Evidence map›Paper›PMID 33555259›Full record

SynthesisJournal of medical Internet research2021

Digital Health Interventions for Cardiac Rehabilitation: Systematic Literature Review.

Shannon Wongvibulsin, Evagelia E Habeos, Pauline P Huynh, Helen Xun, Rongzi Shan, Kori A Porosnicu Rodriguez, Jane Wang, Yousuf K Gandapur, Ngozi Osuji, Lochan M Shah and 9 more

Open access · goldAbstract readSystematic Review
In one paragraph

Synthesis in Journal of medical Internet research, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 96 papers, 11 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
96citing papers in PubMed, 11 pooled it
11.1field-weighted citation impact, top 1% of its field
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

96 citing papers in PubMed, 11 syntheses or guidelines pooled it, 166 citations in OpenAlex.

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  6. Benefits of Using Smartphones and Other Digital Methods in Achieving Better Cardiac Rehabilitation Goals: A Systematic Review and Meta-Analysis.Medical science monitor : international medical journal of experimental and clinical research · 2023
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36 more citing papers are in PubMed but not listed here.

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

19 authors at 5 institutions in 3 countries.

Shannon WongvibulsinJohns Hopkins University School of Medicine, Baltimore, MD, United States.ORCID 0000-0002-1390-7440
Evagelia E HabeosUniversity of Patras School of Medicine, Patras, Greece.ORCID 0000-0001-5124-0942
Pauline P HuynhJohns Hopkins University School of Medicine, Baltimore, MD, United States.ORCID 0000-0001-5878-1442
Helen XunJohns Hopkins University School of Medicine, Baltimore, MD, United States.ORCID 0000-0002-0412-4356
Rongzi ShanCiccarone Center for the Prevention of Cardiovascular Disease, Division of Cardiology, Department of Medicine, Johns Hopkins University School of Medicine, Baltimore, MD, United States.ORCID 0000-0002-0445-5702
Kori A Porosnicu RodriguezJohns Hopkins University School of Medicine, Baltimore, MD, United States.ORCID 0000-0003-3770-1479
Jane WangJohns Hopkins University School of Medicine, Baltimore, MD, United States.ORCID 0000-0001-9295-3818
Yousuf K GandapurMedstar Franklin Square Hospital, Baltimore, MD, United States.ORCID 0000-0001-5984-2956
Ngozi OsujiCiccarone Center for the Prevention of Cardiovascular Disease, Division of Cardiology, Department of Medicine, Johns Hopkins University School of Medicine, Baltimore, MD, United States.ORCID 0000-0002-4772-8213
Lochan M ShahJohns Hopkins University School of Medicine, Baltimore, MD, United States.ORCID 0000-0002-2947-8687
Erin M SpauldingJohns Hopkins School of Nursing, Baltimore, MD, United States.ORCID 0000-0001-8390-2277
George HungJohns Hopkins University School of Medicine, Baltimore, MD, United States.ORCID 0000-0002-9150-935X
Kellen KnowlesDepartment of Medicine, Johns Hopkins Bayview Medical Center, Baltimore, MD, United States.ORCID 0000-0001-5690-0196
William E YangJohns Hopkins University School of Medicine, Baltimore, MD, United States.ORCID 0000-0002-9912-8543
Francoise A MarvelCiccarone Center for the Prevention of Cardiovascular Disease, Division of Cardiology, Department of Medicine, Johns Hopkins University School of Medicine, Baltimore, MD, United States.ORCID 0000-0002-6422-1772
Eleanor LevinDepartment of Medicine, Division of Cardiology, Stanford University School of Medicine, Stanford, CA, United States.ORCID 0000-0001-9405-6301
David J MaronStanford Prevention Research Center, Stanford University School of Medicine, Stanford, CA, United States.ORCID 0000-0002-4867-8588
Neil F GordonINTERVENT International, Savannah, GA, United States.ORCID 0000-0002-9450-0326
Seth S MartinCiccarone Center for the Prevention of Cardiovascular Disease, Division of Cardiology, Department of Medicine, Johns Hopkins University School of Medicine, Baltimore, MD, United States.ORCID 0000-0002-7021-7622
Johns Hopkins University · USStanford University · USMedStar Franklin Square Medical Center · USUniversity of Patras · GRUniversity of the Witwatersrand · ZA

Funding

MEDICAL SCIENTIST TRAINING PROGRAMT32GM007309 · NIGMS · JOHNS HOPKINS UNIVERSITY · PI COX, ANDREA L · 1985 to 2019
$43.2M
Sex Hormones in Pulmonary Arterial HypertensionP01HL108800 · NHLBI · VANDERBILT UNIVERSITY MEDICAL CENTER · PI HEMNES, ANNA R · 2012 to 2021
$22.0M
NRSA Training CoreTL1TR003100 · NCATS · JOHNS HOPKINS UNIVERSITY · PI SAHA, SOMNATH · 2019 to 2023
$4.5M
Interdisciplinary Training in Cardiovascular Health ResearchT32NR012704 · NINR · JOHNS HOPKINS UNIVERSITY · PI ALLEN, JERILYN K · 2011 to 2020
$1.8M
Sudden Cardiac Arrest (SCA): Prediction and PreventionF30HL142131 · NHLBI · JOHNS HOPKINS UNIVERSITY · PI WONGVIBULSIN, SHANNON · 2018 to 2020
$135k
The Process of User Engagement with mHealthF31NR017328 · NINR · JOHNS HOPKINS UNIVERSITY · PI SPAULDING, ERIN MURDOCK · 2017 to 2019
$129k
NCATS NIH HHS TL1 TR003100NHLBI NIH HHS F30 HL142131NHLBI NIH HHS P01 HL108800NIGMS NIH HHS T32 GM007309NINR NIH HHS F31 NR017328NINR NIH HHS T32 NR012704
6 · The paper itself

Abstract

backgroundCardiovascular disease (CVD) is the leading cause of death worldwide. Despite strong evidence supporting the benefits of cardiac rehabilitation (CR), over 80% of eligible patients do not participate in CR. Digital health technologies (ie, the delivery of care using the internet, wearable devices, and mobile apps) have the potential to address the challenges associated with traditional facility-based CR programs, but little is known about the comprehensiveness of these interventions to serve as digital approaches to CR. Overall, there is a lack of a systematic evaluation of the current literature on digital interventions for CR.

objectiveThe objective of this systematic literature review is to provide an in-depth analysis of the potential of digital health technologies to address the challenges associated with traditional CR. Through this review, we aim to summarize the current literature on digital interventions for CR, identify the key components of CR that have been successfully addressed through digital interventions, and describe the gaps in research that need to be addressed for sustainable and scalable digital CR interventions.

methodsOur strategy for identifying the primary literature pertaining to CR with digital solutions (defined as technology employed to deliver remote care beyond the use of the telephone) included a consultation with an expert in the field of digital CR and searches of the PubMed (MEDLINE), Embase, CINAHL, and Cochrane databases for original studies published from January 1990 to October 2018.

resultsOur search returned 31 eligible studies, of which 22 were randomized controlled trials. The reviewed CR interventions primarily targeted physical activity counseling (31/31, 100%), baseline assessment (30/31, 97%), and exercise training (27/31, 87%). The most commonly used modalities were smartphones or mobile devices (20/31, 65%), web-based portals (18/31, 58%), and email-SMS (11/31, 35%). Approximately one-third of the studies addressed the CR core components of nutrition counseling, psychological management, and weight management. In contrast, less than a third of the studies addressed other CR core components, including the management of lipids, diabetes, smoking cessation, and blood pressure.

conclusionsDigital technologies have the potential to increase access and participation in CR by mitigating the challenges associated with traditional, facility-based CR. However, previously evaluated interventions primarily focused on physical activity counseling and exercise training. Thus, further research is required with more comprehensive CR interventions and long-term follow-up to understand the clinical impact of digital interventions.

Indexed as

Cardiac RehabilitationHumansMobile ApplicationsTelemedicinecardiac rehabilitationdigital technologiesmHealthmobile phonetelemedicine

Identifiers

PMID33555259
PMCPMC7899799
OpenAlexW3111561709

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.