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Informal caregiver burden among stroke patients in east-coast Peninsular Malaysia: a short-term longitudinal study

2023· dissertation· en· W7094222665 sur OpenAlexaboutno aff

Notice bibliographique

RevueUNDIP Institutional Repository (UNDIP-IR) (Diponegoro University) · 2023
Typedissertation
Langueen
DomaineMedicine
ThématiqueStroke Rehabilitation and Recovery
Établissements canadiensnon disponible
Organismes subventionnairesnon disponible
Mots-clésStroke (engine)Caregiver burdenMalayActivities of daily livingLongitudinal studyPsychological interventionFamily caregiversStroke recovery
DOInon disponible

Résumé

récupéré en direct d'OpenAlex

Background: Stroke is a leading cause of death and disability worldwide. Many stroke survivors require assistance for basic activities of daily living (ADL) and instrumental activities of daily living (IADLs). Stroke attacks happen suddenly, and family members must act as informal caregivers swiftly. Unfortunately, many caregivers feel upset or burdened during caring for stroke survivors. Studies on caregiver burden are vital in helping policymakers prioritise support and researchers develop interventions targeting stroke survivors and caregivers. This study aims to measure the burden among informal caregivers for stroke survivors in East Coast Peninsular Malaysia.
\nMethod: In this research, three related research articles were produced. First, a bibliometric analysis was done to measure the academic production and collaboration of the author, institutions, and countries. The publications with a title containing “stroke” and “caregiver” were searched using Clarivate’s Web of Science database. Second, a descriptive analysis was done to describe the distribution of stroke survivors, informal caregivers, and the burden of stroke caregivers. Stroke survivors and their caregivers were recruited from three East Coast Peninsular Malaysia hospitals. The caregiver burden was measured using the Malay version of Zarit Burden Interview (MZBI) and the Malay version of Caregiver Appraisal of Function and Upset (Malay-CAFU) via phone call four times within the first three months post-discharge. Third, using the same data, an inferential analysis was done using a linear mixed effect model to estimate the stroke caregiver burden trends and the effect of stroke survivors’ dependency level on the burden trajectory.
\nResult: In the bibliometric analysis, it was found that 678 publications dated from 1989 to 2022 with titles containing the terms “stroke” and “caregiver”. The publications were primarily published in the English language. The publications mainly were produced in the USA (28.6%), by The University of Toronto (9.5%), in ‘Topics in Stroke Rehabilitation’ journal (5.8%), and the most productive author was Tamilyn Bakas (3.1%). For the caregiver burden, 85 stroke survivors and 155 informal caregivers were recruited. On average, the stroke survivors had two caregivers, mainly female (58.1%). In the first three months, the burden was reduced, with the mean (SD) of MZBI reduced from 27.42 (12.73) in the first week to 17.77 (11.20) in the third month, while IADL Malay-CAFU Upset reduced from 1.14 (0.94) to 0.62 (0.64) and ADL Malay-CAFU from 1.36 (1.00) to 0.78 (0.65) in the same period. When accounted for the clustering effect using a linear mixed effect model, the MZBI shows a reduction from 1-week post-discharge to 3-month [beta = -10.76 (95% CI = -11.94, -9.57)], and Malay-CAFU at 3-month [beta = -0.68 (95% CI = -0.80, -0.57)]. The burden was higher among caregivers with dependent stroke survivors; however, the rate of reduction of burden was not significantly different.
\nConclusion: The studies on stroke caregivers were extensive; however, ongoing studies on the field are essential. Areas of interest in the field include the experience of stroke caregivers, the level and the determinant of burden and the interventions in managing the burden. Many stroke survivors were taken care of by several informal caregivers, especially family members. However, the caregivers may feel burdened while giving care; however, the burden is usually reduced in the first three months post-stroke. Therefore, policymakers and healthcare providers should initiate support and interventions for caregivers and stroke survivors as early as at the time of diagnosis.

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)0,000
score de la tête « metaresearch » (Gemma)0,000
Version: codex-gemma-dda1882f352aStatut de validation: machine_predicted_unvalidated
Catégories candidatesMéta-épidémiologie (sens strict)
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 enseignants0,044
Score d'incertitude au seuil0,999

Scores Codex et Gemma par catégorie

CatégorieCodexGemma
Métarecherche0,0000,000
Méta-épidémiologie (sens strict)0,0010,001
Méta-épidémiologie (sens large)0,0010,001
Bibliométrie0,0030,001
Études des sciences et des technologies0,0010,000
Communication savante0,0000,001
Science ouverte0,0010,000
Intégrité de la recherche0,0010,001
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 Opus0,014
Tête enseignante GPT0,239
Écart entre enseignants0,224 · 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.

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

Citations0
Publié2023
Routes d'admission1
Résumé présentoui

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