Key result
The HeartMan personal health system significantly improved self-care behavior (P=.02) and reduced depression and anxiety rates (P<.001) in patients with congestive heart failure.
Why the study?
Existing mobile apps supporting CHF self-management have limited features and are inadequately validated.
Does the HeartMan personal health system improve self-care behavior and psychological outcomes in patients with congestive heart failure?
RCT (n=56)
Does the HeartMan personal health system improve self-care behavior and psychological outcomes in patients with congestive heart failure?
p-value: p=.02
A proof-of-concept randomized controlled trial demonstrated that the HeartMan personal health system improved self-care behavior and psychological well-being in patients with congestive heart failure.
May improve self-care and mental health in stable CHF; leaves open mHealth efficacy pending larger trials on primary HRQoL endpoint.
BACKGROUND Congestive heart failure (CHF) is a disease that requires complex management involving multiple medications, exercise, and lifestyle changes. It mainly affects older patients with depression and anxiety, who commonly find management difficult. Existing mobile apps supporting the self-management of CHF have limited features and are inadequately validated. OBJECTIVE The HeartMan project aims to develop a personal health system that would comprehensively address CHF self-management by using sensing devices and artificial intelligence methods. This paper presents the design of the system and reports on the accuracy of its patient-monitoring methods, overall effectiveness, and patient perceptions. METHODS A mobile app was developed as the core of the HeartMan system, and the app was connected to a custom wristband and cloud services. The system features machine learning methods for patient monitoring: continuous blood pressure (BP) estimation, physical activity monitoring, and psychological profile recognition. These methods feed a decision support system that provides recommendations on physical health and psychological support. The system was designed using a human-centered methodology involving the patients throughout development. It was evaluated in a proof-of-concept trial with 56 patients. RESULTS Fairly high accuracy of the patient-monitoring methods was observed. The mean absolute error of BP estimation was 9.0 mm Hg for systolic BP and 7.0 mm Hg for diastolic BP. The accuracy of psychological profile detection was 88.6%. The F-measure for physical activity recognition was 71%. The proof-of-concept clinical trial in 56 patients showed that the HeartMan system significantly improved self-care behavior (P=.02), whereas depression and anxiety rates were significantly reduced (P<.001), as were perceived sexual problems (P=.01). According to the Unified Theory of Acceptance and Use of Technology questionnaire, a positive attitude toward HeartMan was seen among end users, resulting in increased awareness, self-monitoring, and empowerment. CONCLUSIONS The HeartMan project combined a range of advanced technologies with human-centered design to develop a complex system that was shown to help patients with CHF. More psychological than physical benefits were observed. CLINICALTRIAL ClinicalTrials.gov NCT03497871; https://clinicaltrials.gov/ct2/history/NCT03497871. INTERNATIONAL REGISTERED REPORT RR2-10.1186/s12872-018-0921-2
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Luštrek et al. (2020) conducted an RCT in Congestive heart failure (n=56). HeartMan personal health system was evaluated on self-care behavior (p=.02). The HeartMan personal health system significantly improved self-care behavior (P=.02) and reduced depression and anxiety rates (P<.001) in patients with congestive heart failure.
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