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Record W4403766489 · doi:10.33137/cpoj.v7i1.43890

DETECTING CHANGES IN COMFORT, PAIN, AND MOBILITY OVER CLINICAL MILESTONES FOR INDIVIDUALS WITH LOWER LIMB LOSS

2024· article· en· W4403766489 on OpenAlexaffvenueabout
Brittany Pousett, Charlene C. Harasym, Malena Sofia Rapaport, Tessa Richardson, Jesse Spellen, David Moe, William C. Miller

Bibliographic record

VenueCanadian Prosthetics & Orthotics Journal · 2024
Typearticle
Languageen
FieldEngineering
TopicProsthetics and Rehabilitation Robotics
Canadian institutionsGF Strong Rehabilitation CentreUniversity of British Columbia
Fundersnot available
KeywordsPhysical medicine and rehabilitationMedicinePsychologyPhysical therapy

Abstract

fetched live from OpenAlex

BACKGROUND: Functional mobility, comfort and the absence of pain are key goals of prosthetic treatment. Outcome measures (OMs) evaluate the impact of treatment and normative and minimal detectable change (MDC) values are key to interpreting these scores and measuring treatment outcomes. OBJECTIVES: This study seeks to 1) present practice-based normative values of four commonly used OMs at four prosthetic milestones and 2) explore the MDC of the measures over the treatment period. METHODOLOGY: A chart review was conducted of OMs collected with individuals with lower limb loss between January 1, 2015, and December 31, 2023. This included data for individuals with unilateral transtibial (TT), transfemoral (TF) and rotationplasty (RP) amputations and bilateral transtibial amputation (BTT). OMs included the Socket Comfort Score (SCS), Pain Scale (PS), 2 Minute Walk Test (2MWT), and Prosthetic Limb Users Survey of Mobility (PLUS-M). Data were collected at four milestone time points: (1) Baseline and (2) Discharge from Rehabilitation for those in initial prosthetic rehabilitation, and (3) Initial Evaluation and (4) Definitive Delivery for those receiving a replacement socket. Normative values and MDC values were calculated. FINDINGS: Data from 30 individuals undergoing in-patient rehabilitation and 74 individuals receiving a replacement socket were included. Practice-based normative data were different for each level of amputation and milestone and had the following ranges: SCS: 5.7 – 9.1, PS: 0.8 – 3.7, 2MWT: 68.4 – 146.3 m and PLUS-M: 38.9 – 57.3. MDC values also varied based on time in treatment (Rehabilitation: SCS = 2.5, PS = 1.6, 2MWT = 32.6, PLUS-M = 8.8; Replacement Socket: SCS = 3.1, PS = 2.6, 2MWT = 38.9, PLUS-M = 4.0). All measures had a statistically significant change over the intervention, however, no average scores changed by greater than the MDC. CONCLUSIONS: The normative data and MDC scores demonstrate the PS & PLUS-M are useful measures of pain and mobility at all points within treatment. The 2MWT is indicated for individuals in rehabilitation, while the SCS is indicated for those receiving a replacement socket, as both effectively measure treatment goals that are particularly important for each phase of rehabilitation. This provides clinicians with practice-based evidence that enables them to interpret OM scores, a critical part of the decision-making process along the treatment journey. Layman's Abstract When someone receives a prosthesis, the key goals are to promote mobility and comfort and to reduce pain. Outcome measures are questionnaires or performance-based tests that measure the impact of prosthetic treatment. The scores are interpreted by comparing them to normal values and assessing changes over time against a predetermined threshold for what constitutes a significant amount of change. This study analyzed outcome measure scores collected in clinical practice over a 9-year period, from 2015 - 2023. We included individuals with lower limb loss and presented normal values along with threshold change values taken from a clinical setting for four commonly used measures that assess comfort, pain, and mobility. The data included 30 individuals currently attending initial rehabilitation and 74 individuals who had prior experience using a prosthesis. All the normal values were different for each level of amputation and each milestone within rehabilitation. Suggestions are provided regarding which outcome measures are most useful for assessing changes at different points in time. By providing clinicians with evidence based on clinical practice, we can help them use outcome measures to inform decision-making throughout the rehabilitation journey. Article PDF Link: https://jps.library.utoronto.ca/index.php/cpoj/article/view/43890/33243 How To Cite: Pousett B.M, Harasym C.C, Rapaport M.S, Richardson T, Spellen J, Moe D.W, et al. Detecting changes in comfort, pain, and mobility over clinical milestones for individuals with lower limb loss. Canadian Prosthetics & Orthotics Journal. 2024; Volume 7, Issue 1, No.7. https://doi.org/10.33137/cpoj.v7i1.43890 Corresponding Author: Brittany Mae Pousett, CP(C), MSc.540 SE Marine Dr, Vancouver, BC, Canada, V5X 2T4Tel: 604.321.1115E-Mail: brittany@pousett.caORCID ID: https://orcid.org/0000-0002-2272-7847

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)0.002
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 score0.706
Threshold uncertainty score0.993

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.000
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 integrity0.0000.001
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 head0.012
GPT teacher head0.262
Teacher spread0.250 · 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".

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Citations1
Published2024
Admission routes3
Has abstractyes

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