Evidence map›Paper›PMID 36502170›Full record

ArticleSensors (Basel, Switzerland)2022

Usability of the REHOME Solution for the Telerehabilitation in Neurological Diseases: Preliminary Results on Motor and Cognitive Platforms.

Claudia Ferraris, Irene Ronga, Roberto Pratola, Guido Coppo, Tea Bosso, Sara Falco, Gianluca Amprimo, Giuseppe Pettiti, Simone Lo Priore, Lorenzo Priano and 2 more

Open access · goldAbstract read
In one paragraph

Article in Sensors (Basel, Switzerland), 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed, 1 pooled it
1.2field-weighted citation impact, top 20% 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

7 citing papers in PubMed, 1 synthesis or guideline pooled it, 14 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Article
  4. Article
  5. Article
  6. Review
  7. 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

12 authors at 6 institutions in 1 country.

Claudia FerrarisInstitute of Electronics, Computer and Telecommunication Engineering, National Research Council, 10129 Turin, Italy.ORCID 0000-0001-5381-4794
Irene RongaBraIn Plasticity and Behaviour Changes Research Group, Department of Psychology, University of Turin, 10124 Turin, Italy.
Roberto PratolaEngineering Ingegneria Informatica S.p.A., 00144 Rome, Italy.ORCID 0000-0002-5529-3491
Guido CoppoSynarea Consultants s.r.l., 10153 Turin, Italy.
Tea BossoBraIn Plasticity and Behaviour Changes Research Group, Department of Psychology, University of Turin, 10124 Turin, Italy.
Sara FalcoBraIn Plasticity and Behaviour Changes Research Group, Department of Psychology, University of Turin, 10124 Turin, Italy.
Gianluca AmprimoInstitute of Electronics, Computer and Telecommunication Engineering, National Research Council, 10129 Turin, Italy.ORCID 0000-0003-4061-8211
Giuseppe PettitiInstitute of Electronics, Computer and Telecommunication Engineering, National Research Council, 10129 Turin, Italy.ORCID 0000-0003-0547-0143
Simone Lo PrioreSynarea Consultants s.r.l., 10153 Turin, Italy.
Lorenzo PrianoIstituto Auxologico Italiano, IRCCS, Department of Neurology and Neurorehabilitation, S. Giuseppe Hospital, 20123 Milan, Italy.
Alessandro MauroIstituto Auxologico Italiano, IRCCS, Department of Neurology and Neurorehabilitation, S. Giuseppe Hospital, 20123 Milan, Italy.ORCID 0000-0001-9072-7454
Debora DesideriEngineering Ingegneria Informatica S.p.A., 00144 Rome, Italy.ORCID 0000-0002-1903-0707
Azienda Ospedaliera Citta' della Salute e della Scienza di Torino · ITEngineering (Italy) · ITInstitute of Electronics, Computer and Telecommunication Engineering · ITIRCCS Istituto Auxologico Italiano · ITPolitecnico di Torino · ITUniversity of Turin · IT

Funding

Regione Piemonte ROP Piemonte (Italy) ERDF 2014-2020
6 · The paper itself

Abstract

The progressive aging of the population and the consequent growth of individuals with neurological diseases and related chronic disabilities, will lead to a general increase in the costs and resources needed to ensure treatment and care services. In this scenario, telemedicine and e-health solutions, including remote monitoring and rehabilitation, are attracting increasing interest as tools to ensure the sustainability of the healthcare system or, at least, to support the burden for health care facilities. Technological advances in recent decades have fostered the development of dedicated and innovative Information and Communication Technology (ICT) based solutions, with the aim of complementing traditional care and treatment services through telemedicine applications that support new patient and disease management strategies. This is the background for the REHOME project, whose technological solution, presented in this paper, integrates innovative methodologies and devices for remote monitoring and rehabilitation of cognitive, motor, and sleep disorders associated with neurological diseases. One of the primary goals of the project is to meet the needs of patients and clinicians, by ensuring continuity of treatment from healthcare facilities to the patient's home. To this end, it is important to ensure the usability of the solution by elderly and pathological individuals. Preliminary results of usability and user experience questionnaires on 70 subjects recruited in three experimental trials are presented here.

Indexed as

Nervous System DiseasesTelemedicineTelerehabilitationAgedCognitionDelivery of Health CareHumanshealth care platformmotor and cognitive rehabilitationneurological diseasesremote monitoringsleep disorderstelemedicinetelerehabilitation

Identifiers

PMID36502170
PMCPMC9740672
OpenAlexW4311626842

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.