Evidence map›Paper›PMID 38944905›Full record

ArticleNursing outlook

Leveraging digital health technologies in heart failure self-care interventions to improve health equity.

Rachel Tunis, Emily West, Namuun Clifford, Sharon Horner, Kavita Radhakrishnan

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Nursing outlook. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

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

5 authors.

Rachel TunisSchool of Information, The University of Texas at Austin, Austin, TX; School of Nursing, The University of Texas at Austin, Austin, TX. Electronic address: rtunis@utexas.edu.
Emily WestSchool of Nursing, The University of Texas at Austin, Austin, TX.
Namuun CliffordSchool of Nursing, The University of Texas at Austin, Austin, TX.
Sharon HornerSchool of Nursing, The University of Texas at Austin, Austin, TX.
Kavita RadhakrishnanSchool of Nursing, The University of Texas at Austin, Austin, TX.

Funding

Sensor-controlled digital game for heart failure self-management behavior adherence: A randomized controlled trialR01HL160692 · NHLBI · UNIVERSITY OF TEXAS AT AUSTIN · PI RADHAKRISHNAN, KAVITA · 2022 to 2025
$2.8M
Precision Health Intervention Methodology Training in Self-Management of Multiple Chronic ConditionsT32NR019035 · NINR · UNIVERSITY OF TEXAS AT AUSTIN · PI STUIFBERGEN, ALEXA · 2020 to 2024
$995k
NHLBI NIH HHS R01 HL160692NINR NIH HHS T32 NR019035
6 · The paper itself

Abstract

For patients with heart failure, self-care is crucial, but recommendations for self-care are often not adhered to. Digital health interventions have the potential to help patients improve their self-care and, ultimately, their health outcomes, but without careful examination, digital interventions may generate further inequality. In this study, we use a digital health equity framework to examine challenges and opportunities related to digital health interventions across many domains of influence that may affect health equity. We draw from our own experience in conducting a decentralized clinical trial with multiple sensors and apps to help patients with heart failure improve adherence to key self-care behaviors. Finally, we provide recommendations for leveraging digital health interventions in research and practice to address health equity.

Indexed as

Health EquityHeart FailureSelf CareAgedAged, 80 and overBiomedical TechnologyDigital HealthDigital TechnologyFemaleHumansMaleMiddle AgedMobile ApplicationsTelemedicineDecentralized trialsDigital health technologyDisparitiesHealth equityHeart failureSelf-careSelf-management

Identifiers

PMID38944905
PMCPMC11490373

What OpenQuestion holds

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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.