Evidence map›Paper›PMID 34450850›Full record

ReviewSensors (Basel, Switzerland)2021

Smart Health-Enhanced Early Mobilisation in Intensive Care Units.

Maria Ferre, Edgar Batista, Agusti Solanas, Antoni Martínez-Ballesté

Open access · goldAbstract readReview
In one paragraph

Review in Sensors (Basel, Switzerland), 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
1.3field-weighted citation impact, top 21% 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

5 citing papers in PubMed, 12 citations in OpenAlex.

  1. Review
  2. Review
  3. Article
  4. Article
  5. Review
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 at 1 institution in 1 country.

Maria FerreDepartment of Computer Engineering and Mathematics, Universitat Rovira i Virgili, E43007 Tarragona, Catalonia, Spain.ORCID 0000-0003-2600-1362
Edgar BatistaDepartment of Computer Engineering and Mathematics, Universitat Rovira i Virgili, E43007 Tarragona, Catalonia, Spain.ORCID 0000-0002-8046-6016
Agusti SolanasDepartment of Computer Engineering and Mathematics, Universitat Rovira i Virgili, E43007 Tarragona, Catalonia, Spain.ORCID 0000-0002-4881-6215
Antoni Martínez-BallestéDepartment of Computer Engineering and Mathematics, Universitat Rovira i Virgili, E43007 Tarragona, Catalonia, Spain.ORCID 0000-0002-1787-7410
Universitat Rovira i Virgili · ES

Funding

Agència de Gestió d'Ajuts Universitaris i de Recerca 2020PANDE00103European Cooperation in Science and Technology COST action 19121Generalitat de Catalunya 2017-SGR-896Ministerio de Ciencia y Tecnología RTI2018-095499-B-C32Universitat Rovira i Virgili 2017PFR-URV-B2-41
6 · The paper itself

Abstract

Critically ill patients that stay in Intensive Care Units (ICU) for long periods suffer from Post-Intensive Care Syndrome or ICU Acquired Weakness, whose effects can decrease patients' quality of life for years. To prevent such issues and aiming at shortening intensive care treatments, Early Mobilisation (EM) has been proposed as an encouraging technique: the literature includes numerous examples of the benefits of EM on the prevention of post-operative complications and adverse events. However, the appropriate application of EM programmes entails the use of scarce resources, both human and technical. Information and Communication Technologies can play a key role in reducing cost and improving the practice of EM. Although there is rich literature on EM practice and its potential benefits, there are some barriers that must be overcome, and technology, i.e., the use of sensors, robotics or information systems, can contribute to that end. This article reviews the literature and analyses on the use of technology in the area of EM, and moreover, it proposes a smart health-enhanced scenario.

Indexed as

Early AmbulationQuality of LifeCritical IllnessHumansIntensive Care Unitscontext-aware computingearly mobilisationsensorssmart health

Identifiers

PMID34450850
PMCPMC8399902
OpenAlexW3192355057

What Socratic 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 Socratic graph.