Evidence map›Paper›PMID 27116181›Full record

SynthesisTelemedicine journal and e-health : the official journal of the American Telemedicine Association2017

Remote Patient Monitoring via Non-Invasive Digital Technologies: A Systematic Review.

Ashok Vegesna, Melody Tran, Michele Angelaccio, Steve Arcona

Registry-linked trialAbstract readSystematic Review
In one paragraph

Synthesis in Telemedicine journal and e-health : the official journal of the American Telemedicine Association, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT06845007 (PROMBot), which is not on this map. Cited by 179 papers, 22 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
179citing papers in PubMed, 22 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.

NCT06845007 completednot on this mapstarted 2025, after this paper: background citation

PROMBot: A Web Platform for Collecting Patient-Reported Outcome Measures Via a Chatbot

TypeobservationalSponsorAna Rita LondralRan2025 to 2025Enrolled24ConditionsHypertension
3 · Its place in the literature

Who cites it

179 citing papers in PubMed, 22 syntheses or guidelines pooled it.

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  17. Remote symptom monitoring integrated into electronic health records: A systematic review.Journal of the American Medical Informatics Association : JAMIA · 2020
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  18. Quality of Life Framework for Personalised Ageing: A Systematic Review of ICT Solutions.International journal of environmental research and public health · 2020
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119 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

4 authors.

Ashok Vegesna1 Jefferson College of Population Health , Philadelphia, Pennsylvania.
Melody Tran2 Novartis Pharmaceuticals Corporation , East Hanover, New Jersey.
Michele Angelaccio2 Novartis Pharmaceuticals Corporation , East Hanover, New Jersey.
Steve Arcona2 Novartis Pharmaceuticals Corporation , East Hanover, New Jersey.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundWe conducted a systematic literature review to identify key trends associated with remote patient monitoring (RPM) via noninvasive digital technologies over the last decade. MATERIALS AND

methodsA search was conducted in EMBASE and Ovid MEDLINE. Citations were screened for relevance against predefined selection criteria based on the PICOTS (Population, Intervention, Comparator, Outcomes, Timeframe, and Study Design) format. We included studies published between January 1, 2005 and September 15, 2015 that used RPM via noninvasive digital technology (smartphones/personal digital assistants [PDAs], wearables, biosensors, computerized systems, or multiple components of the formerly mentioned) in evaluating health outcomes compared to standard of care or another technology. Studies were quality appraised according to Critical Appraisal Skills Programme.

resultsOf 347 articles identified, 62 met the selection criteria. Most studies were randomized control trials with older adult populations, small sample sizes, and limited follow-up. There was a trend toward multicomponent interventions (n = 26), followed by smartphones/PDAs (n = 12), wearables (n = 11), biosensor devices (n = 7), and computerized systems (n = 6). Another key trend was the monitoring of chronic conditions, including respiratory (23%), weight management (17%), metabolic (18%), and cardiovascular diseases (16%). Although substantial diversity in health-related outcomes was noted, studies predominantly reported positive findings.

conclusionsThis review will help decision makers develop a better understanding of the current landscape of peer-reviewed literature, demonstrating the utility of noninvasive RPM in various patient populations. Future research is needed to determine the effectiveness of RPM via noninvasive digital technologies in delivering patient healthcare benefits and the feasibility of large-scale implementation.

Indexed as

Chronic DiseaseMonitoring, AmbulatoryRemote Sensing TechnologyTelemedicinee-healthm-healthtelehealthtelemedicine

Identifiers

PMID27116181
PMCPMC5240011

What Socratic 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 Socratic graph.