A Multicenter Randomized Controlled Trial of a Digital Health Intervention for Medication Optimization in Heart Failure: The ENGAGE-HF Trial Outcomes

Background: Despite clear evidence that guideline-directed medical therapy (GDMT) significantly reduces mortality and hospitalizations in patients with heart failure (HF) with reduced and mildly reduced ejection fraction, real-world implementation remains suboptimal. Digital health interventions may promote GDMT titration after hospital discharge. Methods: The ENGAGE-HF trial was a multicenter, two-arm, open-label, randomized controlled trial across three academic centers, funded by the AHA Strategically Focused Research Network (SFRN) for Health Technology and Innovation. Patients recently hospitalized with HF, with or without a primary hospital diagnosis of HF, and LVEF <50% receiving suboptimal GDMT were randomized 1:1 to either the ENGAGE-HF app or usual care for 90 days. The ENGAGE-HF intervention consisted of a patient-facing mobile app and a clinician dashboard overseen by study coordinators. The primary outcome was the Medication Optimization Score (MOS, scale 0-100%) at 90 days. Secondary outcomes were individual GDMT therapies and the Kansas City Cardiomyopathy Questionnaire Clinical Summary Score at 90 days. Results: A total of 134 participants were randomized. At 90 days, the adjusted MOS was significantly higher in the ENGAGE-HF group compared to the control group (83.7% vs. 74.0%, p = 0.010). Results remained consistent across multiple sensitivity analyses. Overall prescribing prevalence increased more in the ENGAGE-HF group for MRAs (+15.9 vs. +2.5 percentage points) and SGLT2 inhibitors (+10.9 vs. +2.5 percentage points). Furthermore, the ENGAGE-HF group demonstrated greater increases in achieving target doses for ARNI (+18.8% vs. +6.3%) and beta-blockers (+8.5% vs. +0.6%). KCCQ-23 CSS at 90 days was 75.2 (SE 2.6) in the intervention group versus 72.2 (SE 2.6) in the control group (between-group p = 0.40). Conclusions: ENGAGE-HF, a digital health intervention that integrates remote monitoring, patient engagement, and clinical decision support, significantly improved GDMT optimization at 90 days compared with usual care among patients with HF. Registration: URL: https://clinicaltrials.gov Unique Identifier: NCT06750549

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Publication Details

Journal
Circulation Heart Failure
Published
2026-11-08
DOI
https://doi.org/10.1161/circheartfailure.126.015192
Primary Topic
Heart Failure Treatment and Management
Type
article
Field-Weighted Citation Impact
0.00

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article

A Multicenter Randomized Controlled Trial of a Digital Health Intervention for Medication Optimization in Heart Failure: The ENGAGE-HF Trial Outcomes

Phillip H Hwang, Nisha Aggarwal Gilotra, Seth Shay Martin, Jessica R. Golbus et al.
4 links
Circulation Heart Failure
Heart Failure Treatment and Management
article

A Multicenter Randomized Controlled Trial of a Digital Health Intervention for Medication Optimization in Heart Failure: The ENGAGE-HF Trial Outcomes

Phillip H Hwang, Nisha Aggarwal Gilotra, Seth Shay Martin, Jessica R. Golbus, Aradhana Verma, Brad Trumpower, Brahmajee K. Nallamothu, Michael P. Dorsch, Grant Alexander Wilson, Paul Schmiedmayer, Fatima Rodriguez, Erin M. Spaulding, Evan Luff, Alexander T. Sandhu, Tanima Basu, Zahra Azizi, Sabah Ganai, Manvi Poddar, Henry Zhao, Paul Kraft, Margaret O'Neill
article en

Abstract

Background: Despite clear evidence that guideline-directed medical therapy (GDMT) significantly reduces mortality and hospitalizations in patients with heart failure (HF) with reduced and mildly reduced ejection fraction, real-world implementation remains suboptimal. Digital health interventions may promote GDMT titration after hospital discharge. Methods: The ENGAGE-HF trial was a multicenter, two-arm, open-label, randomized controlled trial across three academic centers, funded by the AHA Strategically Focused Research Network (SFRN) for Health Technology and Innovation. Patients recently hospitalized with HF, with or without a primary hospital diagnosis of HF, and LVEF <50% receiving suboptimal GDMT were randomized 1:1 to either the ENGAGE-HF app or usual care for 90 days. The ENGAGE-HF intervention consisted of a patient-facing mobile app and a clinician dashboard overseen by study coordinators. The primary outcome was the Medication Optimization Score (MOS, scale 0-100%) at 90 days. Secondary outcomes were individual GDMT therapies and the Kansas City Cardiomyopathy Questionnaire Clinical Summary Score at 90 days. Results: A total of 134 participants were randomized. At 90 days, the adjusted MOS was significantly higher in the ENGAGE-HF group compared to the control group (83.7% vs. 74.0%, p = 0.010). Results remained consistent across multiple sensitivity analyses. Overall prescribing prevalence increased more in the ENGAGE-HF group for MRAs (+15.9 vs. +2.5 percentage points) and SGLT2 inhibitors (+10.9 vs. +2.5 percentage points). Furthermore, the ENGAGE-HF group demonstrated greater increases in achieving target doses for ARNI (+18.8% vs. +6.3%) and beta-blockers (+8.5% vs. +0.6%). KCCQ-23 CSS at 90 days was 75.2 (SE 2.6) in the intervention group versus 72.2 (SE 2.6) in the control group (between-group p = 0.40). Conclusions: ENGAGE-HF, a digital health intervention that integrates remote monitoring, patient engagement, and clinical decision support, significantly improved GDMT optimization at 90 days compared with usual care among patients with HF. Registration: URL: https://clinicaltrials.gov Unique Identifier: NCT06750549

Circulation Heart Failure
Boston University (US), Johns Hopkins University (US), University of California, Los Angeles (US), University of Michigan (US), Michigan Medicine (US), VA Greater Los Angeles Healthcare System (US), Stanford University (US)
American Heart Association
Good health and well-being
Heart Failure Treatment and Management
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