Evidence map›Paper›PMID 39240405›Full record

ReviewHeart failure reviews2024

Digital health as a tool for patient activation and improving quality of care for heart failure.

Aradhana Verma, Zahra Azizi, Alexander T Sandhu

Abstract readReview
PubMed Publisher
In one paragraph

Review in Heart failure reviews, 2024. 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

3 authors.

Aradhana VermaDivision of Cardiovascular Medicine, Department of Medicine, Stanford University, 870 Quarry Road, Stanford, CA, 94305, USA.
Zahra AziziDivision of Cardiovascular Medicine, Department of Medicine, Stanford University, 870 Quarry Road, Stanford, CA, 94305, USA.
Alexander T SandhuDivision of Cardiovascular Medicine, Department of Medicine, Stanford University, 870 Quarry Road, Stanford, CA, 94305, USA. ats114@stanford.edu.

Funding

The Effect of Value-based Payment on Heart Failure Quality of Care (Value-HF)K23HL151672 · NHLBI · STANFORD UNIVERSITY · PI SANDHU, ALEXANDER · 2020 to 2024
$854k
NHLBI NIH HHS 1K23HL151672
6 · The paper itself

Abstract

The clinical and economic impact of heart failure (HF) is immense and will continue to rise due to the increasing prevalence of the disease. Despite the availability of guideline-recommended medications that improve mortality, reduce hospitalizations, and enhance quality of life, there are major gaps in the implementation of such care. Quality improvement interventions have generally focused on clinicians. While certain interventions have had modest success in improving the use of heart failure medications, they remain insufficient in optimizing HF care. Here, we discuss how patient-facing interventions can add value and supplement clinician-centered interventions. We discuss how digital health can be leveraged to create patient activation tools that create a larger, sustainable impact. Small studies have suggested the promise of digital tools for patient engagement and self-care, but there are also important barriers to the adoption of such interventions that we describe. We share key principles and strategies around the design and implementation of digital health innovations to maximize patient participation and engagement. By uniquely activating patients in their own care, digital health can unlock the full potential of both existing and new quality improvement initiatives to drive forward high-quality and equitable heart failure care.

Indexed as

Heart FailurePatient ParticipationQuality ImprovementDigital HealthHumansQuality of Health CareQuality of LifeSelf CareTelemedicineDigital healthHeart failureQuality of care

Identifiers

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

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.