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Yoon M, Lee S, Choi JY, Jung MH, Youn JC, Shim CY, Choi JO, Kim EJ, Kim H, Yoo BS, Son YJ, Choi DJ. Effectiveness of a Smartphone App-Based Intervention With Bluetooth-Connected Monitoring Devices and a Feedback System in Heart Failure (SMART-HF Trial): Randomized Controlled Trial. J Med Internet Res 2024; 26:e52075. [PMID: 38683665 PMCID: PMC11091801 DOI: 10.2196/52075] [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: 08/22/2023] [Revised: 11/07/2023] [Accepted: 03/12/2024] [Indexed: 05/01/2024] Open
Abstract
BACKGROUND Current heart failure (HF) guidelines recommend a multidisciplinary approach, discharge education, and self-management for HF. However, the recommendations are challenging to implement in real-world clinical settings. OBJECTIVE We developed a mobile health (mHealth) platform for HF self-care to evaluate whether a smartphone app-based intervention with Bluetooth-connected monitoring devices and a feedback system can help improve HF symptoms. METHODS In this prospective, randomized, multicenter study, we enrolled patients 20 years of age and older, hospitalized for acute HF, and who could use a smartphone from 7 tertiary hospitals in South Korea. In the intervention group (n=39), the apps were automatically paired with Bluetooth-connected monitoring devices. The patients could enter information on vital signs, HF symptoms, diet, medications, and exercise regimen into the app daily and receive feedback or alerts on their input. In the control group (n=38), patients could only enter their blood pressure, heart rate, and weight using conventional, non-Bluetooth devices and could not receive any feedback or alerts from the app. The primary end point was the change in dyspnea symptom scores from baseline to 4 weeks, assessed using a questionnaire. RESULTS At 4 weeks, the change in dyspnea symptom score from baseline was significantly greater in the intervention group than in the control group (mean -1.3, SD 2.1 vs mean -0.3, SD 2.3; P=.048). A significant reduction was found in body water composition from baseline to the final measurement in the intervention group (baseline level mean 7.4, SD 2.5 vs final level mean 6.6, SD 2.5; P=.003). App adherence, which was assessed based on log-in or the percentage of days when symptoms were first observed, was higher in the intervention group than in the control group. Composite end points, including death, rehospitalization, and urgent HF visits, were not significantly different between the 2 groups. CONCLUSIONS The mobile-based health platform with Bluetooth-connected monitoring devices and a feedback system demonstrated improvement in dyspnea symptoms in patients with HF. This study provides evidence and rationale for implementing mobile app-based self-care strategies and feedback for patients with HF. TRIAL REGISTRATION ClinicalTrials.gov NCT05668000; https://clinicaltrials.gov/study/NCT05668000.
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Affiliation(s)
- Minjae Yoon
- Division of Cardiology, Department of Internal Medicine, Seoul National University Bundang Hospital, Seoul National University College of Medicine, Seognam, Republic of Korea
| | - Seonhwa Lee
- Division of Cardiology, Department of Internal Medicine, Keimyung University Dongsan Hospital, Daegu, Republic of Korea
| | - Jah Yeon Choi
- Cardiovascular Center, Korea University Guro Hospital, Korea University College of Medicine, Seoul, Republic of Korea
| | - Mi-Hyang Jung
- Division of Cardiology, Department of Internal Medicine, Seoul St. Mary's Hospital, Catholic Research Institute for Intractable Cardiovascular Disease, College of Medicine, The Catholic University of Korea, Seoul, Republic of Korea
| | - Jong-Chan Youn
- Division of Cardiology, Department of Internal Medicine, Seoul St. Mary's Hospital, Catholic Research Institute for Intractable Cardiovascular Disease, College of Medicine, The Catholic University of Korea, Seoul, Republic of Korea
| | - Chi Young Shim
- Division of Cardiology, Department of Internal Medicine, Severance Hospital, Yonsei University College of Medicine, Seoul, Republic of Korea
| | - Jin-Oh Choi
- Cardiac and Vascular Center, Samsung Medical Center, Sungkyunkwan University, Seoul, Republic of Korea
| | - Eung Ju Kim
- Cardiovascular Center, Korea University Guro Hospital, Korea University College of Medicine, Seoul, Republic of Korea
| | - Hyungseop Kim
- Division of Cardiology, Department of Internal Medicine, Keimyung University Dongsan Hospital, Daegu, Republic of Korea
| | - Byung-Su Yoo
- Department of Internal Medicine, Wonju Severance Christian Hospital, Yonsei University Wonju College of Medicine, Woonju, Republic of Korea
| | - Yeon Joo Son
- Healthcare Business Department, AI/DX Convergence Business Group, KT, Seoul, Republic of Korea
| | - Dong-Ju Choi
- Division of Cardiology, Department of Internal Medicine, Seoul National University Bundang Hospital, Seoul National University College of Medicine, Seognam, Republic of Korea
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Yokota T, Fukushima A, Tsuchihashi-Makaya M, Abe T, Takada S, Furihata T, Ishimori N, Fujino T, Kinugawa S, Ohta M, Kakinoki S, Yokota I, Endoh A, Yoshino M, Tsutsui H. The AppCare-HF randomized clinical trial: a feasibility study of a novel self-care support mobile app for individuals with chronic heart failure. EUROPEAN HEART JOURNAL. DIGITAL HEALTH 2023; 4:325-336. [PMID: 37538146 PMCID: PMC10393880 DOI: 10.1093/ehjdh/ztad032] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 06/13/2022] [Revised: 04/23/2023] [Accepted: 05/09/2023] [Indexed: 08/05/2023]
Abstract
Aims We evaluated a self-care intervention with a novel mobile application (app) in chronic heart failure (HF) patients. To facilitate patient-centred care in HF management, we developed a self-care support mobile app to boost HF patients' optimal self-care. Methods and results We conducted a multicentre, randomized, controlled study evaluating the feasibility of the self-care support mobile app designed for use by HF patients. The app consists of a self-monitoring assistant, education, and automated alerts of possible worsening HF. The intervention group received a tablet personal computer (PC) with the self-care support app installed, and the control group received a HF diary. All patients performed self-monitoring at home for 2 months. Their self-care behaviours were evaluated by the European Heart Failure Self-Care Behaviour Scale. We enrolled 24 outpatients with chronic HF (ages 31-78 years; 6 women, 18 men) who had a history of HF hospitalization. During the 2 month study period, the intervention group (n = 13) showed excellent adherence to the self-monitoring of each vital sign, with a median [interquartile range (IQR)] ratio of self-monitoring adherence for blood pressure, body weight, and body temperature at 100% (92-100%) and for oxygen saturation at 100% (91-100%). At 2 months, the intervention group's self-care behaviour score was significantly improved compared with the control group (n = 11) [median (IQR): 16 (16-22) vs. 28 (20-36), P = 0.02], but the HF Knowledge Scale, the General Self-Efficacy Scale, and the Short Form-8 Health Survey scores did not differ between the groups. Conclusion The novel mobile app for HF is feasible.
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Affiliation(s)
- Takashi Yokota
- Corresponding author. Tel: +81 11 706 6001, Fax: +81 11 706 7613,
| | - Arata Fukushima
- Department of Cardiovascular Medicine, Faculty of Medicine and Graduate School of Medicine, Hokkaido University, Kita-15 Nishi-7, Kita-Ku, Sapporo 060-8638, Japan
- Asabu Heart and Gastrointestinal Clinic, 1-1, Kita-40 Nishi-4, Kita-Ku, Sapporo 001-0040, Japan
| | - Miyuki Tsuchihashi-Makaya
- School of Nursing, Kitasato University, 2-1-1 Kitasato, Minamiku, Sagamihara, Kanagawa 252-0329, Japan
| | - Takahiro Abe
- Department of Rehabilitation, Hokkaido University Hospital, Kita-14 Nishi-5, Kita-Ku, Sapporo 060-8648, Japan
| | - Shingo Takada
- Department of Cardiovascular Medicine, Faculty of Medicine and Graduate School of Medicine, Hokkaido University, Kita-15 Nishi-7, Kita-Ku, Sapporo 060-8638, Japan
| | - Takaaki Furihata
- Department of Cardiovascular Medicine, Faculty of Medicine and Graduate School of Medicine, Hokkaido University, Kita-15 Nishi-7, Kita-Ku, Sapporo 060-8638, Japan
| | - Naoki Ishimori
- Department of Cardiovascular Medicine, Faculty of Medicine and Graduate School of Medicine, Hokkaido University, Kita-15 Nishi-7, Kita-Ku, Sapporo 060-8638, Japan
| | - Takeo Fujino
- Department of Cardiovascular Medicine, Faculty of Medical Sciences, Kyushu University, 3-1-1 Maidashi, Higashi-Ku, Fukuoka 812-8582, Japan
| | - Shintaro Kinugawa
- Department of Cardiovascular Medicine, Faculty of Medical Sciences, Kyushu University, 3-1-1 Maidashi, Higashi-Ku, Fukuoka 812-8582, Japan
- Division of Cardiovascular Medicine, Research Institute of Angiocardiology, Faculty of Medical Sciences, Kyushu University, 3-1-1 Maidashi, Higashi-Ku, Fukuoka 812-8582, Japan
| | - Masayuki Ohta
- Research and Development Group, Hitachi, Ltd., 1-280, Higashi-Koigakubo, Kokubunji, Tokyo 185-8601, Japan
| | - Shigeo Kakinoki
- Department of Cardiology, Otaru Kyokai Hospital, 6-15, 1-Chome, Suminoe, Otaru, Hokkaido 047-8510, Japan
| | - Isao Yokota
- Department of Biostatistics, Faculty of Medicine and Graduate School of Medicine, Hokkaido University, Kita-15 Nishi-7, Kita-Ku, Sapporo 060-8638, Japan
| | - Akira Endoh
- Department of Medical Informatics, Hokkaido University Hospital, Kita-14 Nishi-5, Kita-Ku, Sapporo 060-8648, Japan
| | - Masanori Yoshino
- Center of Innovation, Hokkaido University, Kita-21 Nishi-11, Kita-Ku, Sapporo 001-0021, Japan
| | - Hiroyuki Tsutsui
- Department of Cardiovascular Medicine, Faculty of Medical Sciences, Kyushu University, 3-1-1 Maidashi, Higashi-Ku, Fukuoka 812-8582, Japan
- Division of Cardiovascular Medicine, Research Institute of Angiocardiology, Faculty of Medical Sciences, Kyushu University, 3-1-1 Maidashi, Higashi-Ku, Fukuoka 812-8582, Japan
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mHealth Apps for Self-Management of Cardiovascular Diseases: A Scoping Review. Healthcare (Basel) 2022; 10:healthcare10020322. [PMID: 35206936 PMCID: PMC8872534 DOI: 10.3390/healthcare10020322] [Citation(s) in RCA: 6] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/29/2021] [Revised: 01/29/2022] [Accepted: 02/07/2022] [Indexed: 11/17/2022] Open
Abstract
The use of mHealth apps for the self-management of cardiovascular diseases (CVDs) is an increasing trend in patient-centered care. In this research, we conduct a scoping review of mHealth apps for CVD self-management within the period 2014 to 2021. Our review revolves around six main aspects of the current status of mHealth apps for CVD self-management: main CVDs managed, main app functionalities, disease stages managed, common approaches used for data extraction, analysis, management, common wearables used for CVD detection, monitoring and/or identification, and major challenges to overcome and future work remarks. Our review is based on Arksey and O’Malley’s methodological framework for conducting studies. Similarly, we adopted the PRISMA model for reporting systematic reviews and meta-analyses. Of the 442 works initially retrieved, the review comprised 38 primary studies. According to our results, the most common CVDs include arrhythmia (34%), heart failure (32%), and coronary heart disease (18%). Additionally, we found that the majority mHealth apps for CVD self-management can provide medical recommendations, medical appointments, reminders, and notifications for CVD monitoring. Main challenges in the use of mHealth apps for CVD self-management include overcoming patient reluctance to use the technology and achieving the interoperability of mHealth applications with other systems.
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