Evidence map›Paper›PMID 37685445›Full record

ReviewHealthcare (Basel, Switzerland)2023

Digital Health for Patients Undergoing Cardiac Surgery: A Systematic Review.

Kevin A Wu, Sameer Kunte, Shashank Rajkumar, Vishal Venkatraman, Grace Kim, Samantha Kaplan, Syed Omar Anwar-Hashmi, Julie Doberne, Tom C Nguyen, Shivanand P Lad

Open access · goldAbstract readReview
In one paragraph

Review in Healthcare (Basel, Switzerland), 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed
3.7field-weighted citation impact, top 6% 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

12 citing papers in PubMed, 17 citations in OpenAlex.

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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

10 authors at 5 institutions in 1 country.

Kevin A WuDepartment of Surgery, Duke University School of Medicine, Durham, NC 27710, USA.
Sameer KunteDepartment of Surgery, Duke University School of Medicine, Durham, NC 27710, USA.ORCID 0000-0002-5235-5941
Shashank RajkumarDepartment of Neurosurgery, Yale University, New Haven, CT 06510, USA.
Vishal VenkatramanDepartment of Surgery, Duke University School of Medicine, Durham, NC 27710, USA.
Grace KimDepartment of Surgery, Duke University School of Medicine, Durham, NC 27710, USA.ORCID 0009-0008-3564-4435
Samantha KaplanMedical Center Library & Archives, Duke University School of Medicine, Durham, NC 27710, USA.
Syed Omar Anwar-HashmiDepartment of Surgery, Loyola University Chicago's Stritch School of Medicine, Maywood, IL 60153, USA.
Julie DoberneDivision of Cardiovascular and Thoracic Surgery, Department of Surgery, Duke University Medical Center, Durham, NC 27707, USA.
Tom C NguyenDivision of Adult Cardiothoracic Surgery, Department of Surgery, UCSF Health, San Francisco, CA 94143, USA.
Shivanand P LadDepartment of Neurosurgery, Duke University Medical Center, Durham, NC 27710, USA.
Duke University · USDuke Medical Center · USLoyola University Chicago · USUniversity of California, San Francisco · USYale University · US

Funding

Summer Research Experience for Medical Students in Inflammation and Infectious DiseasesT35AI125220 · NIAID · LOYOLA UNIVERSITY CHICAGO · PI Edward M. Campbell, Simon Kaja · 2017 to 2026
$510k
NIAID NIH HHS T35 AI125220
6 · The paper itself

Abstract

Digital health interventions have shown promise in improving patient outcomes and experiences in various healthcare settings. However, their effectiveness in the context of cardiac surgery remains uncertain. This systematic review aims to evaluate the existing evidence on the use of digital health interventions for patients undergoing cardiac surgery. A comprehensive search of PubMed MEDLINE, Elsevier EMBASE, Elsevier Scopus databases, and ClinicalTrials.gov was conducted to identify relevant studies published up to the present. Studies that examined the effects of digital health interventions, including mobile applications and web-based interventions, on perioperative care and patient outcomes in cardiac surgery were included. The data were extracted and synthesized to provide a comprehensive overview of the findings. The search yielded 15 studies composed of 4041 patients, analyzing the feasibility and implementation of mobile or internet applications for patients undergoing cardiac surgery. The studies included the use of mobile applications (ManageMySurgery, SeamlessMD, mHeart, Telediaglog, ExSed, Soulage Tavie, Heart Health application, and Mayo Clinic Health Connection) and web-based interventions (Heartnet and Active Heart). The findings indicated that these digital health interventions were associated with improved patient engagement, satisfaction, and reduced healthcare utilization. Patients reported finding the interventions helpful in their recovery process, and there was evidence of enhanced symptom monitoring and timely intervention. The completion rates of modules varied depending on the phase of care, with higher engagement observed during the acute phase. Interest in using digital health applications was expressed by patients, regardless of age, gender, or complexity of the cardiac defect. The results demonstrated that web-based interventions resulted in improvements in mental health, quality of life, and eHealth literacy. This systematic review highlights the potential benefits of digital health interventions in the context of cardiac surgery. Further research, including randomized controlled trials, is needed to establish the effectiveness, feasibility, and generalizability of digital health interventions in cardiac surgery.

Indexed as

cardiac surgerydigital healthmobile applicationspatient engagementpatient outcomesperioperative caresystematic reviewweb-based interventions

Identifiers

PMID37685445
PMCPMC10487407
OpenAlexW4386219722

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.