IDENTIFYING THE PATTERNS OF CAREGIVING DEMANDS: A LATENT CLASS ANALYSIS APPROACH
Sung Hyun Ko, Yeonjung Lee, Alex Bierman · 2023
Read IDENTIFYING THE PATTERNS OF CAREGIVING DEMANDS: A LATENT CLASS ANALYSIS APPROACH by Sung Hyun Ko, Yeonjung Lee, Alex Bierman (2023) in the Tower of Babel, a free online library of public-domain works preserved in clean, searchable text. No sign-up. The full text is served as a plain-text file at a predictable URL, where text is present: https://antarctic-labs.com/tower-of-babel/pmc-10737769.txt.
Description
Sung Hyun Ko, Yeonjung Lee, and Alex Bierman sort Canadian caregivers into patterns of demand in 2023. Past studies usually measured care load with one number, such as hours per week or tasks done. The team instead treated demand as many-sided, mixing hours, frequency, place of care, and whether the person is the main caregiver.
Using a national 2022 survey of informal caregivers, a grouping method found four patterns. Two groups give care at home as the main caregiver, split into excessive and moderate loads. Two lighter groups help as secondary caregivers, and the lightest gives no home care at all. The patterns differ by age, gender, schooling, work status, and tie to the person cared for. The authors say the map can guide support that fits each pattern, rather than treating all caregivers alike.
Catalog record
| CREATOR | Sung Hyun Ko, Yeonjung Lee, Alex Bierman |
|---|---|
| YEAR | 2023 |
| COLLECTION | PAPERS |
| FORMAT | TXT |
| FILE SIZE | 2 KB |
| VERSION | 1.0 |
| LICENSE | CC BY 4.0 |
| RIGHTS | CC BY |
| SOURCE | Europe PMC |