TY - JOUR
T1 - Risk Factors with the Greatest Impact on Caregiver Burden in Informal Homecare Settings in Austria
T2 - A Quantitative Secondary Data Analysis
AU - Cartaxo, Ana
AU - Koller, Martina
AU - Mayer, Hanna
AU - Kolland, Franz
AU - Nagl-Cupal, Martin
N1 - Publisher Copyright:
© 2023 Ana Cartaxo et al.
PY - 2023/3/31
Y1 - 2023/3/31
N2 - The aim of this study was to reveal the factors that most contribute to caregiver burden in informal adult caregivers, caring for adult care recipients in homecare settings in Austria. A quantitative supplementary secondary analysis based on the dataset of the Austrian Caregiver Study was conducted between February 2021 and March 2022. Based on the dataset of the primary study, which was deemed representative for caregivers in homecare context, 2532 caregivers (92.3% of the cases) were selected for data analysis. Theoretically relevant regressors on caregiver burden, which were available in the dataset, were identified based on an adaptation of Pearlin's framework of caregiver stress. Data analysis was conducted using descriptive statistics followed by multifactorial analysis of variance and a logistic regression model. Multiple variables, related to (1) sociodemographic characteristics of both care recipients and caregivers; (2) caregiving situation; (3) family-, work-, and finance-related characteristics; (4) availing social support and services, emerged as statistically significant owing to their influence on caregiver burden. Further data analysis illustrated that the five variables with the greatest impact on caregiver burden were as follows: (1) caregiver's health status, (2) care recipient's behavioral problems, (3) frequency of provision of direct care, (4) time spent on care, and (5) care dependency level.
AB - The aim of this study was to reveal the factors that most contribute to caregiver burden in informal adult caregivers, caring for adult care recipients in homecare settings in Austria. A quantitative supplementary secondary analysis based on the dataset of the Austrian Caregiver Study was conducted between February 2021 and March 2022. Based on the dataset of the primary study, which was deemed representative for caregivers in homecare context, 2532 caregivers (92.3% of the cases) were selected for data analysis. Theoretically relevant regressors on caregiver burden, which were available in the dataset, were identified based on an adaptation of Pearlin's framework of caregiver stress. Data analysis was conducted using descriptive statistics followed by multifactorial analysis of variance and a logistic regression model. Multiple variables, related to (1) sociodemographic characteristics of both care recipients and caregivers; (2) caregiving situation; (3) family-, work-, and finance-related characteristics; (4) availing social support and services, emerged as statistically significant owing to their influence on caregiver burden. Further data analysis illustrated that the five variables with the greatest impact on caregiver burden were as follows: (1) caregiver's health status, (2) care recipient's behavioral problems, (3) frequency of provision of direct care, (4) time spent on care, and (5) care dependency level.
UR - http://www.scopus.com/inward/record.url?scp=85175495553&partnerID=8YFLogxK
U2 - 10.1155/2023/3270083
DO - 10.1155/2023/3270083
M3 - Journal article
SN - 1365-2524
VL - 2023
SP - 1
EP - 14
JO - Health & Social Care in the Community
JF - Health & Social Care in the Community
M1 - 3270083
ER -