Evidence map›Paper›PMID 35235834›Full record

ArticleAmerican heart journal2022

Virtual AppLication-supported Environment To INcrease Exercise (VALENTINE) during cardiac rehabilitation study: Rationale and design.

V Swetha Jeganathan, Jessica R Golbus, Kashvi Gupta, Evan Luff, Walter Dempsey, Thomas Boyden, Melvyn Rubenfire, Brahmar Mukherjee, Predrag Klasnja, Sachin Kheterpal and 1 more

Registry-linked trialAbstract readClinical Trial Protocol
PubMed Full text at PMC Publisher
In one paragraph

Article in American heart journal, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT04587882 (Virtual AppLication-supported ENvironment To INcrease Exercise During Cardiac Rehabilitation Study), which is not on this map. Cited by 14 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed, 1 pooled it
–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.

NCT04587882 nacompletednot on this map

Virtual AppLication-supported ENvironment To INcrease Exercise During Cardiac Rehabilitation Study

TypeinterventionalSponsorUniversity of MichiganRan2020 to 2022Enrolled223ConditionsHeart Diseases, Cardiovascular DiseasesArmsTelehealth, Control
3 · Its place in the literature

Who cites it

14 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
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  7. Article
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  11. A Robust Mixed-Effects Bandit Algorithm for Assessing Mobile Health Interventions.Advances in neural information processing systems · 2024
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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

11 authors.

V Swetha JeganathanDivision of Cardiovascular Diseases, Department of Internal Medicine, University of Michigan, Ann Arbor, MI.
Jessica R GolbusDivision of Cardiovascular Diseases, Department of Internal Medicine, University of Michigan, Ann Arbor, MI; Michigan Integrated Center for Health Analytics and Medical Prediction (MiCHAMP), University of Michigan, Ann Arbor, MI. Electronic address: jgolbus@med.umich.edu.
Kashvi GuptaMichigan Integrated Center for Health Analytics and Medical Prediction (MiCHAMP), University of Michigan, Ann Arbor, MI; Department of Internal Medicine, University of Missouri Kansas City, Kansas City, MO.
Evan LuffDivision of Cardiovascular Diseases, Department of Internal Medicine, University of Michigan, Ann Arbor, MI.
Walter DempseyDepartment of Biostatistics, University of Michigan School of Public Health, Ann Arbor, MI.
Thomas BoydenDivision of Cardiovascular Diseases, Department of Internal Medicine, Spectrum Health, Grand Rapids, MI.
Melvyn RubenfireDivision of Cardiovascular Diseases, Department of Internal Medicine, University of Michigan, Ann Arbor, MI.
Brahmar MukherjeeSchool of Public Health, University of Michigan, Ann Arbor, MI.
Predrag KlasnjaSchool of Information, University of Michigan, Ann Arbor, MI.
Sachin KheterpalDepartment of Anesthesiology, University of Michigan, Ann Arbor, MI.
Brahmajee K NallamothuDivision of Cardiovascular Diseases, Department of Internal Medicine, University of Michigan, Ann Arbor, MI; Michigan Integrated Center for Health Analytics and Medical Prediction (MiCHAMP), University of Michigan, Ann Arbor, MI; The Center for Clinical Management and Research, Ann Arbor VA Medical Center, Ann Arbor, MI.

Funding

Pilot and Mentoring CoreP50DA054039 · NIDA · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI LINDA M COLLINS, SUSAN A MURPHY · 2021 to 2026
$18.2M
Leveraging ML algorithms and data integration techniques to improve efficiency of causal moderation analyses of micro-randomized trial dataR01GM152549 · NIGMS · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI Walter Dempsey · 2024 to 2026
$918k
NIDA NIH HHS P50 DA054039NIGMS NIH HHS R01 GM152549
6 · The paper itself

Abstract

backgroundIn-person, exercise-based cardiac rehabilitation improves physical activity and reduces morbidity and mortality for patients with cardiovascular disease. However, activity levels may not be optimized and decline over time after patients graduate from cardiac rehabilitation. Scalable interventions through mobile health (mHealth) technologies have the potential to augment activity levels and extend the benefits of cardiac rehabilitation.

methodsThe VALENTINE Study is a prospective, randomized-controlled, remotely-administered trial designed to evaluate an mHealth intervention to supplement cardiac rehabilitation for low- and moderate-risk patients (ClinicalTrials.gov NCT04587882). Participants are randomized to the control or intervention arms of the study. Both groups receive a compatible smartwatch (Fitbit Versa 2 or Apple Watch 4) and usual care. Participants in the intervention arm of the study additionally receive a just-in-time adaptive intervention (JITAI) delivered as contextually tailored notifications promoting low-level physical activity and exercise throughout the day. In addition, they have access to activity tracking and goal setting through the mobile study application and receive weekly activity summaries via email. The primary outcome is change in 6-minute walk distance at 6-months and, secondarily, change in average daily step count. Exploratory analyses will examine the impact of notifications on immediate short-term smartwatch-measured step counts and exercise minutes.

conclusionsThe VALENTINE study leverages innovative techniques in behavioral and cardiovascular disease research and will make a significant contribution to our understanding of how to support patients using mHealth technologies to promote and sustain physical activity.

Indexed as

Cardiac RehabilitationCardiovascular DiseasesExerciseFitness TrackersHumansProspective StudiesRandomized Controlled Trials as Topic

Identifiers

PMID35235834
PMCPMC12434840

What OpenQuestion holds

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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.