| Title | Development and Validation of Caregiver Risk Evaluation (CaRE): A New Algorithm to Screen for Caregiver Burden |
| Publication Type | Journal Article |
| Year of Publication | 2020 |
| Authors | Guthrie D.M, Williams N., Beach C., Maxwell C.J, Mills D., Mitchell L., Reid R.C, Poss J.W |
| Journal | Journal of Applied Gerontology |
| Date Published | May 26 |
| ISBN Number | 0733-4648 |
| Accession Number | WOS:000536561200001 |
| Keywords | analysis-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 |
| Abstract | 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. |
| DOI | 10.1177/0733464820920102 |
| Short Title | Journal of applied gerontology : the official journal of the Southern Gerontological Society |
| Alternate Journal | J Appl Gerontol |
