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Components of self-awareness affecting caregiver burden: a long-term follow-up study.
Brain Injury 2024 January 24
OBJECTIVE: Studies utilizing the discrepancy model of the Mayo-Portland Adaptability Inventory-4 (MPAI-4) have commonly used the cognitive and physical domains to estimate self-awareness. This study included other aspects of self-awareness such as awareness of one's social and emotional status and daily functioning to explore their effects on caregiver burden for ABI survivors.
METHODS: We studied 64 patient-caregiver pairs up to 29 years post-discharge from a holistic, milieu-oriented outpatient neurorehabilitation program. Discrepancy scores between ABI survivors' and caregivers' reports on the MPAI-4 subscales (i.e. Abilities, Adjustment, and Participation) and Total Score were used to determine self-awareness. Caregiver burden was measured using the Zarit Burden Interview (ZBI).
RESULTS: Exploratory linear regression analyses revealed that caregiver burden derived from the ZBI was predicted by the discrepancy scores generated from the Abilities ( p < 0.0001), Adjustment ( p < 0.01), Participation subscales ( p = 0.01), and Total Score ( p < 0.001), respectively. Among the exploratory models generated, the Total Score model had the highest predictive value (R2 = .33) for caregiver burden.
CONCLUSIONS: Measures of self-awareness should be comprehensive by considering diverse components of self-awareness. Increasing ABI survivors' self-awareness in different domains has the potential to effectively alleviate caregiver burden.
METHODS: We studied 64 patient-caregiver pairs up to 29 years post-discharge from a holistic, milieu-oriented outpatient neurorehabilitation program. Discrepancy scores between ABI survivors' and caregivers' reports on the MPAI-4 subscales (i.e. Abilities, Adjustment, and Participation) and Total Score were used to determine self-awareness. Caregiver burden was measured using the Zarit Burden Interview (ZBI).
RESULTS: Exploratory linear regression analyses revealed that caregiver burden derived from the ZBI was predicted by the discrepancy scores generated from the Abilities ( p < 0.0001), Adjustment ( p < 0.01), Participation subscales ( p = 0.01), and Total Score ( p < 0.001), respectively. Among the exploratory models generated, the Total Score model had the highest predictive value (R2 = .33) for caregiver burden.
CONCLUSIONS: Measures of self-awareness should be comprehensive by considering diverse components of self-awareness. Increasing ABI survivors' self-awareness in different domains has the potential to effectively alleviate caregiver burden.
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