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Record W4200416684 · doi:10.1080/17483107.2021.2017030

Wheelchair-mounted robotic arms: a survey of occupational therapists’ practices and perspectives

2021· article· en· W4200416684 on OpenAlexafffundabout
Julie Bourassa, Julie Faieta, Jason Bouffard, François Routhier

Bibliographic record

VenueDisability and Rehabilitation Assistive Technology · 2021
Typearticle
Languageen
FieldMedicine
TopicStroke Rehabilitation and Recovery
Canadian institutionsCentre intégré universitaire de santé et de services sociaux de la Capitale-NationaleUniversité LavalCentre for Interdisciplinary Research in Rehabilitation
FundersMitacs
KeywordsWheelchairManual wheelchairPhysical medicine and rehabilitationPsychologyEngineeringMedicinePhysical therapyAeronauticsApplied psychologyComputer science

Abstract

fetched live from OpenAlex

Purpose Despite the benefits of wheelchair-mounted robotic arms (WMRAs), occupational therapists are not yet widely involved in the recommendation or implementation of these assistive devices. The purpose of this study was to investigate and compare the current practices and perspectives of occupational therapists who had and had not recommended a WMRA on the recommendation, training, and implementation of WMRAs.Methods This was a descriptive cross-sectional study. An online survey was sent to Canadian, European, and American occupational therapists who had or had not worked with WMRAs. Respondents were asked close-ended questions about their experience, role, barriers, motivations, and future needs regarding WMRAs. We compared results between respondents who had and had not recommended WMRAs using descriptive statistics.Results Ninety-three North American and European occupational therapists completed the survey. Of those, 29 (31.2%) had recommended a WMRA, mostly the JACO robotic arm (n = 26, 89.7%) in rehabilitation centres (n = 18, 62.1%). Their perspectives on their role and barriers related to WMRAs were similar to those who had never recommended a WMRA. All respondents recognised the relevance of occupational therapists’ contribution, and most reported interest in WMRAs (n = 76, 81.7%). However, many barriers emerged, mainly related to limited funding (n = 49, 76.6%), lack of training and knowledge (n = 38, 59.4%), and resource constraints (n = 37, 54.4%). Future needs identified matched these barriers.Conclusion This survey provides novel insight into occupational therapists’ perspectives on WMRAs. It highlights that health professionals need to have easier access to funding, formal training, and resources to support their involvement with WMRAs.Implications for rehabilitationMost occupational therapists are interested in working with WMRAs, considering the potential of these devices to support individuals with upper extremity impairments in their daily activities. They also recognise their unique contribution to the assessment, recommendation, and implementation process among multidisciplinary teams.WMRA recommendation is relevant in various clinical settings and with a wide range of client populations. Nevertheless, it appears that occupational therapists working with adults, in rehabilitation centres or specialised clinics, may have more opportunities to get involved in this process and to attend formal training on this technology, as compared to other settings.Many barriers remain, impeding occupational therapists’ role in the recommendation and implementation of WMRAs. Addressing these barriers may increase the number of devices that are successfully adopted and utilised by individuals with upper extremity impairments. In particular, future research and health policies should focus on access to sufficient funding, formal training, and resources for occupational therapists relative to their role in recommending and implementing WMRAs.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.018
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch, Science and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.021
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.018
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.003
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.042
GPT teacher head0.362
Teacher spread0.320 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

Study designObservational
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations9
Published2021
Admission routes3
Has abstractyes

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