Models for predicting subjective quality of life in individuals with traumatic brain injury

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Abstract
The objective of this study was to compare the utility of ICIDH-based models and needs-based models for predicting subjective quality of life in individuals with traumatic brain injury (TBI). Using an existing data base of individuals with TBI living in the community, seven predictive models were tested using multiple regression analyses. In comparing adjusted R2 associated with each of seven models, it was concluded that needs-based models using subjective indicators clearly predict more variance in measures of life satisfaction, or subjective well-being, than do either type of model relying on objective measures. It is suggested that, in documenting 'outcomes' of rehabilitation, the degree to which the focal individual's important needs are met defines more directly his/her well-being than do measures of impairment, disability or handicap.

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