Self-Valuation and Societal Valuations of Health State Differ With Disease Severity in Chronic and Disabling Conditions

Dados Bibliográficos

ID9103750
AutoresKathryn Mcpherson (0000-0003-1240-8882, Auckland University of Technology, autor correspondente), Julie Myers (University of Otago), William J Taylor (0000-0001-6075-8479, University of Otago), Harry K McNaughton, Harry McNaughton (0000-0003-3030-6062, Medical Research Institute of New Zealand), Mark Weatherall (0000-0002-0051-9107, University of Otago)
Ano2004
Volume42
Fascículo11
Páginas1143-1151
Data de publicação2004-11-01
Peer ReviewedSim
Open AccessNão
TipoARTICLE
PeriódicoMedical Care (JOURNAL)
Identificadores do periódicoISSN: 0025-7079 • E-ISSN: 1537-1948
EditoraOvid Technologies (Wolters Kluwer Health) (PUBLISHER)
DOI10.1097/00005650-200411000-00014
PMID15586842
OpenAlexW2094327875
IdiomaEN
Citações recebidas6
Referências citadas33

OBJECTIVES: We sought to determine the relationship between self-reported ratings of health-related quality of life (HRQoL) by people with 3 chronic and disabling conditions and population estimates of those health states and to model factors that might explain the disagreement between these 2 ratings. RESEARCH DESIGN: A cross-sectional postal survey was sent in which each participant completed a set of questionnaires addressing HRQoL. Data from self-valuation on a visual analog scale (VAS) was compared with a population-based VAS-equivalent valuation, using the EQ-5D instrument. Different ways of scaling the 2 VAS scores were also explored. Data were analyzed using descriptive statistics and analysis of covariance. SUBJECTS: A community sample of 1036 people took part in the study (rheumatoid arthritis n = 142, stroke n = 585, multiple sclerosis n = 309). MEASUREMENT INSTRUMENT: The EQ-5D health state profile and accompanying visual analog scale were used. RESULTS: Self-ratings were significantly different than the population-based ratings, and agreement was poor, both on the original scale of the data and by analyses of rescaled data. On the original scales the mean difference was 0.13 (95% confidence interval 0.117-0.143). Diagnosis, health state severity, and its square explained 35.3% of the variation in the differences between self and population ratings with a curvilinear relationship suggesting that the differences increased as the health state worsened, but at a decreasing rate as health state severity increased. CONCLUSIONS: This study provides evidence that EQ-5D population valuation estimates of treatment benefit for people with disabling and chronic conditions may well be inaccurate representations of the degree of change actually experienced by the individual with the condition. The varying magnitude of difference between the 2 forms of valuation has important implications for interpreting shifts in health status valuation following interventions for these populations

Actuarial science · Chronic disease · Disease · Economics · Intensive care medicine · Valuation (finance) · Chronic Disease Management Strategies · Finance · Health Systems, Economic Evaluations, Quality of Life · Internal Medicine · Medicine · Patient Satisfaction in Healthcare