Search

Background: Forthcoming cervical cancer screening strategies involving human papillomavirus (HPV) testing for women not vaccinated against HPV infections may increase colposcopy referral rates. We quantified health and resource trade-offs associated with alternative HPV-based algorithms to inform decision-makers when choosing between candidate algorithms.Methods: We used a mathematical simulation model of HPV-induced cervical carcinogenesis in Norway. We compared the current cytology-based strategy to alternative strategies that varied by the switching age to primary HPV testing (ages 25-34 years), the routine screening frequency (every 3-10 years), and management of HPV-positive, cytology-negative women. Model outcomes included reductions in lifetime cervical cancer risk, relative colposcopy rates, and colposcopy rates per cervical cancer prevented.Results: The age of switching to primary HPV testing and the screening frequency had the largest impacts on cancer risk reductions, which ranged from 90.9% to 96.3% compared to no screening. In contrast, increasing the follow-up intensity of HPV-positive, cytology-negative women provided only minor improvements in cancer benefits, but generally required considerably higher rates of colposcopy referrals compared to current levels, resulting in less efficient cervical cancer prevention.Conclusions: We found that in order to maximise cancer benefits HPV-based screening among unvaccinated women should not be delayed: rather, policy makers should utilise the triage mechanism to control colposcopy referrals. [ABSTRACT FROM AUTHOR]

The objective of this study was to review available health economic evaluations of PCSK9 (proprotein convertase subtilisin/kexin type 9) inhibitors. These drugs reduce low-density lipid cholesterol levels and cardiovascular risk, but their cost effectiveness has been questioned. We searched Medline and Embase for economic evaluations in any language at any time. Studies were included if they analysed any PCSK9 inhibitor compared with either statin alone or in combination with ezetimibe or any other therapy considered standard prior to the introduction of PCSK9 inhibitors. We found ten full health economic evaluations of PCSK9 inhibitors, two from Europe and eight from the United States (US). Six of the eight from the US were from two different consortia that analysed PCSK9 inhibitors at different stages through the development of evidence. All studies generally reported incremental cost-effectiveness ratios above suggested thresholds for cost effectiveness, except one study from Spain. The results of this review indicate that PCSK9 inhibitors in general are not cost effective at the current prices, but lower prices may change the results. [ABSTRACT FROM AUTHOR]

Purpose: The de facto standard method for valuing EQ-5D health states is the time trade-off (TTO), an iterative choice procedure. The TTO requires a starting point (SP), an initial offer of time in full health which is compared to a fixed offer of time in impaired health. From the SP, the time in full health is manipulated until preferential indifference. The SP is arbitrary, but may influence respondents, an effect known as anchoring bias. The aim of the study was to explore the potential anchoring effect and its magnitude in TTO experiments.Methods: A total of 1249 respondents valued 8 EQ-5D health states in a Web study. We used the lead time TTO (LT-TTO) which allows eliciting negative and positive values with a uniform method. Respondents were randomized to 11 different SPs. Anchoring bias was assessed using OLS regression with SP as the independent variable. In a secondary experiment, we compared two different SPs in the UK EQ-5D valuation study TTO protocol.Results: A 1-year increase in the SP, corresponding to an increase in TTO value of 0.1, resulted in 0.02 higher recorded LT-TTO value. SP had little impact on the relative distance and ordering of the eight health states. Results were similar to the secondary experiment.Conclusion: The anchoring effect may bias TTO values. In this Web-based valuation study, the observed anchoring effect was substantial. Further studies are needed to determine whether the effect is present in face-to-face experiments. [ABSTRACT FROM AUTHOR]

Background: National EQ-5D value sets are developed because preferences for health may vary in different populations. UK values are lower than US values for most of the 243 possible EQ-5D health states. Although similar protocols were used for data collection, analytic choices regarding how to model values from the collected data may also influence national value sets. Participants in the UK and US studies assessed the same subset of 42 EQ-5D health states using the time trade-off (TTO) method. However, different methods were used to transform negative values to a range bounded by 0 and -1, and values for all 243 health states were estimated using two different regression models. The transformation of negative values is inconsistent with expected utility theory, and the choice of which transformation method to use lacks a theoretical foundation. Objectives: Our objectives were to assess how much of the observed difference between the UK and US EQ-5D value sets may be explained by the choice of transformation method for negative values relative to the choice of regression model and the differences between elicited TTO values in the respective national studies (datasets). Methods: We applied both transformation methods and both regression models to each of the two datasets, resulting in eight comparable value sets We arranged these value sets in pairs in which one source of difference (transformation method, regression model or dataset) was varied. For each of these paired value sets, we calculated the mean difference between the two matching values for each of the 243 health states. Finally, we calculated the mean utility gain for all possible transitions between pairs of EQ-5D health states within each value set and used the difference in transition scores as a measure of impact from changing transformation method, regression model or dataset. Results: The mean absolute difference in values was 1.5 times larger when changing the transformation method than when using different datasets. The choice of transformation method had a 3.2 times larger effect on the mean health gain (transition score) than the choice of dataset. The mean health gain in the UK value set was 0.09 higher than in the US value set. Using the UK transformation method on the US dataset reduced this absolute difference to 0.02. The choice of regression model had little overall impact on the differences between the value sets. Conclusions: Most of the observed differences between the UK and US value sets were caused by the use of different transformation methods for negative values, rather than differences between the two study populations as reflected in the datasets. Changing the regression model had little impact on the differences between the value sets. [ABSTRACT FROM AUTHOR]

Objective. To estimate the effect from an osteoporosis intervention in terms of postponement of hip fractures. Design. A Markov model using Nordic data on mortality and hip fracture incidence. Patients. Women aged 50 years and older with increased risk of hip fracture. Intervention. A hypothetical intervention that reduces the risk of hip fracture by 50%. Main outcome measures. Postponement of hip fractures – that is increase in expected fracture-free survival from osteoporosis interventions. Results. A 1-year treatment would on average postpone hip fracture by 12 days if therapy were started at the age of 50 years and 23, 55, 90 or 74 days if the treatment were started at the ages of 60, 70, 80 or 90 years, respectively. For 10 years of treatment, the benefit was 146, 260, 369, 373 and 167 days, respectively. The younger the patient, the lower the risk of fracture and, consequently, the greater the benefit for those few who actually could benefit. Conclusions. The benefit in terms of average postponement of hip fractures from osteoporosis intervention was, other things being equal, greatest in women aged 70–90 years. Fracture postponement may represent an alternative to risk reductions in expressing the effect of osteoporosis interventions. [ABSTRACT FROM AUTHOR]

Presents a correction to the article "Does the Early Adopter of Drugs Exist? A Population-Based Study of General Practitioners' Prescribing of New Drugs" that was previously published online in the February 4, 2005 issue of the "European Journal of Clinical Pharmacology."