Describing health and medical costs, and the economic evaluation of health care: applications in injuries and cervical cancer

Since the late nineteenth century, population's health has improved tremendously, at least in wealthy nations. Life expectancy at birth in the Netherlands has increased at an unpr

Individual differences in the use of the response scale determine valuations of hypothetical health states: an empirical study

ABSTRACT: BACKGROUND: The literature remains inconclusive about the effects of socio-demographic characteristics of the respondent, including age, on valuation scores of hypothetical health states. We analyzed data from a study designed to discriminate between the effects of respondents age and time preference on valuations of health states to get insight in the contribution of individual response patterns to the variance in valuation scores. METHODS: 212 respondents from different age groups valued six hypothetical health states with three methods: a Visual Analogue Scale (VAS) and two variants of the Time trade-off (TTO). Analyses included a generalizability study, principal components analysis and cluster analysis. RESULTS: Valuation scores differed significantly but not systematically between valuation methods. A total of 36.8% of variance was explained by health states, 1.6% by elicitation method and 0.2% by age group. Individual differences in the use of the response scales, e.g. a tendency to give either high or low TTO-scores, or a high or low scoring tendency on the VAS were the main source of remaining variance. These response patterns were not related to age or other identifiable respondent characteristics. CONCLUSIONS: We conclude that individual response patterns were more important determinants of TTO or VAS valuations of health states than age or other measured respondent characteristics. Further valuation research should focus on explaining individual response patterns as a possible key to understanding the determinants of health state valuations

Who contextualises clinical epidemiological evidence?

We critically examine the discussion on the role of evidence-based medicine (EBM) in healthcare governance. We take the institutionally layered Dutch healthcare system as our case study. Here, different actors are involved in the regulation, provision and financing of healthcare services. Over the last decades, these actors have related to EBM to inform their actor specific roles. At the same time, EBM has increasingly been problematised. To better understand this problematisation, we organised focus groups and interviews. We noticed that particularly EBM’s reductionist epistemology and its uncritical use by ‘professional others’ are considered problematic. However, our analysis also reveals that something else seems to be at stake. In fact, all the actors involved underwrite EBM’s reductionist epistemology and emphasise that evidence should be contextualised. They however do so in different ways and with different contexts in mind. Moreover, the ways in which some actors contextualise evidence has consequences for the ways in which others can do the same. We therefore emphasise that behind EBM’s scientific problematisation lurks a political issue. A dispute over who should contextualise evidence how, in a layered healthcare system with interdependent actors that cater to both individual patients and the public. We urge public administration scholars and policymakers to open-up the political confrontation between healthcare actors and their sometimes irreconcilable, yet evidence-informed perspectives

Societal discounting of health effects in cost-effectiveness analyses: The influence of life expectancy

Background: Increasing life expectancy and decreasing marginal valuation of additional QALYs over time may serve as a basis for discounting future health effects from a societal perspective. Therefore, we tested the hypothesis that societal time preference for health is related to perceived future life expectancy. Methods: A sample of 223 people from the general population prioritised healthcare programmes with differential timing of health benefits and costs from a societal perspective. Furthermore, we asked respondents to estimate future life expectancy. Results: The relationship between future life expectancy and time preference for health is ambiguous. We observed that people who expected a higher future life expectancy elicited higher discount rates for health effects than those with lower life expectancy growth expectations for all four time periods (5, 10, 20 and 40 years into the future), but the differences were never significant. On average, providing explicit information on growth in life expectancy did significantly alter discount rates in the expected direction but, on an individual level, the results were rather inconsistent. We observed a significantly stronger time preference (i.e. higher discount rates) for health effects than for costs. As commonly observed, discount rates for health and money decreased with time delay following a hyperbolic function. Conclusion: Our data indicate that it is troublesome to elicit societal discount rates empirically, especially rates that are in line with the theoretical arguments on societal d

Prevalence and prognostic factors of disability after childhood injury

Objective. To assess the prevalence and the prognostic factors of disabilities after minor and major childhood injuries and to analyze which sociodemographic and injury-related factors are predictive for suboptimal functioning in the long term. Method. We conducted a patient follow-up study in a stratified sample of 1221 injured children who were aged 5 to 14 years and had visited an emergency department in the Netherlands. Our study sample was stratified so that severe, less common injuries were overrepresented. Postal questionnaires were sent 2.5, 5, and 9 months after the injury. We gathered injury and external cause data, sociodemographic information, and data on functional outcome with a generic health status measure EuroQol (EQ-5D) with an additional cognitive dimension. A nonresponse analysis was performed by multivariate logistic regression, and the data were adjusted for nonresponse and the sample stratification. We performed bootstrap analysis to estimate the prevalence of disability in terms of the EQ-5D summary score and the occurrence of limitations in separate health domains: mobility, self-care, usual activities, pain/discomfort, anxiety/depression, and cognition. Respondents also rated their own health state on a visual analog scale, between 0 (worst imaginable health state) and 100 (best imaginable health state). We analyzed the relationship between functional outcome and sociodemographic (age and gender) and injury-related determinants (type of injury, external cause, multiple injury, admission to hospital, and length of stay) by logistic regression analysis. Results. Response rates with respect to the original sample were 43%, 31%, and 30%, respectively. A total of 37% of the children were admitted to the hospital. The mean age of the children was 9.6 years. In two thirds (65%) of the cases, the injury was attributed to a home and/or leisure injury. The health status of injured children improved from 0.92 (EQ-5D summary score) at 2.5 months to 0.96 at 5 months and 0.98 at 9 months. Of all injured children, 26% had at least 1 functional limitation after 2.5 months, 18% after 5 months, and 8% still experienced functional limitations after 9 months. After 2.5 mo