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
Authors
- Phillip H Hwang (ORCID: https://orcid.org/0000-0001-6780-6808)
- Nisha Aggarwal Gilotra (ORCID: https://orcid.org/0000-0002-4511-8008)
- Seth Shay Martin (ORCID: https://orcid.org/0000-0002-7021-7622)
- Jessica R. Golbus (ORCID: https://orcid.org/0000-0002-9538-3926)
- Aradhana Verma (ORCID: https://orcid.org/0000-0002-8877-2325)
- Brad Trumpower (ORCID: https://orcid.org/0000-0001-7322-4548)
- Brahmajee K. Nallamothu (ORCID: https://orcid.org/0000-0003-4331-6649)
- Michael P. Dorsch (ORCID: https://orcid.org/0000-0003-2910-1879)
- Grant Alexander Wilson (ORCID: https://orcid.org/0000-0002-0213-725X)
- Paul Schmiedmayer (ORCID: https://orcid.org/0000-0002-8607-9148)
- Fatima Rodriguez
- Erin M. Spaulding (ORCID: https://orcid.org/0000-0001-8390-2277)
- Evan Luff (ORCID: https://orcid.org/0009-0004-4582-0034)
- Alexander T. Sandhu (ORCID: https://orcid.org/0000-0003-3208-1143)
- Tanima Basu (ORCID: https://orcid.org/0000-0002-5846-7557)
- Zahra Azizi (ORCID: https://orcid.org/0009-0009-9092-4111)
- Sabah Ganai (ORCID: https://orcid.org/0000-0003-1338-8385)
- Manvi Poddar (ORCID: https://orcid.org/0009-0004-4840-2065)
- Henry Zhao (ORCID: https://orcid.org/0000-0003-4961-5121)
- Paul Kraft
- Margaret O'Neill
Institutions
- 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)
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
Funders
- American Heart Association