Evidence map›Paper›PMID 41939727›Full record

ArticleLancet regional health. Americas2026

Remote digital intervention targeting heart failure medical therapy: a randomized controlled trial.

Adam D DeVore, Cynthia L Green, Nancy M Albert, Amir R Haghighat, Sunit-Preet Chaudhry, Hirak Shah, Mosi K Bennett, Tom Stanis, Ashul Govil, Trejeeve Martyn and 3 more

Abstract read
In one paragraph

Article in Lancet regional health. Americas, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

13 authors.

Adam D DeVoreDuke Clinical Research Institute, Duke University School of Medicine, Durham, NC, USA.
Cynthia L GreenDuke Clinical Research Institute, Duke University School of Medicine, Durham, NC, USA.
Nancy M AlbertNursing Institute and Kaufman Center for Heart Failure, Cleveland Clinic, Cleveland, OH, USA.
Amir R HaghighatCardiovascular Institute of Northwest Florida, Panama City, FL, USA.
Sunit-Preet ChaudhryAscension St. Vincent, Indianapolis, IN, USA.
Hirak ShahUniversity of Kansas Medical Center, Kansas City, KS, USA.
Mosi K BennettAllina Health Minneapolis Heart Institute, Minneapolis, MN, USA.
Tom StanisStory Health, Cupertino, CA, USA.
Ashul GovilStory Health, Cupertino, CA, USA.
Trejeeve MartynKaufman Center for Heart Failure, Department of Cardiovascular Medicine, Cleveland Clinic, Cleveland, OH, USA.
Jaime McDermottDepartment of Medicine, Duke University School of Medicine, Durham, NC, USA.
Mirza S KhanSaint Luke's Mid America Heart Institute, Kansas City, MO, USA.
Andrew J SauerSaint Luke's Mid America Heart Institute, Kansas City, MO, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Heart failure (HF) causes substantial morbidity and mortality, in part because evidence-based pharmacotherapies remain underused. Remote, asynchronous digital platforms may accelerate the initiation and titration of pharmacotherapies outside of traditional clinic visits; however, their efficacy and safety have not been adequately tested in randomized trials. Methods: VITAL-HF (Virtual Care to Improve Heart Failure Outcomes) was a multicenter, parallel-arm, unblinded, prospective, randomized controlled trial. The primary objective was to assess the effect of a remote, digital intervention targeting the use and titration of evidence-based therapies for HF. Adults ≥18 years old with stable HF with reduced ejection fraction (HFrEF), a left ventricular EF ≤ 40%, not yet optimized on HF therapy, and with smartphone access were eligible. Participants were randomized 1:1 using a randomization scheme generated by computer software and uploaded into a secure, web-based application to the digital intervention or usual care. Each participant in both treatment groups received a cellular-connected blood pressure cuff and scale. Participants were asked to measure vital signs and report symptoms daily. Data were transmitted to treating clinicians along with personalized treatment recommendations. Individualized care plans were developed by local clinicians and implemented with assistance from the digital platform and associated health coaches. Participants were then followed with study visits at 3 and 6 months after enrollment The primary outcome was the change in a HF medical therapy score (range 0-12) developed by the HF Collaboratory. Key secondary outcomes included other metrics of medication titration and clinical outcomes, such as those related to HF medication use (e.g., hyperkalemia). Findings: A total of 178 participants were randomized (90 intervention, 88 usual care) across 7 US sites. The median age was 66.4 (interquartile range [IQR], 56.1-73.1) years, 39% were women, 17% were Black, and the median left ventricular EF was 26% (IQR, 20-35). Baseline medical therapy included 84.8% beta-blockers, 48.9% angiotensin receptor neprilysin inhibitors, 48.9% mineralocorticoid receptor antagonists, and 47.2% sodium-glucose cotransporter 2 inhibitors. At six months, the mean HF Collaboratory score increased from 5.2 (±1.9) to 7.2 (±2.0) in the intervention group, a mean change of 2.0 (±2.4); and in the usual care group, the mean score increased from 4.8 (±2.5) to 6.3 (±2.1), a mean change of 1.4 (±2.2). The least squares mean difference between intervention and usual care scores was 0.78 (95% confidence interval, 0.21-1.34; p = 0.007). There were 4 possible safety events in the digital group and 7 in the usual care group. Interpretation: Among participants with HFrEF who were not yet optimized on medical therapy, use of a remote digital intervention outside routine clinical encounters was safe and improved the HF medical therapy score at six months compared to usual care. Funding: The VITAL-HF study was funded by Story Health.

Indexed as

Clinical trialsHeart failure

Identifiers

PMID41939727
PMCPMC13050095

What OpenQuestion holds

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.