Evidence map›Paper›PMID 41919982›Full record

Trial reportThe Journal of cardiovascular nursing

A Virtual Reality-Based Cognitive Restorative Intervention Using Nature to Improve Attention, Self-Care, and Health-Related Quality of Life in Heart Failure.

Miyeon Jung, Liana G Apostolova, Debra K Moser, Irmina Gradus-Pizlo, Sujuan Gao, Jeff L Rogers, Elham Y Algashgari, Suzanne Wang, Asa B Smith, Kelly N H Nudelman and 2 more

Abstract readRandomized Controlled Trial
In one paragraph

Trial report in The Journal of cardiovascular nursing. 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

12 authors.

Miyeon JungMiyeon Jung, PhD, RN, Associate Professor, Indiana University School of Nursing, Indianapolis.
Liana G ApostolovaLiana G. Apostolova, MD, MSc, Professor, Indiana University School of Medicine, Neurology, Radiology, Medical and Molecular Genetics, Indianapolis.
Debra K MoserDebra K. Moser, PhD, RN, Professor, The University of Tennessee College of Nursing, Knoxville.
Irmina Gradus-PizloIrmina Gradus-Pizlo, MD, Clinical Professor, Department of Cardiology, University of California Irvine School of Medicine, Orange.
Sujuan GaoSujuan Gao, PhD, Professor, Department of Biostatistics and Health Data Science, Indiana University School of Medicine, Indianapolis.
Jeff L RogersJeff L. Rogers, BS, Manager, Indiana University University Information Technology Services-IU3D Department, Indianapolis.
Elham Y AlgashgariElham Y. Algashgari, PhD, RN, Assistant Professor, Jazan University College of Nursing and Health Sciences, Saudi Arabia.
Suzanne WangSuzanne Wang, BSN, RN, Research Assistant, Indiana University School of Nursing, Indianapolis.
Asa B SmithAsa B. Smith, PhD, RN, Assistant Professor, Indiana University School of Nursing, Indianapolis.
Kelly N H NudelmanKelly N. H. Nudelman, PhD, Assistant Research Professor, Indiana University School of Medicine, Medical and Molecular Genetics, Indianapolis.
Susan OfnerSusan Ofner, MS, Biostatistician, Department of Biostatistics and Health Data Science, Indiana University, Indianapolis.
Susan J PresslerSusan J. Pressler, PhD, RN, Professor Emerita, Indiana University School of Nursing, Indianapolis.

Funding

Virtual Reality and Computerized Cognitive Intervention for Mild Cognitive Impairment in Heart FailureK76AG074940 · NIA · INDIANA UNIVERSITY INDIANAPOLIS · PI Miyeon Jung · 2022 to 2026
$1.2M
American Heart Association-American Stroke Association 13PRE13840002NIA NIH HHS K76 AG074940
6 · The paper itself

Abstract

backgroundCognitive dysfunction is prevalent and predictive of worse health outcomes among people with heart failure (HF).

objectiveThe purpose of this study was to test the preliminary efficacy of the newly developed virtual reality-based cognitive restorative intervention using nature environments (Nature-VR) on improving attention, HF self-care, and health-related quality of life (HRQL) compared with the active control condition using urban environments (Urban-VR). Intervention effects were explored on other cognitive domains.

methodsA 2-group single-blind pilot randomized controlled trial design was used. Participants randomized to Nature-VR viewed spherical images of nature environments on a virtual reality headset for 10 minutes/day, 5 days/week for 4 weeks (200 images total). Participants randomized to Urban-VR viewed spherical images of urban environments matched to Nature-VR intervention delivery mode and time. Data were collected at baseline, 4, 8, 26, and 52 weeks.

resultsOf 73 participants, 68 (93%) completed the intervention or control condition. Fifty-one (70%) completed the study. Linear mixed models showed no significant group-by-time interactions on attention, HF self-care, or HRQL. Significant time effects were found on HF self-care (all scales, P < .001). Executive function measured by Verbal Fluency Test-Letter F improved more among participants in Nature-VR than those in Urban-VR at 4 weeks ( P = .041) after adjusting covariates.

conclusionsPreliminary efficacy of Nature-VR compared with Urban-VR was not demonstrated for attention, HF self-care, and HRQL. There was preliminary evidence of improved executive function at 4 weeks. Factors associated with intervention responsiveness and strategies to optimize cognitive interventions should be considered.

Indexed as

AttentionHeart FailureQuality of LifeSelf CareVirtual RealityAgedCognitive TrainingFemaleHumansMaleMiddle AgedPilot ProjectsSingle-Blind Methodattentionclinical trialcognitionheart failurevirtual reality

Identifiers

PMID41919982
PMCPMC13456553

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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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.