RESUMO
BACKGROUND: Loneliness and social isolation are recognised as social problems and denote a significant health burden. The aim of this study was to conduct a systematic literature review to explore the health state utility values (HSUVs) associated with loneliness and/or social isolation. METHOD: Peer-reviewed journals published in English language that reported both HSUVs along with loneliness and/or social isolation scores were identified through five databases. No restrictions were made relating to the population, study design or utility estimation method used. RESULTS: In total, 19 papers were included; 12 included a measure of loneliness, four studies included a measure of social isolation and three studies considered both loneliness and social isolation. All studies focused on individuals with pre-existing health conditions-where the EQ-5D-3L instrument was most frequently used to assess HSUVs. HSUVs ranged from 0.5 to 0.95 in those who reported not being lonely, 0.42 to 0.97 in those who experienced some level of loneliness, 0.3 to 0.87 in those who were socially isolated and 0.63 to 0.94 in those who were not socially isolated. CONCLUSION: There was significant variation in HSUVs complicated by the presence of co-morbidities, population heterogeneity, variations in methods used to derive utility scores and differences in the measurement of loneliness and/or social isolation. Nevertheless, the lower HSUVs observed should be considered to significantly impact quality of life, though we also note the need for further research to explore the unique impact of loneliness and social isolation on HSUVs that can be used in the future economic evaluations.
Assuntos
Solidão , Qualidade de Vida , Análise Custo-Benefício , Humanos , Qualidade de Vida/psicologia , Isolamento SocialRESUMO
PURPOSE: In cost-utility analysis, outcomes are usually measured in terms of quality-adjusted life years, where length of life is adjusted by levels of health-related quality of life (HRQoL) using a single value, known as a health state utility value (HSUV). This study explores the HSUVs of parents of children with a serious illness admitted within three hospital departments (cardiology, oncology and paediatric intensive care) across four time points, compares HSUVs with Australian population norms and examines predictors of parental HSUVs. METHODS: Data were obtained from the Take a Breath study, where parental HSUVs were measured using the Assessment of Quality of Life-8 Dimensions (AQoL-8D). Descriptive statistics and t-tests compared the AQoL-8D scores with population norms, while repeated measures ANOVA was used to compare parental HSUVs of children treated across illness groups over time. Regression analysis was performed to determine predictors of parental HSUVs. RESULTS: Parental HSUVs were not significantly different from the general Australian population norms (p = 0.939), as measured by the AQoL-8D. However, statistically significant differences were observed in the psychosocial super-dimension (p < 0.01) and in all eight AQoL-8D dimensions, except for senses and self-worth. No significant differences were observed across illness groups. Parental HSUVs were associated with psychosocial risk factors of trait anxiety (p < 0.001), depression (p < 0.001) and family beliefs (p = 0.024). CONCLUSION: Having a child with a severe illness has an impact on the psychosocial aspects of parental HRQoL regardless of the type of illness. Psychosocial health factors of trait anxiety, depression and family beliefs were important predictors of parental HSUV.