Impact of including productivity costs in economic analyses of vaccines for C. difficile infections and infant respiratory syncytial virus, in a UK setting.

OBJECTIVES: It has been estimated that vaccines can accrue a relatively large part of their value from patient and carer productivity. Yet, productivity value is not commonly or consistently considered in health economic evaluations of vaccines in several high-income countries. To contribute to a better understanding of the potential impact of including productivity value on the expected cost-effectiveness of vaccination, we illustrate the extent to which the incremental costs would change with and without productivity value incorporated. METHODS: For two vaccines currently under development, one against Cloistridioides difficile (C. difficile) infection and one against respiratory syncytial disease (RSV), we estimated their incremental costs with and without productivity value included and compared the results. RESULTS: In this analysis, reflecting a UK context, a C. difficile vaccination programme would prevent £12.3 in productivity costs for every person vaccinated. An RSV vaccination programme would prevent £49 in productivity costs for every vaccinated person. CONCLUSIONS: Considering productivity costs in future cost-effectiveness analyses of vaccines for C. difficile and RSV will contribute to better-informed reimbursement decisions from a societal perspective.

Cost-Effectiveness of Reduced-Intensity Allogeneic Hematopoietic Cell Transplantation for Older Patients With High-Risk Myelodysplastic Syndrome: Analysis of BMT CTN 1102.

PURPOSE: BMT CTN 1102 was a phase III trial comparing reduced-intensity allogeneic hematopoietic cell transplantation (RIC alloHCT) to standard of care for persons with intermediate- or high-risk myelodysplastic syndrome (MDS). We report results of a cost-effectiveness analysis conducted alongside the clinical trial. METHODS: Three hundred eighty-four patients received HCT (n = 260) or standard of care (n = 124) according to availability of a human leukocyte antigen-matched donor. Cost-effectiveness was calculated from US commercial and Medicare perspectives over a 20-year time horizon. Health care utilization and costs were estimated using propensity score-matched cohorts of HCT recipients in the OptumLabs Data Warehouse (age 50-64 years) and Medicare (age 65 years and older). EuroQol 5 Dimension (EQ-5D) surveys of trial participants were used to derive health state utilities. RESULTS: Extrapolated 20-year overall survival for those age 50-64 years was 29% for HCT (n = 105) versus 13% for usual care (n = 44) and 31% for HCT (n = 155) versus 12% for non-HCT (n = 80) for those age 65 years and older. HCT was more effective (+2.36 quality-adjusted life-years [QALYs] for age 50-64 years and +2.92 QALYs for age 65 years and older) and more costly (+$452,242 in US dollars (USD) for age 50-64 years and +$233,214 USD for age 65 years and older) than usual care, with incremental cost-effectiveness ratios of $191,487 (USD)/QALY and $79,834 (USD)/QALY, respectively. For persons age 50-64 years, there was a 29% chance that HCT was cost-effective using a willingness-to-pay (WTP) threshold of $150K (USD)/QALY and 51% at a $200K (USD)/QALY. For persons age 65 years and older, the probability was 100% at a WTP >$150K (USD)/QALY. CONCLUSION: Among patients age 65 years and older with high-risk MDS, RIC HCT is a high-value strategy. For those age 50-64 years, HCT is a lower-value strategy but has similar cost-effectiveness to other therapies commonly used in oncology.

Cost-Effectiveness of Unrelated Umbilical Cord Blood Transplantation versus HLA-Haploidentical Related Bone Marrow Transplantation: Evidence from BMT CTN 1101.

BMT CTN 1101 was a Phase III randomized controlled trial comparing reduced-intensity conditioning followed by double unrelated umbilical cord blood transplantation (UCBT) versus HLA-haploidentical related donor bone marrow transplantation (haplo-BMT) for patients with high-risk hematologic malignancies. Here we report the results of a parallel cost-effectiveness analysis of these 2 hematopoietic stem cell transplantation (HCT) techniques. In this study, 368 patients were randomized to unrelated UCBT (n = 186) or haplo-BMT (n = 182). We estimated healthcare utilization and costs using propensity score-matched haplo-BMT recipients from the OptumLabs Data Warehouse for trial participants age <65 years and Medicare claims for participants age ≥65 years. Weibull models were used to estimate 20-year survival. EQ-5D surveys by trial participants were used to estimate quality-adjusted life-years (QALYs). At a 5-year follow-up, survival was 42% for haplo-BMT recipients versus 36% for UCBT recipients (P = .06). Over a 20-year time horizon, haplo-BMT is expected to be more effective (+.63 QALY) and more costly (+$118,953) for persons age <65 years. For those age ≥65 years, haplo-BMT is expected to be more effective and less costly. In one-way uncertainty analyses, for persons age <65, the cost per QALY result was most sensitive to life-years and health state utilities, whereas for those age ≥65, life- years were more influential than costs and health state utilities. Compared to UCBT, haplo-BMT was moderately more cost-effective for patients age <65 years and less costly and more effective for persons age ≥65 years. Haplo-BMT is a fair value choice for commercially insured patients with high-risk leukemia and lymphoma who require HCT. For Medicare enrollees, haplo-BMT is a preferred choice when considering costs and outcomes.

Cost-Effectiveness Analysis of a Procalcitonin-Guided Decision Algorithm for Antibiotic Stewardship Using Real-World U.S. Hospital Data.

Medical decision-making is revolutionizing with the introduction of artificial intelligence and machine learning. Yet, traditional algorithms using biomarkers to optimize drug treatment continue to be important and necessary. In this context, early diagnosis and rational antimicrobial therapy of sepsis and lower respiratory tract infections (LRTI) are vital to prevent morbidity and mortality. In this study we report an original cost-effectiveness analysis (CEA) of using a procalcitonin (PCT)-based decision algorithm to guide antibiotic prescription for hospitalized sepsis and LRTI patients versus standard care. We conducted a CEA using a decision-tree model before and after the implementation of PCT-guided antibiotic stewardship (ABS) using real-world U.S. hospital-specific data. The CEA included societal and hospital perspectives with the time horizon covering the length of hospital stay. The main outcomes were average total costs per patient, and numbers of patients with Clostridium difficile and antibiotic resistance (ABR) infections. We found that health care with the PCT decision algorithm for hospitalized sepsis and LRTI patients resulted in shorter length of stay, reduced antibiotic use, fewer mechanical ventilation days, and lower numbers of patients with C. difficile and ABR infections. The PCT-guided health care resulted in cost savings of $25,611 (49% reduction from standard care) for sepsis and $3630 (23% reduction) for LRTI, on average per patient. In conclusion, the PCT decision algorithm for ABS in sepsis and LRTI might offer cost savings in comparison with standard care in a U.S. hospital context. To the best of our knowledge, this is the first health economic analysis on PCT implementation using U.S. real-world data. We suggest that future CEA studies in other U.S. and worldwide settings are warranted in the current age when PCT and other decision algorithms are increasingly deployed in precision therapeutics and evidence-based medicine.

Cost-Effectiveness Analysis of Adjuvant Neratinib Following Trastuzumab in Early-Stage HER2-Positive Breast Cancer.

BACKGROUND: Disease-free survival (DFS) in early-stage human epidermal growth factor receptor 2 (HER2)-positive breast cancer is significantly greater with the addition of neratinib after adjuvant trastuzumab versus no additional therapy. However, it remains uncertain whether these survival gains represent good value for the money, given the substantial cost of neratinib. OBJECTIVE: To evaluate clinical and economic implications of adding neratinib after adjuvant trastuzumab based on results from the phase III ExteNET trial. METHODS: A 3-state Markov model was developed to estimate the cost-effectiveness of neratinib for women with early-stage (I-III) HER2-positive breast cancer. Five-year recurrence rates were derived from the ExteNET trial. Mortality and recurrence rates after 5 years were derived from the HERceptin Adjuvant (HERA) trial. Outcomes included life-years, quality-adjusted life-years (QALYs), and direct medical expenditures. The analysis was performed from a payer perspective over a lifetime horizon. One-way sensitivity and probabilistic analyses were conducted to evaluate uncertainty. RESULTS: Total cost of neratinib following adjuvant trastuzumab was $317,619 versus $152,812 for adjuvant trastuzumab alone. A gain of 0.4 QALYs (15.7 vs. 15.3) and 0.1 years of projected life expectancy (18.3 vs. 18.2) favored neratinib after trastuzumab versus trastuzumab alone. The neratinib cost per QALY gained was $416,106. At standard willingness-to-pay thresholds of $50,000, $100,000, and $200,000 per QALY gained, neratinib has a probability of 2.8%, 16.7%, and 33.9% of cost-effectiveness, respectively. The cost per QALY gained in a scenario analysis only including patients with hormone-receptor positive disease was $275,311. CONCLUSIONS: Based on 5-year data from ExteNET, neratinib following adjuvant trastuzumab is not projected to be cost-effective, even among those patients shown to derive the greatest clinical benefit. Future analyses should reassess the cost-effectiveness associated with neratinib treatment as trial data mature. DISCLOSURES: No outside funding supported this study. Roth reports consulting fees from Genentech. Steuten reports grants from AstraZeneca, EMD Serono, and Genomic Health, along with personal fees from Agendia, unrelated to this study. The other authors have no conflicts of interest in connection with this study.

Cost effectiveness analysis of direct oral anticoagulant (DOAC) versus dalteparin for the treatment of cancer associated thrombosis (CAT) in the United States.

INTRODUCTION: While trials have demonstrated non-inferiority of direct oral anticoagulant drugs (DOAC) to low-molecular-weight heparins (LMWH) for the treatment of cancer associated thrombosis (CAT), it is unclear if the newer intervention is cost-effective. METHODS: We performed a cost-utility analysis using a Markov state-transition model over a time horizon of 60 months in a hypothetical cohort of 65-year-old patients with active malignancy and first acute symptomatic CAT who were eligible to receive either rivaroxaban/edoxaban or dalteparin. We obtained transition probability, relative risk, cost, and utility inputs from the literature. We estimated the differential impact on costs and quality-adjusted life years (QALYs) per patient and performed one-way and probabilistic sensitivity analyses to test the robustness of results. RESULTS: Using the base-case analysis over 60 months, DOAC versus dalteparin was associated with an incremental cost reduction of $24,129 with an incremental QALY reduction of 0.04. In the one-way sensitivity analysis, the cost of dalteparin contributed the most to the incremental cost difference; relative risk of death related to underlying cancer contributed the most of the incremental QALY difference. The probabilistic sensitivity analysis confirmed the base-case analysis, with a large reduction in cost but small reduction in QALYs. CONCLUSION: Rivaroxaban or edoxaban as compared to dalteparin is cost saving from a payer's perspective for the treatment of CAT. Professional organizations and healthcare systems may want to consider this analysis in future practice recommendations.

The cost impact of PCT-guided antibiotic stewardship versus usual care for hospitalised patients with suspected sepsis or lower respiratory tract infections in the US: A health economic model analysis.

BACKGROUND: Procalcitonin is a biomarker that supports clinical decision-making on when to initiate and discontinue antibiotic therapy. Several cost (-effectiveness) analyses have been conducted on Procalcitonin-guided antibiotic stewardship, but none mainly based on US originated data. OBJECTIVE: To compare effectiveness and costs of a Procalcitonin-algorithm versus standard care to guide antibiotic prescription for patients hospitalized with a diagnosis of suspected sepsis or lower respiratory tract infection in the US. METHODS: A previously published health economic decision model was used to compare the costs and effects of Procalcitonin-guided care. The analysis considered the societal and hospital perspective with a time horizon covering the length of hospital stay. The main outcomes were total costs per patient, including treatment costs and productivity losses, the number of patients with antibiotic resistance or C.difficile infections, and costs per antibiotic day avoided. RESULTS: Procalcitonin -guided care for hospitalized patients with suspected sepsis and lower respiratory tract infection is associated with a reduction in antibiotic days, a shorter length of stay on the regular ward and the intensive care unit, shorter duration of mechanical ventilation, and fewer patients at risk for antibiotic resistant or C.difficile infection. Total costs in the Procalcitonin-group compared to standard care were reduced by 26.0% in sepsis and 17.7% in lower respiratory tract infection (total incremental costs of -$11,311 per patient and -$2,867 per patient respectively). CONCLUSIONS: Using a Procalcitonin-algorithm to guide antibiotic use in sepsis and hospitalised lower respiratory tract infection patients is expected to generate cost-savings to the hospital and lower rates of antibiotic resistance and C.difficile infections.

Effect of a Low vs Intermediate Tidal Volume Strategy on Ventilator-Free Days in Intensive Care Unit Patients Without ARDS: A Randomized Clinical Trial.

Importance: It remains uncertain whether invasive ventilation should use low tidal volumes in critically ill patients without acute respiratory distress syndrome (ARDS). Objective: To determine whether a low tidal volume ventilation strategy is more effective than an intermediate tidal volume strategy. Design, Setting, and Participants: A randomized clinical trial, conducted from September 1, 2014, through August 20, 2017, including patients without ARDS expected to not be extubated within 24 hours after start of ventilation from 6 intensive care units in the Netherlands. Interventions: Invasive ventilation using low tidal volumes (n = 477) or intermediate tidal volumes (n = 484). Main Outcomes and Measures: The primary outcome was the number of ventilator-free days and alive at day 28. Secondary outcomes included length of ICU and hospital stay; ICU, hospital, and 28- and 90-day mortality; and development of ARDS, pneumonia, severe atelectasis, or pneumothorax. Results: In total, 961 patients (65% male), with a median age of 68 years (interquartile range [IQR], 59-76), were enrolled. At day 28, 475 patients in the low tidal volume group had a median of 21 ventilator-free days (IQR, 0-26), and 480 patients in the intermediate tidal volume group had a median of 21 ventilator-free days (IQR, 0-26) (mean difference, -0.27 [95% CI, -1.74 to 1.19]; P = .71). There was no significant difference in ICU (median, 6 vs 6 days; 0.39 [-1.09 to 1.89]; P = .58) and hospital (median, 14 vs 15 days; -0.60 [-3.52 to 2.31]; P = .68) length of stay or 28-day (34.9% vs 32.1%; hazard ratio [HR], 1.12 [0.90 to 1.40]; P = .30) and 90-day (39.1% vs 37.8%; HR, 1.07 [0.87 to 1.31]; P = .54) mortality. There was no significant difference in the percentage of patients developing the following adverse events: ARDS (3.8% vs 5.0%; risk ratio [RR], 0.86 [0.59 to 1.24]; P = .38), pneumonia (4.2% vs 3.7%; RR, 1.07 [0.78 to 1.47]; P = .67), severe atelectasis (11.4% vs 11.2%; RR, 1.00 [0.81 to 1.23]; P = .94), and pneumothorax (1.8% vs 1.3%; RR, 1.16 [0.73 to 1.84]; P = .55). Conclusions and Relevance: In patients in the ICU without ARDS who were expected not to be extubated within 24 hours of randomization, a low tidal volume strategy did not result in a greater number of ventilator-free days than an intermediate tidal volume strategy. Trial Registration: ClinicalTrials.gov Identifier: NCT02153294.

Early cost-effectiveness of tumor infiltrating lymphocytes (TIL) for second line treatment in advanced melanoma: a model-based economic evaluation.

BACKGROUND: An emerging immunotherapy is infusion of tumor infiltrating Lymphocytes (TIL), with objective response rates of around 50% versus 19% for ipilimumab. As an Advanced Therapeutic Medicinal Products (ATMP), TIL is highly personalized and complex therapy. It requests substantial upfront investments from the hospital in: expensive lab-equipment, staff expertise and training, as well as extremely tight hospital logistics. Therefore, an early health economic modelling study, as part of a Coverage with Evidence Development (CED) program, was performed. METHODS: We used a Markov decision model to estimate the expected costs and outcomes (quality-adjusted life years; QALYs) for TIL versus ipilimumab for second line treatment in metastatic melanoma patients from a Dutch health care perspective over a life long time horizon. Three mutually exclusive health states (stable disease (responders)), progressive disease and death) were modelled. To inform further research prioritization, Value of Information (VOI) analysis was performed. RESULTS: TIL is expected to generate more QALYs compared to ipilimumab (0.45 versus 0.38 respectively) at lower incremental cost (presently €81,140 versus €94,705 respectively) resulting in a dominant ICER (less costly and more effective). Based on current information TIL is dominating ipilimumab and has a probability of 86% for being cost effective at a cost/QALY threshold of €80,000. The Expected Value of Perfect Information (EVPI) amounted to €3 M. CONCLUSIONS: TIL is expected to have the highest probability of being cost-effective in second line treatment for advanced melanoma compared to ipilimumab. To reduce decision uncertainty, a clinical trial investigating e.g. costs and survival seems most valuable. This is currently being undertaken as part of a CED program in the Netherlands Cancer Institute, Amsterdam, the Netherlands, in collaboration with Denmark.

Shifting breast cancer surveillance from current hospital setting to a community based setting: a cost-effectiveness study.

BACKGROUND: This study explores the effectiveness and cost-effectiveness of surveillance after breast cancer treatment provided in a hospital-setting versus surveillance embedded in the community-based National Breast Cancer Screening Program (NBCSP). METHODS: Using a decision tree, strategies were compared on effectiveness and costs from a healthcare perspective over a 5-year time horizon. Women aged 50-75 without distant metastases that underwent breast conserving surgery in 2003-2006 were selected from the Netherlands Cancer Registry (n = 14,093). Key input parameters were mammography sensitivity and specificity, risk of loco regional recurrence (LRR), and direct healthcare costs. Primary outcome measure was the proportion true test results (TTR), expressed as the positive and negative predictive value (PPV, NPV). The incremental cost-effectiveness ratio (ICER) is defined as incremental costs per TTR forgone. RESULTS: For the NBCSP-strategy, 13,534 TTR (8 positive; 13,526 negative), and 12,923 TTR (387 positive; 12,536 negative) were found for low and high risks respectively. For the hospital-based strategy, 26,663 TTR (13 positive; 26,650 negative) and 24,883 TTR (440 positive; 24,443 negative) were found for low and high risks respectively. For low risks, the PPV and NPV for the NBCSP-based strategy were 3.31% and 99.88%, and 2.74% and 99.95% for the hospital strategy respectively. For high risks, the PPV and NPV for the NBCSP-based strategy were 64.10% and 98.87%, and 50.98% and 99.71% for the hospital-based strategy respectively. Total expected costs of the NBCSP-based strategy were lower than for the hospital-based strategy (low risk: €1,271,666 NBCSP vs €2,698,302 hospital; high risk: €6,939,813 NBCSP vs €7,450,150 hospital), rendering ICERs that indicate cost savings of €109 (95%CI €95-€127) (low risk) and €43 (95%CI €39-€56) (high risk) per TTR forgone. CONCLUSION: Despite expected cost-savings of over 50% in the NBCSP-based strategy, it is nearly 50% lower accurate than the hospital-based strategy, compromising the goal of early detection of LRR to an extent that is unlikely to be acceptable.

Value of Implementation of Strategies to Increase the Adherence of Health Professionals and Cancer Survivors to Guideline-Based Physical Exercise.

BACKGROUND: To increase the adherence of health professionals and cancer survivors to evidence-based physical exercise, effective implementation strategies (ISTs) are required. OBJECTIVES: To examine to what extent these ISTs provide value for money and which IST has the highest expected value. METHODS: The net benefit framework of health economic evaluations is used to conduct a value-of-implementation analysis of nine ISTs. Seven are directed to health professionals and two to cancer survivors. The analysis consists of four steps: 1) analyzing the expected value of perfect implementation (EVPIM); 2) assessing the estimated costs of the various ISTs; 3) comparing the ISTs' costs with the EVPIM; and 4) assessing the total net benefit (TNB) of the ISTs. These steps are followed to identify which strategy has the greatest value. RESULTS: The EVPIM for physical exercise in the Netherlands is €293 million. The total costs for the ISTs range from €34,000 for printed educational materials for professionals to €120 million for financial incentives for patients, and thus all are cost-effective. The TNB of the ISTs that are directed to professionals ranges from €5.7 million for printed educational materials to €30.9 million for reminder systems. Of the strategies that are directed to patients, only the motivational program had a positive net benefit of €100.4 million. CONCLUSIONS: All the ISTs for cancer survivors, except for financial incentives, had a positive TNB. The largest improvements in adherence were created by a motivational program for patients, followed by a reminder system for professionals.

A SYSTEMATIC APPROACH FOR ASSESSING, IN THE ABSENCE OF FULL EVIDENCE, WHETHER MULTICOMPONENT INTERVENTIONS CAN BE MORE COST-EFFECTIVE THAN SINGLE COMPONENT INTERVENTIONS.

OBJECTIVES: Multicomponent interventions (MCIs), consisting of at least two interventions, are common in rehabilitation and other healthcare fields. When the effectiveness of the MCI versus that of its single interventions is comparable or unknown, evidence of their expected incremental cost-effectiveness can be helpful in deciding which intervention to recommend. As such evidence often is unavailable this study proposes an approach to estimate what is more cost-effective; the MCI or the single intervention(s). METHODS: We reviewed the literature for potential methods. Of those identified, headroom analysis was selected as the most suitable basis for developing the approach, based on the criteria of being able to estimate the cost-effectiveness of the single interventions versus that of the MCI (a) within a limited time frame, (b) in the absence of full data, and (c) taking into account carry-over and interaction effects. We illustrated the approach with an MCI for cancer survivors. RESULTS: The approach starts with analyzing the costs of the MCI. Given a specific willingness-to-pay-value, it is analyzed how much effectiveness the MCI would need to generate to be considered cost-effective, and if this is likely to be attained. Finally, the cost-effectiveness of the single interventions relative to the potential of the MCI for being cost-effective can be compared. CONCLUSIONS: A systematic approach using headroom analysis was developed for estimating whether an MCI is likely to be more cost effective than one (or more) of its single interventions.

Procalcitonin Biomarker Algorithm Reduces Antibiotic Prescriptions, Duration of Therapy, and Costs in Chronic Obstructive Pulmonary Disease: A Comparison in the Netherlands, Germany, and the United Kingdom.

Antibiotics are often recommended as treatment for patients with chronic obstructive pulmonary disease (COPD) exacerbations. However, not all COPD exacerbations are caused by bacterial infections and there is consequently considerable misuse and overuse of antibiotics among patients with COPD. This poses a severe burden on healthcare resources such as increased risk of developing antibiotic resistance. The biomarker procalcitonin (PCT) displays specificity to distinguish bacterial inflammations from nonbacterial inflammations and may therefore help to rationalize antibiotic prescriptions. We report in this study, a three-country comparison of the health and economic consequences of a PCT biomarker-guided prescription and clinical decision-making strategy compared to current practice in hospitalized patients with COPD exacerbations. A decision tree was developed, comparing the expected costs and effects of the PCT algorithm to current practice in the Netherlands, Germany, and the United Kingdom. The time horizon of the model captured the length of hospital stay and a societal perspective was also adopted. The primary health outcome was the duration of antibiotic therapy. The incremental cost-effectiveness ratio was defined as the incremental costs per antibiotic day avoided. The incremental cost savings per day on antibiotic therapy avoided were (in Euros) €90 in the Netherlands, €125 in Germany, and €52 in the United Kingdom. Probabilistic sensitivity analyses showed that in the majority of simulations, the PCT biomarker strategy was superior to current practice (the Netherlands: 58%, Germany: 58%, and the United Kingdom: 57%). In conclusion, the PCT biomarker algorithm to optimize antibiotic prescriptions in COPD is likely to be cost-effective compared to current practice. Both the percentage of patients who start with antibiotic treatment as well as the duration of antibiotic therapy are reduced with the PCT decision algorithm, leading to a decrease in total costs per patient. Economic analysis based on real-life data is recommended for further research. Biomarker-driven prescription algorithms are important instruments for personalized medicine in COPD. This also attests to the emerging convergence of biomarker innovations and the broader field of Health Technology Assessment (HTA).

Uncertainty of Physicians and Patients in Medical Decision Making.

Modern medicine has developed an apparently unlimited array of diagnostic and therapeutic tools; for example, treatment options for patients with hematologic malignancies are expanding rapidly. These developments, offering a spectrum of modalities, provide a new outlook on successful treatment for many patients. Nontheless, decisions regarding the optimum treatment strategy for any individual patient remain challenging, given that all prognostic projections are based on statistics. The challenge lies in identifying parameters that characterize individual patients as prospective responders or nonresponders and thus determine the prognosis. Both physicians and patients are confronted with the uncertainty of the success of treatment with any strategy in a particular disease condition and with the impact of treatment on overall prognosis. How certain can a physician be that an individual patient has the best prognosis with a particular intervention? How does a physician's own uncertainty affect decisions made by a less-informed patient? Here we examine various aspects of uncertainty and their relevance in the process of medical decision making as briefly illustrated by 2 clinical scenarios of hematologic malignancies.

(Very) Early technology assessment and translation of predictive biomarkers in breast cancer.

Predictive biomarkers can guide treatment decisions in breast cancer. Many studies are undertaken to discover and translate these biomarkers, yet few biomarkers make it to practice. Before use in clinical decision making, predictive biomarkers need to demonstrate analytical validity, clinical validity and clinical utility. While attaining analytical and clinical validity is relatively straightforward, by following methodological recommendations, the achievement of clinical utility is extremely challenging. It requires demonstrating three associations: the biomarker with the outcome (prognostic association), the effect of treatment independent of the biomarker, and the differential treatment effect between the prognostic and the predictive biomarker (predictive association). In addition, economical, ethical, regulatory, organizational and patient/doctor-related aspects are hampering the translational process. Traditionally, these aspects do not receive much attention until formal approval or reimbursement of a biomarker test (informed by Health Technology Assessment (HTA)) is at stake, at which point the clinical utility and sometimes price of the test can hardly be influenced anymore. When HTA analyses are performed earlier, during biomarker research and development, they may prevent further development of those biomarkers unlikely to ever provide sufficient added value to society, and rather facilitate translation of the promising ones. Early HTA is particularly relevant for the predictive biomarker field, as expensive medicines are under pressure and the need for biomarkers to guide their appropriate use is huge. Closer interaction between clinical researchers and HTA experts throughout the translational research process will ensure that available data and methodologies will be used most efficiently to facilitate biomarker translation.

Cost-effectiveness and resource use of implementing MRI-guided NACT in ER-positive/HER2-negative breast cancers in The Netherlands.

BACKGROUND: Response-guided neoadjuvant chemotherapy (RG-NACT) with magnetic resonance imaging (MRI) is effective in treating oestrogen receptor positive/human epidermal growth factor receptor-2 negative (ER-positive/HER2-negative) breast cancer. We estimated the expected cost-effectiveness and resources required for its implementation compared to conventional-NACT. METHODS: A Markov model compared costs, quality-adjusted-life-years (QALYs) and costs/QALY of RG-NACT vs. conventional-NACT, from a hospital perspective over a 5-year time horizon. Health services required for and health outcomes of implementation were estimated via resource modelling analysis, considering a current (4 %) and a full (100 %) implementation scenario. RESULTS: RG-NACT was expected to be more effective and less costly than conventional NACT in both implementation scenarios, with 94 % (current) and 95 % (full) certainty, at a willingness to pay threshold of €20.000/QALY. Fully implementing RG-NACT in the Dutch target population of 6306 patients requires additional 5335 MRI examinations and an (absolute) increase in the number of MRI technologists, by 3.6 fte (full-time equivalent), and of breast radiologists, by 0.4 fte. On the other hand, it prevents 9 additional relapses, 143 cancer deaths, 23 congestive heart failure events and 2 myelodysplastic syndrome/acute myeloid leukaemia events. CONCLUSION: Considering cost-effectiveness, RG-NACT is expected to dominate conventional-NACT. While personnel capacity is likely to be sufficient for a full implementation scenario, MRI utilization needs to be intensified.

Decisions on Further Research for Predictive Biomarkers of High-Dose Alkylating Chemotherapy in Triple-Negative Breast Cancer: A Value of Information Analysis.

OBJECTIVES: To inform decisions about the design and priority of further studies of emerging predictive biomarkers of high-dose alkylating chemotherapy (HDAC) in triple-negative breast cancer (TNBC) using value-of-information analysis. METHODS: A state transition model compared treating women with TNBC with current clinical practice and four biomarker strategies to personalize HDAC: 1) BRCA1-like profile by array comparative genomic hybridization (aCGH) testing; 2) BRCA1-like profile by multiplex ligation-dependent probe amplification (MLPA) testing; 3) strategy 1 followed by X-inactive specific transcript gene (XIST) and tumor suppressor p53 binding protein (53BP1) testing; and 4) strategy 2 followed by XIST and 53BP1 testing, from a Dutch societal perspective and a 20-year time horizon. Input data came from literature and expert opinions. We assessed the expected value of partial perfect information, the expected value of sample information, and the expected net benefit of sampling for potential ancillary studies of an ongoing randomized controlled trial (RCT; NCT01057069). RESULTS: The expected value of partial perfect information indicated that further research should be prioritized to the parameter group including "biomarkers' prevalence, positive predictive value (PPV), and treatment response rates (TRRs) in biomarker-negative patients and patients with TNBC" (€639 million), followed by utilities (€48 million), costs (€40 million), and transition probabilities (TPs) (€30 million). By setting up four ancillary studies to the ongoing RCT, data on 1) TP and MLPA prevalence, PPV, and TRR; 2) aCGH and aCGH/MLPA plus XIST and 53BP1 prevalence, PPV, and TRR; 3) utilities; and 4) costs could be simultaneously collected (optimal size = 3000). CONCLUSIONS: Further research on predictive biomarkers for HDAC should focus on gathering data on TPs, prevalence, PPV, TRRs, utilities, and costs from the four ancillary studies to the ongoing RCT.

Multi-Dimensional Impact of the Public-Private Center for Translational Molecular Medicine (CTMM) in the Netherlands: Understanding New 21(st) Century Institutional Designs to Support Innovation-in-Society.

Knowledge translation is at the epicenter of 21st century life sciences and integrative biology. Several innovative institutional designs have been formulated to cultivate knowledge translation. One of these organizational innovations has been the Center for Translational Molecular Medicine (CTMM), a multi-million public-private partnership in the Netherlands. The CTMM aims to accelerate molecular diagnostics and imaging technologies to forecast disease susceptibilities in healthy populations and early diagnosis and personalized treatment of patients. This research evaluated CTMM's impact on scientific, translational, clinical, and economic dimensions. A pragmatic, operationally-defined process indicators approach was used. Data were gathered from CTMM administrations, through a CTMM-wide survey (n = 167) and group interviews. We found that the CTMM focused on disease areas with high human, clinical, and economic burden to society (i.e., oncology, cardiovascular, neurologic, infection, and immunity diseases). CTMM displayed a robust scientific impact that rests 15%-80% above international reference values regarding publication volume and impact. Technology translation to the clinic was accelerated, with >50% of projects progressing from pre-clinical development to clinical testing within 5 years. Furthermore, CTMM has generated nearly 1500 Full Time Equivalent (FTE) of translational R&D capacity. Its positive impact on translational, (future) clinical, and economic aspects is recognized across all surveyed stakeholders. As organizational innovation is increasingly considered critical to forge linkages between life sciences discoveries and innovation-in-society, lessons learned from this study may inform other institutions with similar objectives such as the Clinical and Translational Science Awards (CTSA) Program of the National Institutes of Health (NIH) in the United States.