The Utility of Solution-Oriented Strategies to Support Grandparents Raising Grandchildren
Abstract
Objectives: The purpose of this article is to evaluate the effectiveness of a psychosocial intervention program to improve the health and social psychological outcomes for grandparents raising grandchildren using the theory of Selection, Optimization, and Compensation (Baltes, P. B., & Baltes, M. M. (1990). Psychological perspectives on successful aging: The model of selective optimization with compensation. In P. B. Baltes & M. M. Baltes (Eds.), Successful aging: Perspectives from the behavioral sciences (pp. 1-34). Cambridge University Press. doi:10.1017/CBO9780511665684.003). Methods: Fifty-two grandparents were randomly assigned either to a 6-session solution-oriented goal-setting program or to a waiting list control condition who subsequently received the intervention. Results: Grandparents in the intervention group, in comparison to the waiting list control group, reduced their level of depression, improved their parental efficacy, overall psychosocial adjustment, and increased their ability to choose effective goals. For the most part, findings were replicated in the waiting list control analyses. Discussion: While these findings are consistent with previous studies using psychosocial interventions with parents and grandparent caregivers, they also provide support for strength-based proactive behavioral approaches to improve the quality of life of grandparent caregivers.
How strong is the evidence?
Evidence Hub reads this as a randomized trial, done in people. Its evidence level is 2 of 5 (High · randomized trial). Randomized trials of a reasonable size are the strongest single-study design.
Read the paper
Related studies
- The Matrisome: In Silico Definition and In Vivo Characterization by Proteomics of Normal and Tumor Extracellular Matrices
- The Escherichia coli MG1655 in silico metabolic genotype: Its definition, characteristics, and capabilities
- In silico pharmacology for drug discovery: methods for virtual ligand screening and profiling
- In silico prediction of splice-altering single nucleotide variants in the human genome
- In silico clinical trials: how computer simulation will transform the biomedical industry
- In silico optimization of a guava antimicrobial peptide enables combinatorial exploration for peptide design
Go deeper in Evidence Hub
Evidence Hub adds a study data sheet (design, sample size, evidence level, key numbers), an AI summary and a chat grounded in the paper's text.