Methodological Issues in Assessing the Economic Value of Next-Generation Sequencing Tests: Many Challenges and Not Enough Solutions

Australian Preferences for Prenatal Screening: A Discrete Choice Experiment Comparing Metropolitan and Rural/Regional Areas

BACKGROUND

Non-invasive prenatal testing has the potential to be a useful genetic screening tool in Australia. However, concerns have been raised about its cost, commercial provision, the psychological impacts of the screening process, and disparities in access experienced by rural and regional communities.

AIMS

The aims of this study are (1) to estimate Australian preferences for features of prenatal screening; (2) to explore potential variations in preferences between metropolitan and rural/regional communities; (3) to estimate the extent to which respondents are willing to trade-off between attributes, using willingness to pay (WTP) and willingness to wait estimates.

METHODS

A discrete choice experiment (DCE) was conducted with 12 choice tasks. The DCE recruited participants from metropolitan (n = 160) and rural/regional (n = 168) locations across Australia. Mixed logit and latent class analyses were conducted and WTP and willingness to wait were calculated.

RESULTS

Both metropolitan and rural/regional preferences were significantly impacted by the false-positive rate, false-negative rate, and cost. In addition, rural preferences were significantly impacted by the scope of the conditions covered, the inconclusive rate, and wait times. The number of screening tests and revealing the sex of the foetus were not significant within either group. Willingness to pay estimates ranged from AU$13 to avoid a test with a 1% increase in the false-positive rate to AU$323 to screen for a wide range of conditions.

CONCLUSIONS

This study highlights the importance of considering differing preferences between rural and metropolitan populations when delivering prenatal screening. Further, this study provides Australian-specific WTP estimates to be incorporated into economic evaluations.

Diagnostic Performance of Next-Generation Sequencing (NGS) in Indeterminate Thyroid Nodules: A Single Hospital Experience

Fine-needle aspiration cytology (FNAC) is the gold standard to diagnose thyroid nodules but fails in discriminating the nature of indeterminate lesions. Molecular testing can improve the diagnosis of these nodules and next-generation sequencing (NGS) can be used to test many genes simultaneously. Assess the performance of an NGS 17-gene panel on thyroid indeterminate FNAC. One hundred five indeterminate FNACs, 30.5% high-risk (TIR3B) and 69.5% low-risk (TIR3A), were analyzed by NGS. For TIR3A, the rate of mutated samples was 10.9%, significantly lower (p = 0.0001) compared to TIR3B (63.6%). Twenty-two mutated and fourteen non-mutated samples were submitted to surgery. At histology, the overall malignancy was 85.7% in the indeterminate group that had a positive molecular test and 13.3% in the mutation-negative (p = 0.01). The 17-gene panel had a sensitivity of 90%, specificity of 87%, positive predictive value (PPV) of 91%, and negative predictive value (NPV) of 87%. We reported the utility of Ultrasound Malignancy Risk Stratification of Thyroid Nodules in Adults (EU-TIRADS) in selecting indeterminate nodules for molecular analysis, showing a significant correlation between US score and mutation (p = 0.004). The performance of a 17-gene panel based on NGS technology is promising, allowing the selection of indeterminate nodules to submit to surgery with a great specificity and PPV.

The Concept of Personal Utility in Genomic Testing: Three Ethical Tensions

Health Technology Assessment (HTA) has traditionally focused on efficacy, safety, and cost-effectiveness. There has long been concern, however, that this is determined by the goals of healthcare providers/payers, not patients. As a result, HTA arguably fails to reflect the overall value of health technologies-including their "non-clinical" or "personal" utility to patients and their families. The use of genomic testing in clinical care is one domain where this problem is evident, as the personal utility of results is often especially significant. As such, there are growing calls for HTA frameworks to adopt personal utility as a distinct element of value when assessing clinical genomic tests. We agree that personal utility is important to HTA in clinical genomics. However, against a trend toward comprehensive conceptions of personal utility within HTA, we advocate for a restrictive approach to assessing the value of personal utility in the case of clinical genomic testing.

Liquid Biopsy in HPV-Associated Head and Neck Cancer: A Comprehensive Review

Objectives: Head and neck squamous cell carcinoma (HNSCC) is the sixth most common cancer globally, with HPV-positive cases emerging as a distinct subtype with unique clinical and molecular characteristics. Current diagnostic methods, including tissue biopsy and imaging, face limitations in terms of invasiveness, static disease assessment, and difficulty in distinguishing recurrence from treatment-related changes. This review aimed to assess the potential of liquid biopsy as a minimally invasive tool for the diagnosis, treatment monitoring, and surveillance of HPV-associated HNSCC. Methods: This systematic review analyzed literature from PubMed/MEDLINE, Embase, and Web of Science, focusing on original research and reviews related to liquid biopsy applications in HPV-positive HNSCC. Included studies were evaluated based on the robustness of the study design, clinical relevance, and analytical performance of liquid biopsy technologies. Biomarker types, detection methods, and implementation strategies were assessed to identify advancements and challenges in this field. Results: Liquid biopsy technologies, including circulating HPV DNA, ctDNA, and extracellular vesicles, demonstrated high sensitivity (90-95%) and specificity (>98%) in detecting HPV-positive HNSCC. These methods enabled real-time monitoring of tumor dynamics, early detection of recurrence, and insights into treatment resistance. Longitudinal analysis revealed that biomarker clearance during treatment correlates strongly with patient outcomes. Conclusions: Liquid biopsy is a transformative diagnostic and monitoring tool for HPV-associated HNSCC, offering minimally invasive, real-time insights into tumor biology. While challenges remain in standardization and clinical implementation, ongoing research and technological innovations hold promise for integrating liquid biopsy into personalized cancer care, ultimately improving patient outcomes.

Payer perspectives on genomic testing in the United States: A systematic literature review

PURPOSE

Health care stakeholders' perspectives on the value of genomic testing vary widely and directly affect the access and practice of genomic medicine. To our knowledge, a review of US health care payers' perspectives on genomic testing has not been performed.

METHODS

We conducted a systematic literature review of US payers' perspectives on genomic testing in the MEDLINE, PubMed, and Cumulative Index to Nursing and Allied Health Literature (CINAHL) databases. Of the 161 nonduplicate records screened, we summarized findings from 20 included records, and using the framework method, common domains were recorded.

RESULTS

Domains included clinical utility, coverage decision frameworks, potential harms, costs, paying for research, demand/pressure, the flexibility of outcomes considered, and personal utility. There was consensus on the definition of clinical utility as improved health outcomes, and the nuances of genomic testing were reported as challenging to fit within existing coverage decision frameworks. Perspectives varied on accepting broader outcomes or uses of genomic testing and whether costs influence coverage decisions. Study methodologies were heterogeneous.

CONCLUSION

A deeper understanding of how payers approach genomic testing may allow comparison with other stakeholders' perspectives and may identify challenges, opportunities, and solutions to align a conceptual and evidentiary framework better to demonstrate the value of genomic testing.

The American Cancer Society National Lung Cancer Roundtable strategic plan: Advancing comprehensive biomarker testing in non-small cell lung cancer

Comprehensive biomarker testing is a crucial requirement for the optimal treatment of advanced-stage non-small cell lung cancer (NSCLC), with emerging relevance in the adjuvant treatment setting. To advance its goal of ensuring optimal therapy for persons diagnosed with lung cancer, the American Cancer Society National Lung Cancer Roundtable (ACS NLCRT) held The Summit on Optimizing Lung Cancer Biomarkers in Practice in September 2020 to align its partners toward the goal of ensuring comprehensive biomarker testing for all eligible patients with NSCLC. The ACS NLCRT's Strategic Plan for Advancing Comprehensive Biomarker Testing in NSCLC, a product of the summit, comprises actions to promote comprehensive biomarker testing for all eligible patients. The approach is multifaceted, including policy-level advocacy and the development and dissemination of targeted educational materials, clinical decision tools, and guides to patients, physicians, and payers aimed at ameliorating barriers to testing experienced by each of these groups. PLAIN LANGUAGE SUMMARY: The ACS NLCRT works to improve care for patients with lung cancer. The ACS NLCRT supports comprehensive biomarker testing as essential to determine treatment options for all eligible patients with non-small cell lung cancer. Many factors lead to some patients not receiving optimal biomarker testing. The ACS NLCRT held a collaborative summit and developed a strategic plan to achieve and promote comprehensive biomarker testing for all patients. These plans include developing educational materials and physician tools and advocating for national policies in support of biomarker testing.

Next-generation sequencing in oncology: challenges in economic evaluations

INTRODUCTION

Next-generation sequencing (NGS) identifies genetic variants to inform personalized treatment plans. Insufficient evidence of cost-effectiveness impedes the integration of NGS into routine cancer care. The complexity of personalized treatment challenges conventional economic evaluation. Clearly delineating challenges informs future cost-effectiveness analyses to better value and contextualize health, preference-, and equity-based outcomes.

AREAS COVERED

We conducted a scoping review to characterize the applied methods and outcomes of economic evaluations of NGS in oncology and identify existing challenges. We included 27 articles published since 2016 from a search of PubMed, Embase, and Web of Science. Identified challenges included defining the evaluative scope, managing evidentiary limitations including lack of causal evidence, incorporating preference-based utility, and assessing distributional and equity-based impacts. These challenges reflect the difficulty of generating high-quality clinical effectiveness and real-world evidence (RWE) for NGS-guided interventions.

EXPERT OPINION

Adapting methodological approaches and developing life-cycle health technology assessment (HTA) guidance using RWE is crucial for implementing NGS in oncology. Healthcare systems, decision-makers, and HTA organizations are facing a pivotal opportunity to adapt to an evolving clinical paradigm and create innovative regulatory and reimbursement processes that will enable more sustainable, equitable, and patient-oriented healthcare.

A local perspective on internal, external, and reflexive biomarker testing processes for lung cancer in an academic medical center

In a large academic medical center, processes for ordering and receiving biomarker testing to inform cancer treatment in non–small cell lung cancer varied by whether tests were conducted internally or externally. Lack of standardization in biomarker testing processes, despite the availability of electronic health record solutions, contributes to clinician burden and may increase risk of delays in receipt of testing results; therefore, efforts to streamline ordering processes may benefit health systems.

Benefits and harms of antenatal and newborn screening programmes in health economic assessments: the VALENTIA systematic review and qualitative investigation

Background

Health economic assessments are used to determine whether the resources needed to generate net benefit from an antenatal or newborn screening programme, driven by multiple benefits and harms, are justifiable. It is not known what benefits and harms have been adopted by economic evaluations assessing these programmes and whether they omit benefits and harms considered important to relevant stakeholders.

Objectives

(1) To identify the benefits and harms adopted by health economic assessments in this area, and to assess how they have been measured and valued; (2) to identify attributes or relevance to stakeholders that ought to be considered in future economic assessments; and (3) to make recommendations about the benefits and harms that should be considered by these studies.

Design

Mixed methods combining systematic review and qualitative work.

Systematic review methods

We searched the published and grey literature from January 2000 to January 2021 using all major electronic databases. Economic evaluations of an antenatal or newborn screening programme in one or more Organisation for Economic Co-operation and Development countries were considered eligible. Reporting quality was assessed using the Consolidated Health Economic Evaluation Reporting Standards checklist. We identified benefits and harms using an integrative descriptive analysis and constructed a thematic framework.

Qualitative methods

We conducted a meta-ethnography of the existing literature on newborn screening experiences, a secondary analysis of existing individual interviews related to antenatal or newborn screening or living with screened-for conditions, and a thematic analysis of primary data collected with stakeholders about their experiences with screening.

Results

The literature searches identified 52,244 articles and reports, and 336 unique studies were included. Thematic framework resulted in seven themes: (1) diagnosis of screened for condition, (2) life-years and health status adjustments, (3) treatment, (4) long-term costs, (5) overdiagnosis, (6) pregnancy loss and (7) spillover effects on family members. Diagnosis of screened-for condition (115, 47.5%), life-years and health status adjustments (90, 37.2%) and treatment (88, 36.4%) accounted for most of the benefits and harms evaluating antenatal screening. The same themes accounted for most of the benefits and harms included in studies assessing newborn screening. Long-term costs, overdiagnosis and spillover effects tended to be ignored. The wide-reaching family implications of screening were considered important to stakeholders. We observed good overlap between the thematic framework and the qualitative evidence.

Limitations

Dual data extraction within the systematic literature review was not feasible due to the large number of studies included. It was difficult to recruit healthcare professionals in the stakeholder's interviews.

Conclusions

There is no consistency in the selection of benefits and harms used in health economic assessments in this area, suggesting that additional methods guidance is needed. Our proposed thematic framework can be used to guide the development of future health economic assessments evaluating antenatal and newborn screening programmes.

Study registration

This study is registered as PROSPERO CRD42020165236.

Funding

This award was funded by the National Institute for Health and Care Research (NIHR) Health Technology Assessment programme (NIHR award ref: NIHR127489) and is published in full in Health Technology Assessment; Vol. 28, No. 25. See the NIHR Funding and Awards website for further award information.

A Systematic Review of Value Criteria for Next-Generation Sequencing/Comprehensive Genomic Profiling to Inform Value Framework Development

OBJECTIVES

To comprehensively identify and map an exhaustive list of value criteria for the assessment of next-generation sequencing/comprehensive genomic profiling (NGS/CGP), to be used as an aid in decision making.

METHODS

We conducted a systematic review to identify existing value frameworks (VFs) applicable to any type of healthcare technology. VFs and criteria were mapped to a previously published Latin American (LA) VF to harmonize definitions and identify additional criteria and or subcriteria. Based on this analysis, we extracted a comprehensive, evidence-based list of criteria and subcriteria to be considered in the design of a NGS/CGP VF.

RESULTS

A total of 42 additional VFs were compared with the LA VF, 88% were developed in high-income countries, 30% targeted genomic testing, and 16% specifically targeted oncology. A total of 242 criteria and subcriteria were extracted; 227 (94%) were fully/partially included in the LA VF; and 15 (6%) were new. Clinical benefit and economic aspects were the most common criteria. VFs oriented to genomic testing showed significant overlap with other VFs. Considering all criteria and subcriteria, a total of 18 criteria and 36 individual subcriteria were identified.

CONCLUSIONS

Our study provides an evidence-based set of criteria and subcriteria for healthcare decision making useful for NGS/CGP as well as other health technologies. The resulting list can be beneficial to inform decision making and will serve as a foundation to co-create a multistakeholder NGS/CGP VF that is aligned with the needs and values of health systems and could help to improve patient access to high-value technologies.

Clinical Value of Molecular Targets and FDA-Approved Genome-Targeted Cancer Therapies

Importance

The number of new genome-targeted cancer drugs has increased, offering the possibility of personalized therapy, often at a very high cost.

Objective

To assess the validity of molecular targets and therapeutic benefits of US Food and Drug Administration-approved genome-targeted cancer drugs based on the outcomes of their corresponding pivotal clinical trials.

Design and Settings

In this cohort study, all genome-targeted cancer drugs that were FDA-approved between January 1, 2015, and December 31, 2022, were analyzed. From FDA drug labels and trial reports, key characteristics of pivotal trials were extracted, including the outcomes assessed.

Main Outcomes and Measures

The strength of evidence supporting molecular targetability was assessed using the European Society for Medical Oncology (ESMO) Scale for Clinical Actionability of Molecular Targets (ESCAT). Clinical benefit for their approved indications was evaluated using the ESMO-Magnitude of Clinical Benefit Scale (ESMO-MCBS). Substantial clinical benefit was defined as a grade of A or B for curative intent and 4 or 5 for noncurative intent. Molecular targets qualifying for ESCAT category level I-A and I-B associated with substantial clinical benefit by ESMO-MCBS were rated as high-benefit genomic-based cancer treatments.

Results

A total of 50 molecular-targeted drugs covering 84 indications were analyzed. Forty-five indications (54%) were approved based on phase 1 or phase 2 pivotal trials, 45 (54%) were supported by single-arm pivotal trials, and 48 (57%) were approved on the basis of subgroup analyses. By each indication, 46 of 84 primary end points (55%) were overall response rate (median [IQR] overall response rate, 57% [40%-69%]; median [IQR] duration of response, 11.1 [9.2-19.8] months). Among the 84 pivotal trials supporting these 84 indications, 38 trials (45%) had I-A ESCAT targetability, and 32 (38%) had I-B targetability. Overall, 24 of 84 trials (29%) demonstrated substantial clinical benefit via ESMO-MCBS. Combining these ratings, 24 of 84 indications (29%) were associated with high-benefit genomic-based cancer treatments.

Conclusions and Relevance

The results of this cohort study demonstrate that among recently approved molecular-targeted cancer therapies, fewer than one-third demonstrated substantial patient benefits at approval. Benefit frameworks such as ESMO-MCBS and ESCAT can help physicians, patients, and payers identify therapies with the greatest clinical potential.

Economic assessment of NGS testing workflow for NSCLC in a healthcare setting

Background

The molecular diagnostic and therapeutic pathway of Non-Small Cell Lung Cancer (NSCLC) stands as a successful example of precision medicine. The scarcity of material and the increasing number of biomarkers to be tested have prompted the routine application of next-generation-sequencing (NGS) techniques. Despite its undeniable advantages, NGS involves high costs that may impede its broad adoption in laboratories. This study aims to assess the detailed costs linked to the integration of NGS diagnostics in NSCLC to comprehend their financial impact.

Materials and methods

The retrospective analysis encompasses 210 cases of early and advanced stages NSCLC, analyzed with NGS and collected at the IRCCS San Gerardo dei Tintori Foundation (Monza, Italy). Molecular analyses were conducted on FFPE samples, with an hotspot panel capable of detecting DNA and RNA variants in 50 clinically relevant genes. The economic analysis employed a full-cost approach, encompassing direct and indirect costs, overheads, VAT (Value Added Tax).

Results

We estimate a comprehensive cost for each sample of €1048.32. This cost represents a crucial investment in terms of NSCLC patients survival, despite constituting only around 1% of the expenses incurred in their molecular diagnostic and therapeutic pathway.

Conclusions

The cost comparison between NGS test and the notably higher therapeutic costs highlights that the diagnostic phase is not the limiting economic factor. Developing NGS facilities structured in pathology networks may ensure appropriate technical expertise and efficient workflows.

[Cost of high-throughput sequencing (NGS) technologies: Literature review and insights]

Although high-throughput sequencing technologies (Next-Generation Sequencing [NGS]) are revolutionizing medicine, the estimation of their production cost for pricing/tariffication by health systems raises methodological questions. The objective of this review of cost studies of high-throughput sequencing techniques is to draw lessons for producing robust cost estimates of these techniques. We analyzed, using an eleven item analysis framework, micro-costing studies of high-throughput sequencing technologies (n=17), including two studies conducted in the French context. The factors of variability between the studies that we identified were temporality (early evaluation of the innovation vs. evaluation of a mature technology), the choice of cost evaluation method (scope, micro- vs. gross-costing technique), the choice of production steps observed and the transposability of these studies. The lessons we have learned are that it is necessary to have a comprehensive vision of the sequencing production process by integrating all the steps from the collection of the biological sample to the delivery of the result to the clinician. It is also important to distinguish between what refers to the local context and what refers to the general context, by favouring the use of mixed methods to calculate costs. Finally, sensitivity analyses and periodic re-estimation of the costs of the techniques must be carried out in order to be able to revise the tariffs according to changes linked to the diffusion of the technology and to competition between reagent suppliers.

System dynamics simulation for evaluating implementation strategies of genomic sequencing: tutorial and conceptual model

INTRODUCTION

Precision Medicine (PM), especially in oncology, involve diagnostic and complex treatment pathways that are based on genomic features. To conduct evaluation and decision analysis for PM, advanced modeling techniques are needed due to its complexity. Although System Dynamics (SD) has strong modeling power, it has not been widely used in PM and individualized treatment.

AREAS COVERED

We explained SD tools using examples in cancer context and the rationale behind using SD for genomic testing and personalized oncology. We compared SD with other Dynamic Simulation Modelling (DSM) methods and listed SD's advantages. We developed a conceptual model using Causal Loop Diagram (CLD) for strategic decision-making in Whole Genome Sequencing (WGS) implementation.

EXPERT OPINION

The paper demonstrates that SD is well-suited for health policy evaluation challenges and has useful tools for modeling precision oncology and genomic testing. SD's system-oriented modeling captures dynamic and complex interactions within systems using feedback loops. SD models are simple to implement, utilize less data and computational resources, and conduct both exploratory and explanatory analyses over time. If the targeted system has complex interactions and many components, deals with lack of data, and requires interpretability and clinicians' input, SD offers attractive advantages for modeling and evaluating scenarios.

QALYs and rare diseases: exploring the responsiveness of SF-6D, EQ-5D-5L and AQoL-8D following genomic testing for childhood and adult-onset rare genetic conditions in Australia

BACKGROUND

Genomic testing transforms the diagnosis and management of rare conditions. However, uncertainty exists on how to best measure genomic outcomes for informing healthcare priorities. Using the HTA-preferred method should be the starting point to improve the evidence-base. This study explores the responsiveness of SF-6D, EQ-5D-5L and AQoL-8D following genomic testing across childhood and adult-onset genetic conditions.

METHOD

Self-reported patient-reported outcomes (PRO) were obtained from: primary caregivers of children with suspected neurodevelopmental disorders (NDs) or genetic kidney diseases (GKDs) (carers' own PRO), adults with suspected GKDs using SF-12v2; adults with suspected complex neurological disorders (CNDs) using EQ-5D-5L; and adults with dilated cardiomyopathy (DCM) using AQol-8D. Responsiveness was assessed using the standardised response mean effect-size based on diagnostic (having a confirmed genomic diagnosis), personal (usefulness of genomic information to individuals or families), and clinical (clinical usefulness of genomic information) utility anchors.

RESULTS

In total, 254 people completed PRO measures before genomic testing and after receiving results. For diagnostic utility, a nearly moderate positive effect size was identified by the AQoL-8D in adult DCM patients. Declines in physical health domains masked any improvements in mental or psychosocial domains in parents of children affected by NDs and adult CNDs and DCM patients with confirmed diagnosis. However, the magnitude of the changes was small and we did not find statistically significant evidence of these changes. No other responsiveness evidence related to diagnostic, clinical, and personal utility of genomic testing was identified.

CONCLUSION

Generic PRO measures may lack responsiveness to the diagnostic, clinical and personal outcomes of genomics, but further research is needed to establish their measurement properties and relevant evaluative space in the context of rare conditions. Expected declines in the physical health of people experiencing rare conditions may further challenge the conventional application of quality of life assessments.

Toward Best Practices for Economic Evaluations of Tumor-Agnostic Therapies: A Review of Current Barriers and Solutions

OBJECTIVES

Cancer therapies targeting tumor-agnostic biomarkers are challenging traditional health technology assessment (HTA) frameworks. The high prevalence of nonrandomized single-arm trials, heterogeneity, and small benefiting populations are driving outcomes uncertainty, challenging healthcare decision making. We conducted a structured literature review to identify barriers and prioritize solutions to generating economic evidence for tumor-agnostic therapies.

METHODS

We searched MEDLINE and Embase for English-language studies conducting economic evaluations of tumor-agnostic treatments or exploring related challenges and solutions. We included studies published by December 2022 and supplemented our review with Canadian Agency for Drugs and Technologies in Health and National Institute for Health and Care Excellence technical reports for approved tumor-agnostic therapies. Three reviewers abstracted and summarized key methodological and empirical study characteristics. Challenges and solutions were identified through authors' statements and categorized using directed content analysis.

RESULTS

Twenty-six studies met our inclusion criteria. Studies spanned economic evaluations (n = 5), reimbursement reviews (n = 4), qualitative research (n = 1), methods validations (n = 3), and commentaries or literature reviews (n = 13). Challenges encountered related to (1) the treatment setting and clinical trial designs, (2) a lack of data or low-quality data on clinical and cost parameters, and (3) an inability to produce evidence that meets HTA guidelines. Although attempted solutions centered on analytic approaches for managing missing data, proposed solutions highlighted the need for real-world evidence combined with life-cycle HTA to reduce future evidentiary uncertainty.

CONCLUSIONS

Therapeutic innovation outpaces HTA evidence generation and the methods that support it. Existing HTA frameworks must be adapted for tumor-agnostic treatments to support future economic evaluations enabling timely patient access.

Defining Need Amid Exponential Change: Conceptual Challenges in Workforce Planning for Clinical Genetic Services

Rapid growth in the volume of referrals to clinical genetics services in many countries during the past 15 years makes workforce planning a critical policy tool in ensuring that the capacity of the clinical genetics workforce is large enough to meet current and future needs. This article explores the distinctive challenges of workforce planning in clinical genetics and provides recommendations for addressing these challenges using a needs-based planning approach. Specifically, at least 3 features complicate efforts to estimate the need for clinical genetic services: the difficulty in linking many clinical genetic services to concrete health outcomes; the rapidly changing nature of genetic medicine, which creates intrinsic uncertainty about the appropriate level of service; and the heightened relevance of patient preferences in this context. Our recommendations call for needs-based planning studies to include an explicit definition of necessary care, to be flexible in considering nonhealth benefits, to err on the side of including services currently funded by health systems even when evidence about outcomes is limited, and to use scenario analysis and expert input to explore the impact of uncertainty about patients' preferences and future technologies on estimates of workforce requirements.

Acquiring tissue for advanced lung cancer diagnosis and comprehensive biomarker testing: A National Lung Cancer Roundtable best-practice guide

Advances in biomarker-driven therapies for patients with nonsmall cell lung cancer (NSCLC) both provide opportunities to improve the treatment (and thus outcomes) for patients and pose new challenges for equitable care delivery. Over the last decade, the continuing development of new biomarker-driven therapies and evolving indications for their use have intensified the importance of interdisciplinary communication and coordination for patients with or suspected to have lung cancer. Multidisciplinary teams are challenged with completing comprehensive and timely biomarker testing and navigating the constantly evolving evidence base for a complex and time-sensitive disease. This guide provides context for the current state of comprehensive biomarker testing for NSCLC, reviews how biomarker testing integrates within the diagnostic continuum for patients, and illustrates best practices and common pitfalls that influence the success and timeliness of biomarker testing using a series of case scenarios.

Exploring uncertainty and use of real-world data in the National Institute for Health and Care Excellence single technology appraisals of targeted cancer therapy

OBJECTIVES

Dealing with uncertainty is one of the critical topics in health technology assessment. The greater decision uncertainty in appraisals, the less clear the clinical- and cost-effectiveness of the health technology. Although the development of targeted cancer therapies (TCTs) has improved patient health care, additional complexity has been introduced in drug appraisals due to targeting more specific populations. Real-world data (RWD) are expected to provide helpful information to fill the evidence gaps in appraisals. This study compared appraisals of TCTs with those of non-targeted cancer therapies (non-TCTs) regarding sources of uncertainty and reviewed how RWD have been used to supplement the information in these appraisals.

METHODS

This study reviews single technology appraisals (STAs) of oncology medicines performed by the National Institute for Health and Care Excellence (NICE) over 11 years up to December 2021. Three key sources of uncertainty were identified for comparison (generalisability of clinical trials, availability of direct treatment comparison, maturity of survival data in clinical trials). To measure the intensity of use of RWD in appraisals, three components were identified (overall survival, volume of treatment, and choice of comparators).

RESULTS

TCTs received more recommendations for provision through the Cancer Drugs Fund (27.7, 23.6% for non-TCT), whereas similar proportions were recommended for routine commissioning. With respect to sources of uncertainty, the external validity of clinical trials was greater in TCT appraisals (p = 0.026), whereas mature survival data were available in fewer TCT appraisals (p = 0.027). Both groups showed similar patterns of use of RWD. There was no clear evidence that RWD have been used more intensively in appraisals of TCT.

CONCLUSIONS

Some differences in uncertainty were found between TCT and non-TCT appraisals. The appraisal of TCT is generally challenging, but these challenges are neither new nor distinctive. The same sources of uncertainty were often found in the non-TCT appraisals. The uncertainty when appraising TCT stems from insufficient data rather than the characteristics of the drugs. Although RWD might be expected to play a more active role in appraisals of TCT, the use of RWD has generally been limited.

Benefits and harms adopted by health economic assessments evaluating antenatal and newborn screening programmes in OECD countries: A systematic review of 336 articles and reports

BACKGROUND

Health economic assessments are used to determine whether the resources needed to generate net benefit from a screening programme, driven by multiple complex benefits and harms, are justifiable. We systematically identified the benefits and harms incorporated within economic assessments evaluating antenatal and newborn screening programmes.

METHODS

For this systematic review and thematic analysis, we searched the published and grey literature from January 2000 to January 2021. Studies that included an economic evaluation of an antenatal or newborn screening programme in an OECD country were eligible. We identified benefits and harms using an integrative descriptive analysis, and illustrated a thematic framework. (Systematic review registration PROSPERO, CRD42020165236).

FINDINGS

The searches identified 52,244 articles and reports and 336 (242 antenatal and 95 newborn) were included. Eighty-six subthemes grouped into seven themes were identified: 1) diagnosis of screened for condition, 2) life years and health status adjustments, 3) treatment, 4) long-term costs, 5) overdiagnosis, 6) pregnancy loss, and 7) spillover effects on family members. Diagnosis of screened for condition (115 studies, 47.5%), life-years and health status adjustments (90 studies, 37.2%) and treatment (88 studies, 36.4%) accounted for most of the benefits and harms evaluating antenatal screening. The same themes accounted for most of the benefits and harms included in studies assessing newborn screening. Overdiagnosis and spillover effects tended to be ignored.

INTERPRETATION

Our proposed framework can be used to guide the development of future health economic assessments evaluating antenatal and newborn screening programmes, to prevent exclusion of important potential benefits and harms.

Cost-effectiveness frameworks for comparing genome and exome sequencing versus conventional diagnostic pathways: A scoping review and recommended methods

PURPOSE

Methodological challenges have limited economic evaluations of genome sequencing (GS) and exome sequencing (ES). Our objective was to develop conceptual frameworks for model-based cost-effectiveness analyses (CEAs) of diagnostic GS/ES.

METHODS

We conducted a scoping review of economic analyses to develop and iterate with experts a set of conceptual CEA frameworks for GS/ES for prenatal testing, early diagnosis in pediatrics, diagnosis of delayed-onset disorders in pediatrics, genetic testing in cancer, screening of newborns, and general population screening.

RESULTS

Reflecting on 57 studies meeting inclusion criteria, we recommend the following considerations for each clinical scenario. For prenatal testing, performing comparative analyses of costs of ES strategies and postpartum care, as well as genetic diagnoses and pregnancy outcomes. For early diagnosis in pediatrics, modeling quality-adjusted life years (QALYs) and costs over ≥20 years for rapid turnaround GS/ES. For hereditary cancer syndrome testing, modeling cumulative costs and QALYs for the individual tested and first/second/third-degree relatives. For tumor profiling, not restricting to treatment uptake or response and including QALYs and costs of downstream outcomes. For screening, modeling lifetime costs and QALYs and considering consequences of low penetrance and GS/ES reanalysis.

CONCLUSION

Our frameworks can guide the design of model-based CEAs and ultimately foster robust evidence for the economic value of GS/ES.

Continuing the sequence? Towards an economic evaluation of whole genome sequencing for the diagnosis of rare diseases in Scotland

Novel developments in genomic medicine may reduce the length of the diagnostic odyssey for patients with rare diseases. Health providers must thus decide whether to offer genome sequencing for the diagnosis of rare conditions in a routine clinical setting. We estimated the costs of singleton standard genetic testing and trio-based whole genome sequencing (WGS), in the context of the Scottish Genomes Partnership (SGP) study. We also explored what users value about genomic sequencing. Insights from the costing and value assessments will inform a subsequent economic evaluation of genomic medicine in Scotland. An average cost of £1,841 per singleton was estimated for the standard genetic testing pathway, with significant variability between phenotypes. WGS cost £6625 per family trio, but this estimate reflects the use of WGS during the SGP project and large cost savings may be realised if sequencing was scaled up. Patients and families valued (i) the chance of receiving a diagnosis (and the peace of mind and closure that brings); (ii) the information provided by WGS (including implications for family planning and secondary findings); and (iii) contributions to future research. Our costings will be updated to address limitations of the current study for incorporation in budget impact modelling and cost-effectiveness analysis (cost per diagnostic yield). Our insights into the benefits of WGS will guide the development of a discrete choice experiment valuation study. This will inform a user-perspective cost-benefit analysis of genome-wide sequencing, accounting for the broader non-health outcomes. Taken together, our research will inform the long-term strategic development of NHS Scotland clinical genetics testing services, and will be of benefit to others seeking to undertake similar evaluations in different contexts.

Evaluating the quality of the economic evidence in colorectal cancer genomics studies

The increase in the use of genome-based screening and diagnostic tests adds to the overall costs of oncologic care for colorectal cancer. This, in turn, has resulted in an increase in published economic analyses. Aim: To perform a systematic literature review of the available economic evidence evaluating the value of genomic testing for colorectal cancer and appraise the quality of the economic studies conducted to date. Methods: A systematic review of the literature for economic studies of colorectal cancer genomics from January 2006 through October 2020, and evaluation of study quality using the Quality of Health Economic Studies (QHES) instrument was conducted. The validated QHES was then applied to a final set of articles that met eligibility criteria. Results: Our search of the literature initially yielded 12,859 records. A final set of 49 articles met our inclusion criteria. The QHES score ranged from 24 to 100, with an average score of 82. Most of the studies (n = 40, 82%) scored above 75 and were considered of good quality. Conclusion: Our analysis revealed that most of the economic analyses of colorectal cancer genomic molecular diagnostics in the literature may be of good quality. There is, however, some variation in methodological rigor between the articles.

Accounting for Intergenerational Cascade Testing in Economic Evaluations of Clinical Genomics: A Scoping Review

OBJECTIVES

Clinical genomics is emerging as a diagnostic tool in the identification of blood relatives at risk of developing heritable diseases. Our objective was to identify how genetic cascade screening has been incorporated into health economic evaluations.

METHODS

A scoping review was conducted to identify how multiple generations of a family were included in economic evaluations of clinical genomic sequencing, how many and which relatives were included, and uptake rates. Databases were searched for full economic evaluations of genetic interventions that screened multiple generations of families and were in English language, and no restrictions were made for disease or publication type. Data were synthesized using a narrative approach.

RESULTS

Twenty-five studies were included covering a range of diseases in various countries. Markov cohort models were mostly used with hypothetical populations and unsupported by clinical evidence. Cascade testing was either the primary intervention or secondary to the index cases. The number and type of relatives were based on assumptions or identified through population or family records, clinical registry data, or clinical literature. Studies included only immediate family members and the uptake of testing ranged between 20% and 100%. All interventions were reported as cost-effective, and a higher number of relatives was a key driver.

CONCLUSIONS

Several economic evaluations have considered the impacts of cascade testing interventions within clinical genomics. Ideally, models supported with high-quality clinical data are needed and, in their absence, transparent and justifiable assumptions of uptake rates and choices about including relatives. Consideration of more appropriate modeling types is required.

Health economic evidence for the use of molecular biomarker tests in hematological malignancies: A systematic review

Objectives

Molecular biomarker tests can inform the clinical management of genomic heterogeneous hematological malignancies, yet their availability in routine care largely depends on the supporting health economic evidence. This study aims to systematically review the economic evidence for recent molecular biomarker tests in hematological malignancies.

Methods

We conducted a systematic search in five electronic databases for studies published between January 2010 and October 2020. Publications were independently screened by two reviewers. Clinical study characteristics, economic methodology, and results were extracted, and reporting quality was assessed.

Results

Fourteen studies were identified, of which half (n = 7; 50%) were full economic evaluations examining both health and economic outcomes. Studies were predominantly conducted in a first‐line treatment setting (n = 7; 50%) and adopted a non‐lifetime time horizon to measure health outcomes and costs (n = 7; 50%). Five studies reported that companion diagnostics for associated therapies were likely cost‐effective for acute myeloid leukemia, chronic myeloid leukemia, diffuse large B‐cell lymphoma, and multiple myeloma. Four studies suggested molecular biomarker tests for treatment monitoring in chronic myeloid leukemia were likely cost‐saving.

Conclusions

Although there is initial confirmation of the promising health economic results, the present research for molecular biomarker tests in hematological malignancies is sparse with many applications of technological advances yet to be evaluated.

Developing a dynamic simulation model to support the nationwide implementation of whole genome sequencing in lung cancer

BACKGROUND

This study shows how dynamic simulation modeling can be applied in the context of the nationwide implementation of Whole Genome Sequencing (WGS) for non-small cell lung cancer (NSCLC) to inform organizational decisions regarding the use of complex and disruptive health technologies and how these decisions affect their potential value.

METHODS

Using the case of the nationwide implementation of WGS into clinical practice in lung cancer in the Dutch healthcare system, we developed a simulation model to show that including service delivery features across the diagnostic pathway can provide essential insight into the affordability and accessibility of care at the systems level. The model was implemented as a hybrid Agent-Based Model and Discrete-Event Simulation model in AnyLogic and included 78 hospital agents, 7 molecular tumor board agents, 1 WGS facility agent, and 5313 patient agents each year in simulation time.

RESULTS

The model included patient and provider heterogeneity, including referral patterns, capacity constraints, and diagnostic workflows. Patient preference and adoption by healthcare professionals were also modeled. The model was used to analyze a scenario in which only academic hospitals have implemented WGS. To prevent delays in the diagnostic pathway, the capacity to sequence at least 1600 biopsies yearly should be present. There is a two-fold increase in mean diagnostic pathway duration between no patients referred or all patients referred for further diagnostics.

CONCLUSIONS

The systems model can complement conventional health economic evaluations to investigate how the organization of the workflow can influence the actual use and impact of WGS. Insufficient capacity to provide WGS and referral patterns can substantially impact the duration of the diagnostic pathway and thus should be considered in the implementation of WGS.

Four Aspects Affecting Health Economic Decision Models and Their Validation

Health care decision makers in many jurisdictions use cost-effectiveness analysis based on health economic decision models for policy decisions regarding coverage and price negotiation for medicines and medical devices. While validation of health economic decision models has always been considered important, many reviews of model-based cost-effectiveness studies report limitations regarding their validation. The current opinion paper discusses four aspects of current health economic decision modeling with relevance for future directions in model validation: increased use of complex models, international cooperation, open-source modeling, and stakeholder involvement. First, new, more complex clinical study designs and treatment strategies may require relatively complex model structures and/or input data analyses. Simultaneously, more widespread technical knowledge along with wider data availability have led to a broader range of model types. This puts extra requirements on model validation and transparency. Second, increased international cooperation of policy makers and, in particular, health technology assessment (HTA) authorities in performing model assessments is discussed in relation to the repeated use of health economic models (multi-use disease models). We argue such coordinated efforts may benefit model validity. Third, open-source modeling is discussed as one possible answer to increased transparency requirements. Finally, involvement of all relevant stakeholders throughout the whole decision process is an ongoing development that necessarily also includes health economic modeling. We argue this implies that model validity should be considered in a broader perspective, with more focus on conceptual modeling, model transparency, accuracy requirements, and choice of relevant model outcomes than previously.

The Value of Genomic Testing: A Contingent Valuation Across Six Child- and Adult-Onset Genetic Conditions

OBJECTIVES

The aim of this study was to elicit the willingness-to-pay (WTP) for genomic testing, using contingent valuation, among people with lived experience of genetic conditions in Australia.

METHODS

Parents of children with suspected mitochondrial disorders, epileptic encephalopathy, leukodystrophy, or malformations of cortical development completed a dynamic triple-bounded dichotomous choice (DC) contingent valuation. Adult patients or parents of children with suspected genetic kidney disease or complex neurological and neurodegenerative conditions completed a payment card (PC) contingent valuation. DC data were analyzed using a multilevel interval regression and a multilevel probit model. PC data were analyzed using a Heckman selection model.

RESULTS

In total, 360 individuals participated in the contingent valuation (CV), with 141 (39%) and 219 (61%) completing the DC and PC questions, respectively. The mean WTP for genomic testing was estimated at AU$2830 (95% confidence interval [CI] 2236-3424) based on the DC data and AU$1914 (95% CI 1532-2296) based on the PC data. The mean WTP across the six cohorts ranged from AU$1879 (genetic kidney disease) to AU$4554 (leukodystrophy).

CONCLUSIONS

Genomic testing is highly valued by people experiencing rare genetic conditions. Our findings can inform cost-benefit analyses and the prioritization of genomics into mainstream clinical care. While our WTP estimates for adult-onset genetic conditions aligned with estimates derived from discrete choice experiments (DCEs), for childhood-onset conditions our estimates were significantly lower. Research is urgently required to directly compare, and critically evaluate, the performance of CV and DCE methods.

What Has the Undiagnosed Diseases Network Taught Us About the Clinical Applications of Genomic Testing?

Genetic testing has undergone a revolution in the last decade, particularly with the advent of next-generation sequencing and its associated reductions in costs and increases in efficiencies. The Undiagnosed Diseases Network (UDN) has been a leader in the application of such genomic testing for rare disease diagnosis. This review discusses the current state of genomic testing performed within the UDN, with a focus on the strengths and limitations of whole-exome and whole-genome sequencing in clinical diagnostics and the importance of ongoing data reanalysis. The role of emerging technologies such as RNA and long-read sequencing to further improve diagnostic rates in the UDN is also described. This review concludes with a discussion of the challenges faced in insurance coverage of comprehensive genomic testing as well as the opportunities for a larger role of testing in clinical medicine.

Economic evaluation of genomic/genetic tests: a review and future directions

It has been suggested that health economists need to improve their methods in order to meet the challenges of evaluating genomic/genetic tests. In this article, we set out twelve challenges identified from a rapid review of the literature and suggest solutions to the challenges identified. Two challenges were common to all economic evaluations: choice of perspective and time-horizon. Five challenges were relevant for all diagnostic technologies: complexity of analysis; range of costs; under-developed evidence base; behavioral aspects; and choice of outcome metrics. The final five challenges were pertinent for genomic tests and only these may require methodological development: heterogeneity of tests and platforms, increasing stratification, capturing personal utility; incidental findings; and spillover effects. Current methods of economic evaluation are generally able to cope with genomic/genetic tests, although a renewed focus on specific decision-makers’ needs and a willingness to move away from cost-utility analysis may be required. Certain analysts may be constrained by reference cases developed primarily for the assessment of pharmaceuticals. The combined impact of multiple challenges may require analysts to be particularly careful in setting the scope of their analysis in order to ensure that feasibility is balanced with usefulness to the decision maker. A key issue is the under-developed evidence-base and it may be necessary to rethink translation processes to ensure sufficient, relevant evidence is available to support economic evaluation and adoption of genomic/genetic tests.

Cost-effectiveness of precision cancer medicine-current challenges in the use of next generation sequencing for comprehensive tumour genomic profiling and the role of clinical utility frameworks (Review)

Precision cancer medicine (PCM) is an emerging paradigm in oncology, which includes tumour comprehensive genomic profiling (CGP) to enable molecularly guided therapy. However, cost-effectiveness analyses of PCM are faced with several challenges and, thus, its cost-effectiveness remains unclear. Early trials using only molecularly guided therapy were faced with the challenge of providing adequate measures of outcome, which probably explains the modest treatment benefits demonstrated. Endpoints like the progression-free survival (PFS)2/PFS1 ratio may assist in overcoming this issue. Moreover, specific tumour subtypes appear to benefit more from PCM. Costs associated with next-generation sequencing (NGS) for CGP are decreasing, but targeted therapy itself represents a major cost driver. CGP not only enables prediction of response to treatment, but also resistance, and could thus prevent administration of unnecessary (and costly) therapies. In clinical practice, the presence of clinical frameworks, such as the Recommendations for the Use of NGS for Patients with Metastatic Cancers from the ESMO Precision Medicine Working Group, and the ESMO Scale for Clinical Actionability of Molecular Targets, are essential in appropriately identifying situations where PCM is clinically meaningful, thereby improving its cost-effectiveness.

Genome sequencing among children with medical complexity: What constitutes value from parents' perspective?

Genome sequencing (GS) has demonstrated high diagnostic yield in pediatric patients with complex, clinically heterogeneous presentations. Emerging evidence shows generally favorable experiences for patients and families receiving GS. As a result, implementation of GS in pediatrics is gaining momentum. To inform implementation, we conducted a qualitative study to explore the personal utility of GS for parents of children with medical complexity (CMC). GS was performed at an academic tertiary-care center for CMC for whom a genetic etiology was suspected. Following the return of GS results, semi-structured interviews were conducted with 14 parents about their child's diagnostic journey. Of the children whose parents were interviewed, six children received a diagnosis, two received a possible diagnosis, and six did not receive a diagnosis. A predominantly deductive thematic analysis approach to the interview data was used by applying Kohler's personal utility framework to understand affective, cognitive, behavioral and social impacts of GS. Both the diagnosed and undiagnosed groups experienced enhanced emotion-focused coping (affective). The diagnosed group experienced favorable utility related to knowledge of condition (cognitive) and communication with relatives (behavioral). A domain beyond Kohler's framework related to the presence or absence of GS impact on medical management was also described by parents. The deployment of GS late in the diagnostic odyssey and the limited knowledge available for the rare genetic disorders diagnosed in this cohort appeared to diminish the perceived utility of GS. As GS capabilities continue to evolve at a rapid pace and become available earlier in the diagnostic journey, it is important to consider the impact and timing of testing on parents of CMC.

Evaluating genetic and genomic tests for heritable conditions in Australia: lessons learnt from health technology assessments

The Medical Services Advisory Committee (MSAC) is an independent non-statutory committee established by the Australian government to provide recommendations on public reimbursement of technologies and services, other than pharmaceuticals. MSAC has established approaches for undertaking health technology assessment (HTA) of investigative services and codependent technologies. In 2016, MSAC published its clinical utility card (CUC) Proforma, an additional tool to guide assessments of genetic testing for heritable conditions. We undertook a review and narrative synthesis of information extracted from all MSAC assessments of genetic testing for heritable conditions completed since 2016, regardless of the HTA approach taken. Ten assessments met our inclusion criteria, covering a range of testing methods (from gene panels to whole-exome sequencing) and purposes (including molecular diagnosis, genetic risk assessment, identification of congenital anomaly syndromes, and carrier screening). This analysis identified a range of methodological and policy challenges such as how to incorporate patient and societal preferences for the health and non-health outcomes of genomic testing, how best to capture the concept of co-production of utility, and how to engage clinicians as referrers for genomics tests whilst at the same time ensuring equity of access to a geographically dispersed population. A further challenge related to how qualitative assessments of patient and community needs influenced the evidence thresholds against which decisions were made. These concepts should be considered for incorporation within the value assessment frameworks used by HTA agencies around the world.

Methods for evaluating the benefits and harms of antenatal and newborn screening programmes adopted by health economic assessments: protocol for a systematic review

INTRODUCTION

Complex organisational arrangements are required to deliver antenatal and newborn screening programmes. Decision-makers consider the benefits and harms of screening when reviewing the evidence about these programmes. Economic evaluations contribute one important part of this assessment process. However, it is not fully understood what approaches health economic assessments have adopted to measure and value benefits and harms. This study aims to systematically review and critique the published and grey literature on methods for identifying, measuring and valuing the benefits and harms of antenatal and newborn screening adopted by health economic assessments.

METHODS AND ANALYSIS

Nine bibliographic databases will be searched from 2000 onwards. These search strategies will be supplemented by manual reference searching of bibliographies, forward citation searching, contacts with experts, author searching and web searching for grey literature. Studies will be selected for review if they report health economic assessments of an antenatal or newborn screening programme. Assessments of title and abstracts and full reports will be undertaken independently with disagreements resolved through discussion. Data extraction will include fields to assess the reporting quality of the studies using the Consolidated Health Economic Evaluation Reporting Standards statement and a bespoke ancillary form to assess how benefits and harms have been accounted for.

ETHICS AND DISSEMINATION

This is an evidence synthesis review from already published materials and hence ethics committee approval or written informed consent will not be required. Our results will be disseminated by publishing in high-impact peer-review journals and presenting at relevant conferences.

PROSPERO REGISTRATION NUMBER

CRD42020165236.

Guidance for the Harmonisation and Improvement of Economic Evaluations of Personalised Medicine

OBJECTIVE

The objective of this study was to develop guidance contributing to improved consistency and quality in economic evaluations of personalised medicine (PM), given current ambiguity about how to measure the value of PM as well as considerable variation in the methodology and reporting in economic evaluations of PM.

METHODS

A targeted literature review of methodological papers was performed for an overview of modelling challenges in PM. Expert interviews were held to discuss best modelling practice. A systematic literature review of economic evaluations of PM was conducted to gain insight into current modelling practice. The findings were synthesised and used to develop a set of draft recommendations. The draft recommendations were discussed at a stakeholder workshop and subsequently finalised.

RESULTS

Twenty-two methodological papers were identified. Some argued that the challenges in modelling PM can be addressed within existing methodological frameworks, others disagreed. Eighteen experts were interviewed. They believed large uncertainty to be a key concern. Out of 195 economic evaluations of PM identified, 56% addressed none of the identified modelling challenges. A set of 23 recommendations was developed. Eight recommendations focus on the modelling of test-treatment pathways. The use of non-randomised controlled trial data is discouraged but several recommendations are provided in case randomised controlled trial data are unavailable. The parameterisation of structural uncertainty is recommended. Other recommendations consider perspective and discounting; premature survival data; additional value elements; patient and clinician compliance; and managed entry agreements.

CONCLUSIONS

This study provides a comprehensive list of recommendations to modellers of PM and to evaluators and reviewers of PM models.

Genomic sequencing for the diagnosis of childhood mitochondrial disorders: a health economic evaluation

The diagnostic and clinical benefits of genomic sequencing are being increasingly demonstrated across multiple rare genetic conditions. Despite the expanding clinical literature, there is a significant paucity of health economics evidence to inform the prioritization and implementation of genomic sequencing. This study aims to evaluate whether genomic sequencing for pediatric-onset mitochondrial disorders (MDs) is cost-effective and cost-beneficial relative to conventional care from an Australian healthcare system perspective. Two independent and complementary health economic modeling approaches were used. Approach 1 used a decision tree to model the costs and outcomes associated with genomic sequencing and conventional care. Approach 2 used a discrete-event simulation to incorporate heterogeneity in the condition and clinical practice. Deterministic and probabilistic sensitivity analyses were performed. Genomic sequencing was less costly and more effective compared with conventional care, saving AU$1997 (Approach 1) to AU$8823 (Approach 2) per child tested, while leading to an additional 11 (Approach 1) to 14 (Approach 2) definitive diagnoses per 100 children tested. The mean monetary value of the incremental benefits of genomic sequencing was estimated at AU$5890 (95% CI: AU$5730-$6046). Implementation of genomic sequencing for MDs in Australia could translate to an annual cost-saving of up to AU$0.7 million. Genomic sequencing is cost-saving relative to traditional investigative approaches, while enabling more diagnoses to be made in a timely manner, offering substantial personal benefits to children and their families. Our findings support the prioritization of genomic sequencing for children with MDs.

Early technology assessment of using whole genome sequencing in personalized oncology

Introduction: Personalized medicine-based treatments in advanced cancer hold the promise to offer substantial health benefits to genetic subgroups, but require efficient biomarker-based patient stratification to match the right treatment and may be expensive. Standard molecular diagnostics are currently very heterogeneous, and tests are often performed sequentially. The alternative to whole genome sequencing (WGS) i.e. simultaneously testing for all relevant DNA-based biomarkers thereby allowing immediate selection of the most optimal therapy, is more costly than current techniques. In the current implementation stage, it is important to explore the added value and cost-effectiveness of using WGS on a patient level and to assess optimal introduction of WGS on the level of the healthcare system.Areas covered: First, an overview of current worldwide initiatives concerning the use of WGS in clinical practice for cancer diagnostics is given. Second, a comprehensive, early health technology assessment (HTA) approach of evaluating WGS in the Netherlands is described, relating to the following aspects: diagnostic value, WGS-based treatment decisions, assessment of long-term health benefits and harms, early cost-effectiveness modeling, nation-wide organization, and Ethical, Legal and Societal Implications.Expert opinion: This study provides evidence to guide further development and implementation of WGS in clinical practice and the healthcare system.

Next-Generation Sequencing in Clinical Practice: Is It a Cost-Saving Alternative to a Single-Gene Testing Approach?

OBJECTIVES

This study aimed to compare the costs of a next-generation sequencing-based (NGS-based) panel testing strategy to those of a single-gene testing-based (SGT-based) strategy, considering different scenarios of clinical practice evolution.

METHODS

Three Italian hospitals were analysed, and four different testing pathways (paths 1, 2, 3, and 4) were identified: two for advanced non-small-cell lung cancer (aNSCLC) patients and two for unresectable metastatic colon-rectal cancer (mCRC) patients. For each path, we explored four scenarios considering the current clinical practice and its expected evolution. The 16 testing cases (4 scenarios × 4 paths) were then compared in terms of differential costs between the NGS-based and SGT-based approaches considering personnel, consumables, equipment, and overhead costs. Break-even and sensitivity analyses were performed. Data gathering, aimed at identifying the hospital setup, was performed through a semi-structured questionnaire administered to the professionals involved in testing activities.

RESULTS

The NGS-based strategy was found to be a cost-saving alternative to the SGT-based strategy in 15 of the 16 testing cases. The break-even threshold, the minimum number of patients required to make the NGS-based approach less costly than the SGT-based approach, varied across the testing cases depending on molecular alterations tested, techniques adopted, and specific costs. The analysis found the NGS-based approach to be less costly than the SGT-based approach in nine of the 16 testing cases at any volume of tests performed; in six cases, the NGS-based approach was found to be less costly above a threshold (and in one case, it was found to be always more expensive). Savings obtained using an NGS-based approach ranged from €30 to €1249 per patient; in the unique testing case where NGS was more costly, the additional cost per patient was €25.

CONCLUSIONS

An NGS-based approach may be less costly than an SGT-based approach; also, generated savings increase with the number of patients and different molecular alterations tested.

Practical considerations in screening for genetic alterations in cholangiocarcinoma

Cholangiocarcinoma (CCA) encompasses diverse epithelial tumors historically associated with poor outcomes due to an aggressive disease course, late diagnosis, and limited benefit of standard chemotherapy for advanced disease. Comprehensive molecular profiling has revealed a diverse landscape of genomic alterations as oncogenic drivers in CCA. TP53 mutations, CDKN2A/B loss, and KRAS mutations are the most common genetic alterations in CCA. However, intrahepatic CCA (iCCA) and extrahepatic CCA (eCCA) differ substantially in the frequency of many alterations. This includes actionable alterations, such as isocitrate dehydrogenase 1 (IDH1) mutations and a large variety of FGFR2 rearrangements, which are found in up to 29% and ∼10% of patients with iCCA, respectively, but are rare in eCCA. FGFR2 rearrangements are currently the only genetic alteration in CCA for which a targeted therapy, the fibroblast growth factor receptor 1-3 inhibitor pemigatinib, has been approved. However, favorable phase III results for IDH1-targeted therapy with ivosidenib in iCCA have been published, and numerous other alterations are actionable by targeted therapies approved in other indications. Recent advances in next-generation sequencing (NGS) have led to the development of assays that allow comprehensive genomic profiling of large gene panels within 2-3 weeks, including in vitro diagnostic tests approved in the United States. These assays vary regarding acceptable source material (tumor tissue or peripheral whole blood), genetic source for library construction (DNA or RNA), target selection technology, gene panel size, and type of detectable genomic alterations. While some large commercial laboratories offer rapid and comprehensive genomic profiling services based on proprietary assay platforms, clinical centers may use commercial genomic profiling kits designed for clinical research to develop their own customized laboratory-developed tests. Large-scale genomic profiling based on NGS allows for a detailed and precise molecular diagnosis of CCA and provides an important opportunity for improved targeted treatment plans tailored to the individual patient's genetic signature.

Utility of Genetic Testing from the Perspective of Parents/Caregivers: A Scoping Review

In genomics, perceived and personal utility have been proposed as constructs of value that include the subjective meanings and uses of genetic testing. Precisely what constitutes these constructs of utility and how they vary by stakeholder perspective remains unresolved. To advance methods for measuring the value of genetic testing in child health, we conducted a scoping review of the literature to characterize utility from the perspective of parents/caregivers. Peer reviewed literature that included empiric findings from parents/caregivers who received genetic test results for an index child and was written in English from 2016-2020 was included. Identified concepts of utility were coded according to Kohler's construct of personal utility. Of 2142 abstracts screened, 33 met inclusion criteria. Studies reflected a range of genetic test types; the majority of testing was pursued for children with developmental or neurodevelopmental concerns. Coding resulted in 15 elements of utility that mapped to Kohler's four domains of personal utility (affective, cognitive, behavioural and social) and one additional medical management domain. An adapted construct of utility for parents/caregivers may enable specific and standardized strategies for researchers to use to generate evidence of the post-test value of genetic testing. In turn, this will contribute to emerging methods for health technology assessment and policy decision making for genomics in child health.

Clinical utility of genomic sequencing: a measurement toolkit

Whole-genome sequencing (WGS) is positioned to become one of the most robust strategies for achieving timely diagnosis of rare genomic diseases. Despite its favorable diagnostic performance compared to conventional testing strategies, routine use and reimbursement of WGS are hampered by inconsistencies in the definition and measurement of clinical utility. For example, what constitutes clinical utility for WGS varies by stakeholder's perspective (physicians, patients, families, insurance companies, health-care organizations, and society), clinical context (prenatal, pediatric, critical care, adult medicine), and test purpose (diagnosis, screening, treatment selection). A rapidly evolving technology landscape and challenges associated with robust comparative study design in the context of rare disease further impede progress in this area of empiric research. To address this challenge, an expert working group of the Medical Genome Initiative was formed. Following a consensus-based process, we align with a broad definition of clinical utility and propose a conceptually-grounded and empirically-guided measurement toolkit focused on four domains of utility: diagnostic thinking efficacy, therapeutic efficacy, patient outcome efficacy, and societal efficacy. For each domain of utility, we offer specific indicators and measurement strategies. While we focus on diagnostic applications of WGS for rare germline diseases, this toolkit offers a flexible framework for best practices around measuring clinical utility for a range of WGS applications. While we expect this toolkit to evolve over time, it provides a resource for laboratories, clinicians, and researchers looking to characterize the value of WGS beyond the laboratory.

Comprehensive genomic profiling for non-small-cell lung cancer: health and budget impact

Background

Single-gene tests and hotspot panels targeting specific subsets of biomarkers constitute the Canadian genomic testing landscape for non-small-cell lung cancer (nsclc). However, newer testing options such as comprehensive genomic profiling (cgp) offer improved detection rates and identification of multiple classes of genomic alterations in a single assay, minimizing tissue requirements and turnaround time. The objective of the present analysis was to assess the health and budget impacts of adopting cgp testing for nsclc in Canada.

Methods

This study assessed the impact of funding the cgp tests FoundationOne CDx and FoundationOne Liquid (Foundation Medicine, Cambridge, MA, U.S.A.) over a 3-year time horizon using a Canadian societal perspective for Ontario. Conventional testing strategies were summarized into two reference scenarios: a series of single-gene tests only, and reflex single-gene testing followed by a hotspot panel for negative results. Four adoption scenarios for cgp testing were considered: replacing all single-gene and hotspot panel testing, replacing hotspot panel testing only, use after negative single-gene and hotspot testing, and use of FoundationOne Liquid in individuals with insufficient tissue for conventional testing.

Results

When cgp testing was assumed to replace all conventional testing with 50% uptake, the budget impact per person per year ranged from $0.71 to $0.87, depending on the reference scenario, with a 3-year gain of 680.9 life-years and 3831 working days over the full cohort.

Conclusions

Given the present testing landscape for patients with nsclc in Canada, listing cgp testing could optimize the selection of appropriately targeted treatments, and thus add life-years and productivity for this population, with a minimal budget impact.

Recommendations for the use of next-generation sequencing (NGS) for patients with metastatic cancers: a report from the ESMO Precision Medicine Working Group

Next-generation sequencing (NGS) allows sequencing of a high number of nucleotides in a short time frame at an affordable cost. While this technology has been widely implemented, there are no recommendations from scientific societies about its use in oncology practice. The European Society for Medical Oncology (ESMO) is proposing three levels of recommendations for the use of NGS. Based on the current evidence, ESMO recommends routine use of NGS on tumour samples in advanced non-squamous non-small-cell lung cancer (NSCLC), prostate cancers, ovarian cancers and cholangiocarcinoma. In these tumours, large multigene panels could be used if they add acceptable extra cost compared with small panels. In colon cancers, NGS could be an alternative to PCR. In addition, based on the KN158 trial and considering that patients with endometrial and small-cell lung cancers should have broad access to anti-programmed cell death 1 (anti-PD1) antibodies, it is recommended to test tumour mutational burden (TMB) in cervical cancers, well- and moderately-differentiated neuroendocrine tumours, salivary cancers, thyroid cancers and vulvar cancers, as TMB-high predicted response to pembrolizumab in these cancers. Outside the indications of multigene panels, and considering that the use of large panels of genes could lead to few clinically meaningful responders, ESMO acknowledges that a patient and a doctor could decide together to order a large panel of genes, pending no extra cost for the public health care system and if the patient is informed about the low likelihood of benefit. ESMO recommends that the use of off-label drugs matched to genomics is done only if an access programme and a procedure of decision has been developed at the national or regional level. Finally, ESMO recommends that clinical research centres develop multigene sequencing as a tool to screen patients eligible for clinical trials and to accelerate drug development, and prospectively capture the data that could further inform how to optimise the use of this technology.

Costs of in-house genomic profiling and implications for economic evaluation: a case example of non-small cell lung cancer (NSCLC)

OBJECTIVES

Genomic profiling in oncology is vital for determining eligible patients for mutation-specific targeted therapies. Use of commercial genomic testing has the potential to improve patient outcomes. Economic evaluations of in-house genomic profiling typically only include material costs while external commercial services include many other factors. Using non-small cell lung cancer (NSCLC) as an example, this study sought to characterize the unique challenges of costing testing services and their impact on results of economic evaluations.

METHODS

Structured interviews with Canadian oncologists, pathologists, and laboratory directors were conducted to identify material and non-material costs associated with genomic-testing laboratories to allow estimation of a more complete cost of in-house testing, with NSCLC cost-per-test calculated using annual operational costs and NSCLC-specific testing volume. A health and budget impact model of in-house versus external commercial profiling services was used to compare the impact of non-material costs on results.

RESULTS

In-house testing costs, limited to materials, was $133/single-gene test and $1,400/panel. For a laboratory running 1,300 in-house tests/year, total annual non-material costs included equipment maintenance ($6,842), labor ($502,313; technicians, administrative, and medical staff), shipping/reporting and software updates ($146,050), for an additional $519/test. The combined cost of $652/single-gene and $1,919/panel was compared to a cost of $6,194 for a commercial external test. Based on current Canadian testing patterns and anticipated utilization of external testing, inclusion of in-house non-material costs reduced the estimated 3-year budget impact by 12%.

CONCLUSION

When conducting economic evaluation to assess the value of introducing external tests, it is critical that non-material costs of standard testing strategies be measured and incorporated.

Health-care practitioners' preferences for the return of secondary findings from next-generation sequencing: a discrete choice experiment

PURPOSE

Health-care practitioners' (HCPs) preferences for returning secondary findings (SFs) will influence guideline compliance, shared decision-making, and patient health outcomes. This study aimed to estimate HCPs' preferences and willingness to support the return (WTSR) of SFs in Canada.

METHODS

A discrete choice experiment estimated HCPs' preferences for the following attributes: disease risk, clinical utility, health consequences, prior experience, and patient preference. We analyzed responses with an error component mixed logit model and predicted WTSR using scenario analyses.

RESULTS

Two hundred fifty participants of 583 completed the questionnaire (completion rate: 42.9%). WTSR was significantly influenced by patient preference and SF outcome characteristics. HCPs' WTSR was 78% (95% confidence interval: 74-81%) when returning SFs with available medical treatment, high penetrance, severe health consequences, and patient's preference for return. Genetics professionals had a higher WTSR than HCPs of other types when returning SFs with clinical utility and patient preference to know. HCPs >55 years of age were more likely to return SFs compared with younger HCPs.

CONCLUSION

This study identified factors that influence WTSR of SFs and indicates that HCPs make tradeoffs between patient preference and other outcome characteristics. The results can inform clinical scenarios and models aiming to understand shared decision-making, patient and family opportunity to benefit, and cost-effectiveness.

Impact of Next Generation Sequencing on Clinical Practice in Oncology in France: Better Genetic Profiles for Patients Improve Access to Experimental Treatments

OBJECTIVES

We evaluated how next generation sequencing (NGS) can modify care pathways in an observational impact study in France.

METHODS

All patients with lung cancer, colorectal cancer, or melanoma who had NGS analyses of somatic genomic alterations done in 1 of 7 biomolecular platforms certified by the French National Cancer Institute (INCa) between 2013 and 2016 were eligible. We compared patients' pathways before and after their NGS results. Endpoints consisted of the turnaround time in obtaining results, the number of patients with at least 1 genomic alteration identified, the number of actionable alterations, the impact of the genomic multidisciplinary tumor board on care pathways, the number of changes in the treatment plan, and the survival outcome up to 1 year after NGS analyses.

RESULTS

1213 patients with a request for NGS analysis were included. NGS was performed for 1155 patients, identified at least 1 genomic alteration for 867 (75%), and provided an actionable alteration for 614 (53%). Turnaround time between analyses and results was on average 8 days (Min: 0; Max: 95) for all cancer types. Before NGS analysis, 33 of 614 patients (5%) were prescribed a targeted therapy compared with 54 of 614 patients (8%) after NGS analysis. Proposition of inclusion in clinical trials with experimental treatments increased from 5% (n = 31 of 614) before to 28% (n = 178 of 614) after NGS analysis. Patients who benefited from a genotype matched treatment after NGS analysis tended to have a better survival outcome at 1 year than patients with nonmatched treatment: 258 days (±107) compared with 234 days (±106), (P = .41).

CONCLUSIONS

NGS analyses resulted in a change in patients' care pathways for 20% of patients (n = 232 of 1155).

Patient-specific multi-omics models and the application in personalized combination therapy

The rapid advancement of high-throughput technologies and sharp decrease in cost have opened up the possibility to generate large amount of multi-omics data on an individual basis. The development of high-throughput -omics, including genomics, epigenomics, transcriptomics, proteomics, metabolomics and microbiomics, enables the application of multi-omics technologies in the clinical settings. Combination therapy, defined as disease treatment with two or more drugs to achieve efficacy with lower doses or lower drug toxicity, is the basis for the care of diseases like cancer. Patient-specific multi-omics data integration can help the identification and development of combination therapies. In this review, we provide an overview of different -omics platforms, and discuss the methods for multi-omics, high-throughput, data integration, personalized combination therapy.

The personal utility and uptake of genomic sequencing in pediatric and adult conditions: eliciting societal preferences with three discrete choice experiments

Purpose

To estimate the personal utility and uptake of genomic sequencing (GS) across pediatric and adult-onset genetic conditions.

Methods

Three discrete choice experiment (DCE) surveys were designed and administered to separate representative samples of the Australian public. Bayesian D-efficient explicit partial profile designs were used. Choice data were analyzed using a panel error component random parameter logit model.

Results

Overall, 1913 participants completed the pediatric (n = 533), symptomatic adult (n = 700) and at-risk adult (n = 680) surveys. The willingness-to-pay for GS information in pediatric conditions was estimated at $5470–$15,250 (US$3830–$10,675) depending on the benefits of genomic information. Uptake ranged between 60% and 81%. For symptomatic adults, the value of GS was estimated at $1573–$8102 (US$1100–$5671) and uptake at 34–82%. For at-risk adults, GS was valued at $2036–$5004 (US$1425–$3503) and uptake was predicted at 35–61%.

Conclusion

There is substantial personal utility in GS, particularly for pediatric conditions. Personal utility increased as the perceived benefits of genomic information increased. The clinical and regulatory context, and individuals’ sociodemographic and attitudinal characteristics influenced the value and uptake of GS. Society values highly the diagnostic, clinical, and nonclinical benefits of GS. The personal utility of GS should be considered in health-care decision-making.