Cost-Effectiveness and Budget Impact of Future Developments With Whole-Genome Sequencing for Patients With Lung Cancer.

OBJECTIVES: This study aimed to investigate the cost-effectiveness, budget impact (BI), and impact of uncertainty of future developments concerning whole-genome sequencing (WGS) as a clinical diagnostic test compared with standard of care (SoC) in patients with locally advanced and metastatic non-small cell lung cancer. METHODS: A total of 3 likely scenarios to take place within 5 years (according to experts) were simulated using a previously developed, peer reviewed, and published decision model. The scenarios concerned "WGS results used for treatment selection" (scenario 1), "WGS-based biomarker for immunotherapy" (scenario 2), and "off-label drug approval for WGS results" (scenario 3). Two diagnostic strategies of the original model, "SoC" and "WGS as a diagnostic test" (base model), were used to compare our scenarios with. Outcomes were reported for the base model, all scenarios separately, combined (combined unweighted), and weighted by likelihood (combined weighted). Cost-effectiveness, BI, and value of information analyses were performed for WGS compared with SoC. RESULTS: Total costs and quality-adjusted life-years for SoC in metastatic non-small cell lung cancer were €149 698 and 1.235. Incremental outcomes of WGS were €1529/0.002(base model), -€222/0.020(scenario 1), -€2576/0.023(scenario 2), €388/0.024(scenario 3), -€5041/0.060(combined unweighted), and -€1715/0.029(combined weighted). The annual BI for adopting WGS for this population in The Netherlands ranged between €682 million (combined unweighted) and €714 million (base model). The consequences of uncertainty amounted to €3.4 million for all scenarios (combined weighted) and to €699 000 for the diagnostic yield of WGS alone (combined weighted). CONCLUSIONS: Our findings suggest that it is likely for WGS to become cost-effective within the near future if it identifies more patients with actionable targets and show the impact of uncertainty regarding its diagnostic yield. Modeling future scenarios can be useful to consider early adoption of WGS while timely anticipating on unforeseen developments before final conclusions are reached.

Economics and Precision Medicine.

Introducing precision medicine strategies into routine practice will require robust economic evidence. Decision-makers need to understand the value of a precision medicine strategy compared with alternative ways to treat patients. This chapter describes health economic analysis techniques that are needed to generate this evidence. The value of any precision medicine strategy can be demonstrated early to inform evidence generation and improve the likelihood of translation into routine practice. Advances in health economic analysis techniques are also explained and their relevance to precision medicine is highlighted. Ensuring that constraints on delivery are resolved to increase uptake and implementation will improve the value of a new precision medicine strategy. Empirical methods to quantify stakeholders' preferences can be effective to inform the design of a precision medicine intervention or service delivery model. A range of techniques to generate relevant economic evidence are now available to support the development and translation of precision medicine into routine practice. This economic evidence is essential to inform resource allocation decisions and will enable patients to benefit from cost-effective precision medicine strategies in the future.

CDX2 Biomarker Testing and Adjuvant Therapy for Stage II Colon Cancer: An Exploratory Cost-Effectiveness Analysis.

OBJECTIVES: Adjuvant chemotherapy is not recommended for patients with average-risk stage II (T3N0) colon cancer. Nevertheless, a subgroup of these patients who are CDX2-negative might benefit from adjuvant chemotherapy. We evaluated the cost-effectiveness of testing for the absence of CDX2 expression followed by adjuvant chemotherapy (fluorouracil combined with oxaliplatin [FOLFOX]) for patients with stage II colon cancer. METHODS: We developed a decision model to simulate a hypothetical cohort of 65-year-old patients with average-risk stage II colon cancer with 7.2% of these patients being CDX2-negative under 2 different interventions: (1) test for the absence of CDX2 expression followed by adjuvant chemotherapy for CDX2-negative patients and (2) no CDX2 testing and no adjuvant chemotherapy for any patient. We derived disease progression parameters, adjuvant chemotherapy effectiveness and utilities from published analyses, and cancer care costs from the Surveillance, Epidemiology, and End Results (SEER)-Medicare data. Sensitivity analyses were conducted. RESULTS: Testing for CDX2 followed by FOLFOX for CDX2-negative patients had an incremental cost-effectiveness ratio of $5500/quality-adjusted life-years (QALYs) compared with no CDX2 testing and no FOLFOX (6.874 vs 6.838 discounted QALYs and $89 991 vs $89 797 discounted US dollar lifetime costs). In sensitivity analyses, considering a cost-effectiveness threshold of $100 000/QALY, testing for CDX2 followed by FOLFOX on CDX2-negative patients remains cost-effective for hazard ratios of <0.975 of the effectiveness of FOLFOX in CDX2-negative patients in reducing the rate of developing a metastatic recurrence. CONCLUSIONS: Testing tumors of patients with stage II colon cancer for CDX2 and administration of adjuvant treatment to the subgroup found CDX2-negative is a cost-effective and high-value management strategy across a broad range of plausible assumptions.

Cost-effectiveness of screening tools for identifying depression in early pregnancy: a decision tree model.

BACKGROUND: Although the effectiveness of screening tools for detecting depression in pregnancy has been investigated, there is limited evidence on the cost-effectiveness. This is vital in providing full information to decision makers. This study aimed to explore the cost-effectiveness of different screening tools to identify depression in early pregnancy compared to no screening. METHODS: A decision tree was developed to model the identification and treatment pathways of depression from the first antenatal appointment to 3-months postpartum using the Whooley questions, the Edinburgh Postnatal Depression Scale (EPDS) and the Whooley questions followed by the EPDS, compared to no screening. The economic evaluation took an NHS and Personal Social Services perspective. Model parameters were taken from a combination of sources including a cross-sectional survey investigating the diagnostic accuracy of screening tools, and other published literature. Cost-effectiveness was assessed in terms of the incremental cost per quality adjusted life years (QALYs). Cost-effectiveness planes and cost-effectiveness acceptability curves were produced using a net-benefit approach based on Monte Carlo simulations of cost-outcome data. RESULTS: In a 4-way comparison, the Whooley, EPDS and Whooley followed by the EPDS each had a similar probability of being cost-effective at around 30% for willingness to pay values from £20,000-30,000 per QALY compared to around 20% for the no screen option. CONCLUSIONS: All three screening approaches tested had a higher probability of being cost-effective than the no-screen option. In the absence of a clear cost-effectiveness advantage for any one of the three screening options, the choice between the screening approaches could be made on other grounds, such as clinical burden of the screening options. Limitations include data availability and short time horizon, thus further research is needed. CLINICAL TRIALS REGISTRATION: N/A.

Which assisted reproductive technology (ART) treatment strategy is the most clinically and cost-effective for women of advanced maternal age: a Markov model.

OBJECTIVE: To evaluate the clinical and cost-effectiveness of preimplantation genetic testing for aneuploidy, social freezing, donor and autologous assisted reproductive technology (ART) treatment strategies for women aged 35-45 following 6-12 months of infertility. METHODS: Four Markov decision-analytic models comprising: (i) Preimplantation genetic testing for aneuploidy (PGT-A); (ii) autologous ART from age 40 using oocytes cryopreserved at age 32 (social freezing); (iii) ART using donated oocytes (donor ART); (iv) standard autologous ART treatment (standard care) were developed for a hypothetical cohort of 35 to 45 years old ART naïve women with 6-12 months of infertility. Input probabilities for key parameters including live birth rates were obtained from the available literature. Deterministic and probabilistic sensitivity analyses were conducted to address uncertainty in estimating the parameters and around the model's assumptions. Cost effectiveness was assessed from both societal and patient perspectives . RESULT(S): For infertile women at age 40 and above, social freezing is the most cost-saving strategy with the highest chance of a cumulative live birth at a lowest cost from a societal perspective. PGT-A and donor ART were associated with higher treatment costs and cumulative live-birth rates compared with the autologous ART. Among the four ART strategies, standard autologous ART has the lowest cumulative live birth rate of 45% at age 35 and decreasing to 1.6% by age 45 years. At a willingness-to-pay threshold of Australian dollars (A$)50,000, our model shows all alternative treatment strategies -PGT-A, social freezing and donor ART have a higher probability of being cost-effective compared to the standard autologous ART treatment. However, higher out-of-pocket expenditure may impede their access to these alternate strategies. CONCLUSION: Given current evidence, all alternate strategies have a higher probability of being cost-effective compared to the standard autologous ART treatment. Whether this represents value for money depends on societal and individual's willingness-to-pay for children conceived with ART treatment.

Cost-effectiveness of ovarian stimulation agents for IUI in couples with unexplained subfertility.

STUDY QUESTION: Which agent for ovarian stimulation (OS) is the most cost-effective option in terms of net benefit for couples with unexplained subfertility undergoing IUI? SUMMARY ANSWER: In settings where a live birth is valued at €3000 or less, between €3000 and €55 000 and above €55 000, clomiphene citrate (CC), Letrozole and gonadotrophins were the most cost-effective option in terms of net benefit, respectively. WHAT IS KNOWN ALREADY: IUI-OS is a common first-line treatment for couples with unexplained subfertility and its increased uptake over the past decades and related personal or reimbursed costs are pressing concerns to patients and health service providers. However, there is no consensus on a protocol for conducting IUI-OS, with differences between countries, clinics and settings in the number of cycles, success rates, the agent for OS and the maximum number of dominant follicles in order to minimise the risk of a multiple pregnancy. In view of this uncertainty and the association with costs, guidance is needed on the cost-effectiveness of OS agents for IUI-OS. STUDY DESIGN, SIZE, DURATION: We developed a decision-analytic model based on a decision tree that follows couples with unexplained subfertility from the start of IUI-OS to a protocoled maximum of six cycles, assuming couples receive four cycles on average within one year. We chose the societal perspective, which coincides with other perspectives such as that from health care providers, as the treatments are identical except for the stimulation agent. We based our model on parameters from a network meta-analysis of randomised controlled trials for IUI-OS. We compared the following three agents: CC (oral medication), Letrozole (oral medication) and gonadotrophins (subcutaneous injection). PARTICIPANTS/MATERIALS, SETTING, METHODS: The main health outcomes were cumulative live birth and multiple pregnancy. As the procedures are identical except for the agent used, we only considered direct medical costs of the agent during four cycles. The main cost-effectiveness measures were the differences in costs divided by the differences in cumulative live birth (incremental cost-effectiveness ratio, ICER) and the probability of the highest net monetary benefit in which costs for an agent were deducted from the live births gained. The live birth rate for IUI using CC was taken from trials adhering to strict cancellation criteria included in a network meta-analysis and extrapolated to four cycles. We took the relative risks for the live birth rate after Letrozole and gonadotrophins versus CC from that same network meta-analysis to estimate the remaining absolute live birth rates. The uncertainty around live birth rates, relative effectiveness and costs was assessed by probabilistic sensitivity analysis in which we drew values from distributions and repeated this procedure 20 000 times. In addition, we changed model assumptions to assess their influence on our results. MAIN RESULTS AND THE ROLE OF CHANCE: The agent with the lowest cumulative live birth rate over 4 IUI-OS cycles conducted within one year was CC (29.4%), followed by Letrozole (32.0%) and gonadotrophins (34.5%). The average costs per four cycles were €362, €434 and €1809, respectively. The ICER of Letrozole versus CC was €2809 per additional live birth, whereas the ICER of gonadotrophins versus Letrozole was €53 831 per additional live birth. When we assume a live birth is valued at €3000 or less, CC had the highest probability of maximally 65% to achieve the highest net benefit. Between €3000 and €55 000, Letrozole had the highest probability of maximally 62% to achieve the highest net benefit. Assuming a monetary value of €55 000 or more, gonadotrophins had the highest probability of maximally 56% to achieve the highest net benefit. LIMITATIONS, REASONS FOR CAUTION: Our model focused on population level and was thus based on average costs for the average number of four cycles conducted. We also based the model on a number of key assumptions. We changed model assumptions to assess the influence of these assumptions on our results. WIDER IMPLICATIONS OF THE FINDINGS: The high uncertainty surrounding our results indicate that more research is necessary on the relative effectiveness of using CC, Letrozole or gonadotrophins for IUI-OS in terms of the cumulative live birth rate. We suggest that in the meantime, CC or Letrozole are the preferred choice of agent. STUDY FUNDING/COMPETING INTEREST(S): This work was supported by ZonMw Doelmatigheidsonderzoek, grant 80-85200-98-91072. The funder had no role in the design, conduct or reporting of this work. BWM is supported by a NHMRC Practitioner Fellowship (GNT1082548). B.W.M. reports consultancy for ObsEva, Merck KGaA and Guerbet and travel and research support from ObsEva, Merck and Guerbet. All other authors have no conflicts of interest to declare. TRIAL REGISTRATION NUMBER: N/A.

Cost-Effectiveness of Routine Childhood Vaccination Against Seasonal Influenza in Germany.

OBJECTIVES: In Germany, routine influenza vaccination with quadrivalent influenza vaccines (QIV) is recommended and reimbursed for individuals ≥60 years of age and individuals with underlying chronic conditions. The present study examines the cost-effectiveness of a possible extension of the recommendation to include strategies of childhood vaccination against seasonal influenza using QIV. METHODS: A dynamic transmission model was used to examine the epidemiological impact of different childhood vaccination strategies. The outputs were used in a health economic decision tree to calculate the costs per quality-adjusted life year (QALY) gained from a societal and a third-party payer (TPP) perspective. Strain-specific epidemiology, vaccine uptake, and vaccine efficacy data from the 10 non-pandemic seasons from 2003/2004 to 2013/2014 were used, and cost data were drawn mainly from a health insurance claims data analysis and supplemented by estimates from literature. Uncertainty is explored via scenario, deterministic, and probabilistic sensitivity analyses. RESULTS: Vaccinating 2- to 9-year-olds with QIV assuming a vaccine uptake of 40% is cost-saving with a benefit-cost ratio of 1.66 from a societal perspective and an incremental cost-effectiveness ratio of €998/QALY from a TPP perspective. Lower and higher vaccine uptakes show marginal effects, while extending the target group to 2- to 17-year-olds further increases the health benefits while still being below the willingness-to-pay (WTP) threshold. Assuming no vaccine-induced herd protection has a negative effect on the cost-effectiveness ratio, but childhood vaccination remains cost-effective. CONCLUSION: Routine childhood vaccination against seasonal influenza in Germany is most likely to be cost-saving from a societal perspective and highly cost-effective from a TPP perspective.

Evaluating the Cost-Effectiveness of Changes to the Surveillance Intervals in the UK Abdominal Aortic Aneurysm Screening Programme.

OBJECTIVES: To investigate the safety and cost-effectiveness of lengthening the time between surveillance ultrasound scans in the UK Abdominal Aortic Aneurysm (AAA) Screening Programme. METHODS: A discrete event simulation model was used to evaluate the cost-effectiveness of AAA screening for men aged 65, comparing current surveillance intervals to 6 alternative surveillance interval strategies that lengthened the time between surveillance scans for 1 or more AAA size categories. The model considered clinical events and costs incurred over a 30-year time horizon and the cost per quality-adjusted life year (QALY). The model adopted the National Health Service perspective and discounted future costs and benefits at 3.5%. RESULTS: Compared with current practice, alternative surveillance strategies resulted in up to a 4% reduction in the number of elective AAA repairs but with an increase of up to 1.6% in the number of AAA ruptures and AAA-related deaths. Alternative strategies resulted in a small reduction in QALYs compared to current practice but with reduced costs. Two strategies that lengthened surveillance intervals in only very small AAAs (3.0-3.9 cm) provided, at a cost-effectiveness threshold of £20 000 per QALY, the highest positive incremental net benefit. There was negligible chance that current practice is the most cost-effective strategy at any threshold below £40 000 per QALY. CONCLUSIONS: Lengthening surveillance intervals in the UK Abdominal Aortic Aneurysm Screening Programme, especially for small AAA, can marginally reduce the incremental cost per QALY of the program. Nevertheless, whether the cost savings from refining surveillance strategies justifies a change in clinical practice is unclear.

Clinical Benefit, Harm, and Cost Effectiveness of Screening Men for Peripheral Artery Disease: A Markov Model Based on the VIVA Trial.

OBJECTIVE: Although screening for peripheral arterial disease (PAD) seems obvious due to its two to three times increased mortality, high prevalence in the elderly, ease of detection, and relatively harmless prevention, the evidence is sparse. METHODS: A Markov decision model was created to model the lifetime effectiveness and cost effectiveness of general population PAD screening and relevant intervention in 65 year old men. The model was informed by original estimates from the VIVA trial data except for ankle brachial systolic blood pressure index test accuracy, quality of life, and background mortality, which were adopted from the literature. A Markov model was designed for 65 year old men, who were distributed in the starting states of no/detected/undetected PAD. The main outcomes were life years, quality adjusted life years, and costs of healthcare. RESULTS: Screening for PAD reduced the rates of amputations and stroke by 10.9% and 2.4%, respectively, while it increased the rates of revascularisation, acute myocardial infarction, and major bleeding by 5.5%, 7.1%, and 4.3% respectively. The overall life expectancy was increased by 14 days per invited subject. The cost per life year/quality adjusted life year was estimated at €16 717/€20 673. On the addition of low dose rivaroxaban reduced the costs per life year gained by 40%. If the model ran for only five follow up years, screening reduced relative mortality by 1.71%, suggesting PAD screening accounts for one fourth of the reported overall 7% relative mortality risk reduction of combined abdominal aortic aneurysm, PAD, and hypertension screening. CONCLUSION: Screening of men for PAD is likely to be both clinically effective and cost effective in a lifetime perspective.

Cost-effectiveness of medically assisted reproduction or expectant management for unexplained subfertility: when to start treatment?

STUDY QUESTION: Over a time period of 3 years, which order of expectant management (EM), IUI with ovarian stimulation (IUI-OS) and IVF is the most cost-effective for couples with unexplained subfertility with the female age below 38 years? SUMMARY ANSWER: If a live birth is considered worth €32 000 or less, 2 years of EM followed by IVF was the most cost-effective, whereas above €32 000 this was 1 year of EM, 1 year of IUI-OS and then 1 year of IVF. WHAT IS KNOWN ALREADY: IUI-OS and IVF are commonly used fertility treatments for unexplained subfertility although many couples can conceive naturally, as no identifiable barrier to conception could be found by definition. Few countries have guidelines on when to proceed with medically assisted reproduction (MAR), mostly based on the expected probability of live birth after treatment, but there is a lack of evidence to support the strategies proposed by these guidelines. The increased uptake of IUI-OS and IVF over the past decades and costs related to reimbursement of these treatments are pressing concerns to health service providers. For MAR to remain affordable, sustainable and a responsible use of public funds, guidance is needed on the cost-effectiveness of treatment strategies for unexplained subfertility, including EM. STUDY DESIGN, SIZE, DURATION: We developed a decision analytic Markov model that follows couples with unexplained subfertility of which the woman is under 38 years of age for a time period of 3 years from completion of the fertility workup onwards. We divided the time axis of 3 years into three separate periods, each comprising 1 year. The model was based on contemporary evidence, most notably the dynamic prediction model for natural conception, which was combined with MAR treatment effects from a network meta-analysis on randomized controlled trials. We changed the order of options for managing unexplained subfertility for the 1 year periods to yield five different treatment policies in total: IVF-EM-EM (immediate IVF), EM-IVF-EM (delayed IVF), EM-EM-IVF (postponed IVF), IUIOS-IVF-EM (immediate IUI-OS) and EM-IUIOS-IVF (delayed IUI-OS). PARTICIPANTS/MATERIALS, SETTING, METHODS: The main outcomes per policy over the 3-year period were the probability of live birth, the average treatment and delivery costs, the probability of multiple pregnancy, the incremental cost-effectiveness ratio (ICER) and finally, which policy yields the highest net benefit in which costs for a policy were deducted from the health effects, i.e. live births gained. We chose the Dutch societal perspective, but the model can be easily modified for other locations or other perspectives. The probability of live birth after EM was taken from the dynamic prediction model for natural conception and updated for Years 2 and 3. The relative effects of IUI-OS and IVF in terms of odds ratios, taken from the network meta-analysis, were applied to the probability of live birth after EM. We applied standard discounting procedures for economic analyses for Years 2 and 3. The uncertainty around effectiveness, costs and other parameters was assessed by probabilistic sensitivity analysis in which we drew values from distributions and repeated this procedure 20 000 times. In addition, we changed model assumptions to assess their influence on our results. MAIN RESULTS AND THE ROLE OF CHANCE: From IVF-EM-EM to EM-IUIOS-IVF, the probability of live birth varied from approximately 54-64% and the average costs from approximately €4000 to €9000. The policies IVF-EM-EM and EM-IVF-EM were dominated by EM-EM-IVF as the latter yielded a higher cumulative probability of live birth at a lower cost. The policy IUIOS-IVF-EM was dominated by EM-IUIOS-IVF as the latter yielded a higher cumulative probability of live birth at a lower cost. After removal of policies that were dominated, the ICER for EM-IUIOS-IVF was approximately €31 000 compared to EM-EM-IVF. The range of ICER values between the lowest 25% and highest 75% of simulation replications was broad. The net benefit curve showed that when we assume a live birth to be worth approximately €20 000 or less, the policy EM-EM-IVF had the highest probability to achieve the highest net benefit. Between €20 000 and €50 000 monetary value per live birth, it was uncertain whether EM-EM-IVF was better than EM-IUIOS-IVF, with the turning point of €32 000. When we assume a monetary value per live birth over €50 000, the policy with the highest probability to achieve the highest net benefit was EM-IUIOS-IVF. Results for subgroups with different baseline prognoses showed the same policies dominated and the same two policies that were the most likely to achieve the highest net benefit but at different threshold values for the assumed monetary value per live birth. LIMITATIONS, REASONS FOR CAUTION: Our model focused on population level and was thus based on average costs for the average number of cycles conducted. We also based the model on a number of key assumptions. We changed model assumptions to assess the influence of these assumptions on our results. The change in relative effectiveness of IVF over time was found to be highly influential on results and their interpretation. WIDER IMPLICATIONS OF THE FINDINGS: EM-EM-IVF and EM-IUIOS-IVF followed by IVF were the most cost-effective policies. The choice depends on the monetary value assigned to a live birth. The results of our study can be used in discussions between clinicians, couples and policy makers to decide on a sustainable treatment protocol based on the probability of live birth, the costs and the limitations of MAR treatment. STUDY FUNDING/COMPETING INTEREST(S): This work was supported by the ZonMw Doelmatigheidsonderzoek (80-85200-98-91072). The funder had no role in the design, conduct or reporting of this work. B.W.M. is supported by a NHMRC Practitioner Fellowship (GNT1082548). B.W.M. reports consultancy for ObsEva, Merck KGaA and Guerbet and travel and research support from ObsEva, Merck and Guerbet. TRIAL REGISTRATION NUMBER: N/A.

Cost-Effectiveness of Different Formats for Delivery of Cognitive Behavioral Therapy for Depression: A Systematic Review Based Economic Model.

OBJECTIVES: Cognitive behavioral therapy (CBT) is an effective treatment for depression. Different CBT delivery formats (face-to-face [F2F], multimedia, and hybrid) and intensities have been used to expand access to the treatment. The aim of this study is to estimate the long-term cost-effectiveness of different CBT delivery modes. METHODS: A decision-analytic model was developed to evaluate the cost-effectiveness of different CBT delivery modes and variations in intensity in comparison with treatment as usual (TAU). The model covered an average treatment period of 4 months with a 5-year follow-up period. The model was populated using a systematic review of randomized controlled trials and various sources from the literature. RESULTS: Incremental cost-effectiveness ratios of treatments compared with the next best option after excluding all the dominated and extended dominated options are: £209/quality-adjusted life year (QALY) for 6 (sessions) × 30 (minutes) F2F-CBT versus TAU; £4 453/QALY for 8 × 30 F2F versus 6 × 30 F2F; £12 216/QALY for 8 × 60 F2F versus 8 × 30 F2F; and £43 072/QALY for 16 × 60 F2F versus 8 × 60 F2F. The treatment with the highest net monetary benefit for thresholds of £20 000 to £30 000/QALY was 8 × 30 F2F-CBT. Probabilistic sensitivity analysis illustrated 6 × 30 F2F-CBT had the highest probability (32.8%) of being cost-effective at £20 000/QALY; 16 × 60 F2F-CBT had the highest probability (31.0%) at £30 000/QALY. CONCLUSIONS: All CBT delivery modes on top of TAU were found to be more cost-effective than TAU alone. Four F2F-CBT options (6 × 30, 8 × 30, 8 × 60, 16 × 60) are on the cost-effectiveness frontier. F2F-CBT with intensities of 6 × 30 and 16 × 60 had the highest probabilities of being cost-effective. The results, however, should be interpreted with caution owing to the high level of uncertainty.

Incorporating ex-vivo lung perfusion into the UK adult lung transplant service: an economic evaluation and decision analytic model.

BACKGROUND: An estimated 20-30% of end-stage lung disease patients awaiting lung transplant die whilst on the waiting list due to a shortage of suitable donor lungs. Ex-Vivo Lung Perfusion is a technique that reconditions donor lungs initially not deemed usable in order to make them suitable for transplantation, thereby increasing the donor pool. In this study, an economic evaluation was conducted as part of DEVELOP-UK, a multi-centre study assessing the clinical and cost-effectiveness of the Ex-Vivo Lung Perfusion technique in the United Kingdom. METHODS: We estimated the cost-effectiveness of a UK adult lung transplant service combining both standard and Ex-Vivo Lung Perfusion transplants compared to a service including only standard lung transplants. A Markov model was developed and populated with a combination of DEVELOP-UK, published and clinical routine data, and extrapolated to a lifetime horizon. Probabilistic sensitivity and scenario analyses were used to explore uncertainty in the final outcomes. RESULTS: Base-case model results estimated life years gained of 0.040, quality-adjusted life-years (QALYs) gained of 0.045 and an incremental cost per QALY of £90,000 for Ex-Vivo Lung Perfusion. Scenario analyses carried out suggest that an improved rate of converting unusable donor lungs using Ex-Vivo Lung Perfusion, similar resource use post-transplant for both standard and EVLP lung transplant and applying increased waiting list costs would reduce ICERs to approximately £30,000 or below. CONCLUSION: DEVELOP-UK base-case results suggest that incorporating Ex-Vivo Lung Perfusion into the UK adult lung transplant service is more effective, increasing the number of donor lungs available for transplant, but would not currently be considered cost-effective in the UK using the present NICE threshold. However, results were sensitive to change in some model parameters and in several plausible scenario analyses results indicate that a service incorporating Ex-vivo lung perfusion would be considered cost-effective . TRIAL REGISTRATION: ISRCTN registry number: ISRCTN44922411 . Date of registration: 06/02/2012. Retrospectively registered.

Where are we at with model-based economic evaluations of interventions for dementia? a systematic review and quality assessment.

ABSTRACTObjective:To identify, review, and critically appraise model-based economic evaluations of all types of interventions for people with dementia and their carers. DESIGN: A systematic literature search was undertaken to identify model-based evaluations of dementia interventions. A critical appraisal of included studies was carried out using guidance on good practice methods for decision-analytic models in health technology assessment, with a focus on model structure, data, and model consistency. SETTING: Interventions for people with dementia and their carers, across prevention, diagnostic, treatment, and disease management. RESULTS: We identified 67 studies, with 43 evaluating pharmacological products, 19 covering prevention or diagnostic strategies, and 5 studies reporting non-pharmacological interventions. The majority of studies use Markov models with a simple structure to represent dementia symptoms and disease progression. Half of all studies reported taking a societal perspective, with the other half adopting a third-party payer perspective. Most studies follow good practices in modeling, particularly related to the decision problem description, perspective, model structure, and data inputs. Many studies perform poorly in areas related to the reporting of pre-modeling analyses, justifying data inputs, evaluating data quality, considering alternative modeling options, validating models, and assessing uncertainty. CONCLUSIONS: There is a growing literature on the model-based evaluations of interventions for dementia. The literature predominantly reports on pharmaceutical interventions for Alzheimer's disease, but there is a growing literature for dementia prevention and non-pharmacological interventions. Our findings demonstrate that decision-makers need to critically appraise and understand the model-based evaluations and their limitations to ensure they are used, interpreted, and applied appropriately.

Trade-offs Between Efficacy and Cardiac Toxicity of Adjuvant Chemotherapy in Early-Stage Breast Cancer Patients: Do Competing Risks Matter?

Evidence about treatment efficacy and long-term toxicities for adjuvant chemotherapy in patients with early-stage breast cancer is often presented in different formats and studies. This leads to challenges for patients and their physicians to adequately weigh the trade-offs between effectiveness and long-term cardiac toxicity when making decisions about adjuvant chemotherapy. We used a decision-analytic framework to quantify these trade-offs by combining the available evidence into a single, comparable metric. We developed a Markov model to simulate a hypothetical cohort of newly diagnosed breast cancer patients under three scenarios: no treatment, anthracycline (AC)-based adjuvant chemotherapy (more effective but also more cardiotoxic), and non-AC-based adjuvant chemotherapy. We derived the model parameters from medical literature (e.g., clinical trials). Our primary outcome is 10-year mortality, and other metrics such as cause of death; life years (LYs) and quality-adjusted LYs over 10 years were evaluated in sensitivity analysis. For 55-year-old women with a 10-year risk of metastatic recurrence <12.5% no chemotherapy resulted in the preferred strategy. In general, non-AC-based adjuvant chemotherapy resulted in lower 10-year mortality than AC-based chemotherapy. Patients with low risk of metastatic recurrence are better off without adjuvant chemotherapy regardless of the outcome considered (i.e., the risks of cardiac toxicity from chemotherapy outweighed the benefits). Trade-offs between effectiveness and induced cardiac toxicity impact health outcomes. The choice of adjuvant treatment must consider the patient's risk of distant recurrence and the quality of life associated with different health outcomes.

ITI choice for the optimal management of inhibitor patients - from a clinical and pharmacoeconomic perspective.

The development of alloantibody inhibitors against factor VIII (FVIII) represents the most significant complication of haemophilia care. Inhibitors tend to develop early in the course of treatment in about 20-30% of patients with severe haemophilia who receive on-demand or prophylactic FVIII therapy. Many factors are associated with inhibitor formation, including disease severity, major FVIII gene defects, family history and non-Caucasian race, as well as age at first treatment, intensity of early treatment, use of prophylaxis and product choice. As these latter treatment-related variables are modifiable, they provide opportunity to minimize inhibitor incidence at the clinical level. Data from the Bonn Centre in Germany have indicated an overall success rate of 78% for immune tolerance induction (ITI) therapy, with a failure rate of 15% and with some treatments either ongoing (3%) or withdrawn (4%). Similarly, data from the G-ITI study, the largest international multicentre ITI study using a single plasma-derived (pd) FVIII/von Willebrand factor (VWF) product, have demonstrated success rates (complete and partial) in primary and rescue ITI of 87% and 74%, respectively, with 85% of poor prognosis patients achieving success. Favourable clinical results based on success rates and time to tolerization continue to be reported for use of pdFVIII/VWF in ITI, with pdFVIII/VWF having a particular role in patients who require rescue ITI and those with a poor prognosis for success. Data from prospective, randomized, controlled clinical studies, such as RES.I.ST (Rescue Immune Tolerance Study), are eagerly awaited. Another factor to consider with ITI therapy is cost; preliminary data from an updated decision analytic model have provided early evidence that ITI has an economic advantage compared with on-demand or prophylactic therapy.

Optimizing the position and use of omalizumab for severe persistent allergic asthma using cost-effectiveness analysis.

BACKGROUND: There has been some controversy on whether the costs of omalizumab outweigh its benefits for severe persistent allergic asthma. OBJECTIVES: This study aimed to resolve the uncertainties and limitations of previous analyses and establish the cost-effectiveness of omalizumab under the list price and Patient Access Scheme (PAS) discounted price for the UK National Health Service. METHODS: A decision-analytic model was developed to evaluate the long-term cost-effectiveness of omalizumab under the perspective of the National Health Service. Outcomes were expressed as quality-adjusted life-years (QALYs). Patient subgroups were defined post hoc on the basis of data collected in clinical trials: previous hospitalization, on maintenance oral corticosteroids, and three or more previous exacerbations. RESULTS: The incremental cost-effectiveness ratio varied from £30,109 to £57,557 per QALY gained depending on the population considered using the PAS price; incremental cost-effectiveness ratios were over a third higher using the list price. Omalizumab is likely to be cost-effective at the threshold of £30,000 per QALY gained in the severe subgroups if the improvement in health-related quality of life from omalizumab is mapped from an asthma-specific measure to the EuroQol five-dimensional questionnaire (vs. the EuroQol five-dimensional questionnaire directly collected from patients) or asthma mortality refers to death after hospitalization from asthma (vs. asthma-mortality risk in the community). CONCLUSIONS: Although the cost-effectiveness of omalizumab is more favorable under the PAS price, it represents good value for money only in severe subgroups and under optimistic assumptions regarding asthma mortality and improvement in health-related quality of life. For these reasons, omalizumab should be carefully targeted to ensure value for money.

Long-term medical costs and life expectancy of acute myeloid leukemia: a probabilistic decision model.

BACKGROUND: Acute myeloid leukemia (AML) can be diagnosed at any age and treatment, which can be given with supportive and/or curative intent, is considered expensive compared with that for other cancers. Despite this, no long-term predictive models have been developed for AML, mainly because of the complexities associated with this disease. OBJECTIVE: The objective of the current study was to develop a model (based on a UK cohort) to predict cost and life expectancy at a population level. METHODS: The model developed in this study combined a decision tree with several Markov models to reflect the complexity of the prognostic factors and treatments of AML. The model was simulated with a cycle length of 1 month for a time period of 5 years and further simulated until age 100 years or death. Results were compared for two age groups and five different initial treatment intents and responses. Transition probabilities, life expectancies, and costs were derived from a UK population-based specialist registry-the Haematological Malignancy Research Network (www.hmrn.org). RESULTS: Overall, expected 5-year medical costs and life expectancy ranged from £8,170 to £81,636 and 3.03 to 34.74 months, respectively. The economic and health outcomes varied with initial treatment intent, age at diagnosis, trial participation, and study time horizon. The model was validated by using face, internal, and external validation methods. The results show that the model captured more than 90% of the empirical costs, and it demonstrated good fit with the empirical overall survival. CONCLUSIONS: Costs and life expectancy of AML varied with patient characteristics and initial treatment intent. The robust AML model developed in this study could be used to evaluate new diagnostic tools/treatments, as well as enable policy makers to make informed decisions.

Dynamic medication adherence modeling in primary prevention of cardiovascular disease: a Markov microsimulation methods application.

BACKGROUND: Real-world patients' medication adherence is lower than that of clinical trial patients. Hence, the effectiveness of medications in routine practice may differ. OBJECTIVES: The study objective was to compare the outcomes of an adherence-naive versus a dynamic adherence modeling framework using the case of statins for the primary prevention of cardiovascular (CV) disease. METHODS: Statin adherence was categorized into three state-transition groups on the basis of an epidemiological cohort study. Yearly adherence transitions were incorporated into a Markov microsimulation using TreeAge software. Tracker variables were used to store adherence transitions, which were used to adjust probabilities of CV events over the patient's lifetime. Microsimulation loops "random walks" estimated the average accrued quality-adjusted life-years (QALYs) and CV events. For each 1,000-patient microsimulations, 10,000 outer loops were performed to reflect second-order uncertainty. RESULTS: The adherence-naive model estimated 0.14 CV events avoided per person, whereas the dynamic adherence model estimated 0.08 CV events avoided per person. Using the adherence-naive model, we found that statin therapy resulted in 0.40 QALYs gained over the lifetime horizon on average per person while the dynamic adherence model estimated 0.22 incremental QALYs gained. Subgroup analysis revealed that maintaining high adherence in year 2 resulted in 0.23 incremental QALYs gained as compared with 0.16 incremental QALYs gained when adherence dropped to the lowest level. CONCLUSIONS: A dynamic adherence Markov microsimulation model reveals risk reduction and effectiveness that are lower than with an adherence-naive model, and reflective of real-world practice. Such a model may highlight the value of improving or maintaining good adherence.

Diagnosing Alzheimer's disease: a systematic review of economic evaluations.

BACKGROUND: The objective of this study is to systematically review the literature on economic evaluations of interventions for the early diagnosis of Alzheimer's disease (AD) and related disorders and to describe their general and methodological characteristics. We focused on the diagnostic aspects of the decision models to assess the applicability of existing decision models for the evaluation of the recently revised diagnostic research criteria for AD. METHODS: PubMed and the National Institute for Health Research Economic Evaluation database were searched for English-language publications related to economic evaluations on diagnostic technologies. Trial-based economic evaluations were assessed using the Consensus on Health Economic Criteria list. Modeling studies were assessed using the framework for quality assessment of decision-analytic models. RESULTS: The search retrieved 2109 items, from which eight decision-analytic modeling studies and one trial-based economic evaluation met all eligibility criteria. CONCLUSIONS: Diversity among the study objective and characteristics was considerable and, despite considerable methodological quality, several flaws were indicated. Recommendations were focused on diagnostic aspects and the applicability of existing models for the evaluation of recently revised diagnostic research criteria for AD.

The Benefits and Harms of Lung Cancer Screening in Individuals With Comorbidities.

Introduction: Individuals with a history of smoking and a high risk of lung cancer often have a high prevalence of smoking-related comorbidities. The presence of these comorbidities might alter the benefit-to-harm ratio of lung cancer screening by influencing the risk of complications, quality of life, and competing risks of death. Nevertheless, individuals with chronic diseases are underrepresented in screening clinical trials. In this study, we use microsimulation modeling to determine the impact of chronic diseases on lung cancer benefits and harms. Methods: We extended a validated lung cancer screening microsimulation model that comprehensively recapitulates an individual's lung cancer development, progression, detection, follow-up, treatment, and survival. We parameterized the model to reflect the impact of chronic diseases on complications from invasive testing, quality of life, and mortality in individuals in five-year age categories between the ages of 50 and 80 years. Outcomes included life-years (LY) gained per 100,000 in patients with chronic obstructive pulmonary disease, diabetes mellitus, heart disease, and history of stroke compared with screening-eligible individuals without comorbidities. Results: Among individuals between the ages of 50 and 54 years, we found that the presence of a comorbidity altered the LY gained from screening per 100,000 individuals depending on the comorbidity: 4296 LY with no comorbidities; 3462 LY, 3260 LY, 3031 LY, and 3257 LY with chronic obstructive pulmonary disease, heart disease, diabetes mellitus, and stroke, respectively. We observed greater reductions in LY gained in individuals with two comorbidities; we observed similar patterns for individuals between the ages of 55 and 59 years, 60 and 64 years, 65 and 69 years, 70 and 74 years, and 75 and 80 years. Conclusions: Comorbidities reduce LY gained from screening per 100,000 compared with no comorbidities, and our results can be used by clinicians when discussing the benefits and harms of screening in their patients with comorbidities.