Influence of General Health on Quality of Life by the Caregiver and Burden Care as a Mediator: Bayesian Estimator Structural Equation Analysis
Abstract
Ek Uma Imkome
Objectives: To test structural equation models of General Health on quality of life by the caregiver and burden care as a mediator.
Methods: The quality of life scale was administered to 297 caregivers of persons with schizophrenia. The models were examined using maximum likelihood confirmatory factor analysis (ML-CFA) and Bayesian structural equation modeling (BSEM). The path analysis with direct and indirect effects was discussed in the model.
Results: The results reveal that the models fit well for evidence-based. The BIC 1412.998 < 3161.387, DIC 1365.247 < 3094.673, and WAIC 1370.802 < 3094.651 were the lowest BIC of the models and displayed a simple and parsimonious factor-loading pattern.
Conclusions: Overall, both of the scales demonstrated excellent measurement properties supporting its relevance to comprehensively measure caregivers' impact and burden on persons with schizophrenia. Psychiatric and mental health care teams and clinical researchers could use the quality of life scale to generate strategies to support the family caregiver and measure the multidisciplinary treatment team interventions' outcomes.