Value in health : the journal of the International Society for Pharmacoeconomics and Outcomes Research
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Multicenter Study Comparative Study
Modeling Health State Utility Values in Ankylosing Spondylitis: Comparisons of Direct and Indirect Methods.
Cost-effectiveness analyses of technologies for patients with ankylosing spondylitis frequently require estimates of health utilities as a function of the Bath Ankylosing Spondylitis Disease Activity Index (BASDAI) and the Bath Ankylosing Spondylitis Functional Index (BASFI). ⋯ These results add to a body of evidence that the statistical model used to estimate health utilities matters. Linear models are not appropriate. The four-class bespoke mixture model approach provides the best performing method to estimate the EuroQol five-dimensional questionnaire values from BASDAI and BASFI.
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Comparative Study
Analysis of Medicine Prices in New Zealand and 16 European Countries.
To compare prices of medicines, both originators and generics, in New Zealand and 16 European countries. ⋯ Medicine prices varied considerably between European countries and New Zealand as well as among the European countries. These differences are likely to result from national pricing and reimbursement policies.
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To assess the population-level impact and cost-effectiveness of hepatitis A vaccination programs in the United States. ⋯ Our model predicted that universal childhood hepatitis A vaccination led to significant reductions in hepatitis A mortality and morbidity. Consequently, universal vaccination was cost saving compared with a regional vaccination policy. Herd protection effects of hepatitis A vaccination programs had a significant impact on hepatitis A mortality, morbidity, and cost-effectiveness ratios.
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In a previous report, the ISPOR Task Force on Dynamic Simulation Modeling Applications in Health Care Delivery Research Emerging Good Practices introduced the fundamentals of dynamic simulation modeling and identified the types of health care delivery problems for which dynamic simulation modeling can be used more effectively than other modeling methods. The hierarchical relationship between the health care delivery system, providers, patients, and other stakeholders exhibits a level of complexity that ought to be captured using dynamic simulation modeling methods. As a tool to help researchers decide whether dynamic simulation modeling is an appropriate method for modeling the effects of an intervention on a health care system, we presented the System, Interactions, Multilevel, Understanding, Loops, Agents, Time, Emergence (SIMULATE) checklist consisting of eight elements. This report builds on the previous work, systematically comparing each of the three most commonly used dynamic simulation modeling methods-system dynamics, discrete-event simulation, and agent-based modeling. ⋯ Upon reviewing this report in addition to using the SIMULATE checklist, the readers should be able to identify whether dynamic simulation modeling methods are appropriate to address the problem at hand and to recognize the differences of these methods from those of other, more traditional modeling approaches such as Markov models and decision trees. This report provides an overview of these modeling methods and examples of health care system problems in which such methods have been useful. The primary aim of the report was to aid decisions as to whether these simulation methods are appropriate to address specific health systems problems. The report directs readers to other resources for further education on these individual modeling methods for system interventions in the emerging field of health care delivery science and implementation.
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The objectives of this systematic review were 1) to identify studies that assess the psychometric performance of the English-language version of 35 generic multidimensional patient-reported outcome measures (PROMs) for children and young people in general populations and evaluate their quality and 2) to summarize the psychometric properties of each PROM. ⋯ Overall, consistent positive findings for at least five psychometric properties were found for Child Health and Illness Profile, Healthy Pathways, KIDSCREEN, and Multi-dimensional Student Life Satisfaction Scale. None of the PROMs had been evaluated for responsiveness to detect change in general populations. Further well-designed studies with transparent reporting of methods and results are required.