A PSYCHOSOCIAL ADJUSTMENT MEASURE FOR PERSONS WITH UPPER LIMB AMPUTATION
Notice bibliographique
Résumé
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
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Comment cette classification a été obtenuedéplier
Prédiction machine sur la base complète
Imitation des enseignantsNi prévalence calibrée, ni vérité terrain. Validation humaine à venir. Le volet Gemma est une étiquette directe du modèle pour chaque travail de la base, lue sur la notice réduite au titre. Le volet Codex est un classifieur appris des 10 348 étiquettes directes de Codex et calibré sur les taux pondérés de l'échantillon; les champs sans appui suffisant ne portent aucun appel Codex. Le mode candidate est l'union des deux volets; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont pas des étiquettes humaines.
Scores du classifieur distillé par catégorie (deux têtes)
| Catégorie | Codex | Gemma |
|---|---|---|
| Métarecherche | 0,001 | 0,004 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,000 | 0,001 |
| Bibliométrie | 0,001 | 0,001 |
| Études des sciences et des technologies | 0,001 | 0,000 |
| Communication savante | 0,000 | 0,000 |
| Science ouverte | 0,000 | 0,001 |
| Intégrité de la recherche | 0,000 | 0,001 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,003 | 0,000 |
Scores machine (provisoires)
Les deux têtes enseignantes du modèle étudiant, lues sur ce travail. Un score ordonne la base pour la relecture; il n'affirme jamais une catégorie, et le statut de validation accompagne chaque rangée tel quel.
Scores de référence d'un modèle non mature (critères de maturité non atteints, 7 itérations). Un score ordonne; il n'affirme jamais une catégorie.
score_only:v0-immature-baseline · tel quel depuis la passe de notation : score_only signifie que le nombre peut ordonner les travaux, et qu'aucune étiquette de catégorie n'en découleClassification
machine, non validéePrédiction automatique; un appel candidat d’une seule source (Gemma direct ou Codex distillé), pas un consensus.
Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».