Purpose: To describe an intervention promoting benefit-finding in Alzheimer caregivers, to discuss key issues in implementation and ways to resolve them, and to examine whether the intervention reduced burden and depression in a small randomized trial. Design and Methods: Twenty-five caregivers were randomized into benefit-finding and psychoeducation groups. Both groups had eight weekly sessions. Outcome measures including role overload, Zarit Burden Interview, and Hamilton depression scale were collected at baseline and after treatment. Results were analyzed using analysis of covariance. Additionally, the challenges of implementing such interventions, some of which related to cultural issues, were analyzed qualitatively. Results: Controlling for pretest, the benefit-finding group had lower depression than the psychoeducation group at post-test, despite the fact that some caregivers found benefit-finding challenging. The two groups did not differ on overload and burden. However, within-group analysis suggested that both groups showed significant reductions in overload from pretest to post-test. In addition, we discussed participants’ difficulties in grasping the technique of thought modification for benefit-finding, recording such exercises at home, and sharing their thoughts and experiences in groups. We described measures undertaken in the main trial to overcome these issues. Implications: Cognitive approaches focusing on benefit-finding are feasible among Chinese caregivers, with preliminary evidence suggesting an effect on alleviating depression. Copyright © 2014 The Author.
|Early online date||Mar 2014|
|Publication status||Published - 2014|
CitationCheng, S.-T., Lau, R. W. L., Mak, E. P. M., Ng, N. S. S., & Lam, L. C. W. (2014). Benefit-finding intervention for Alzheimer caregivers: Conceptual framework, implementation issues, and preliminary efficacy. The Gerontologist, 54(6), 1049-1058.
- Alzheimer’s disease
- Positive aspects of caregiving
- Caregiver burden
- Randomized controlled trial
- Hong Kong Chinese