Evidence map›Paper›PMID 39702315›Full record

ArticleBMC health services research2024

Advancing public health through technological rehabilitation: insights from a national clinician survey.

Marianna Capecci, Marialuisa Gandolfi, Sofia Straudi, Rocco Salvatore Calabrò, Nicolò Baldini, Lucia Pepa, Elisa Andrenelli, Nicola Smania, Maria Gabriella Ceravolo, Giovanni Morone and 2 more

Abstract read
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In one paragraph

Article in BMC health services research, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed, 2 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.

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

4 citing papers in PubMed, 2 syntheses or guidelines pooled it.

  1. Pooled it
  2. Pooled it
  3. Review
  4. 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.

Marianna CapecciDepartment of Experimental and Clinical Medicine, Neurorehabilitation Clinic, University Hospital of Marche, University Politecnica Delle Marche, Ancona, Italy.
Marialuisa GandolfiDepartment of Neurosciences, Biomedicine and Movement Sciences, University of Verona, Verona, Italy.
Sofia StraudiDepartment of Neuroscience and Rehabilitation, University of Ferrara, Ferrara, Italy.
Rocco Salvatore CalabròIRCCS Centro Neurolesi "Bonino Pulejo", Messina, Italy. roccos.calabro@irccsme.it.
Nicolò BaldiniDepartment of Experimental and Clinical Medicine, Neurorehabilitation Clinic, University Hospital of Marche, University Politecnica Delle Marche, Ancona, Italy.
Lucia PepaDepartment of Information Engineering, University Politecnica Delle Marche, Ancona, Italy.
Elisa AndrenelliDepartment of Experimental and Clinical Medicine, Neurorehabilitation Clinic, University Hospital of Marche, University Politecnica Delle Marche, Ancona, Italy.
Nicola SmaniaDepartment of Neurosciences, Biomedicine and Movement Sciences, University of Verona, Verona, Italy.
Maria Gabriella CeravoloDepartment of Experimental and Clinical Medicine, Neurorehabilitation Clinic, University Hospital of Marche, University Politecnica Delle Marche, Ancona, Italy.
Giovanni MoroneDepartment of Life, Health and Environmental Sciences, University of L'Aquila, L'Aquila, Italy.
Donatella BonaiutiGolgi Redaelli Istitute, Milan, Italy.
HTA section of SIMFER (Italian Society of Physical and Rehabilitation Medicine)

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionIn the evolving healthcare landscape, technology has emerged as a key component in enhancing system efficiency and offering new avenues for patient rehabilitation. Despite its growing importance, detailed information on technology's specific use, types, and applications in clinical rehabilitation settings, particularly within the Italian framework, remains unclear. This study aimed to explore the use of technology and its needs by Physical Medicine and Rehabilitation medical doctors in Italy.

methodsWe conducted a cross-sectional online survey aimed at 186 Italian clinicians affiliated with the Italian Society of Physical and Rehabilitation Medicine (SIMFER). The online questionnaire consists of 71 structured questions designed to collect demographic and geographical data of the respondents, as well as detailed insights into the prevalence and range of technologies they use, together with their specific applications in clinical settings."

resultsA broad range of technologies, predominantly commercial medical devices, has been documented. These technologies are employed for various conditions, including common neurological diseases, musculoskeletal disorders, dementia, and rheumatologic issues. The application of these technologies indicates a broadening scope beyond enhancing sensorimotor functions, addressing both physical and social aspects of patient care. DISCUSSION: In recent years, there's been a notable surge in using technology for rehabilitation across various disorders. The upcoming challenge is to update health policies to integrate these technologies better, aiming to extend their benefits to a wider range of disabling conditions, marking a progressive shift in public health and rehabilitation practices.

Indexed as

Public HealthAdultCross-Sectional StudiesFemaleHumansItalyMaleMiddle AgedPhysical and Rehabilitation MedicineRehabilitationSurveys and QuestionnairesBalance trainingBrain computer interfacesCognitive trainingDisabilityExergamingInnovationNon-invasive brain stimulationProfessional trainingRehabilitationRobotics virtual realitySensorsSurveyTechnologyTelerehabilitation

Identifiers

PMID39702315
PMCPMC11660639

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.