Development and Validation of Caregiver Risk Evaluation (CaRE): A New Algorithm to Screen for Caregiver Burden

TitleDevelopment and Validation of Caregiver Risk Evaluation (CaRE): A New Algorithm to Screen for Caregiver Burden
Publication TypeJournal Article
Year of Publication2020
AuthorsGuthrie D.M, Williams N., Beach C., Maxwell C.J, Mills D., Mitchell L., Reid R.C, Poss J.W
JournalJournal of Applied Gerontology
Date PublishedMay 26
ISBN Number0733-4648
Accession NumberWOS:000536561200001
Keywordsanalysis-regression models, caregiving-informal, cognitive performance, dementia, depression rating-scale, home and community based care and services, home-care, InterRAI, interview, Minimum data set, older-adults, predictors, psychometric properties, version

Objective: The main objective was to develop a decision-support tool to assess the risk of caregiver burden, the Caregiver Risk Evaluation (CaRE) algorithm. Methods: Home care clients were assessed using the Resident Assessment Instrument for Home Care (RAI-HC). Their caregiver completed the 12-item Zarit Burden Interview (ZBI), the main dependent measure, which was linked to the RAI-HC. Results: In the sample (n = 344), 48% were aged 85+ years and 61.6% were female. The algorithm can be collapsed into four categories (low, moderate, high, and very high risk). Relative to the low-risk group, clients in the very high-risk group had an odds ratio of 5.16 (95% confidence interval: [2.05, 12.9]) for long-term care admission, after adjusting for client age, sex, and regional health authority. Discussion: The CaRE algorithm represents a new tool to be used by home care clinicians as they proactively plan for the needs of clients and their caregivers.

Short TitleJournal of applied gerontology : the official journal of the Southern Gerontological Society
Alternate JournalJ Appl Gerontol