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Record W2755579776 · doi:10.1097/jpo.0000000000000158

Active Upper-Limb Prostheses: The International Perspective

2017· article· en· W2755579776 on OpenAlexaboutno aff
Andreas Kannenberg

Bibliographic record

VenueJPO Journal of Prosthetics and Orthotics · 2017
Typearticle
Languageen
FieldEngineering
TopicMuscle activation and electromyography studies
Canadian institutionsnot available
Fundersnot available
KeywordsUpper limbAmputationProsthesisHealth careMedicineRehabilitationInterviewLower limbPhysical medicine and rehabilitationBusinessPhysical therapyPolitical scienceEconomic growthSurgeryEconomics

Abstract

fetched live from OpenAlex

ABSTRACT The purpose of this article is to give an overview on the perspective of different health care systems around the world on the coverage of active upper-limb prostheses for individuals with an upper-limb amputation. Because no authoritative statistics are publicly available, data were collected by interviewing acknowledged professionals in the field of upper-limb prosthetic rehabilitation as well as by obtaining estimates of market sizes from Ottobock's business unit, national market managers, and clinical prosthetists specialized in upper-limb prosthetics in various countries. Countries may be placed in one of three categories upon the basic approach to the provision of active upper-limb prostheses: 1. Industrialized countries with health care systems that grant access to all types of active upper-limb prostheses (e.g., Western and Northern Europe). In these countries, myoelectric/externally powered upper-limb prostheses are considered standard of care. However, adoption levels vary depending on differences in coverage policies. In countries with health care systems that cover several upper-limb prostheses at a time, 80% to 90% of patients use myoelectrics as their primary prosthesis. If the health care system covers only one prosthesis at a time, the proportion of myoelectric prostheses may decline to 50% to 60%. 2. Industrialized countries with health care systems that limit access to active upper-limb prostheses primarily to body-powered devices (e.g., United States, Canada, Australia, New Zealand, Japan). In these countries, myoelectric/externally powered prostheses require approved exceptions from coverage policies and are typically used by less than 35% to 40% of all patients with active prostheses. However, in some specialized urban rehabilitation clinics, the share of myoelectric prostheses may reach up to 70%. 3. Countries with health care systems that provide passive or no upper-limb prostheses to the majority of their beneficiaries (e.g., Eastern Europe, Latin America, Asia, Africa). Although the scientific evidence for upper-limb prosthetics is the same around the world, coverage policies and funding vary remarkably and result in strikingly different adoption rates of active upper-limb prosthetic technologies among different countries. Among industrialized countries, the most important difference seems to be whether policies only consider prosthetic function or also psychosocial aspects for determining medical necessity of the available active prosthetic technologies and designs.

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: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.569
Threshold uncertainty score0.267

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 head0.013
GPT teacher head0.248
Teacher spread0.235 · 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

Citations8
Published2017
Admission routes1
Has abstractyes

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