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Record W3136162236 · doi:10.1097/jpo.0000000000000356

Identifying Prosthetic Capabilities That Define Functionality of Individuals With Amputation

2021· article· en· W3136162236 on OpenAlexaff
Elizabeth M. Bell, Jessica Carrignan, Douglas Kurt Collier, Ji Seung Yang, Jae Kun Shim

Bibliographic record

VenueJPO Journal of Prosthetics and Orthotics · 2021
Typearticle
Languageen
FieldEngineering
TopicProsthetics and Rehabilitation Robotics
Canadian institutionsDigital Payment Technologies (Canada)
Fundersnot available
KeywordsFlexibility (engineering)PsychologyPopulationPhysical medicine and rehabilitationPhysical fitnessFunction (biology)Physical therapyApplied psychologyMedicine

Abstract

fetched live from OpenAlex

ABSTRACT Introduction Although the physical abilities associated with activity, exercise, and fitness within the general population of individuals without disabilities have been well established, it is unclear if these abilities define the physical function of individuals with lower-limb amputations (LLAs) who use a prosthesis. A multidimensional definition of the physical function of people with LLA must consider what abilities are necessary and relevant. Objectives This literature review aimed to identify common abilities used to evaluate the physical function of people with LLA. A secondary aim was to evaluate if each identified ability had been indirectly addressed by existing questionnaires and performance-based tests. Study Design Literature Review. Methods Ten common physical abilities associated with measuring the physical function of LLA were identified through literature review. These identified abilities were used to assess what aspects had been indirectly addressed by existing questionnaires and performance-based evaluations of LLA physical function. Results and Conclusions Abilities identified through literature review included agility, balance, comfort, endurance, flexibility, load, maneuverability, power, strength, and symmetry. These 10 abilities are important and commonly used as outcome measures associated with the physical function of people with LLA. Although each ability was addressed by multiple assessments, no assessment addressed all 10 identified abilities. The Prosthetic Limb Users Survey of Mobility, Prosthetic Profile of the Amputee, Rivermead Mobility Index, and the Amputee Mobility Predictor addressed most (8–9 of 10) of the identified abilities. There were clear differences and gaps in the abilities addressed by current assessments, possibly because they rely on an incomplete definition of what is required for LLA physical function. We propose that these 10 abilities are unique and underlie the definition of LLA physical function. However, future work must assess the validity of this proposed framework. Clinical Relevance A multidimensional definition of LLA physical function is necessary to enable more appropriate prosthetic design, prescription, and use. Promoting greater mobility and physical activity levels within this population will improve health of people with LLA.

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)0.000
metaresearch head score (Gemma)0.000
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 score0.224
Threshold uncertainty score0.525

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
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 head0.015
GPT teacher head0.223
Teacher spread0.207 · 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

Citations6
Published2021
Admission routes1
Has abstractyes

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