MétaCan
Menu
Back to cohort
Record W2945111170 · doi:10.1080/2331205x.2019.1605722

The perspective of rehabilitation health care professionals regarding the clinical utility of a body-environment proximity measurement device

2019· article· en· W2945111170 on OpenAlexafffund
Céline Faure, Elizabeth L. Inness, Marie‐Ève Lamontagne, Geneviève Sirois, Geoffrey Edwards, Bradford J. McFadyen, Karl Zabjek

Bibliographic record

VenueCogent Medicine · 2019
Typearticle
Languageen
FieldMedicine
TopicCerebral Palsy and Movement Disorders
Canadian institutionsCentres Intégré Universitaires de Santé et de Services SociauxInstitut Universitaire en Santé Mentale de QuébecUniversité LavalToronto Rehabilitation InstituteUniversity of TorontoUniversity Health NetworkCentre for Interdisciplinary Research in Rehabilitation
FundersCanadian Institutes of Health ResearchConnaught FundNatural Sciences and Engineering Research Council of CanadaUniversity Health Network
KeywordsFocus groupTurnkeyRehabilitationMedicineHealth careAdded valueQualitative researchApplied psychologyNursingKnowledge managementPsychologyComputer sciencePhysical therapyBusiness

Abstract

fetched live from OpenAlex

Measuring the proximity of the body to the environment has the potential to provide rehabilitation health care professionals (RHCP) new, additional information to assess mobility. The aims of this study were to explore the opinions and needs of professionals to use a new device to measure such proximity, and to determine potential barriers and facilitators to implement it within the clinical setting. Four focus groups were conducted with 23 RHCP. The concept of a proximity measurement device in the early stages of development was introduced. A qualitative content analysis using a model of clinical utility as guidance for coding of the transcribed texts was used. Many potential uses were raised including: improving patient safety, motor learning, independence in tasks as gait, transfers and reaching tasks, saving time during assessment, improving follow-up with the client, data precision and objectivity to assess tasks. Barriers were related to still unclear relevance, effectiveness, the added value of such a device, and time required for use. The development of a turnkey device with support to facilitate its implementation was seen to be positive. These focus groups provided important information to further identify potential uses of such a device and to help to decrease barriers to its implementation.

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)0.005
metaresearch head score (Gemma)0.002
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.199
Threshold uncertainty score0.269

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0050.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
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 head0.057
GPT teacher head0.378
Teacher spread0.321 · 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.

The models applied no category: nothing in the taxonomy fit this work.
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

Citations0
Published2019
Admission routes2
Has abstractyes

Explore more

Same venueCogent MedicineSame topicCerebral Palsy and Movement DisordersFrench-language works237,207