewski, B. ., & Mulski, G. . (2026). REMOTE PATIENT MONITORING WITH WEARABLE DEVICES AND MOBILE HEALTH SYSTEMS FOR CHRONIC DISEASES: CLINICAL EFFECTIVENESS, CHALLENGES, AND FUTURE PROSPECTS – A REVIEW. International Journal of Innovative Technologies in Social Science, 3(2(50). https://doi.org/10.31435/ijitss.2(50).2026.5458

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