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Record W2001130430 · doi:10.1097/jpo.0b013e3181ae95f7

Introduction to the Academy's State of the Science Conference on Upper Limb Prosthetic Outcome Measures

2009· article· en· W2001130430 on OpenAlexaboutno aff
Laura A. Miller, Shawn Swanson

Bibliographic record

VenueJPO Journal of Prosthetics and Orthotics · 2009
Typearticle
Languageen
FieldEngineering
TopicProsthetics and Rehabilitation Robotics
Canadian institutionsnot available
Fundersnot available
KeywordsStrengths and weaknessesPsychologyState (computer science)Medical educationPolitical scienceMedicineLibrary scienceComputer scienceSocial psychology

Abstract

fetched live from OpenAlex

This State of the Science Conference (SSC) was convened to examine the body of scientific knowledge related to outcome measures (OM) in upper limb prosthetics. The meeting was held in Chicago, Illinois, March 27–29, 2009, and funding for this conference was provided by the American Academy of Orthotists and Prosthetists through a grant from the US Department of Education. Experts in the field were invited to offer their insight and expertise in summarizing the evidence and identifying the key areas for future research. It was the goal of the state of the science conference to examine, debate, and answer the following six questions: What validated instruments are available in English to measure upper limb prosthetic outcomes? What do these instruments attempt to measure as it relates to the International Classification of Functioning, Disability and Health (ICF)/World Health Organization (WHO) classifications? What are the relative strengths and weaknesses of current instruments? What do various interest groups want out of an outcome measure? What are the appropriate tools to be used for various applications (research, clinical, pediatric, and quality of life)? In light of the literature review and the panel's discussion, what are the primary future research priorities? That is, what is missing and where do we go from here? Upper limb prosthetic outcomes have been an area of interest for decades (see historical review of pediatric outcomes by Hubbard, in this issue). A renewed interest was drawn to the area following two OM meetings: the preconference workshop for the Myoelectric Controls (MEC) Symposium held on August 2005 and one held in Trondheim, Norway, March 2007. This led to the formation at of the Upper Limb Prosthetic Outcome Measures Group (ULPOM) after the International Society of Prosthetics and Orthotics (ISPO) meeting in Vancouver later in August 2007.1 These meetings helped to focus and define terminology of outcomes related to upper limb prosthetics across the spectrum from Research and Development through the Clinical setting and Home Use with a basis around the ICF/WHO classification.2–4 The reader will find that the ICF/WHO classification is the basis for much of our discussion and organization regarding upper limb OM. This classification combines the following: the medical and social disability models, the impact of the amputation, and the environment and social situations. To address the earlier-mentioned questions number 1 and 2, a comprehensive written evidence-based review (EBR) of the literature (included in this issue) was requested of F. Virginia Wright, PT, PhD, by the Academy. During this same time, extensive work was also being done by those participating in the ULPOM group. This special issue publication combines these two bodies of work and the panel's recommendation for future research priorities. Selected participants were asked to present their experience with specific measurement tools. A general agreement among the SSC participants is that OMs are not being used widely. Therefore, various stakeholders (therapists, prosthetists, and researchers) were asked to provide certain perspectives regarding the clinical and research application of outcome measurement tools, what tools they have used (why they do and do not continue to do so) and their opinions and thoughts on why these OM are not more widely adopted or utilized. Before the meeting, the participants reviewed the evidence-based review, work done by the ULPOM group, the notes from the ISPO, MEC discussions and the various perspectives. During the course of the meeting, existing measures were thoroughly discussed and categorized. The SSC panel evaluated the current status of the OMs deemed to be “recommended for use” and those to be “considered” for application. The recommended and considered tools were evaluated to determine what the field of application (i.e., research or patient care) would be for each and for those identified as “consider,” a list was compiled of what further work would be necessary to include them as recommended. Finally, with an understanding of current barriers and needs for OMs in upper limb prosthetics, future research priorities were determined. PARTICIPANTS CO-CHAIRS Laura A. Miller, PhD, CP, Assistant Professor, Rehabilitation Institute of Chicago, Northwestern University Feinberg School of Medicine, Chicago, IL. Shawn Swanson, OTR/L, National Director of Occupational Therapy, Advanced Arm Dynamics, Redondo Beach, CA. INVITED PARTICIPANTS Alberto Esquenazi, MD, Chair and Professor, Department of PM&R and Chief Medical Officer, MossRehab and Albert Einstein Director, Gait and Motion Analysis Laboratory and Regional Amputee Center MossRehab, Philadephia, PA. Craig Heckathorne, MS, Research Engineer, Northwestern University Rehabilitation Engineering Research Program, Prosthetics Research Laboratory, Department of Orthopaedic Surgery, Northwestern University, Medical School, Chicago, IL. Wendy Hill, BScOT, Research Occupational Therapist, University of New Brunswick, Fredericton, NB, Canada. Sheila Hubbard, PT, OT, BScPT, Former Manager of Clinical Technology, Adjunct Clinician Investigator, Bloorview Kids Rehab, Toronto, Ontario, Canada. Peter Kyberd, PhD, Research Chair in Rehabilitation Cybernetics, University of New Brunswick, Fredericton, NB, Canada. Chris Lake, CPO, LPO, FAAOP, SW Clinical Director, Advanced Arm Dynamics, Upper Limb Society Chair, AAOP, Clinical Instructor, UTSW—School of Allied Health, PhD Student, University of Strathclyde, National Center for O&P. Kathy Stubblefield, OTR/L, Neural Engineering Center for Artificial Limbs, Rehabilitation Institute of Chicago, Chicago, IL. Jack Uellendahl, CPO, FAAOP, Clinical Prosthetics Specialist, Hanger Prosthetics and Orthotics, Phoenix, AZ. Liselotte Norling Hermansson, PhD, Reg OT, Department of Prosthetics and Orthotics, Örebro County Council, Örebro, Sweden; Centre for Rehabilitation Research, Örebro County Council, Örebro, Sweden. F. Virginia Wright, PT, PhD, Clinician Scientist, Bloorview Research Institute, Toronto, Ontario, Canada. GRANT REPRESENTATIVE John W. Michael, MEd, CPO/LPO, FISPO, FAAOP, Adjunct Faculty, MSPO Program, Georgia Institute of Technology, Atlanta, GA. CONTINUING EDUCATION DEVELOPMENT TEAM Brian J. Hafner, PhD, Acting Assistant Professor Prosthetics- Orthotics Division, University of Washington, Seattle, WA. Susan Ewers, MS, CPO, Teaching Associate, Prosthetics-Orthotics Division, University of Washington, Seattle, WA.

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)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Simulation or modeling · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.617
Threshold uncertainty score0.346

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
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 head0.019
GPT teacher head0.258
Teacher spread0.239 · 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 designSimulation or modeling
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
Published2009
Admission routes1
Has abstractyes

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