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Gong XY, Cheng J, Wu YT, He F, Wang SH, Liu CY, Zhu Y, Xu KH. Effectiveness of home-based cardiac telerehabilitation based on wearable ECG or heart rate monitoring devices in patients with heart disease: A meta-analysis of randomized controlled trials. Geriatr Nurs 2024; 58:238-246. [PMID: 38838406 DOI: 10.1016/j.gerinurse.2024.05.036] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/16/2024] [Revised: 05/19/2024] [Accepted: 05/24/2024] [Indexed: 06/07/2024]
Abstract
OBJECTIVE To evaluate the effectiveness of home-based cardiac telerehabilitation based on wearable electrocardiogram or heart rate monitoring devices in patients with heart disease. METHODS We searched eight electronic databases under the guidance of Cochrane Handbook and PRISMA recommendations. RESULTS The meta-analysis included data from 14 articles (15 RCTs) representing 1314 participants. A significant improvement in left ventricular ejection fraction [MD = 2.12, 95 % CI (1.21, 3.04), P < 0.001], 6-minute walk distance [MD = 40.00, 95 % CI (21.72, 58.29), P < 0.001] and peak oxygen intake [MD = 2.24, 95 % CI (1.38, 3.10), P < 0.001] were observed in the home-based cardiac telerehabilitation group. But it had no difference in anxiety [SMD = -0.83, 95 % CI (-1.65, -0.02), P = 0.05] and depression [SMD = -0.59, 95 % CI (-1.26, 0.09), P = 0.09]. Subgroup analyses revealed that interventions of no less than 3 months improved anxiety [SMD = -1.11, 95 % CI (-2.05, -0.18), P = 0.02] and depression [SMD = -1.01, 95 % CI (-1.93, -0.08), P = 0.03]. CONCLUSION Home-based cardiac telerehabilitation based on wearable electrocardiogram or heart rate monitoring devices has a positive effect on cardiac function. Long-term (≥ 3 months) cardiac rehabilitation might benefit individuals suffering from anxiety or depression.
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Affiliation(s)
- Xin-Yue Gong
- School of Nursing, Anhui University of Chinese Medicine, Hefei, China
| | - Jing Cheng
- School of Nursing, Anhui University of Chinese Medicine, Hefei, China.
| | - Ying-Ting Wu
- School of Nursing, Anhui University of Chinese Medicine, Hefei, China
| | - Fei He
- Department of Cardiology, The Second Affiliated Hospital of Anhui Medical University, Hefei, China
| | - Si-Han Wang
- School of Nursing, Anhui University of Chinese Medicine, Hefei, China
| | - Chang-Yi Liu
- School of Nursing, Anhui University of Chinese Medicine, Hefei, China
| | - Ying Zhu
- School of Nursing, Anhui University of Chinese Medicine, Hefei, China
| | - Ke-Hui Xu
- The Second Affiliated Hospital of Anhui University of Chinese Medicine, Hefei, China
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de Frel DL, Schroijen MA, Aardoom JJ, van Gils W, Huisman SD, Janssen VR, Versluis A, Kleinsmann MS, Atsma DE, Pijl H. Participatory Development of an Integrated, eHealth-Supported, Educational Care Pathway (Diabetes Box) for People With Type 2 Diabetes: Development and Usability Study. JMIR Hum Factors 2024; 11:e45055. [PMID: 38819880 PMCID: PMC11179029 DOI: 10.2196/45055] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/15/2022] [Revised: 09/17/2023] [Accepted: 11/20/2023] [Indexed: 06/01/2024] Open
Abstract
BACKGROUND Type 2 diabetes (T2D) tremendously affects patient health and health care globally. Changing lifestyle behaviors can help curb the burden of T2D. However, health behavior change is a complex interplay of medical, behavioral, and psychological factors. Personalized lifestyle advice and promotion of self-management can help patients change their health behavior and improve glucose regulation. Digital tools are effective in areas of self-management and have great potential to support patient self-management due to low costs, 24/7 availability, and the option of dynamic automated feedback. To develop successful eHealth solutions, it is important to include stakeholders throughout the development and use a structured approach to guide the development team in planning, coordinating, and executing the development process. OBJECTIVE The aim of this study is to develop an integrated, eHealth-supported, educational care pathway for patients with T2D. METHODS The educational care pathway was developed using the first 3 phases of the Center for eHealth and Wellbeing Research roadmap: the contextual inquiry, the value specification, and the design phase. Following this roadmap, we used a scoping review about diabetes self-management education and eHealth, past experiences of eHealth practices in our hospital, focus groups with health care professionals (HCPs), and a patient panel to develop a prototype of an educational care pathway. This care pathway is called the Diabetes Box (Leiden University Medical Center) and consists of personalized education, digital educational material, self-measurements of glucose, blood pressure, activity, and sleep, and a smartphone app to bring it all together. RESULTS The scoping review highlights the importance of self-management education and the potential of telemonitoring and mobile apps for blood glucose regulation in patients with T2D. Focus groups with HCPs revealed the importance of including all relevant lifestyle factors, using a tailored approach, and using digital consultations. The contextual inquiry led to a set of values that stakeholders found important to include in the educational care pathway. All values were specified in biweekly meetings with key stakeholders, and a prototype was designed. This prototype was evaluated in a patient panel that revealed an overall positive impression of the care pathway but stressed that the number of apps should be restricted to one, that there should be no delay in glucose value visualization, and that insulin use should be incorporated into the app. Both patients and HCPs stressed the importance of direct automated feedback in the Diabetes Box. CONCLUSIONS After developing the Diabetes Box prototype using the Center for eHealth and Wellbeing Research roadmap, all stakeholders believe that the concept of the Diabetes Box is useful and feasible and that direct automated feedback and education on stress and sleep are essential. A pilot study is planned to assess feasibility, acceptability, and usefulness in more detail.
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Affiliation(s)
| | - Mariëlle A Schroijen
- Division of Endocrinology, Department of Internal Medicine, Leiden University Medical Center, Leiden, Netherlands
| | - Jiska J Aardoom
- Department of Public Health and Primary Care, Leiden University Medical Center, Leiden, Netherlands
- National eHealth Living Lab, Leiden, Netherlands
| | - Wesley van Gils
- Division of Endocrinology, Department of Internal Medicine, Leiden University Medical Center, Leiden, Netherlands
| | - Sasja D Huisman
- Division of Endocrinology, Department of Internal Medicine, Leiden University Medical Center, Leiden, Netherlands
| | - Veronica R Janssen
- Department of Cardiology, Leiden University Medical Center, Leiden, Netherlands
| | - Anke Versluis
- Department of Public Health and Primary Care, Leiden University Medical Center, Leiden, Netherlands
- National eHealth Living Lab, Leiden, Netherlands
| | - Maaike S Kleinsmann
- Department of Design, Organization and Strategy, Faculty of Industrial Design Engineering, Delft University of Technology, Delft, Netherlands
| | - Douwe E Atsma
- Department of Cardiology, Leiden University Medical Center, Leiden, Netherlands
- National eHealth Living Lab, Leiden, Netherlands
- Department of Design, Organization and Strategy, Faculty of Industrial Design Engineering, Delft University of Technology, Delft, Netherlands
| | - Hanno Pijl
- Division of Endocrinology, Department of Internal Medicine, Leiden University Medical Center, Leiden, Netherlands
- Department of Public Health and Primary Care, Leiden University Medical Center, Leiden, Netherlands
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Shelke S, Veerubhotla K, Lee Y, Lee CH. Telehealth of cardiac devices for CVD treatment. Biotechnol Bioeng 2024; 121:823-834. [PMID: 38151894 DOI: 10.1002/bit.28637] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/03/2023] [Revised: 12/07/2023] [Accepted: 12/08/2023] [Indexed: 12/29/2023]
Abstract
This review covers currently available cardiac implantable electronic devices (CIEDs) as well as updated progress in real-time monitoring techniques for CIEDs. A variety of implantable and wearable devices that can diagnose and monitor patients with cardiovascular diseases are summarized, and various working mechanisms and principles of monitoring techniques for Telehealth and mHealth are discussed. In addition, future research directions are presented based on the rapidly evolving research landscape including Artificial Intelligence (AI).
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Affiliation(s)
- Sushil Shelke
- Division of Pharmacology and Pharmaceutics Sciences, School of Pharmacy, University of Missouri-Kansas City, Kansas City, Missouri, USA
| | - Krishna Veerubhotla
- Division of Pharmacology and Pharmaceutics Sciences, School of Pharmacy, University of Missouri-Kansas City, Kansas City, Missouri, USA
| | - Yugyung Lee
- Division of Computer Science, School of Science and Engineering, University of Missouri-Kansas City, Kansas City, Missouri, USA
| | - Chi H Lee
- Division of Pharmacology and Pharmaceutics Sciences, School of Pharmacy, University of Missouri-Kansas City, Kansas City, Missouri, USA
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Biersteker TE, Boogers MJ, Schalij MJ, Braun J, Groenwold RHH, Atsma DE, Treskes RW. Mobile health for cardiovascular risk management after cardiac surgery: results of a sub-analysis of The Box 2.0 study. EUROPEAN HEART JOURNAL. DIGITAL HEALTH 2023; 4:347-356. [PMID: 37538141 PMCID: PMC10393886 DOI: 10.1093/ehjdh/ztad035] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 12/22/2022] [Revised: 03/30/2023] [Indexed: 08/05/2023]
Abstract
Aims Lowering low-density lipoprotein (LDL-C) and blood pressure (BP) levels to guideline recommended values reduces the risk of major adverse cardiac events in patients who underwent coronary artery bypass grafting (CABG). To improve cardiovascular risk management, this study evaluated the effects of mobile health (mHealth) on BP and cholesterol levels in patients after standalone CABG. Methods and results This study is a post hoc analysis of an observational cohort study among 228 adult patients who underwent standalone CABG surgery at a tertiary care hospital in The Netherlands. A total of 117 patients received standard care, and 111 patients underwent an mHealth intervention. This consisted of frequent BP and weight monitoring with regimen adjustment in case of high BP. Primary outcome was difference in systolic BP and LDL-C between baseline and value after three months of follow-up. Mean age in the intervention group was 62.7 years, 98 (88.3%) patients were male. A total of 26 449 mHealth measurements were recorded. At three months, systolic BP decreased by 7.0 mmHg [standard deviation (SD): 15.1] in the intervention group vs. -0.3 mmHg (SD: 17.6; P < 0.00001) in controls; body weight decreased by 1.76 kg (SD: 3.23) in the intervention group vs. -0.31 kg (SD: 2.55; P = 0.002) in controls. Serum LDL-C was significantly lower in the intervention group vs. controls (median: 1.8 vs. 2.0 mmol/L; P = 0.0002). Conclusion This study showed an association between home monitoring after CABG and a reduction in systolic BP, body weight, and serum LDL-C. The causality of the association between the observed weight loss and decreased LDL-C in intervention group patients remains to be investigated.
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Affiliation(s)
- Tommas Evan Biersteker
- Department of Cardiology, Leiden University Medical Center, Albinusdreef 2, 2333 ZA Leiden, The Netherlands
| | - Mark J Boogers
- Department of Cardiology, Leiden University Medical Center, Albinusdreef 2, 2333 ZA Leiden, The Netherlands
| | | | - Jerry Braun
- Department of Cardiothoracic Surgery, Leiden University Medical Center, Albinusdreef 2, 2333 ZA Leiden, The Netherlands
| | - Rolf H H Groenwold
- Department of Clinical Epidemiology and Biomedical Data Sciences, Leiden University Medical Center, Albinusdreef 2, 2333 ZA Leiden, The Netherlands
| | - Douwe E Atsma
- Department of Cardiology, Leiden University Medical Center, Albinusdreef 2, 2333 ZA Leiden, The Netherlands
| | - Roderick Willem Treskes
- Department of Cardiology, Leiden University Medical Center, Albinusdreef 2, 2333 ZA Leiden, The Netherlands
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McLean KA, Knight SR, Diehl TM, Varghese C, Ng N, Potter MA, Zafar SN, Bouamrane MM, Harrison EM. Readiness for implementation of novel digital health interventions for postoperative monitoring: a systematic review and clinical innovation network analysis. Lancet Digit Health 2023; 5:e295-e315. [PMID: 37100544 DOI: 10.1016/s2589-7500(23)00026-2] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/02/2022] [Revised: 02/01/2023] [Accepted: 02/03/2023] [Indexed: 04/28/2023]
Abstract
An increasing number of digital health interventions (DHIs) for remote postoperative monitoring have been developed and evaluated. This systematic review identifies DHIs for postoperative monitoring and evaluates their readiness for implementation into routine health care. Studies were defined according to idea, development, exploration, assessment, and long-term follow-up (IDEAL) stages of innovation. A novel clinical innovation network analysis used coauthorship and citations to examine collaboration and progression within the field. 126 DHIs were identified, with 101 (80%) being early stage innovations (IDEAL stage 1 and 2a). None of the DHIs identified had large-scale routine implementation. There is little evidence of collaboration, and there are clear omissions in the evaluation of feasibility, accessibility, and the health-care impact. Use of DHIs for postoperative monitoring remains at an early stage of innovation, with promising but generally low-quality supporting evidence. Comprehensive evaluation within high-quality, large-scale trials and real-world data are required to definitively establish readiness for routine implementation.
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Affiliation(s)
- Kenneth A McLean
- Centre for Medical Informatics, Usher Institute, University of Edinburgh, Edinburgh, UK
| | - Stephen R Knight
- Centre for Medical Informatics, Usher Institute, University of Edinburgh, Edinburgh, UK
| | - Thomas M Diehl
- Department of Surgery, University of Wisconsin School of Medicine and Public Health, Madison, WI, USA
| | - Chris Varghese
- Department of Surgery, University of Auckland, Auckland, New Zealand
| | - Nathan Ng
- Centre for Medical Informatics, Usher Institute, University of Edinburgh, Edinburgh, UK
| | - Mark A Potter
- Colorectal Unit, Western General Hospital, Edinburgh, UK
| | - Syed Nabeel Zafar
- Department of Surgery, University of Wisconsin School of Medicine and Public Health, Madison, WI, USA
| | - Matt-Mouley Bouamrane
- Centre for Medical Informatics, Usher Institute, University of Edinburgh, Edinburgh, UK
| | - Ewen M Harrison
- Centre for Medical Informatics, Usher Institute, University of Edinburgh, Edinburgh, UK.
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