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Oxford University Press, European Heart Journal – Digital Health, 4(4), p. 325-336, 2023

DOI: 10.1093/ehjdh/ztad032

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The AppCare-HF randomized clinical trial: a feasibility study of a novel self-care support mobile app for individuals with chronic heart failure

This paper is made freely available by the publisher.
This paper is made freely available by the publisher.

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Abstract

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.