Evidence map›Paper›PMID 37253381›Full record

ArticleJMIR rehabilitation and assistive technologies2023

Technologies in Home-Based Digital Rehabilitation: Scoping Review.

Angela Arntz, Franziska Weber, Marietta Handgraaf, Kaisa Lällä, Katariina Korniloff, Kari-Pekka Murtonen, Julija Chichaeva, Anita Kidritsch, Mario Heller, Evanthia Sakellari and 8 more

Abstract readScoping Review
In one paragraph

Article in JMIR rehabilitation and assistive technologies, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 48 papers, 4 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
48citing papers in PubMed, 4 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

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

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  10. The role of digital rehabilitation therapy in enhancing upper limb function recovery following surgery in breast cancer patients.Supportive care in cancer : official journal of the Multinational Association of Supportive Care in Cancer · 2026
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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

18 authors.

Angela ArntzDivision of Physiotherapy, Department of Applied Health Sciences, University of Applied Health Sciences Bochum, Bochum, Germany.ORCID https://orcid.org/0000-0002-1255-1374
Franziska WeberDivision of Physiotherapy, Department of Applied Health Sciences, University of Applied Health Sciences Bochum, Bochum, Germany.ORCID https://orcid.org/0000-0002-6226-9879
Marietta HandgraafDivision of Physiotherapy, Department of Applied Health Sciences, University of Applied Health Sciences Bochum, Bochum, Germany.ORCID https://orcid.org/0000-0001-9291-3111
Kaisa LälläInstitute of Rehabilitation, Jamk University of Applied Sciences, Jyväskylä, Finland.ORCID https://orcid.org/0000-0001-6153-9980
Katariina KorniloffInstitute of Rehabilitation, Jamk University of Applied Sciences, Jyväskylä, Finland.ORCID https://orcid.org/0000-0002-0753-1483
Kari-Pekka MurtonenInstitute of Rehabilitation, Jamk University of Applied Sciences, Jyväskylä, Finland.ORCID https://orcid.org/0000-0002-4370-1873
Julija ChichaevaInstitute of Rehabilitation, Jamk University of Applied Sciences, Jyväskylä, Finland.ORCID https://orcid.org/0000-0002-2390-0947
Anita KidritschInstitute of Health Sciences, St. Pölten University of Applied Sciences, St. Pölten, Austria.ORCID https://orcid.org/0000-0003-3214-0270
Mario HellerDepartment of Media & Digital Technologies, St. Pölten University of Applied Sciences, St. Pölten, Austria.ORCID https://orcid.org/0000-0003-2750-5634
Evanthia SakellariDepartment of Public and Community Health, Laboratory of Hygiene and Epidemiology, University of West Attica, Athens, Greece.ORCID https://orcid.org/0000-0001-5396-029X
Christina AthanasopoulouDepartment of Occupational Therapy, University of West Attica, Athens, Greece.ORCID https://orcid.org/0000-0001-5577-1193
Areti LagiouDepartment of Public and Community Health, Laboratory of Hygiene and Epidemiology, University of West Attica, Athens, Greece.ORCID https://orcid.org/0000-0002-6687-358X
Ioanna TzonichakiDepartment of Occupational Therapy, University of West Attica, Athens, Greece.ORCID https://orcid.org/0000-0001-6623-0747
Iosune Salinas-BuenoHealth Research Institute of the Balearic Islands (IdISBa), Palma de Mallorca, Spain.ORCID https://orcid.org/0000-0003-1482-1056
Pau Martínez-BuesoHealth Research Institute of the Balearic Islands (IdISBa), Palma de Mallorca, Spain.ORCID https://orcid.org/0000-0002-0128-0265
Olga Velasco-RoldánHealth Research Institute of the Balearic Islands (IdISBa), Palma de Mallorca, Spain.ORCID https://orcid.org/0000-0003-2376-433X
Ralf-Joachim SchulzDepartment of Geriatric Medicine, St. Marien-Hospital, Cologne, Germany.ORCID https://orcid.org/0000-0001-8844-8894
Christian GrünebergDivision of Physiotherapy, Department of Applied Health Sciences, University of Applied Health Sciences Bochum, Bochum, Germany.ORCID https://orcid.org/0000-0001-8870-8457

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundDue to growing pressure on the health care system, a shift in rehabilitation to home settings is essential. However, efficient support for home-based rehabilitation is lacking. The COVID-19 pandemic has further exacerbated these challenges and has affected individuals and health care professionals during rehabilitation. Digital rehabilitation (DR) could support home-based rehabilitation. To develop and implement DR solutions that meet clients' needs and ease the growing pressure on the health care system, it is necessary to provide an overview of existing, relevant, and future solutions shaping the constantly evolving market of technologies for home-based DR.

objectiveIn this scoping review, we aimed to identify digital technologies for home-based DR, predict new or emerging DR trends, and report on the influences of the COVID-19 pandemic on DR.

methodsThe scoping review followed the framework of Arksey and O'Malley, with improvements made by Levac et al. A literature search was performed in PubMed, Embase, CINAHL, PsycINFO, and the Cochrane Library. The search spanned January 2015 to January 2022. A bibliometric analysis was performed to provide an overview of the included references, and a co-occurrence analysis identified the technologies for home-based DR. A full-text analysis of all included reviews filtered the trends for home-based DR. A gray literature search supplemented the results of the review analysis and revealed the influences of the COVID-19 pandemic on the development of DR.

resultsA total of 2437 records were included in the bibliometric analysis and 95 in the full-text analysis, and 40 records were included as a result of the gray literature search. Sensors, robotic devices, gamification, virtual and augmented reality, and digital and mobile apps are already used in home-based DR; however, artificial intelligence and machine learning, exoskeletons, and digital and mobile apps represent new and emerging trends. Advantages and disadvantages were displayed for all technologies. The COVID-19 pandemic has led to an increased use of digital technologies as remote approaches but has not led to the development of new technologies.

conclusionsMultiple tools are available and implemented for home-based DR; however, some technologies face limitations in the application of home-based rehabilitation. However, artificial intelligence and machine learning could be instrumental in redesigning rehabilitation and addressing future challenges of the health care system, and the rehabilitation sector in particular. The results show the need for feasible and effective approaches to implement DR that meet clients' needs and adhere to framework conditions, regardless of exceptional situations such as the COVID-19 pandemic.

Indexed as

AIartificial intelligenceCOVID-19 pandemicdigital health interventiondigital rehabilitationdigital technologieshome-based rehabilitationmachine learningmobile appmobile phoneremote healthscoping review

Identifiers

PMID37253381
PMCPMC10415951

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.