The sequelae and the disability and dependence that follow an acquired brain injury (ABI) may result in a significant reduction in the quality of life (QoL) of those affected. The objective was to assess the QoL of a sample of Spanish patients with an ABI and analyze the influence of certain sociodemographic and injury-related variables on their QoL. The sample comprised 421 adults (60% male; M _age = 53.12; SD = 14.87). Professionals and relatives assessed the patients' QoL through the CAVIDACE scale, an ABI-specific tool based on the eight-domain QoL model. Univariate analyses showed statistically significant differences in the QoL scores in several sociodemographic (age, civil status, education level, prior employment status, type of home, level of supports, loss of legal capacity, recognized dependence, and degree of dependence) and injury-related (time since the injury, location of the injury, and presence of post-traumatic amnesia) variables. The multiple linear regression showed that loss of legal capacity, time since the injury, prior employment status, location of the injury, and degree of dependence were significant QoL predictors. These findings provide knowledge for the development of programs aimed at reducing the negative impact of ABI on QoL.

Traumatic brain injury (TBI) has a long-lasting impact on participation and health-related quality of life (HRQL). We aimed to describe the physical and mental health trajectories and to identify their predictors across the first 10 years after TBI. A prospective longitudinal cohort of 97 individuals with moderate to severe TBI (age 16–55 years) in Norway were followed up at 1, 2, 5, and 10 years post-injury. Their socio-demographic and injury characteristics were recorded at baseline; their responses to the 36-Item Short Form Health Survey (SF-36) were collected at each follow-up. The Physical (PCS) and Mental Component Summary (MCS) scores were used as the outcome measures of physical and mental health. The predictors of the trajectories were described and examined using hierarchical linear modelling. The subscale scores showed a stable or increasing trend, but only the Role Physical and Role Emotional subscales showed clinically relevant positive changes from 1 to 10 years post-injury. Longer time, male gender, employment pre-injury, and shorter length of post-traumatic amnesia were significant predictors of better physical health trajectories; longer time, male gender, and employment pre-injury were significant predictors of better mental health trajectories. At-risk individuals may be targeted to receive rehabilitation interventions to improve their long-term quality of life outcomes.

The implications of the individual quality of life (QoL) model of Schalock and Verdugo have made it the most cited QoL model in the field of disability. The QoL model is understood as a conceptual and applied framework for action that allows the materialization of the rights of persons with disabilities through the multidimensional assessment of these persons using QoL indicators, and the development of actions guided by these values and supported by evidence. The purpose of this work is to present the foundations of this model and offer a step-by-step guide to developing standardized QoL assessment instruments and providing evidence that supports their use to implement the model in practice. This paper explores relevant topics such as: (a) the need to identify critical population groups and contexts; (b) the identification of QoL indicators for said groups and contexts; (c) the development of items focused on the assessment of personal outcomes; (d) provision to the items of validity evidence based on content and pilot measure design and (e) validation process to gather evidence that supports the uses of the instrument. Last, a framework that allows using the evidence on personal outcomes as disaggregated and aggregated data at different levels of the social system is presented, thus highlighting the role of the model as a change agent regarding individuals, organizations and schools, and public policy.

The diagnosis of a neurodegenerative disease (ND) produces profound changes in the quality of life of the affected families. Despite the vital importance of these processes, the scientific literature has addressed this topic almost exclusively relating to the main caregiver or using limited approaches. Thus, the main objective of this research is to achieve a deeper understanding of the quality of family life of people with a neurodegenerative disease, following a mixed-method approach that combines quantitative and qualitative methodology. The quantitative instrument was the Spanish version of the Family Quality of Life Survey-Neurodegenerative Disease (FQOLS-ND), which was completed by 300 participating families. The qualitative methodology was used in two focus groups with family caregivers, with a total of 21 participants. On the one hand, confirmation of the dimensional structure of the scale in the focus groups was obtained and, on the other hand, the results of family quality of life in attainment and satisfaction were shown to be high for Family Relations and Careers and Planning for Careers and low for Support from Services and Leisure and Recreation. The results of this study, through the combination of quantitative and qualitative information, helps to identify key issues to optimize services that respond to the priority needs of families.

Background: The sequelae and disabilities that follow an acquired brain injury (ABI) may negatively affect quality of life (QoL). The main objective of the study is to describe the QoL after an ABI and identify the predictors of a better QoL. Methods: Prospective cohort study with follow-up measurement after one-year. The sample comprised 203 adults with ABIs (64% male) aged 18–86 years (M = 53.01, SD = 14.44). Stroke was the main etiology of the injury (55.7%), followed by a TBI (32.8%), and the average time since injury was 8 years (M = 8.25, SD = 7.83, range = 0.5–47.5). Patients assessed their QoL through the scale Calidad de Vida en Daño Cerebral (CAVIDACE self-reported version; “quality of life in brain injury” in English), an ABI-specific tool based on the eight-domain QoL model. Other variables measured were: depression, self-awareness, community integration, resilience, and social support at baseline and one-year follow-up. Results: The studied factors showed few significant changes over time. The analyses showed statistically significant differences in QoL scores in several sociodemographic (age, civil status, education, legal capacity, and dependency), injury-related (time, location, and comorbidity), rehabilitation, and personal-social variables (self-awareness, depression, social support, resilience, and community integration). The levels of dependency, depression, and satisfaction with social support were independent predictors of the total QoL score one-year follow-up. Conclusions: QoL after ABI depends on multiple elements that must be considered. There are factors such as satisfaction with social support, depression, community integration, and resilience that must be monitored throughout the rehabilitation process.