Evidence map›Paper›PMID 25232478›Full record

ArticleArchives of public health = Archives belges de sante publique2014

Smart wearable body sensors for patient self-assessment and monitoring.

Geoff Appelboom, Elvis Camacho, Mickey E Abraham, Samuel S Bruce, Emmanuel Lp Dumont, Brad E Zacharia, Randy D'Amico, Justin Slomian, Jean Yves Reginster, Olivier Bruyère and 1 more

Registry-linked trialOpen access · goldAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Archives of public health = Archives belges de sante publique, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT03646435 (Use of Fitbit Charge 2 in Hospitalized General Medicine Patients to Monitor Health Outcomes), which is not on this map. Cited by 117 papers, 4 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
117citing papers in PubMed, 4 pooled it
18.2field-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.

NCT03646435 nacompletednot on this mapstarted 2019, after this paper: background citation

Use of Fitbit Charge 2 in Hospitalized General Medicine Patients to Monitor Health Outcomes

TypeinterventionalSponsorUniversity Health Network, TorontoRan2019 to 2019Enrolled50ConditionsHospitalizationsArmsFitbit Charge 2
3 · Its place in the literature

Who cites it

117 citing papers in PubMed, 4 syntheses or guidelines pooled it, 461 citations in OpenAlex.

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57 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

11 authors at 5 institutions in 3 countries.

Geoff AppelboomNeurodigital Initiative, Columbia University, Department of Neurological Surgery, 630 West 168th Street, New York, NY 10032, USA.
Elvis CamachoNeurodigital Initiative, Columbia University, Department of Neurological Surgery, 630 West 168th Street, New York, NY 10032, USA.
Mickey E AbrahamNeurodigital Initiative, Columbia University, Department of Neurological Surgery, 630 West 168th Street, New York, NY 10032, USA.
Samuel S BruceThe Joan and Irwin Jacobs Technion-Cornell Innovation Institute, Cornell NYC Tech 111 8th Avenue #302, New York, NY 10011, USA.
Emmanuel Lp DumontThe Joan and Irwin Jacobs Technion-Cornell Innovation Institute, Cornell NYC Tech 111 8th Avenue #302, New York, NY 10011, USA.
Brad E ZachariaNeurodigital Initiative, Columbia University, Department of Neurological Surgery, 630 West 168th Street, New York, NY 10032, USA.
Randy D'AmicoBartoli Brain Tumor Research Laboratory, Columbia University Irving Cancer Research Center Columbia University Medical Center, 1130 St. Nicholas Ave., New York, NY 10032, USA.
Justin SlomianDepartment of Public Health, Epidemiology and Health Economics, University of Liège, Liège, Belgium and Support Unit in Epidemiology and Biostatistics, Department of Public Health Sciences, University of Liège, Liège, Belgium.
Jean Yves ReginsterDepartment of Public Health, Epidemiology and Health Economics, University of Liège, Liège, Belgium and Support Unit in Epidemiology and Biostatistics, Department of Public Health Sciences, University of Liège, Liège, Belgium.
Olivier BruyèreDepartment of Public Health, Epidemiology and Health Economics, University of Liège, Liège, Belgium and Support Unit in Epidemiology and Biostatistics, Department of Public Health Sciences, University of Liège, Liège, Belgium.
E Sander ConnollyNeurodigital Initiative, Columbia University, Department of Neurological Surgery, 630 West 168th Street, New York, NY 10032, USA.
The Neurological Institute · USUniversity of Liège · BEColumbia University Irving Medical Center · USCornell University · USTechnion – Israel Institute of Technology · IL

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundInnovations in mobile and electronic healthcare are revolutionizing the involvement of both doctors and patients in the modern healthcare system by extending the capabilities of physiological monitoring devices. Despite significant progress within the monitoring device industry, the widespread integration of this technology into medical practice remains limited. The purpose of this review is to summarize the developments and clinical utility of smart wearable body sensors.

methodsWe reviewed the literature for connected device, sensor, trackers, telemonitoring, wireless technology and real time home tracking devices and their application for clinicians.

resultsSmart wearable sensors are effective and reliable for preventative methods in many different facets of medicine such as, cardiopulmonary, vascular, endocrine, neurological function and rehabilitation medicine. These sensors have also been shown to be accurate and useful for perioperative monitoring and rehabilitation medicine.

conclusionAlthough these devices have been shown to be accurate and have clinical utility, they continue to be underutilized in the healthcare industry. Incorporating smart wearable sensors into routine care of patients could augment physician-patient relationships, increase the autonomy and involvement of patients in regards to their healthcare and will provide for novel remote monitoring techniques which will revolutionize healthcare management and spending.

Indexed as

eHealthMobile healthPatient educationQuantified patientSensors

Identifiers

PMID25232478
PMCPMC4166023
OpenAlexW2145216788

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.