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Enregistrement W6992010758

Instrumental activities of daily living as an early indicator of transition to residential care: change point modeling of home care recipient pathways

2021· dissertation· en· W6992010758 sur OpenAlexaboutno aff

Notice bibliographique

RevueUVic’s Research and Learning Repository (University of Victoria) · 2021
Typedissertation
Langueen
DomaineHealth Professions
ThématiqueGeriatric Care and Nursing Homes
Établissements canadiensnon disponible
Organismes subventionnairesnon disponible
Mots-clésActivities of daily livingLong-term careNormativeData collectionLongitudinal studyLongitudinal dataIndependence (probability theory)Independent living
DOInon disponible

Résumé

récupéré en direct d'OpenAlex

Objective: The transition to long-term care (LTC) of older adults receiving home care services is preceded by declining functional independence with basic and instrumental activities of daily living (ADL and IADL, respectively). These individual, and group, level time-dependent changes occur within unique provincial and regional policy contexts across Canada, which determine the amount and types of services received by home care recipients during this transition period. It is currently unknown whether activities of daily living (ADL) or IADL (instrumental activities of daily living) exhibit accelerated decline preceding transition to LTC, and if so, whether the onset and rate of decline differs for ADL versus IADL. This dissertation sets out to determine whether such change points exist within longitudinal data gathered from home care recipients in Ontario during the years of 2008 to 2015. Methods: A profile likelihood method was employed to identify the best fitting change points at which the slopes of functional decline in ADL and IADL for those who transition to LTC from home care services depart from the normative age slope of those who remain in community. Data analyzed was collected at approximately 6-month intervals using the International Residential Assessment Instrument – Home Care (RAI-HC) in Ontario, Canada, and was obtained from the Canadian Institutes for Health Information (CIHI) for the period of 2006-2015. A policy review was conducted to determine whether changes had occurred to the amount or type of home care services provided during the data collection period, and subsequently data from 2008 to 2015 were retained. IADL was measured using the 21-point IADL Involvement Scale and ADL was measured using the 28-point ADL Long Form. Best fitting change point models were first identified for ADL and IADL scores in the full sample of participants who remained in community and those who transitioned to LTC and within subgroups stratified by sex. Two additional subgroups were also examined: 1) participants without a primary or secondary caregiver living in the home, and 2) participants with a primary caregiver living in the home. Each caregiver group was also stratified by sex, resulting in a total of 9 groups in which IADL and ADL change points were estimated and compared. Results: In all groups who remained in community with home care services, age-related decline in IADL and ADL were observed. Further, IADL impairment was higher at the time of first assessment and had a greater age-related slope than ADL for those who remained in community. Both measures had discernable change points preceding discharge to LTC and the change point for IADL preceded that of ADL in all groups. Across groups, the change point for ADL had a range of 0.5 years before LTC discharge for men without a primary or secondary caregiver living in the home to 2 years for women with a primary caregiver in the home. IADL change points ranged from 2.5 years before LTC discharge for men with a primary caregiver in the home to 3.6 years for women without a primary or secondary caregiver in the home. Within the full sample, including both men and women, the onset of accelerated IADL decline for those discharged to LTC preceded the onset of home care service by 1.49 years and the time of first assessment by 1.84 years. Women in the full sample, and in both caregiver groups, experienced an earlier IADL change point relative to the availability of home care services and assessment when compared to men. Conclusions: Both IADL and ADL have discernible change points for in the years preceding discharge from home care to LTC. The change point for IADL consistently precedes that of ADL for the entire sample, for those with or without a caregiver in the home and for both men and women. The onset of accelerated IADL decline in the presence of age normative ADL decline may be an early indicator of pending transition from home care to LTC for home care recipients identified in this study. The province of Ontario has committed to providing the right care, at the right time in the right place. This study demonstrates that home care policy in Ontario during this study period, which does not provide for IADL services until after patients first qualify for ADL services, may not be achieving the provinces commitment of ensuring IADL care is provided at the right time for recipients of home care services. Opportunities for early identification and intervention may be available through early monitoring of, and intervention with, IADL function. A stepped care model holds promise for early identification and intervention of IADL impairment in community living older adults. Future research will help to confirm if accelerating decline in IADL function in the absence of appropriate rehabilitation and support services may hasten the onset of accelerated ADL impairment and subsequent admission to LTC.

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 machine sur la base complète

Imitation des enseignants

Ni 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.

score de la tête « metaresearch » (Codex)0,004
score de la tête « metaresearch » (Gemma)0,010
Version: metacan-v3-hybrid-931329e0061cStatut de validation: machine_predicted_unvalidated
Catégories candidatesaucune
Catégories consensuellesaucune
DomaineSignal candidat: aucune · Signal consensuel: aucune
Devis d'étudeSignal candidat: Simulation ou modélisation · Signal consensuel: aucune
GenreSignal candidat: Empirique · Signal consensuel: Empirique
Score de désaccord entre enseignants0,196
Score d'incertitude au seuil0,389

Scores du classifieur distillé par catégorie (deux têtes)

CatégorieCodexGemma
Métarecherche0,0040,010
Méta-épidémiologie (sens strict)0,0000,000
Méta-épidémiologie (sens large)0,0010,002
Bibliométrie0,0010,001
Études des sciences et des technologies0,0010,001
Communication savante0,0010,001
Science ouverte0,0020,002
Intégrité de la recherche0,0010,002
Charge utile insuffisante (le modèle a refusé de juger)0,0030,000

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 Opus0,038
Tête enseignante GPT0,327
Écart entre enseignants0,290 · 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 source (Gemma direct ou Codex distillé), pas un consensus.

Les modèles n’ont appliqué aucune catégorie : rien dans la taxonomie ne correspondait à ce travail.
Devis d'étudeSimulation ou modélisation
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

Citations0
Publié2021
Routes d'admission1
Résumé présentoui

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Même revueUVic’s Research and Learning Repository (University of Victoria)Même sujetGeriatric Care and Nursing HomesTravaux en français237 207