Evidence map›Paper›PMID 26873093›Full record

ReviewEuropean heart journal2016

Mobile technology and the digitization of healthcare.

Sanjeev P Bhavnani, Jagat Narula, Partho P Sengupta

4 registry-linked trialsOpen access · bronzeAbstract readReview
PubMed Full text at PMC Publisher
In one paragraph

Review in European heart journal, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to 4 registered trials, which are not on this map. Cited by 183 papers, 14 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
183citing papers in PubMed, 14 pooled it
59.5field-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.

NCT02388386 nacompletednot on this map

Pilot Study of Wireless Observed Therapy With an Ingestible Micro-Sensor Among Patients With Heart Failure and Left Ventricular Assist Devices

TypeinterventionalSponsorScripps Translational Science InstituteRan2015 to 2016Enrolled10ConditionsHeart Failure, Medication ComplianceArmsPROTEUS-SENSOR
NCT02881398 phase2 / phase3completednot on this map

A Randomized Trial of Pocket-Echocardiography Integrated Mobile Health Device Assessments in Modern Structural Heart Disease Clinics

TypeinterventionalSponsorSri Sathya Sai Institute of Higher Medical SciencesRan2014 to 2016Enrolled253ConditionsRheumatic Heart Disease, Heart DiseasesArmsmHealth, Standard-Care
NCT03662802 completednot on this mapstarted 2018, after this paper: background citation

Development of a Novel Convolution Neural Network for Arrhythmia Classification for Shockable Cardiac Rhythms

Typeobservational_patient_registrySponsorScripps ClinicRan2018 to 2020Enrolled25,458ConditionsArrhythmias, Cardiac, Cardiac Arrest, Cardiac ArrythmiasArmsNeural Network Classifier
NCT03713333 nacompletednot on this mapstarted 2018, after this paper: background citation

Implementation of High Definition Screening Using Handheld Imaging and Digital Health Technologies Within a Learning Health System to Identify Cardiovascular Disease at the Point-of-care: The ASE-INNOVATE Program

TypeinterventionalSponsorScripps HealthRan2018 to 2020Enrolled374ConditionsCardiovascular Diseases, Hypertension, Heart Failure, Atrial FibrillationArmsDigital Health Device Diagnostics
3 · Its place in the literature

Who cites it

183 citing papers in PubMed, 14 syntheses or guidelines pooled it, 475 citations in OpenAlex.

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  6. Mobile technologies for rehabilitation in non-specific spinal disorders: a systematic review of the efficacy and potential for implementation in low- and middle-income countries.European spine journal : official publication of the European Spine Society, the European Spinal Deformity Society, and the European Section of the Cervical Spine Research Society · 2023
    Pooled it
  7. Nurse-led telehealth interventions for symptom management in patients with cancer receiving systemic or radiation therapy: a systematic review and meta-analysis.Supportive care in cancer : official journal of the Multinational Association of Supportive Care in Cancer · 2022
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123 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

3 authors at 2 institutions in 1 country.

Sanjeev P BhavnaniScripps Health and the Scripps Clinic Division of Cardiology, La Jolla, CA, USA.
Jagat NarulaThe Zena and Michael A. Wiener Cardiovascular Institute, Icahn School of Medicine at Mount Sinai, One Gustave L. Levy Place, PO Box 1030, New York, NY 10029, USA.
Partho P SenguptaThe Zena and Michael A. Wiener Cardiovascular Institute, Icahn School of Medicine at Mount Sinai, One Gustave L. Levy Place, PO Box 1030, New York, NY 10029, USA partho.sengupta@mountsinai.org.
Icahn School of Medicine at Mount Sinai · USScripps Health · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The convergence of science and technology in our dynamic digital era has resulted in the development of innovative digital health devices that allow easy and accurate characterization in health and disease. Technological advancements and the miniaturization of diagnostic instruments to modern smartphone-connected and mobile health (mHealth) devices such as the iECG, handheld ultrasound, and lab-on-a-chip technologies have led to increasing enthusiasm for patient care with promises to decrease healthcare costs and to improve outcomes. This 'hype' for mHealth has recently intersected with the 'real world' and is providing important insights into how patients and practitioners are utilizing digital health technologies. It is also raising important questions regarding the evidence supporting widespread device use. In this state-of-the-art review, we assess the current literature of mHealth and aim to provide a framework for the advances in mHealth by understanding the various device, patient, and clinical factors as they relate to digital health from device designs and patient engagement, to clinical workflow and device regulation. We also outline new strategies for generation and analysis of mHealth data at the individual and population-based levels.

Indexed as

Delivery of Health CareBiomedical TechnologyHumansSmartphoneTelemedicineDigital healthMedical technologymHealthPatient-generated dataSensors

Identifiers

PMID26873093
PMCPMC4914890
OpenAlexW2291994988

What OpenQuestion holds

Textmetadata
Read underepoch 390

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.