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Record W4225137932 · doi:10.33137/cpoj.v5i1.37873

A PSYCHOSOCIAL ADJUSTMENT MEASURE FOR PERSONS WITH UPPER LIMB AMPUTATION

2022· article· en· W4225137932 on OpenAlexvenueaboutno aff
Linda Resnik, Pengsheng Ni, Matthew Borgia, Melissa A. Clark

Bibliographic record

VenueCanadian Prosthetics & Orthotics Journal · 2022
Typearticle
Languageen
FieldEngineering
TopicProsthetics and Rehabilitation Robotics
Canadian institutionsnot available
FundersRehabilitation Research and Development ServiceU.S. Department of Veterans Affairs
KeywordsRasch modelPsychosocialCronbach's alphaConfirmatory factor analysisPsychologyStructural equation modelingDifferential item functioningPsychometricsClinical psychologyPsychological interventionAmputationReliability (semiconductor)Physical therapyConstruct validityProsthesisItem response theoryDevelopmental psychologyMedicinePsychiatryStatistics

Abstract

fetched live from OpenAlex

BACKGROUND: Measurement of psychosocial adjustment after upper limb amputation (ULA) could be helpful in identifying persons who may benefit from interventions, such as psychotherapy and/or support groups. However, available measures of psychosocial adjustment after limb loss are currently designed for prosthetic users only. OBJECTIVE: To create a measure of psychosocial adjustment for persons with ULA that could be completed by individuals regardless of whether a prosthesis is use. METHODOLOGY: We modified items from an existing Trinity Amputation and Prosthesis Experience Survey (TAPES) measure and generated new items pertinent to persons who did not use a prosthesis. Item content was refined through cognitive interviewing and pilot testing. A telephone survey of 727 persons with major ULA (63.6% male, mean age of 54.4) was conducted after pilot-testing. After exploratory and confirmatory factor analyses (EFA and CFA), Rasch analyses were used to evaluate response categories, item fit and differential item functioning (DIF). Item-person maps, score distributions, and person and item reliability were examined. Test-retest reliability was evaluated in a 50-person subsample. FINDINGS: EFA and CFA indicated a two-factor solution. Rasch analyses resulted in a 7-item Adjustment to Limitation subscale (CFI=0.96, TLI=0.95, RMSEA=0.128) and a 9-item Work and Independence subscale (CFI=0.935, TLI=0.913, RMSEA=0.193). Cronbach alpha and ICC were 0.82 and 0.63 for the Adjustment to Limitation subscale and 0.90 and 0.80 for the Work and Independence subscale, respectively. CONCLUSIONS: This study developed the Psychosocial Adjustment to Amputation measure, which contains two subscales: 1) Adjustment to Limitation and 2) Work and Independence. The measure has sound structural validity, good person and item reliability, and moderate to good test-retest reliability. Layman's Abstract A substantial proportion of persons with upper limb amputation (ULA) experience clinical depression, post-traumatic stress disorder, general anxiety, and/or long term post-traumatic psychological distress after amputation. Levels of depression and anxiety have been reported to be greater and psychosocial adjustment poorer in persons with upper limb amputation as compared to those with lower limb amputation. Between 20-40% of individuals with upper limb amputation (ULA) do not use a prosthesis. Previous measures of psychosocial adjustment after limb loss are designed for prosthesis users, and no measure exists that can be used for individuals who do not use a prosthesis. We developed a measure of psychosocial adjustment for persons with ULA that can be completed by individuals regardless of prosthesis use. Factor analyses led to identification of two subscales: a 7-item Adjustment to Limitation subscale and a 9-item Work and Independence subscale. Our analyses supported validity and reliability of both subscales. Both scales can be used for persons with ULA regardless of whether they use a prosthesis. Article PDF Link: https://jps.library.utoronto.ca/index.php/cpoj/article/view/37873/29269 How To Cite: Resnik L.J., Ni P., Borgia M.L., Clark M.A. A psychosocial adjustment measure for persons with upper limb amputation. Canadian Prosthetics & Orthotics Journal. 2022; Volume 5, Issue 1, No.8. https://doi.org/10.33137/cpoj.v5i1.37873 Corresponding Author: Linda J. Resnik PT, PhDResearch Department, Providence VA Medical Center, 830 Chalkstone Ave, Building 32, Providence, RI 02908E-Mail: Linda.Resnik@va.govORCID ID: https://orcid.org/0000-0002-0168-6759

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: Simulation or modeling · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.754
Threshold uncertainty score0.860

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 studies0.0010.000
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 head0.008
GPT teacher head0.204
Teacher spread0.196 · 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

Citations3
Published2022
Admission routes2
Has abstractyes

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