Risk Factors with the Greatest Impact on Caregiver Burden in Informal Homecare Settings in Austria
A Quantitative Secondary Data Analysis
Bibliographic Data
| ID | 15087139 |
|---|---|
| Authors | Ana Cartaxo (0000-0002-6999-4301, University of Vienna, corresponding author), Martina Koller (0000-0002-7782-3094, University of Vienna), H Mayer (0000-0002-7206-9432, University of Vienna), Franz Kolland (0000-0002-4383-7156, University of Vienna), Martin Nagl‐Cupal (0000-0003-2414-3463, University of Vienna) |
| Editors | Gianpiero Greco (0000-0002-5023-3721) |
| Year | 2023 |
| Volume | 2023 |
| Pages | 1-14 |
| Publication date | 2023-03-31 |
| Peer Reviewed | Yes |
| Open Access | Yes |
| Type | ARTICLE |
| Venue | Health & Social Care in the Community (JOURNAL) |
| Journal identifiers | ISSN: 0966-0410 • E-ISSN: 1365-2524 |
| Publisher | Wiley (PUBLISHER • GB) |
| DOI | 10.1155/2023/3270083 |
| OpenAlex | W4362474462 |
| Language | EN |
| Citations received | 2 |
| References cited | 23 |
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
Caregiver burden · Caregiver stress · Context (archaeology) · Descriptive statistics · Disease · Family caregivers · Logistic regression · Regression analysis · Family Caregiving in Mental Illness · Family Support in Illness · Intergenerational Family Dynamics and Caregiving · Medicine · Psychology · Gerontology
| Unique citing works | 2 |
|---|---|
| Citations per year | 0,67 |
| Citation span | 2023 - 2025 (3) |
| Citation velocity | recent |
| Highly cited | No |
| Citation types | Neutral: 2 |