Key result
Patient-facing mHealth alerts cut heart failure alert burden ~22% compared with standard care.
Why the study?
Whether direct patient-facing HeartLogic alerts improve outcomes in worsening heart failure is unknown.
Does direct patient-facing early-warning alerts based on device multiparameter monitoring improve alert burden, usability, and outcomes compared to standard care in patients with HeartLogic-enabled CIEDs?
RCT (n=160)
1:1
No
Does direct patient-facing early-warning alerts based on device multiparameter monitoring improve alert burden, usability, and outcomes compared to standard care in patients with HeartLogic-enabled CIEDs?
Relative Risk: 0.78
Absolute Event Rate: 96.5% vs 123.5%
p-value: p=0.038
A patient-facing mHealth strategy providing early-warning alerts from device-based multiparameter monitoring significantly reduced alert burden and heart failure hospitalizations.
Aim HeartLogic (HL) is a validated multiparameter index in Boston Scientific cardiac implantable electronic devices that detects worsening heart failure (HF). However, clinician-mediated remote monitoring may delay action. Whether direct patient-facing HL alerts improve outcomes is unknown. Method Prospective, pragmatic, single-centre randomised pilot trial. Adults with HL-enabled CIEDs were allocated 1:1 to mHealth plus standard care or standard care alone. The intervention delivered weekly traffic-light notifications (Green HL <16; Amber ≥16 without symptoms; Red ≥16 with symptoms) with plain-language self-care advice. Co-primary outcomes were feasibility, usability (Mobile App Usability Questionnaire [MAUQ]), and HL recovery (alert burden and time to normalisation). Secondary outcomes included HF, and all-cause hospitalisations, 6-minute walk distance (6MWD), and N-terminal pro-B-type natriuretic peptide (NT-proBNP). Analyses were intention-to-treat. Results A total of 160 patients were enrolled (81 intervention, 79 control; mean age 65±11 years; 77% male) with median follow-up 1.82 years. Feasibility was high (80% enrolment; >85% retention), with MAUQ ≥5/7 in 78-90%. The intervention reduced HL alerts (96.5 vs 123.5 events per 100-patient-years; IRR 0.78; p=0.038) and increased non-alert days (+13%; p=0.021). Time-to-first hospitalisation favoured intervention: all-cause (HR 0.51; p=0.020), HF (HR 0.35; p=0.029). Recurrent HF hospitalisations were markedly reduced (IRR 0.17; p=0.002). The intervention improved 6MWD by 36–61 m and reduced NT-proBNP by 45%. Conclusion A patient-facing, HL-guided mHealth strategy significantly reduced alert burden and both first and recurrent hospitalizations, with clinically meaningful improvements in functional capacity and biomarkers. These findings support closing the detection–delivery gap in remote HF monitoring through direct patient engagement.
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Assad et al. (2026) conducted an RCT in Heart Failure (n=160). Patient-facing mHealth early-warning alerts plus standard care vs. Standard care alone was evaluated on HeartLogic recovery (alert burden, measured in events per 100-patient-years) (IRR 0.78, p=0.038). Patient-facing mHealth alerts for worsening heart failure reduced alert burden (IRR 0.78; P=0.038) and time to first heart failure hospitalisation (HR 0.35; P=0.029) versus standard care.
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