Predictive model for the preparedness level of the family caregiver

Abstract

Background: Many caregivers are insufficiently prepared, and little is known about measures that can be employed to enhance their preparedness. Aim: The aim of this study was to explore the factors associated with caregiver preparedness and establish a predictive model including the relationship between preparedness, burden, resilience and anxiety. Design: A cross-sectional design was used. Methods: The sample included 172 family caregivers who were selected from one private hospital and daytime nursing centres. Caregivers were recruited from 2018 to 2019; they completed assessments for caregiver preparedness, anxiety, resilience and burden. A multiple linear regression analysis was performed to identify the factors associated with preparedness. Results: Preparedness was significantly associated with high levels of resilience and a low level of burden, while it was not associated with anxiety. Caregivers' gender, experience and cohabitation status were the main predictors. Resilience is an explanatory factor for caregiver preparedness in the predictive model. Conclusion: The demographic variables related to preparedness can be used to guide efforts to meet the needs of vulnerable caregivers. A caregiver's preparedness depends on their level of burden and resilience. Nursing interventions focused on these aspects could make the caregiver's role easier and improve the quality of care provided.