http://repub.eur.nl/res/aut/29530/ List of Publications en http://repub.eur.nl/static-eur/img/logo.png http://repub.eur.nl http://repub.eur.nl/res/pub/24050/ 2011-06-23T00:00:00Z Background: The validity, reliability and cross-country comparability of summary measures of population health (SMPH) have been persistently debated. In this debate, the measurement and valuation of nonfatal health outcomes have been defined as key issues. Our goal was to quantify and decompose international differences in health expectancy based on health-related quality of life (HRQoL). We focused on the impact of value set choice on cross-country variation. Methods: We calculated Quality Adjusted Life Expectancy (QALE) at age 20 for 15 countries in which EQ-5D population surveys had been conducted. We applied the Sullivan approach to combine the EQ-5D based HRQoL data with life tables from the Human Mortality Database. Mean HRQoL by country-gender-age was estimated using a parametric model. We used nonparametric bootstrap techniques to compute confidence intervals. QALE was then compared across the six country-specific time trade-off value sets that were available. Finally, three counterfactual estimates were generated in order to assess the contribution of mortality, health states and health-state values to cross-country differences in QALE. Results: QALE at age 20 ranged from 33 years in Armenia to almost 61 years in Japan, using the UK value set. The value sets of the other five countries generated different estimates, up to seven years higher. The relative impact of choosing a different value set differed across country-gender strata between 2% and 20%. In 50% of the country-gender strata the ranking changed by two or more positions across value sets. The decomposition demonstrated a varying impact of health states, health-state values, and mortality on QALE differences across countries. Conclusions: The choice of the value set in SMPH may seriously affect cross-country comparisons of health expectancy, even across populations of similar levels of wealth and education. In our opinion, it is essential to get more insight into the drivers of differences in health-state values across populations. This will enhance the usefulness of health-expectancy measures. http://repub.eur.nl/res/pub/29112/ 2008-08-01T00:00:00Z Background: In 2003, the Dutch psoriasis guidelines were among the first evidence-based medicine guidelines in dermatology. Although pivotal, the implementation of dermatological guidelines has not been assessed. Objectives: To evaluate various aspects that affect implementation of clinical guidelines such as knowledge, attitudes and practices among dermatologists. Methods: A cross-sectional anonymous postal survey was conducted among all Dutch dermatologists. In addition to questions about knowledge and practices, 24 items assessed guidelines attitudes. Factor analysis was applied to merge these items into attitudinal scales and multiple linear regression was used to identify predictors for these scales. Results: Of the 353 dermatologists, 161 (46%) completed the questionnaire. Almost all respondents were aware of the guidelines and 60% reported to have a decent knowledge of their content. Factor analysis retained 22 items divided into three scales: usefulness and content, barriers, and reliability. Apart from some disagreement on the user-friendliness and communication facilitating properties, the dermatologists' attitudes were generally positive. A larger volume of patients with psoriasis was associated with more frequent use of the guidelines [adjusted odds ratio (OR) = 2.42; 95% confidence interval (CI) 1.02-5.72]. Good familiarity predicted a more positive attitude towards the guidelines' usefulness and content (P < 0.001), perceived barriers (P < 0.001), and more frequent use in practice (adjusted OR = 8.38; 95% CI 3.08-22.81). Conclusions: Dutch dermatologists seem to know and appreciate their psoriasis guidelines and use them more often when they have a larger psoriasis population. Enhancing the familiarity of the guidelines among users may result in a more positive attitude towards them and a higher frequency of use. http://repub.eur.nl/res/pub/30353/ 2008-05-14T00:00:00Z Background. Indicators of hospital quality, such as hospital standardized mortality ratios (HSMR), have been used increasingly to assess and improve hospital quality. Our aim has been to describe and explain variation in new HSMRs for the Netherlands. Methods. HSMRs were estimated using data from the complete population of discharged patients during 2003 to 2005. We used binary logistic regression to indirectly standardize for differences in case-mix. Out of a total of 101 hospitals 89 hospitals remained in our explanatory analysis. In this analysis we explored the association between HSMRs and determinants that can and cannot be influenced by hospitals. For this analysis we used a two-level hierarchical linear regression model to explain variation in yearly HSMRs. Results. The average HSMR decreased yearly with more than eight percent. The highest HSMR was about twice as high as the lowest HSMR in all years. More than 2/3 of the variation stemmed from between-hospital variation. Year (-), local number of general practitioners (-) and hospital type were significantly associated with the HSMR in all tested models. Conclusion. HSMR scores vary substantially between hospitals, while rankings appear stable over time. We find no evidence that the HSMR cannot be used as an indicator to monitor and compare hospital quality. Because the standardization method is indirect, the comparisons are most relevant from a societal perspective but less so from an individual perspective. We find evidence of comparatively higher HSMRs in academic hospitals. This may result from (good quality) high-risk procedures, low quality of care or inadequate case-mix correction.