Evidence map›Paper›PMID 35822275›Full record

ArticleClinical cardiology2022

Pragmatic randomized trial assessing the impact of digital health technology on quality of life in patients with heart failure: Design, rationale and implementation.

Angela M Victoria-Castro, Melissa Martin, Yu Yamamoto, Tariq Ahmad, Tanima Arora, Frida Calderon, Nihar Desai, Brett Gerber, Kyoung A Lee, Daniel Jacoby and 7 more

Abstract readClinical Trial Protocol
In one paragraph

Article in Clinical cardiology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

5 citing papers in PubMed.

  1. Article
  2. Review
  3. Review
  4. Article
  5. Review
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

17 authors.

Angela M Victoria-CastroClinical and Translational Research Accelerator (CTRA), Department of Medicine, Yale University School of Medicine, New Haven, Connecticut, USA.
Melissa MartinClinical and Translational Research Accelerator (CTRA), Department of Medicine, Yale University School of Medicine, New Haven, Connecticut, USA.
Yu YamamotoClinical and Translational Research Accelerator (CTRA), Department of Medicine, Yale University School of Medicine, New Haven, Connecticut, USA.
Tariq AhmadDepartment of Medicine, Section of Cardiology, Yale University School of Medicine, New Haven, Connecticut, USA.
Tanima AroraClinical and Translational Research Accelerator (CTRA), Department of Medicine, Yale University School of Medicine, New Haven, Connecticut, USA.
Frida CalderonClinical and Translational Research Accelerator (CTRA), Department of Medicine, Yale University School of Medicine, New Haven, Connecticut, USA.
Nihar DesaiDepartment of Medicine, Section of Cardiology, Yale University School of Medicine, New Haven, Connecticut, USA.
Brett GerberClinical and Translational Research Accelerator (CTRA), Department of Medicine, Yale University School of Medicine, New Haven, Connecticut, USA.
Kyoung A LeeClinical and Translational Research Accelerator (CTRA), Department of Medicine, Yale University School of Medicine, New Haven, Connecticut, USA.
Daniel JacobyDepartment of Medicine, Section of Cardiology, Yale University School of Medicine, New Haven, Connecticut, USA.
Hannah MelchingerClinical and Translational Research Accelerator (CTRA), Department of Medicine, Yale University School of Medicine, New Haven, Connecticut, USA.
Andrew NguyenClinical and Translational Research Accelerator (CTRA), Department of Medicine, Yale University School of Medicine, New Haven, Connecticut, USA.
Melissa ShawClinical and Translational Research Accelerator (CTRA), Department of Medicine, Yale University School of Medicine, New Haven, Connecticut, USA.
Michael SimonovClinical and Translational Research Accelerator (CTRA), Department of Medicine, Yale University School of Medicine, New Haven, Connecticut, USA.
Alyssa WilliamsDepartment of Medicine, Section of Rheumatology, Allergy, and Immunology, Yale University School of Medicine, New Haven, Connecticut, USA.
Jason WeinsteinClinical and Translational Research Accelerator (CTRA), Department of Medicine, Yale University School of Medicine, New Haven, Connecticut, USA.
Francis P WilsonClinical and Translational Research Accelerator (CTRA), Department of Medicine, Yale University School of Medicine, New Haven, Connecticut, USA.

Funding

Yale Clinical and Translational Science Award (U Component)UL1TR001863 · NCATS · YALE UNIVERSITY · PI John H. Krystal, LUCILA OHNO-MACHADO · 2016 to 2026
$102.9M
Boehringer IngelheimNCATS NIH HHS UL1 TR001863
6 · The paper itself

Abstract

backgroundSelf-care and patient engagement are important elements of heart failure (HF) care, endorsed in the guidelines. Digital health tools may improve quality of life (QOL) in HF patients by promoting care, knowledge, and engagement. This manuscript describes the rationale and challenges of the design and implementation of a pragmatic randomized controlled trial to evaluate the efficacy of three digital health technologies in improving QOL for patients with HF. HYPOTHESIS: We hypothesize that digital health interventions will improve QOL of HF patients through the early detection of warning signs of disease exacerbation, the opportunity of self-tracking symptoms, and the education provided, which enhances patient empowerment.

methodsUsing a fully electronic enrollment and consent platform, the trial will randomize 200 patients across HF clinics in the Yale New Haven Health system to receive either usual care or one of three digital technologies designed to promote self-management and provide critical data to clinicians. The primary outcome is the change in QOL as assessed by the Kansas City Cardiomyopathy Questionnaire at 3 months.

resultsFirst enrollment occurred in September 2021. Recruitment was anticipated to last 6-8 months and participants were followed for 6 months after randomization. Our recruitment efforts have highlighted the large digital divide in our population of interest.

conclusionAssessing clinical outcomes, patient usability, and ease of clinical integration of digital technologies will be beneficial in determining the feasibility of the integration of such technologies into the healthcare system.

Indexed as

Heart FailureQuality of LifeBiomedical TechnologyDigital TechnologyHumansPragmatic Clinical Trials as TopicRandomized Controlled Trials as TopicSelf Caredigital health technologyheart failure

Identifiers

PMID35822275
PMCPMC9346973

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.