Evidence map›Paper›PMID 34770244›Full record

ArticleInternational journal of environmental research and public health2021

A Sensor-Based mHealth Platform for Remote Monitoring and Intervention of Frailty Patients at Home.

Jorge Calvillo-Arbizu, David Naranjo-Hernández, Gerardo Barbarov-Rostán, Alejandro Talaminos-Barroso, Laura M Roa-Romero, Javier Reina-Tosina

Abstract read
In one paragraph

Article in International journal of environmental research and public health, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
–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.

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

9 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
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

6 authors.

Jorge Calvillo-ArbizuBiomedical Engineering Group, University of Seville, 41092 Seville, Spain.ORCID 0000-0003-1277-3310
David Naranjo-HernándezBiomedical Engineering Group, University of Seville, 41092 Seville, Spain.ORCID 0000-0002-7636-2855
Gerardo Barbarov-RostánBiomedical Engineering Group, University of Seville, 41092 Seville, Spain.
Alejandro Talaminos-BarrosoBiomedical Engineering Group, University of Seville, 41092 Seville, Spain.
Laura M Roa-RomeroBiomedical Engineering Group, University of Seville, 41092 Seville, Spain.
Javier Reina-TosinaBiomedical Engineering Group, University of Seville, 41092 Seville, Spain.ORCID 0000-0002-6853-4899

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Frailty syndrome is an independent risk factor for serious health episodes, disability, hospitalization, falls, loss of mobility, and cardiovascular disease. Its high reversibility demands personalized interventions among which exercise programs are highly efficient to contribute to its delay. Information technology-based solutions to support frailty have been recently approached, but most of them are focused on assessment and not on intervention. This paper describes a sensor-based mHealth platform integrated in a service-based architecture inside the FRAIL project towards the remote monitoring and intervention of pre-frail and frail patients at home. The aim of this platform is constituting an efficient and scalable system for reducing both the impact of aging and the advance of frailty syndrome. Among the results of this work are: (1) the development of elderly-focused sensors and platform; (2) a technical validation process of the sensor devices and the mHealth platform with young adults; and (3) an assessment of usability and acceptability of the devices with a set of pre-frail and frail patients. After the promising results obtained, future steps of this work involve performing a clinical validation in order to quantify the impact of the platform on health outcomes of frail patients.

Indexed as

FrailtyTelemedicineAccidental FallsAgedExerciseFrail ElderlyGeriatric AssessmentHumansactivity recognitionfall detectionfrailtyhealth information technologymHealthsensors

Identifiers

PMID34770244
PMCPMC8583636

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.