A descriptive analysis of real-world oncology biosimilar use in Japan.

Aim: To describe patient and treatment characteristics associated with bevacizumab BS-Pfizer, rituximab BS-Pfizer and trastuzumab BS-Pfizer and their reference products in Japan. Methods: This retrospective observational study used an administrative claims database to identify patients with ≥1 biosimilar or reference product prescription from 2019 to 2022 for approved indications. Descriptive statistics were calculated. Results: Overall, 14-39% of biosimilar-prescribed patients initiated therapy with reference products. Biosimilar utilization significantly increased from 2019 to 2022. The most-commonly prescribed concomitant class of therapy with biosimilars was antineoplastic therapy. Conclusion: Reference products were most frequently prescribed among the Japanese cohorts, but substantial and increasing proportions received biosimilars over time. Future studies should extend our initial insights to assess biosimilar clinical outcomes in Japanese settings.

This study examines the adoption of cancer biosimilar therapies in Japan from 2019 to 2022. Cancer biosimilars are complex treatments that closely resemble established cancer therapies already available in Japan. We looked into the characteristics of patients receiving three specific biosimilars ­ bevacizumab BS-Pfizer, rituximab BS-Pfizer and trastuzumab BS-Pfizer. We also investigated where patients received biosimilar treatment, other therapies they received alongside biosimilars and the proportion of patients using these therapies each year during the study. Our analysis utilized data from the 'Medical Data Vision' database, which records care provided in hospitals across Japan. We analyzed patient demographics and treatment patterns, and compared different groups using statistics to identify significant differences. Notably, we observed that between 14 and 39% of patients initially started treatment with the original version of the drug on the market, known as the 'reference product,' before switching to the biosimilar. Furthermore, our findings revealed a significant increase in the use of biosimilars each year during the study period. Biosimilars were most-commonly used alongside chemotherapy drugs. These initial findings shed light on the patient population using cancer biosimilars in Japan and the treatment contexts in which they are utilized. Future research should delve deeper into aspects such as cost of care, patient survival, side effects and other pertinent factors related to the use of biosimilars in cancer care in Japan.

Potential Cost-Effectiveness of Risk-Based Pancreatic Cancer Screening in Patients With New-Onset Diabetes.

BACKGROUND: There are no established methods for pancreatic cancer (PAC) screening, but the NCI and the Pancreatic Cancer Action Network (PanCAN) are investigating risk-based screening strategies in patients with new-onset diabetes (NOD), a group with elevated PAC risk. Preliminary estimates of the cost-effectiveness of these strategies can provide insights about potential value and inform supplemental data collection. Using data from the Enriching New-Onset Diabetes for Pancreatic Cancer (END-PAC) risk model validation study, we assessed the potential value of CT screening for PAC in those determined to be at elevated risk, as is being done in a planned PanCAN Early Detection Initiative trial. METHODS: We created an integrated decision tree and Markov state-transition model to assess the cost-effectiveness of PAC screening in patients aged ≥50 years with NOD using CT imaging versus no screening. PAC prevalence, sensitivity, and specificity were derived from the END-PAC validation study. PAC stage distribution in the no-screening strategy and PAC survival were derived from the SEER program. Background mortality for patients with diabetes, screening and cancer care expenditure, and health state utilities were derived from the literature. Life-years (LYs), quality-adjusted LYs (QALYs), and costs were tracked over a lifetime horizon and discounted at 3% per year. Results are presented in 2020 US dollars, and we took a limited US healthcare perspective. RESULTS: In the base case, screening resulted in 0.0055 more LYs, 0.0045 more QALYs, and $293 in additional expenditures for a cost per QALY gained of $65,076. In probabilistic analyses, screening resulted in a cost per QALY gained of <$50,000 and <$100,000 in 34% and 99% of simulations, respectively. In the threshold analysis, >25% of screen-detected PAC cases needed to be resectable for the cost per QALY gained with screening to be <$100,000. CONCLUSIONS: We found that risk-based PAC screening in patients with NOD is likely to be cost-effective in the United States if even a modest fraction (>25%) of screen-detected patients with PAC are resectable. Future studies should reassess the value of this intervention once clinical trial data become available.

Survival Gains from First-Line Systemic Therapy in Metastatic Non-Small Cell Lung Cancer in the U.S., 1990-2015: Progress and Opportunities.

BACKGROUND: Approximately 190,000 Americans are diagnosed with non-small cell lung cancer (NSCLC) annually, and about half have metastatic (Stage IV) disease. These patients have historically had poor survival prognosis, but several new therapies introduced since 2000 provide options for improved outcomes. The objectives of this study were to quantify survival gains from 1990, when best supportive care (BSC) only was standard, to 2015 and to estimate the impact of expanded use of systemic therapies in clinically appropriate patients. MATERIALS AND METHODS: We developed a simulation model to estimate survival gains for patients with metastatic NSCLC from 1990-2015. Survival estimates were derived from major clinical trials and extrapolated to a lifetime horizon. Proportions of patients receiving available therapies were derived from the Surveillance, Epidemiology, and End Results database and a commercial treatment registry. We also estimated gains in overall survival (OS) in scenarios in which systemic therapy use increased by 10% and 30% relative to current use. RESULTS: From 1990-2015, one-year survival proportion increased by 14.1% and mean per-patient survival improved by 4.2 months (32,700 population life years). Increasing treated patients by 10% or 30% increased OS by 5.1 months (39,700 population life years) and 6.9 months (53,800 population life years), respectively. CONCLUSION: Although survival remains poor in metastatic NSCLC relative to other common cancers, meaningful progress in per-patient and population-level outcomes has been realized over the past 25 years. These advances can be improved even further by increasing use of systemic therapies in the substantial proportion of patients who are suitable for treatment yet who currently receive BSC only. The Oncologist 2017;22:304-310 IMPLICATIONS FOR PRACTICE: Approximately 93,500 Americans are diagnosed with metastatic non-small cell lung cancer (NSCLC) annually. Historically, these patients have had poor survival prognosis, but newer therapies provide options for improved outcomes. This simulation modeling study quantified metastatic NSCLC survival gains from 1990-2015. Over this period, the one-year survival proportion and mean per-patient survival increased by 14.1% and 4.2 months, respectively. Though metastatic NSCLC survival remains poor, the past 25 years have brought meaningful gains. Additional gains could be realized by increasing systemic therapy use in the substantial proportion of patients who are suitable for treatment, yet currently receive only supportive care.

A qualitative study exploring why individuals opt out of lung cancer screening.

Background: Lung cancer screening with annual low-dose computed tomography is relatively new for long-term smokers in the USA supported by a US Preventive Services Task Force Grade B recommendation. As screening programs are more widely implemented nationally and providers engage patients about lung cancer screening, it is critical to understand behaviour among high-risk smokers who opt out to improve shared decision-making processes for lung cancer screening. Objective: The purpose of this study was to explore the reasons for screening-eligible patients' decisions to opt out of screening after receiving a provider recommendation. Methods: Semi-structured qualitative telephone interviews were performed with 18 participants who met lung cancer screening criteria for age, smoking and pack-year history in Washington State from November 2015 to January 2016. Two researchers with cancer screening and qualitative methodology expertise conducted data analysis using thematic content analytic procedures from audio-recorded interviews. Results: Five primary themes emerged for reasons of opting out of lung cancer screening: (i) Knowledge Avoidance; (ii) Perceived Low Value; (iii) False-Positive Worry; (iv) Practical Barriers; and (v) Patient Misunderstanding. Conclusion: The participants in our study provided insight into why some patients make the decision to opt out of low-dose computed tomography screening, which provides knowledge that can inform intervention development to enhance shared decision-making processes between long-term smokers and their providers and decrease decisional conflict about screening.

Cost-Effectiveness of a Biopsy-Based 8-Protein Prostate Cancer Prognostic Assay to Optimize Treatment Decision Making in Gleason 3 + 3 and 3 + 4 Early Stage Prostate Cancer.

BACKGROUND: Many patients with Gleason 3 + 3 and 3 + 4 early stage prostate cancer receive invasive treatment but likely derive little or no benefit. A novel 8-protein prognostic assay generates a risk score at time of biopsy that is predictive of prostate cancer aggressiveness and can inform treatment decisions. The objective of this study was to evaluate the cost-effectiveness of using the assay to inform treatment decisions compared with usual care. PATIENTS AND METHODS: We developed a simulation model to estimate quality-adjusted life-year (QALY) and cost outcomes for the 8-protein assay and usual care strategies. Risk classification outcomes, treatment distributions, costs, health state utilities, and mortality rates were derived from the assay's validation study and the peer-reviewed literature. Outcomes included incremental QALYs, costs, and cost-effectiveness ratios. We conducted one-way and probabilistic sensitivity analyses to evaluate the most influential inputs and to explore joint uncertainty in outcomes, respectively. RESULTS: The 8-protein assay strategy resulted in 0.04 more QALY and $700 less in costs compared with usual care (and thus was "dominant"). The cost-effectiveness of the assay strategy was most sensitive to the assay cost, the active surveillance health state utility, and the proportion of low-risk patients receiving active surveillance (vs. treatment) in usual care. In the probabilistic sensitivity analyses, the assay strategy decreased cost and increased QALYs in 86.9% and 58.3% of simulations, respectively. CONCLUSION: Assuming that ongoing prospective studies support the results of retrospective validation studies, the 8-protein prognostic assay strategy for prostate cancer is likely to be a cost-effective alternative to usual guideline-based care in biopsy Gleason 3 + 3 and 3 + 4 early stage prostate cancer.

The Relationship of Perceived Risk and Biases in Perceived Risk to Fracture Prevention Behavior in Older Women.

BACKGROUND: A bias in perceived risk for health outcomes, including fracture, exists. PURPOSE: We compared perceived risk and biases in perceived risk for fracture to fracture preventive behavior. METHODS: Women over age 55 (n = 2874) completed a survey five times over 5 years, and data was pulled from the medical record. Perceived risk was measured by asking women to rate their risk of fracture compared to similar women. Actual risk was measured using FRAX score. Bias was measured using an interaction between perceived and actual risk. RESULTS: Higher perceived risk was related to lower quality of life and self-reported health, more medication and calcium use, increased bone density scan use, and less walking. Bias was only associated with less medication use. Neither perceived risk nor bias predicted medication adherence. CONCLUSIONS: Perceived risk, but not bias, may predict different fracture prevention behaviors. Clinicians may need to base interventions on risk perceptions.

Alcohol misuse, genetics, and major bleeding among warfarin therapy patients in a community setting.

PURPOSE: Little is known about the impact of alcohol consumption on warfarin safety, or whether demographic, clinical, or genetic factors modify risk of adverse events. We conducted a case-control study to assess the association between screening positive for moderate/severe alcohol misuse and the risk of major bleeding in a community sample of patients using warfarin. METHODS: The study sample consisted of 570 adult patients continuously enrolled in Group Heath for at least 2 years and receiving warfarin. The main outcome was major bleeding validated through medical record review. Cases experienced major bleeding, and controls did not experience major bleeding. Exposures were Alcohol Use Disorders Identification Test Consumption Questionnaire (AUDIT-C) scores and report of heavy episodic drinking (≥5 drinks on an occasion). The odds of major bleeding were estimated with multivariate logistic regression models. The overall sample was 55% male, 94% Caucasian, and had a mean age of 70 years. RESULTS: Among 265 cases and 305 controls, AUDIT-C scores indicative of moderate/severe alcohol misuse and heavy episodic drinking were associated with increased risk of major bleeding (OR = 2.10, 95% CI = 1.08-4.07; and OR = 2.36, 95% CI = 1.24-4.50, respectively). Stratified analyses demonstrated increased alcohol-related major bleeding risk in patients on warfarin for ≥1 year and in those with a low-dose genotype (CYP2C9*2/*3, VKORC1(1173G>A), CYP4F2*1), but not in other sub-groups evaluated. CONCLUSIONS: Alcohol screening questionnaires, potentially coupled with genetic testing, could have clinical utility in selecting patients for warfarin therapy, as well as refining dosing and monitoring practices.

Economic return from the Women's Health Initiative estrogen plus progestin clinical trial: a modeling study.

BACKGROUND: The findings of the Women's Health Initiative (WHI) estrogen plus progestin (E+P) trial led to a substantial reduction in use of combined hormone therapy (cHT) among postmenopausal women in the United States. The economic effect of this shift has not been evaluated relative to the trial's $260 million cost (2012 U.S. dollars). OBJECTIVE: To estimate the economic return from the WHI E+P trial. DESIGN: Decision model to simulate health outcomes for a "WHI scenario" with observed cHT use and a "no-WHI scenario" with cHT use extrapolated from the pretrial period. DATA SOURCES: Primary analyses of WHI outcomes, peer-reviewed literature, and government sources. TARGET POPULATION: Postmenopausal women in the United States, aged 50 to 79 years, who did not have a hysterectomy. TIME HORIZON: 2003 to 2012. PERSPECTIVE: Payer. INTERVENTION: Combined hormone therapy. OUTCOME MEASURES: Disease incidence, expenditure, quality-adjusted life-years, and net economic return. RESULTS OF BASE-CASE ANALYSIS: The WHI scenario resulted in 4.3 million fewer cHT users, 126,000 fewer breast cancer cases, 76,000 fewer cardiovascular disease cases, 263,000 more fractures, 145,000 more quality-adjusted life-years, and expenditure savings of $35.2 billion. The corresponding net economic return of the trial was $37.1 billion ($140 per dollar invested in the trial) at a willingness-to-pay level of $100,000 per quality-adjusted life-year. RESULTS OF SENSITIVITY ANALYSIS: The 95% CI for the net economic return of the trial was $23.1 to $51.2 billion. LIMITATION: No evaluation of indirect costs or outcomes beyond 2012. CONCLUSION: The WHI E+P trial made high-value use of public funds with a substantial return on investment. These results can contribute to discussions about the role of public funding for large, prospective trials with high potential for public health effects. PRIMARY FUNDING SOURCE: National Heart, Lung, and Blood Institute.

Cost-effectiveness of a 14-gene risk score assay to target adjuvant chemotherapy in early stage non-squamous non-small cell lung cancer.

Life Technologies has developed a 14-gene molecular assay that provides information about the risk of death in early stage non-squamous non-small cell lung cancer patients after surgery. The assay can be used to identify patients at highest risk of mortality, informing subsequent treatments. The objective of this study was to evaluate the cost-effectiveness of this novel assay. Patients and Methods. We developed a Markov model to estimate life expectancy, quality-adjusted life years (QALYs), and costs for testing versus standard care. Risk-group classification was based on assay-validation studies, and chemotherapy uptake was based on pre- and post-testing recommendations from a study of 58 physicians. We evaluated three chemotherapy-benefit scenarios: moderately predictive (base case), nonpredictive (i.e., the same benefit for each risk group), and strongly predictive. We calculated the incremental cost-effectiveness ratio (ICER) and performed one-way and probabilistic sensitivity analyses. Results. In the base case, testing and standard-care strategies resulted in 6.81 and 6.66 life years, 3.76 and 3.68 QALYs, and $122,400 and $118,800 in costs, respectively. The ICER was $23,200 per QALY (stage I: $29,200 per QALY; stage II: $12,200 per QALY). The ICER ranged from "dominant" to $92,100 per QALY in the strongly predictive and nonpredictive scenarios. The model was most sensitive to the proportion of high-risk patients receiving chemotherapy and the high-risk hazard ratio. The 14-gene risk score assay strategy was cost-effective in 68% of simulations. Conclusion. Our results suggest that the 14-gene risk score assay may be a cost-effective alternative to standard guideline-based adjuvant chemotherapy decision making in early stage non-small cell lung cancer.

Cost-effectiveness of a computerized provider order entry system in improving medication safety ambulatory care.

BACKGROUND: Computerized provider order entry (CPOE) is the process of entering physician orders directly into an electronic health record. Although CPOE has been shown to improve medication safety and reduce health care costs, these improvements have been demonstrated largely in the inpatient setting; the cost-effectiveness in the ambulatory setting remains uncertain. OBJECTIVE: The objective was to estimate the cost-effectiveness of CPOE in reducing medication errors and adverse drug events (ADEs) in the ambulatory setting. METHODS: We created a decision-analytic model to estimate the cost-effectiveness of CPOE in a midsized (400 providers) multidisciplinary medical group over a 5-year time horizon- 2010 to 2014-the time frame during which health systems are implementing CPOE to meet Meaningful Use criteria. We adopted the medical group's perspective and utilized their costs, changes in efficiency, and actual number of medication errors and ADEs. One-way and probabilistic sensitivity analyses were conducted. Scenario analyses were explored. RESULTS: In the base case, CPOE dominated paper prescribing, that is, CPOE cost $18 million less than paper prescribing, and was associated with 1.5 million and 14,500 fewer medication errors and ADEs, respectively, over 5 years. In the scenario that reflected a practice group of five providers, CPOE cost $265,000 less than paper prescribing, was associated with 3875 and 39 fewer medication errors and ADEs, respectively, over 5 years, and was dominant in 80% of the simulations. CONCLUSIONS: Our model suggests that the adoption of CPOE in the ambulatory setting provides excellent value for the investment, and is a cost-effective strategy to improve medication safety over a wide range of practice sizes.

Clinical and Economic Value of a Biosimilar Portfolio to Stakeholders: An Integrative Literature Review.

Purpose: While the value of individual biosimilars is evident, little is known about the value of a biosimilar portfolio beyond the cost savings between biosimilars and originators. Stakeholders may consider the value of a manufacturer's biosimilar portfolio, especially when negotiating portfolio-based contracts or other rebate programs. However, little is known about what other types of value, in addition to financial benefits, decision-makers perceive regarding a manufacturer with a biosimilar portfolio compared to those without one. The objective of this integrative literature review was to describe a conceptual framework consisting of themes that may help define the value of a biosimilar portfolio. Methods: An integrative literature review was conducted using Excerpta Medica Database (Embase) and Medical Literature Analysis and Retrieval System Online (MEDLINE). Grey literature searches of search engines, journals not indexed in Embase or MEDLINE, healthcare payers, health technology assessment bodies, value frameworks, and non-pharmaceutical industry analogs were also conducted. Eligible studies reported on the value of a biosimilar portfolio in decision-making by stakeholders. Apart from the literature, insights were gained from clinical experience and observation. Results: No studies investigating biosimilar portfolio value were identified; however, several themes were identified that may help define the value of a biosimilar portfolio: Manufacturing; procurement, inventory, and storage; administration; education; and transaction costs. Several non-pharmaceutical industry analogs were identified: Product line length and single-supplier versus multiple-supplier procurement. Several themes were identified through other sources: Science credibility and research. Based on these themes, we developed a conceptual framework for biosimilar portfolio value. Conclusion: To our knowledge, this is the first study to systematically assess and create a framework for biosimilar portfolio value. The conceptual framework described here could be tested to quantify the clinical and economic value associated with a biosimilar portfolio.

Though the value of single biosimilars is evident, little is known about the value of a biosimilar portfolio beyond the cost savings incurred between biosimilars and originators.We identified seven themes that may help to define the value of a biosimilar portfolio: Manufacturing; procurement, inventory, and storage; administration; education; transaction costs; science credibility; and research.These themes may be integrated into a conceptual framework that may form a basis to help quantify the clinical and economic benefit of a biosimilar portfolio to stakeholders.

The Impact of Biosimilar Use on Total Cost of Care and Provider Financial Performance in the Medicare Oncology Care Model: A Population-Based Simulation Study.

INTRODUCTION: Payment for oncology care is increasingly moving from fee-for-service to value-based payment (VBP). VBPs are agreements in which providers are held accountable for total cost of care (TCOC) through risk-sharing arrangements with payers that tie reimbursement levels to TCOC benchmarks. Oncology biosimilars may play an important role in managing financial risk in the VBPs like Medicare's Oncology Care Model (OCM), but there has been limited research in this area. The objective of this study is to estimate the impact of biosimilar adoption on TCOC and oncology provider financial performance under the terms of the Medicare OCM. METHODS: We conducted a population-based simulation study using the Medicare Limited Data Set (LDS) and the methodology of Medicare's OCM. The primary outcome was the simulated average change in TCOC per 6-month episode of care attributable to use of biosimilars as an alternative to reference products. The study population consisted of episodes of care in 2020 and using the reference product or corresponding biosimilar for bevacizumab, rituximab, trastuzumab, epoetin alfa, filgrastim, or pegfilgrastim. TCOC was calculated for each episode of care with use of reference products only and compared with TCOC with corresponding biosimilars. The simulation calculated TCOC outcomes in cohorts of 100 episodes sampled from the Medicare LDS study population using a Monte Carlo simulation with 10,000 iterations. RESULTS: Among the total of 8281 6-month oncology care episodes identified in the study period (initiating January 2020 to July 2020) in Medicare claims, 1586 (19.2%) episodes met OCM and study criteria and were included. Applying the simulation methods to these observed episodes, biosimilar substitution reduced mean TCOC per episode by $1193 (95% CI $583-1840). The cost reduction from biosimilars represented 2.4% of the average TCOC benchmark and led to a 15% reduction in the risk of providers needing to pay recoupments to Medicare for exceeding TCOC benchmarks. CONCLUSIONS: On the basis of our simulation study using observed Medicare claims and OCM criteria, we found that biosimilar substitution for reference products can significantly lower episode TCOC and improve provider financial performance under the terms of the largest value-based payment model implemented to date.

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.

The impact of the Oncotype Dx breast cancer assay in clinical practice: a systematic review and meta-analysis.

The impact of the Oncotype Dx (ODX) breast cancer assay on adjuvant chemotherapy (ACT) treatment decisions has been evaluated in many previous studies. However, it can be difficult to interpret the collective findings, which were conducted in diverse settings with limited sample sizes. We conducted a systematic review and meta-analysis to synthesize the results and provide insights about ODX utility. Studies, identified from PubMed, Embase, ASCO, and SABCS, were included if patients had ER+, node -, early-stage breast cancer, reported use of ODX to inform actual ACT decisions. Information was summarized and pooled according to: (1) distribution of ODX recurrence scores (RS), (2) impact of ODX on ACT recommendations, (3) impact of ODX on ACT use, and (4) proportion of patients following the treatment suggested by the ODX RS. A total of 23 studies met inclusion criteria. The distribution of RS categories was 48.8 % low, 39.0 % intermediate, and 12.2 % high (21 studies, 4,156 patients). ODX changed the clinical-pathological ACT recommendation in 33.4 % of patients (8 studies, 1,437 patients). In patients receiving ODX, receipt of ACT were: 28.2 % overall, 5.8 % low, 37.4 % intermediate, and 83.4 % high. Low RS patients were significantly more likely to follow the treatment suggested by ODX versus high RS patients RR: 1.07 (1.01­1.14) [corrected].The pooled results are consistent with most individual studies to date. The increased proportion of intermediate scores relative to original estimates may have implications for the clinical utility and cost impacts of testing. In addition, low versus high RS patients were significantly more likely to follow the ODX results, suggesting a tendency toward less aggressive treatment, despite a high ODX RS. Finally, there was a lack of studies on the impact of ODX on ACT use versus standard approaches, suggesting that additional studies are warranted.

Translating an Economic Analysis into a Tool for Public Health Resource Allocation in Cancer Survivorship.

Background. The complexity of decision science models may prevent their use to assist in decision making. User-centered design (UCD) principles provide an opportunity to engage end users in model development and refinement, potentially reducing complexity and increasing model utilization in a practical setting. We report our experiences with UCD to develop a modeling tool for cancer control planners evaluating cancer survivorship interventions. Design. Using UCD principles (described in the article), we developed a dynamic cohort model of cancer survivorship for individuals with female breast, colorectal, lung, and prostate cancer over 10 y. Parameters were obtained from the National Program of Cancer Registries and peer-reviewed literature, with model outcomes captured in quality-adjusted life-years and net monetary benefit. Prototyping and iteration were conducted with structured focus groups involving state cancer control planners and staff from the Centers for Disease Control and Prevention and the American Public Health Association. Results. Initial feedback highlighted model complexity and unclear purpose as barriers to end user uptake. Revisions addressed complexity by simplifying model input requirements, providing clear examples of input types, and reducing complex language. Wording was added to the results page to explain the interpretation of results. After these updates, feedback demonstrated that end users more clearly understood how to use and apply the model for cancer survivorship resource allocation tasks. Conclusions. A UCD approach identified challenges faced by end users in integrating a decision aid into their workflow. This approach created collaboration between modelers and end users, tailoring revisions to meet the needs of the users. Future models developed for individuals without a decision science background could leverage UCD to ensure the model meets the needs of the intended audience. Highlights: Model complexity and unclear purpose are 2 barriers that prevent lay users from integrating decision science tools into their workflow.Modelers could integrate the user-centered design framework when developing a model for lay users to reduce complexity and ensure the model meets the needs of the users.

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.

Assessment of the Cost-Effectiveness of HER2-Targeted Treatment Pathways in the Neoadjuvant Treatment of High-Risk HER2-Positive Early-Stage Breast Cancer.

INTRODUCTION: This study aims to assess differences in costs and benefits of treatment strategies for high-risk human epidermal growth factor receptor 2 positive (HER2+) early-stage breast cancer (ESBC). METHODS: We used a hybrid decision-tree/Markov model to simulate costs and outcomes across six health states: Invasive disease-free, non-metastatic recurrence, remission, first-line and second-line metastatic cancer, and death. We considered several strategies, defined by four attributes: (1) Neoadjuvant targeted therapy (infused pertuzumab and trastuzumab (PH) versus subcutaneous fixed-dose combination (FDC) of pertuzumab and trastuzumab versus trastuzumab alone (H)); (2) adjuvant targeted therapy if pathological complete response (pCR) is achieved (PH, FDC, or H); (3) adjuvant targeted therapy (T-DM1 or H) in the case of residual disease (RD); and (4) use of branded or biosimilar H. Transition probabilities were derived from relevant clinical trials. We included drug costs and costs associated with adverse events and administration. Health state utilities were obtained from clinical trials and the literature. RESULTS: Strategies not containing T-DM1 were dominated (worse outcomes and greater costs) by strategies containing T-DM1. Among strategies with pertuzumab continuation in the case of pCR and T-DM1 in the case of RD, use of FDC was dominant (equivalent outcomes and lower costs), relative to strategies using infused therapies, regardless of biosimilar versus branded trastuzumab. Adjuvant continuation of FDC was also cost-effective (better outcomes at reasonable cost increases) relative to strategies which discontinued pertuzumab following pCR. CONCLUSION: Dual targeted therapy via FDC (with transition to T-DM1 in the case of RD) is a cost-effective treatment strategy in high-risk HER2+ ESBC.

Assessing Barriers to use of the Specific Carbohydrate Diet in Pediatric Inflammatory Bowel Disease: A Qualitative Study.

Because of the high cost and associated toxicities of pharmacotherapy treatment for inflammatory bowel disease (IBD), there has been growing interest in dietary therapy. The objective of this study is to assess barriers to initiating or maintaining the specific carbohydrate diet (SCD) to inform strategies for improving access and adherence to the diet. Methods: We conducted semistructured interviews with parents of 10 children with IBD receiving care at a single academic treatment center. Parents were eligible if their child with IBD was either currently on the SCD, previously on the SCD, or opted not to initiate the SCD. Core questions were developed in conjunction with IBD clinical experts. Interviews were transcribed and analyzed using an inductive approach. Results: Parents of children diagnosed with IBD primarily chose to try the SCD because of concerns about medication safety. Three major barriers to utilizing the SCD emerged: cost, time commitment, and psychosocial impact. Many parents also expressed that following the SCD got easier over time and some parents experienced spillover effects of improved personal health and understanding of nutrition. All parents were strong proponents of the importance of diet in managing IBD and expressed desire for more research into the SCD and other forms of dietary therapy. Conclusions: These findings provide important insight into factors affecting utilization of the SCD in pediatric IBD. Further research is needed to develop interventions or strategies to diminish these barriers and enable more patients to benefit from the SCD.

A Budget Impact Analysis of Gene Therapy for Sickle Cell Disease: The Medicaid Perspective.

Importance: Hundreds of gene therapies are undergoing clinical testing and are likely to be priced more than $1 million per course of treatment. The association that high prices will have with insurance coverage of gene therapy remains unclear. Gene therapy for sickle cell disease has shown early success and would be one of the first gene therapies available for a relatively large population. Objectives: To estimate the budget impact and affordability of a gene therapy for severe sickle cell disease from the perspective of US Medicaid programs with the highest prevalence of sickle cell disease while exploring the impact of an annuity payment model. Design, Setting, and Participants: A budget impact analysis was performed from January 1 to May 31, 2020, for a sickle cell disease gene therapy from the perspective of 10 state Medicaid plans with a 5-year time horizon, using state-level disease prevalence data from 2012. Disease prevalence, Medicaid enrollment, and expenditures were derived from the available literature. The eligible population was based on modified clinical trial inclusion criteria including individuals aged 13 to 45 years with severe disease. Exposures: The gene therapy was assumed to be administered to 7% of the eligible population annually and was curative (no subsequent disease-related expenditures). The gene therapy price was $1.85 million in the base case, and baseline disease-related expenditures were $42 200 per year. Main Outcomes and Measures: The main outcomes were total budget impact and budget impact per member per month in years 1 through 5. One-way sensitivity analysis was used to evaluate uncertainty of market diffusion, size of eligible population, price of therapy, and cost of routine care. Results: An estimated 5464 Medicaid enrollees would be eligible for the gene therapy nationally, with 2315 individuals in the 10 Medicaid programs of interest (16 per 100 000 enrollees). The model projected a mean 1-year budget impact of $29.96 million per state Medicaid program in the sample ($1.91 per member per month). A 5-year annuity payment reduced the short-term budget impact. Conclusions and Relevance: This study suggests that a gene therapy for severe sickle cell disease is likely to produce a considerable budget impact for many Medicaid plans while potentially offering substantial benefit to patients. Payers may need to take steps to ensure affordability and access. Gene therapy for sickle cell disease is likely to provide an early demonstration of the unique financial challenges associated with this emerging drug class.