The impact of ultrasound-based antenatal screening strategies to detect vasa praevia in the United Kingdom: An exploratory study using decision analytic modelling methods.

The objective of this exploratory modelling study was to estimate the effects of second-trimester, ultrasound-based antenatal detection strategies for vasa praevia (VP) in a hypothetical cohort of pregnant women. For this, a decision-analytic tree model was developed covering four discrete detection pathways/strategies: no screening; screening targeted at women undergoing in-vitro fertilisation (IVF); screening targeted at women with low-lying placentas (LLP); screening targeted at women with velamentous cord insertion (VCI) or a bilobed or succenturiate (BL/S) placenta. Main outcome measures were the number of referrals to transvaginal sonography (TVS), diagnosed and undiagnosed cases of VP, overdetected cases of VCI, and VP-associated perinatal mortality. The greatest number of referrals to TVS occurred in the LLP-based (2,083) and VCI-based screening (1,319) pathways. These two pathways also led to the highest proportions of pregnancies diagnosed with VP (VCI-based screening: 552 [78.9% of all pregnancies]; LLP-based: 371 [53.5%]) and the lowest proportions of VP leading to perinatal death (VCI-based screening: 100 [14.2%]; LLP-based: 196 [28.0%]). In contrast, the IVF-based pathway resulted in 66 TVS referrals, 50 VP diagnoses (7.1% of all VP pregnancies), and 368 (52.6%) VP-associated perinatal deaths which was comparable to the no screening pathway (380 [54.3%]). The VCI-based pathway resulted in the greatest detection of VCI (14,238 [99.1%]), followed by the IVF-based pathway (443 [3.1%]); no VCI detection occurred in the LLP-based or no screening pathways. In conclusion, the model results suggest that a targeted LLP-based approach could detect a substantial proportion of VP cases, while avoiding VCI overdetection and requiring minimal changes to current clinical practice. High-quality data is required to explore the clinical and cost-effectiveness of this and other detection strategies further. This is necessary to provide a robust basis for future discussion about routine screening for VP.

The Impact of Price Reductions After Loss of Exclusivity in a Cost-Effectiveness Analysis: Fingolimod Versus Interferon Beta-1a for the Treatment of Relapsing-Remitting Multiple Sclerosis.

BACKGROUND: Cost-effectiveness analyses tend not to take into account the availability of lower-priced generics following loss of exclusivity (LOE) of branded products. By not considering these generics, which are typically adopted quickly, total costs are likely to be overestimated and may be unreflective of real-world payer conditions in the United States. OBJECTIVE: To assess the impact of including future price reductions following LOE on the cost-effectiveness of fingolimod versus intramuscularly administered interferon beta-1a (IM IFNß-1a) as treatments for multiple sclerosis. METHODS: This model was adopted from a previously published Markov model and was conducted from a U.S. payer perspective over a 10-year time horizon. Patients with relapsing-remitting multiple sclerosis entered the model and received either fingolimod (an oral therapy) or IM IFNß-1a (an injectable). These treatments reflect the interventions studied in the TRANSFORMS randomized clinical trial. Clinical, cost, and utility inputs were based on a recent cost-effectiveness review of therapies for multiple sclerosis. To model LOE, price reductions and the proportion of patients switching to generic versions following LOE were based on published estimates. Price reductions varied to reflect the difference in product types (oral vs. large molecule injectable). Assumptions were also made around the proportion of patients switching to generic versions over time following LOE and the projected date of LOE. Outcomes included per-patient total direct costs (medication, administration and monitoring, and disease-related costs including relapses), quality-adjusted life-years, and the incremental cost per quality-adjusted life-year. RESULTS: Assuming no price reductions following LOE, fingolimod was considered cost-effective versus IM IFNß-1a ($118,434 per quality-adjusted life-year), despite having higher total direct costs over 10 years ($475,740 vs. $446,792). When including future price reductions following LOE, total direct costs were reduced with fingolimod and were lower than those accrued with IM IFNß-1a over the model time horizon ($308,570 vs. $442,653). Cost-effectiveness results were sensitive to changes in both clinical parameters and medication costs. Scenario analyses demonstrated that an earlier date of LOE was associated with lower total costs. CONCLUSIONS: Health economic models may predict higher total costs when the price reductions following LOE are not considered. Here, oral fingolimod was seen to be cost-saving versus IM IFNß-1a over the model time horizon when such price reductions were included. The cost implications of not accounting for future price changes may determine whether an intervention is considered cost-effective and as such may influence reimbursement decisions based on cost-effectiveness thresholds. Multiple product types (e.g., oral, injectable, and infused agents) have been approved for use as treatments for multiple sclerosis in the United States, and LOE is likely to have a different effect on each of these therapies. DISCLOSURES: This study was funded by Novartis Pharmaceuticals Corporation. Hua and Hersh report consulting fees from Novartis for work on this study. Hua also reports speaking, advisory board, and consulting fees from Biogen, Genzyme, Teva, EMD Serono, Genentech, TG Therapeutics, and Novartis for activities outside of this study. Hersh also reports speaking and consulting fees from Novartis, Biogen, Genzyme, Genentech, and EMD Serono for activities outside of this study, and research grants from PCORI and Biogen. At the time of this research, Morten and Kusel were paid employees of Costello Medical, which was contracted by Novartis to undertake some of this study's work. Lin, Cave, Herrera, and Ko were paid employees of Novartis at the time of this research. Cave, Herrera, and Ko also report owning stock in Novartis Pharmaceuticals. Varga provided services to Novartis at the time of this research and has nothing further to disclose. This research was presented as a poster at the AMCP Managed Care & Specialty Pharmacy Annual Meeting 2017; March 27-30, 2017; Denver, CO.

Challenges Associated with Estimating Utility in Wet Age-Related Macular Degeneration: A Novel Regression Analysis to Capture the Bilateral Nature of the Disease.

INTRODUCTION: The estimation of utility values for the economic evaluation of therapies for wet age-related macular degeneration (AMD) is a particular challenge. Previous economic models in wet AMD have been criticized for failing to capture the bilateral nature of wet AMD by modelling visual acuity (VA) and utility values associated with the better-seeing eye only. METHODS: Here we present a de novo regression analysis using generalized estimating equations (GEE) applied to a previous dataset of time trade-off (TTO)-derived utility values from a sample of the UK population that wore contact lenses to simulate visual deterioration in wet AMD. This analysis allows utility values to be estimated as a function of VA in both the better-seeing eye (BSE) and worse-seeing eye (WSE). RESULTS: VAs in both the BSE and WSE were found to be statistically significant (p < 0.05) when regressed separately. When included without an interaction term, only the coefficient for VA in the BSE was significant (p = 0.04), but when an interaction term between VA in the BSE and WSE was included, only the constant term (mean TTO utility value) was significant, potentially a result of the collinearity between the VA of the two eyes. The lack of both formal model fit statistics from the GEE approach and theoretical knowledge to support the superiority of one model over another make it difficult to select the best model. CONCLUSION: Limitations of this analysis arise from the potential influence of collinearity between the VA of both eyes, and the use of contact lenses to reflect VA states to obtain the original dataset. Whilst further research is required to elicit more accurate utility values for wet AMD, this novel regression analysis provides a possible source of utility values to allow future economic models to capture the quality of life impact of changes in VA in both eyes. FUNDING: Novartis Pharmaceuticals UK Limited.

Costs and effectiveness of fingolimod versus alemtuzumab in the treatment of highly active relapsing-remitting multiple sclerosis in the UK: re-treatment, discount, and disutility.

OBJECTIVE: Patients with relapsing-remitting multiple sclerosis (RRMS) treated with disease modifying therapies (DMTs) who continue to experience disease activity may be considered for escalation therapies such as fingolimod, or may be considered for alemtuzumab. Previous economic modeling used Markov models; applying one alternative technique, discrete event simulation (DES) modeling, allows re-treatment and long-term adverse events (AEs) to be included in the analysis. METHODS: A DES was adapted to model relapse-triggered re-treatment with alemtuzumab and the effect of including ongoing quality-adjusted life year (QALY) decrements for AEs that extend beyond previous 1-year Markov cycles. As the price to the NHS of fingolimod in the UK is unknown, due to a confidential patient access scheme (PAS), a variety of possible discounts were tested. The interaction of re-treatment assumptions for alemtuzumab with the possible discounts for fingolimod was tested to determine which DMT resulted in lower lifetime costs. The lifetime QALY results were derived from modeled treatment effect and short- and long-term AEs. RESULTS: Most permutations of fingolimod PAS discount and alemtuzumab re-treatment rate resulted in fingolimod being less costly than alemtuzumab. As the percentage of patients who are re-treated with alemtuzumab due to experiencing a relapse approaches 100% of those who relapse whilst on treatment, the discount required for fingolimod to be less costly drops below 5%. Consideration of treatment effect alone found alemtuzumab generated 0.2 more QALYs/patient; the inclusion of AEs up to a duration of 1 year reduced this advantage to only 0.14 QALYs/patient. Modeling AEs with a lifetime QALY decrement found that both DMTs generated very similar QALYs with the difference only 0.04 QALYs/patient. CONCLUSIONS: When the model captured alemtuzumab re-treatment and long-term AE decrements, it was found that fingolimod is cost-effective compared to alemtuzumab, assuming application of only a modest level of confidential PAS discount.

A discrete event simulation to model the cost-utility of fingolimod and natalizumab in rapidly evolving severe relapsing-remitting multiple sclerosis in the UK.

OBJECTIVE: Two disease-modifying therapies are licensed in the EU for use in rapidly-evolving severe (RES) relapsing-remitting multiple sclerosis (RRMS), fingolimod and natalizumab. Here a discrete event simulation (DES) model to analyze the cost-effectiveness of natalizumab and fingolimod in the RES population, from the perspective of the National Health Service (NHS) in the UK, is reported. METHODS: A DES model was developed to track individual RES patients, based on Expanded Disability Status Scale scores. Individual patient characteristics were taken from the RES sub-groups of the pivotal trials for fingolimod. Utility data were in line with previous models. Published costs were inflated to NHS cost year 2015. Owing to the confidential patient access scheme (PAS) discount applied to fingolimod in the UK, a range of discount levels were applied to the fingolimod list price, to capture the likelihood of natalizumab being cost-effective in a real-world setting. RESULTS: At the lower National Institute of Health and Care Excellence (NICE) threshold of £20,000/quality-adjusted life year (QALY), fingolimod only required a discount greater than 0.8% of list price to be cost-effective. At the upper threshold of £30,000/QALY employed by the NICE, fingolimod was cost-effective if the confidential discount is greater than 2.5%. Sensitivity analyses conducted using fingolimod list-price showed the model to be most sensitive to changes in the cost of each drug, particularly fingolimod. CONCLUSIONS: The DES model shows that only a modest discount to the UK fingolimod list-price is required to make fingolimod a more cost-effective option than natalizumab in RES RRMS.

The Cost-Effectiveness of Ranibizumab Treat and Extend Regimen Versus Aflibercept in the UK.

INTRODUCTION: Wet age-related macular degeneration (AMD) is a chronic eye condition that causes severe deterioration of vision and even blindness. Current wet AMD treatment in the UK involves the vascular endothelial growth factor inhibitors ranibizumab and aflibercept. Patients with wet AMD require frequent and long-term monitoring for treatment to be effective, contributing to a substantial resource burden at wet AMD centers. The European license for ranibizumab was recently updated with an individualized 'treat and extend' (T&E) regimen, comprising a structured monitoring and treatment protocol. This study evaluated the cost-effectiveness of ranibizumab T&E versus aflibercept within a UK setting. METHODS: An individual patient-level simulation model was developed utilizing treatment effects from a network meta-analysis of randomized controlled trials. The model was conducted from a UK National Health Service (NHS) perspective over a lifetime horizon and the base case utilized probabilistic sensitivity analysis to assess uncertainty in the model. Additional scenario analyses were conducted to assess the impact of changes to the model inputs. RESULTS: Ranibizumab T&E was found to be more effective and less costly than aflibercept, providing, on average, an additional 1.058 quality-adjusted life years (QALYs) and a cost-saving of £19,604 over a lifetime horizon. At list price, ranibizumab T&E was found to be cost-effective versus aflibercept in 100% of simulations at a willingness-to-pay threshold of £20,000 per QALY. The robustness of the results was tested in several scenario analyses; ranibizumab T&E was found to be more effective, and less costly, than aflibercept in the vast majority of cases. CONCLUSION: This evaluation suggests that treating patients with ranibizumab according to the T&E regimen could be a better use of NHS resources than aflibercept, and could, therefore, be considered as a first-line regimen for patients with wet AMD in the UK. FUNDING: Novartis Pharmaceuticals UK Limited.

Paucity and Inconsistency: A Systematic Review and Critique of Budget Impact Analyses of Disease-Modifying Therapies for Multiple Sclerosis in the UK and the Implications for Policy in the UK.

BACKGROUND AND OBJECTIVES: Budget impact analysis (BIA) has become an essential part of economic evaluation within health technology assessment. Several disease-modifying therapies (DMTs) are now available for the treatment of multiple sclerosis (MS). This study sought to identify the inputs and assumptions used in existing BIAs for DMTs in the UK, and the uncertainty and variation in these, to allow critique within the context of UK policy. METHODS: MEDLINE and the Economic Evaluations Database from the Cochrane Library were searched systematically on 15 December 2014 to identify BIAs of DMTs licensed for MS in the UK. In addition, the National Institute for Health and Care Excellence (NICE) and National Health Service (NHS) England websites were searched for relevant publications and grey literature searching was undertaken. Sources and assumptions from the included analyses were extracted, compared and critiqued. RESULTS: The database searches produced 115 de-duplicated results. An additional 12 results were identified from the NICE and NHS England websites. No BIAs of DMTs for MS in the UK were identified in the literature. All ten included studies were from the NICE website, comprising manufacturer submissions for each DMT and corresponding NICE costing templates. There are considerable uncertainties in the inputs and assumptions used in the BIAs, but limited sensitivity analyses were undertaken. CONCLUSIONS: Data limitations were not highlighted in the results, failing to present the uncertainty in the results to users clearly. It is to be welcomed that NICE has recently consulted on a process change to allow additional critique of the costing templates.

The prevalence of child-specific utilities in NICE appraisals for paediatric indications: rise of the economic orphans?

Children are not mini-adults, and thus require studies to be conducted in the population of interest to inform decisions about their care. The paucity of such studies for clinical efficacy lead them to be termed 'therapeutic orphans'. Following the introduction of the 'fourth hurdle' of reimbursement approval on the basis of cost-utility analysis, utility data is now a key requirement for patients to access treatments in England and many other countries. This special report considers whether a paucity of utility valuation studies in children may have made them 'economic orphans' as well and presents results of a review of NICE appraisals as a window on this problem over time.

Convergence yet Continued Complexity: A Systematic Review and Critique of Health Economic Models of Relapsing-Remitting Multiple Sclerosis in the United Kingdom.

OBJECTIVES: Several disease-modifying therapies have marketing authorizations for the treatment of relapsing-remitting multiple sclerosis (RRMS). Given their appraisal by the National Institute for Health and Care Excellence, the objective was to systematically identify and critically evaluate the structures and assumptions used in health economic models of disease-modifying therapies for RRMS in the United Kingdom. METHODS: Embase, MEDLINE, The Cochrane Library, and the National Institute for Health and Care Excellence Web site were searched systematically on March 3, 2014, to identify articles relating to health economic models in RRMS with a UK perspective. Data sources, techniques, and assumptions of the included models were extracted, compared, and critically evaluated. RESULTS: Of 386 results, 26 full texts were evaluated, leading to the inclusion of 18 articles (relating to 12 models). Early models varied considerably in method and structure, but convergence over time toward a Markov model with states based on disability score, a 1-year cycle length, and a lifetime time horizon was apparent. Recent models also allowed for disability improvement within the natural history of the condition. Considerable variety remains, with increasing numbers of comparators, the need for treatment sequencing, and different assumptions around efficacy waning and treatment withdrawal. CONCLUSIONS: Despite convergence over time to a similar Markov structure, there are still significant discrepancies between health economic models of RRMS in the United Kingdom. Differing methods, assumptions, and data sources render the comparison of model implementation and results problematic. The commonly used Markov structure leads to problems such as incapability to deal with heterogeneous populations and multiplying complexity with the addition of treatment sequences; these would best be solved by using alternative models such as discrete event simulations.

The economic burden of alcohol dependence in Europe.

AIMS: To determine the economic burden pertaining to alcohol dependence in Europe. METHODS: Database searching was combined with grey literature searching to identify costs and resource use in Europe relating to alcohol dependence as defined by the Diagnostic and Statistical Manual of Mental Disorders (DSM-IV) or the World Health Organisation's International Classification of Diseases (ICD-10). Searches combined MeSH headings for both economic terms and terms pertaining to alcohol dependence. Relevant outcomes included direct healthcare costs and indirect societal costs. Main resource use outcomes included hospitalization and drug costs. RESULTS: Compared with the number of studies of the burden of alcohol use disorders in general, relatively few focussed specifically on alcohol dependence. Twenty-two studies of variable quality were eligible for inclusion. The direct costs of alcohol dependence in Europe were substantial, the treatment costs for a single alcohol-dependent patient lying within the range €1591-€7702 per hospitalization and the annual total direct costs accounting for 0.04-0.31% of an individual country's gross domestic product (GDP). These costs were driven primarily by hospitalization; in contrast, the annual drug costs for alcohol dependence were low. The indirect costs were more substantial than the direct costs, accounting for up to 0.64% of GDP per country annually. Alcohol dependence may be more costly in terms of health costs per patient than alcohol abuse. CONCLUSIONS: This review confirms that alcohol dependence represents a significant burden for European healthcare systems and society. Difficulties in comparing across cost-of-illness studies in this disease area, however, prevent specific estimation of the economic burden.

The impact of smoking in the home on the health outcomes of non-smoker occupants in the UK.

Smoking in the home remains a key source of exposure to secondhand smoke for non-smokers, particularly since the UK public smoking ban in 2007. A systematic literature review was conducted to identify all UK evidence on the impact of secondhand smoke exposure in the home on health and behavioural outcomes in non-smoker occupants. MEDLINE, EMBASE and the Cochrane Library were searched to identify all relevant UK empirical studies from 2000 to June 2011. A qualitative overview of the evidence is presented. Exposure to secondhand smoke in UK homes was found to be associated with serious negative health effects in non-smokers, including significantly increased risk of meningococcal carriage (p < 0.001) and disease (p = 0.05) in children and adolescents, cognitive impairment (p < 0.001) in adults, a higher rate of medically attended accidents in children with smoking mothers (p < 0.01), and for non-smoking women, a significant decrease in infant birth weight (p = 0.007). Living in a smoking household significantly increased the risk of future regular smoking in children (p < 0.001). In conclusion, this systematic review has identified strong evidence of an association between secondhand smoke exposure in the home and several serious health conditions. This finding highlights the importance of educating current smokers on the consequences of non-smoker exposure to smoking in the home.