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Enregistrement W2146685835 · doi:10.1111/j.1532-5415.2011.03880.x

Determinants of Quality of Life in Older Adults After Lower Limb Amputation and Rehabilitation in Skilled Nursing Facilities

2012· letter· en· W2146685835 sur OpenAlexaff
Bianca Buijck, Sytse U. Zuidema, Monica Spruit‐van Eijk, Debby L. Gerritsen, Raymond T.C.M. Koopmans, Harmen van der Linde

Notice bibliographique

RevueJournal of the American Geriatrics Society · 2012
Typeletter
Langueen
DomaineMedicine
ThématiqueDiabetic Foot Ulcer Assessment and Management
Établissements canadiensCentre for Family Medicine
Organismes subventionnairesnon disponible
Mots-clésMedicineAmputationActivities of daily livingRehabilitationQuality of life (healthcare)Physical therapyDepression (economics)ComorbidityGeriatric Depression ScaleMoodGerontologyStroke (engine)PsychiatryAnxietyNursing

Résumé

récupéré en direct d'OpenAlex

The most common causes of lower limb amputation (LLA) are peripheral arterial disease (PAD) and diabetes mellitus, which frequently occur in elderly adults. LLA and its associated comorbidity cause major problems in daily life, such as physical disabilities, psychological challenges, and dependence on care.1 In the literature, in predominantly younger adults time since amputation,1, 2 physical disability,1, 3, 4 social activities,1, 3 vascular disease,1, 5, 6 depression,2, 3 sex,2, 7 and age,1-3, 6 are factors that affect quality of life (QoL). The current study was aimed at investigating QoL and its determinants in home-dwelling elderly adults with LLA and a history of PAD recently after rehabilitation in a skilled nursing facility (SNF). This study was part of the Geriatric Rehabilitation in AMPutation and Stroke (GRAMPS) study,8 which is a prospective multicenter cohort study aimed at identifying determinants of rehabilitation outcomes. Three months after discharge, QoL was assessed using the RAND–36 Health Survey (eight subscales) (Table 1). The Geriatric Depression Scale (GDS8), Neuropsychiatric Inventory Nursing Home version (NPI-NH), Frenchay Activities Index, Barthel Index, One-Leg Standing Balance test, and Functional Ambulation Categories (FAC) were used to determine mood, behavioral problems, activities of daily living, instrumental activities of daily living, balance, and functional status.8 The possible determinants of RAND-36 QoL were identified using linear regression analysis. Of the 48 individuals with amputation who were admitted to participating SNFs, 27 (18 female) were successfully discharged after rehabilitation. They had an average age of 75 and a mean elapsed time after amputation of 180 days. Eight underwent a transfemoral amputation, four a knee disarticulation, and 15 a transtibial amputation. Eight were fitted with a prosthesis for cosmetic reasons or with limited weight-bearing option, 11 had a definitive prosthesis used for walking short or long distances with a walking device, and two were able to walk without a walking device. Mean QoL scores ranged from 22 to 87. Low QoL on physical functioning (with a low mean score) was correlated positively with FAC (explaining 46% of the total variance). High QoL on role limitations emotional, social functioning, and mental health (with high scores) and vitality was negatively associated with more neuropsychiatric symptoms and depressive complaints (NPI-NH and GDS8, explaining 41–69% of the total variance). Vitality was positively correlated with the Frenchay Activities Index (coefficient of determination 16%). Bodily pain was not associated with any of the potential correlates (Table 1). This study focused on determinants of QoL in elderly adults with LLA after rehabilitation. It is unique in that QoL was measured shortly after discharge to home. The QoL for these elderly adults with LLA was good, with the exception of the physical functioning domain. Even in this small sample of 27 successfully rehabilitated individuals, high and significant correlations and explained variances were found. High QoL was found, in contrast with some other studies,1, 7 but in line with one previous study.3 In the present study, time elapsed after LLA was short (on average within half a year). This may indicate that elderly adults adapt quickly to living with LLA. Individuals with disabilities may experience good QoL, a phenomenon earlier described as the disability paradox,9 although before LLA, most individuals with PAD experience pain, sleeplessness, and other discomforts related to PAD. LLA may help ameliorate these symptoms. Low scores were found on the physical functioning domain. Surprisingly, walking disability (FAC) was the only factor that contributed significantly to explaining the low QoL on this domain. LLA and the (non) use of a prosthesis affect walking ability. Older adults often have multiple medical problems that must be considered when being fitted for a prosthesis.10 Also, some do not use it for walking even though it was intended for walking. Given the importance of walking ability for QoL, it is recommended that further insight be gained into this matter. Neuropsychiatric symptoms (NPI-NH) and depressive complaints (GDS8) were independent determinants for six QoL domains. It is unclear to which extent depressive complaints in the present study were reactive to LLA, although it underpins the importance of treating neuropsychiatric symptoms and responding to depressive complaints as early and adequately as possible, during and after rehabilitation to improve QoL. Conflict of Interest: None of the authors have financial or personal conflicts of interest. This study was funded by Stichting De Zorgboog and Stichting Voor Regionale Zorgverlening, who employed the primary investigators during the study period. A grant of 25,000 Euro for the GRAMPS study was received from the science promotion foundation for nursing homes. Authors Contributions: MS and BB are the primary investigators of the GRAMPS study; they designed the study and collected the data. BB: Data analysis and writing the manuscript. MS, HL, DG: Writing the manuscript. SZ, RK: Study design, data analysis, and writing the manuscript. Sponsor's Role: The organizations that funded the GRAMPS study were not involved in the design of the study, data collection, data processing, or manuscript preparation.

Récupéré en direct depuis OpenAlex et désinversé. Les résumés ne sont pas conservés dans cette base de données : les index inversés représentent 8,6 Go des 9,3 Go de texte de la base, et le serveur dispose de 13 Go libres.

Comment cette classification a été obtenuedéplier

Prédiction distillée sur la base complète

Imitation des enseignants

Ni prévalence calibrée, ni vérité terrain. Validation humaine à venir. Apprise à partir de 10 348 étiquettes directes de Codex et de 10 348 étiquettes directes de Gemma. Le mode candidate est l'union des têtes enseignantes seuillées; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont ni des étiquettes humaines ni des étiquettes directes de modèles de pointe.

score de la tête « metaresearch » (Codex)0,001
score de la tête « metaresearch » (Gemma)0,000
Version: codex-gemma-dda1882f352aStatut de validation: machine_predicted_unvalidated
Catégories candidatesaucune
Catégories consensuellesaucune
DomaineSignal candidat: aucune · Signal consensuel: aucune
Devis d'étudeSignal candidat: Observationnel · Signal consensuel: Observationnel
GenreSignal candidat: Empirique · Signal consensuel: Empirique
Score de désaccord entre enseignants0,094
Score d'incertitude au seuil0,562

Scores Codex et Gemma par catégorie

CatégorieCodexGemma
Métarecherche0,0010,000
Méta-épidémiologie (sens strict)0,0000,000
Méta-épidémiologie (sens large)0,0010,000
Bibliométrie0,0000,000
Études des sciences et des technologies0,0000,000
Communication savante0,0000,000
Science ouverte0,0000,000
Intégrité de la recherche0,0000,001
Charge utile insuffisante (le modèle a refusé de juger)0,0000,000

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.

Tête enseignante Opus0,010
Tête enseignante GPT0,299
Écart entre enseignants0,289 · la distance entre les deux têtes enseignantes sur ce seul travail
Statut de validationscore_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 découle

Classification

machine, non validée

Prédiction automatique; un appel candidat d’une seule tête enseignante, pas un consensus.

Les modèles n’ont appliqué aucune catégorie : rien dans la taxonomie ne correspondait à ce travail.
Devis d'étudeObservationnel
Domainenon disponible
GenreEmpirique

Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».

En bref

Citations11
Publié2012
Routes d'admission1
Résumé présentoui

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