ArticleJournal of clinical medicine2023
Patient Perspectives on Digital Interventions to Manage Heart Failure Medications: The VITAL-HF Pilot.
Article in Journal of clinical medicine, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.
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.
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.
Who cites it
5 citing papers in PubMed.
- Digital consults in heart failure care: a randomized controlled trial.Nature medicine · 2024Trial
- Patterns of Adherence and Persistence to Triple and Quadruple Guideline-Directed Medical Therapy Among US Patients With Heart Failure With Reduced Ejection Fraction.Journal of the American Heart Association · 2026Observational
- Review
- Non-Pharmacological Treatment of Heart Failure-From Physical Activity to Electrical Therapies: A Literature Review.Journal of cardiovascular development and disease · 2024Review
- Digital Solutions to Optimize Guideline-Directed Medical Therapy Prescriptions in Heart Failure Patients: Current Applications and Future Directions.Current heart failure reports · 2024Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
8 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Use of guideline-directed medical therapy (GDMT) for treatment of heart failure with reduced ejection fraction (HFrEF) remains unacceptably low. The purpose of this study was to determine whether a digital health tool can augment GDMT for patients with HFrEF. Participants ≥ 18 years old with symptomatic HFrEF (left ventricular ejection fraction ≤ 40%) and with access to a mobile phone with internet were included. Participants were given a blood pressure cuff, instructed in its use, and given regular symptom surveys via cell-phone web-link. Data were transmitted to the Story Health web-based platform, and automated alerts were triggered based on pre-specified vital sign and laboratory data. Health coaches assisted patients with medication education, pharmacy access, and lab access through text messages and phone calls. GDMT titration plans were individually created in the digital platform by local clinicians based on entry vitals and labs. Twelve participants enrolled and completed the study. The median age and LVEF were 52.5 years (IQR, 46.5-63.5) and 25% (IQR, 22.5-35.5), respectively. There were 10 GDMT initiations, 52 up-titrations, and 13 down-titrations. Five participants engaged in focus-group interviews following study completion to understand first-hand perspectives regarding the use of digital tools to manage GDMT. Participants expressed comfort knowing that there were clinicians regularly reviewing their data. This alleviated concerns of uncertainty in daily living, led to an increased feeling of security, and empowered patients to understand decision-making regarding GDMT. Frequent medication changes, and the associated financial impact, were common concerns. Remote titration of GDMT for HFrEF is feasible and appears to be a patient-centered approach to care.
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Registered trials
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.