Evidence map›Paper›PMID 34874891›Full record

ArticleJMIR rehabilitation and assistive technologies2021

Acceptance of Enhanced Robotic Assistance Systems in People With Amyotrophic Lateral Sclerosis-Associated Motor Impairment: Observational Online Study.

André Maier, Cornelia Eicher, Joern Kiselev, Robert Klebbe, Marius Greuèl, Dagmar Kettemann, Marcel Gaudlitz, Bertram Walter, Ursula Oleimeulen, Christoph Münch and 2 more

Open access · goldAbstract read
In one paragraph

Article in JMIR rehabilitation and assistive technologies, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
1.2field-weighted citation impact, top 18% 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

6 citing papers in PubMed, 15 citations in OpenAlex.

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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

12 authors at 2 institutions in 1 country.

André MaierCenter for ALS and other Motor Neuron Disorders, Charité - Universitätsmedizin Berlin, Corporate Member of Freie Universität Berlin, Humboldt-Universität zu Berlin, and Berlin Institute of Health, Germany, Berlin, Germany.ORCID https://orcid.org/0000-0003-2473-4116
Cornelia EicherWorking Group on Aging & Technology, Charité - Universitätsmedizin Berlin, Corporate Member of Freie Universität Berlin, Humboldt-Universität zu Berlin, and Berlin Institute of Health, Germany, Berlin, Germany.ORCID https://orcid.org/0000-0003-3238-7070
Joern KiselevWorking Group on Aging & Technology, Charité - Universitätsmedizin Berlin, Corporate Member of Freie Universität Berlin, Humboldt-Universität zu Berlin, and Berlin Institute of Health, Germany, Berlin, Germany.ORCID https://orcid.org/0000-0002-8657-1669
Robert KlebbeWorking Group on Aging & Technology, Charité - Universitätsmedizin Berlin, Corporate Member of Freie Universität Berlin, Humboldt-Universität zu Berlin, and Berlin Institute of Health, Germany, Berlin, Germany.ORCID https://orcid.org/0000-0001-7182-4232
Marius GreuèlPflegewerk Berlin GmbH, Berlin, Germany.ORCID https://orcid.org/0000-0001-6605-3947
Dagmar KettemannCenter for ALS and other Motor Neuron Disorders, Charité - Universitätsmedizin Berlin, Corporate Member of Freie Universität Berlin, Humboldt-Universität zu Berlin, and Berlin Institute of Health, Germany, Berlin, Germany.ORCID https://orcid.org/0000-0001-5084-8526
Marcel GaudlitzAmbulanzpartner Soziotechnologie APST GmbH, Berlin, Germany.ORCID https://orcid.org/0000-0002-6830-8066
Bertram WalterCenter for ALS and other Motor Neuron Disorders, Charité - Universitätsmedizin Berlin, Corporate Member of Freie Universität Berlin, Humboldt-Universität zu Berlin, and Berlin Institute of Health, Germany, Berlin, Germany.ORCID https://orcid.org/0000-0001-9086-5179
Ursula OleimeulenPflegewerk Berlin GmbH, Berlin, Germany.ORCID https://orcid.org/0000-0002-9351-5788
Christoph MünchAmbulanzpartner Soziotechnologie APST GmbH, Berlin, Germany.ORCID https://orcid.org/0000-0001-9603-0623
Thomas MeyerCenter for ALS and other Motor Neuron Disorders, Charité - Universitätsmedizin Berlin, Corporate Member of Freie Universität Berlin, Humboldt-Universität zu Berlin, and Berlin Institute of Health, Germany, Berlin, Germany.ORCID https://orcid.org/0000-0002-2736-7350
Susanne SpittelCenter for ALS and other Motor Neuron Disorders, Charité - Universitätsmedizin Berlin, Corporate Member of Freie Universität Berlin, Humboldt-Universität zu Berlin, and Berlin Institute of Health, Germany, Berlin, Germany.ORCID https://orcid.org/0000-0001-9471-7798
Humboldt-Universität zu Berlin · DEPflegewerk (Germany) · DE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundAmyotrophic lateral sclerosis (ALS) is a fatal neurodegenerative disease characterized by a progressive paresis of the extremities and the loss of manual functioning. Due to the severe functional impairment that the disease entails, ALS requires the provision of comprehensive nursing care and a complex set of assistive technology devices. To relieve caregivers and promote autonomy of people with ALS, robotic assistance systems are being developed. This trial aims to evaluate the acceptance of technology, in general, and of robotic arm assistance among people with ALS in order to lay the groundwork for the development of a semiautomatic robotic arm that can be controlled by humans via a multimodal user interface and that will allow users to handle objects and attend to their own bodies.

objectiveThe aim of this study was to perform a systematic analysis of technology commitment and acceptance of robotic assistance systems from the perspective of physically limited people living with ALS.

methodsThe investigation was conducted as a study of a prospective cohort. Participants were only included if they had received a medical diagnosis of ALS. Data collection took place via an online questionnaire on the Ambulanzpartner Soziotechnologie internet platform. Technological commitment was measured using the Neyer short scale. Furthermore, a multidimensional questionnaire was specially developed to analyze participant acceptance of robotic arm assistance: the Acceptance Measure of Robotic Arm Assistance (AMRAA). This questionnaire was accompanied by a video introducing the robot arm. ALS severity was ascertained using the ALS Functional Rating Scale-Extended (ALSFRS-EX).

resultsA total of 268 people with ALS participated in the survey. Two-thirds of the participants were male. The overall mean ALS severity score was 42.9 (SD 11.7) points out of 60 on the ALSFRS-EX, with the most relevant restrictions on arms and legs (<60% of normal functioning). Technological commitment ranked high, with the top third scoring 47.2 points out of 60. Younger participants and males showed significantly higher values. The AMRAA score was, again, significantly higher among younger participants. However, the gender difference within the overall cohort was not significant. The more limited the arm functioning of participants according to the ALSFRS-EX subscale, the higher the acceptance rate of robotic assistance. This relationship proved significant.

conclusionsPeople with ALS display high technological commitment and feel positive about using technological assistance systems. In our study, younger participants were more open to technology use, in general, and robotic assistance, in particular. Self-appraisal of technology acceptance, competence, and control conviction were generally higher among men. However, any presumed gender difference vanished when users were asked to rate the anticipated usefulness of the technology, in particular the robotic arm. The acceptance was also reflected in users' increased willingness to use a robotic arm as the functionality of their own arms decreased. From the perspective of people with ALS, robotic assistance systems are critical to promoting individual autonomy. Another key consideration in the development of future assistive technologies should be the reduction of caregiver burden.

trial registrationGerman Clinical Trials Register DRKS00012803; https://tinyurl.com/w9yzduhd.

Indexed as

amyotrophic lateral sclerosisassistive roboticsrobotic arm assistancetechnology commitment

Identifiers

PMID34874891
PMCPMC8691409
OpenAlexW3207531332

What OpenQuestion holds

Textmetadata
LicenceCC BY
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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.