Nicolas Sirven () (IRDES institut for research and information in health economics) Brigitte Santos-Eggimann () (IUMSP Institute of Social and Preventive Medicine, University of Lausanne) Jacques Spagnoli () (IUMSP Institute of Social and Preventive Medicine, University of Lausanne)
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The aim of this paper is to measure and to correct for the potential incomparability of responses to the SHARE survey on health care responsiveness. A parametric approach based on the use of anchoring vignettes is applied to cross-sectional data (2006-07) in ten European countries. More than 6,000 respondents aged 50 years old and over were asked to assess the quality of health care responsiveness in three domains: waiting time for medical treatment, quality of the conditions in visited health facilities, and communication and involvement in decisions about the treatment. Chopit models estimates suggest that reporting heterogenity is influenced by both individual (socio-economic, health) and national characteristics. Although correction for differential item functioning does not considerably modify countries ranking after controlling for the usual covariates, about two thirds of the respondents' self-assessments have been re-scaled in each domain. Our results suggest that reporting heterogenity tends to overestimate health care responsiveness for "time to wait for treatment", whereas it seems to underestimate people's self-assessment in the two other domains.
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Paper provided by IRDES institut for research and information in health economics in its series Working Papers with number
DT15.
Find related papers by JEL classification: I11 - Health, Education, and Welfare - - Health - - - Analysis of Health Care Markets C81 - Mathematical and Quantitative Methods - - Data Collection and Data Estimation Methodology; Computer Programs - - - Microeconomic Data C42 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods: Special Topics - - - Survey Methods
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