Do Quality-Adjusted Life Years Discriminate Against the Elderly? An Empirical Analysis of Published Cost-Effectiveness Analyses.

OBJECTIVES: Critics of quality-adjusted life-years argue that it discriminates against older individuals. However, little empirical evidence has been produced to inform this debate. This study aimed to compare published cost-effectiveness analyses (CEAs) on patients aged ≥65 years and those aged <65 years. METHODS: We used the Tufts Cost-Effectiveness Analysis Registry to identify CEAs published in MEDLINE between 1976 and 2021. Eligible CEAs were categorized according to age (≥65 years vs <65 years). The distributions of incremental cost-effectiveness ratios (ICERs) were compared between the age groups. We used logistic regression to assess the association between age groups and the cost-effectiveness conclusion adjusted for confounding factors. We conducted sensitivity analyses to explore the impact of mixed age and age-unknown groups and all ICERs from the same CEAs. Subgroup analyses were also conducted. RESULTS: A total of 4445 CEAs categorized according to age <65 years (n = 3784) and age ≥65 years (n = 661) were included in the primary analysis. The distributions of ICERs and the likelihood of concluding that the intervention was cost-effective were similar between the 2 age groups. Adjusted odds ratios ranged from 1.132 (95% CI 0.930-1.377) to 1.248 (95% CI 0.970-1.606) (odds ratio >1 indicating that CEAs for age ≥65 years were more likely to conclude the intervention was cost-effective than those for age <65 years). Sensitivity and subgroup analyses found similar results. CONCLUSION: Our analysis found no systematic differences in published ICERs using quality-adjusted life-years between CEAs for individuals aged ≥65 years and those for individuals aged <65 years.

A Roadmap for Improving Medicare's Application of Coverage With Evidence Development.

The Centers for Medicare and Medicaid Services' coverage with evidence development (CED) policy allows the agency to provide coverage for an item or service through a National Coverage Determination (NCD), conditional upon an agreement to collect evidence designed to address specific questions or uncertainties. The goals of this policy are to expedite beneficiary access to new items and services and to generate additional evidence on the impact of these items or services for Medicare beneficiaries. However, these goals have not been fully realized because of several issues with the way the policy has been implemented, including (1) a lack of clear criteria for when CED will be applied, (2) examples of CED data collection activities placing unnecessary burdens on clinicians and the potential for undue inducement on beneficiaries, and (3) a lack of clarity around the process and timeline for reconsidering and ending CED requirements. Additionally, there are cases in which the application of CED has failed to improve access to services for certain Medicare beneficiaries because no data collection activity was implemented in response to the CED requirement or because the NCD only allows the technology to be provided and studied in certain centers of excellence. We describe a roadmap for addressing these issues, which includes, for example, developing a framework to guide the application of coverage constraints in NCDs with CED requirements. Once these issues are addressed, the Centers for Medicare and Medicaid Services could consider expanding the use of CED to technologies that are not subject to NCDs.

Colony environment and absence of brood enhance tolerance to a neonicotinoid in winter honey bee workers, Apis mellifera.

In eusocial insects, worker longevity is essential to ensure colony survival in brood-free periods. Trade-offs between longevity and other traits may render long-living workers in brood-free periods more susceptible to pesticides compared to short-lived ones. Further, colony environment (e.g., adequate nutrition) may enable workers to better cope with pesticides, yet data comparing long vs. short-living workers and the role of the colony environment for pesticide tolerance are scarce. Here, we show that long-living honey bee workers, Apis mellifera, are less susceptible to the neonicotinoid thiamethoxam than short-lived workers, and that susceptibility was further reduced when workers were acclimatized under colony compared to laboratory conditions. Following an OECD protocol, freshly-emerged workers were exposed to thiamethoxam in summer and winter and either acclimatized within their colony or in the laboratory. Mortality and sucrose consumption were measured daily and revealed that winter workers were significantly less susceptible than summer workers, despite being exposed to higher thiamethoxam dosages due to increased food consumption. Disparencies in fat body activity, which is key for detoxification, may explain why winter bees were less susceptible. Furthermore, colony acclimatization significantly reduced susceptibility towards thiamethoxam in winter workers likely due to enhanced protein nutrition. Brood absence and colony environment seem to govern workers' ability to cope with pesticides, which should be considered in risk assessments. Since honey bee colony losses occur mostly over winter, long-term studies assessing the effects of pesticide exposure on winter bees are required to better understand the underlying mechanisms.

Novel Approach for the Isolation and Immobilization of a Recombinant Transaminase: Applying an Advanced Nanocomposite System.

The increasing application of recombinant enzymes demands not only effective and sustainable fermentation, but also highly efficient downstream processing and further stabilization of the enzymes by immobilization. In this study, a novel approach for the isolation and immobilization of His-tagged transaminase from Chromobacterium violaceum (CvTA) has been developed. A recombinant of CvTA was simultaneously isolated and immobilized by binding on silica nanoparticles (SNPs) with metal affinity linkers and additionally within poly(lactic acid) (PLA) nanofibers. The linker length and the nature of the metal ion significantly affected the enzyme binding efficiency and biocatalytic activity of CvTA-SNPs. The formation of PLA nanofibers by electrospinning enabled rapid embedding of CvTA-SNPs biocatalysts and ensured enhanced stability and activity. The developed advanced immobilization method reduces the time required for enzyme isolation, purification and immobilization by more than fourfold compared to a classical stepwise technique.

Improving Food and Drug Administration-Centers for Medicare and Medicaid Services Coordination for Drugs Granted Accelerated Approval.

Policy Points The increasing number of drugs granted accelerated approval by the Food and Drug Administration (FDA) has challenged the Medicare program, which often pays for expensive therapies despite substantial uncertainty about benefits and risks to Medicare beneficiaries. We recommend several administrative and legislative approaches for improving FDA-Centers for Medicare and Medicaid Services (CMS) coordination around accelerated-approval drugs, including promoting earlier discussions among the FDA, the CMS, and drug companies; strengthening Medicare's coverage with evidence development program; linking Medicare payment to evidence generation milestones; and ensuring that the CMS has adequate staffing and resources to evaluate new therapies. These activities can help improve the integrity; transparency; and efficiency of approval, coverage, and payment processes for drugs granted accelerated approval. CONTEXT: The Food and Drug Administration (FDA)'s accelerated-approval pathway expedites patient access to promising treatments. However, increasing use of this pathway has challenged the Medicare program, which often pays for expensive therapies despite substantial uncertainty about benefits and risks to Medicare beneficiaries. We examined approaches to improve coordination between the FDA and Centers for Medicare and Medicaid Services (CMS) for drugs granted accelerated approval. METHODS: We argue that policymakers have focused on expedited pathways at the FDA without sufficient attention to complementary policies at the CMS. Although differences between the FDA and CMS decisions are to be expected given the agencies' different missions and statutory obligations, procedural improvements can ensure that Medicare beneficiaries have timely access to novel therapies that are likely to improve health outcomes. To inform policy options and recommendations, we conducted semistructured interviews with stakeholders to capture diverse perspectives on the topic. FINDINGS: We recommend ten areas for consideration: clarifying the FDA's evidentiary standards; strengthening FDA authorities; promoting earlier discussions among the FDA, the CMS, and drug companies; improving Medicare's coverage with evidence development program; tying Medicare payment for accelerated-approval drugs to evidence generation milestones; issuing CMS guidance on real-world evidence; clarifying Medicare's "reasonable and necessary" criteria; adopting lessons from international regulatory-reimbursement harmonization efforts; ensuring that the CMS has adequate staffing and expertise; and emphasizing equity. CONCLUSIONS: Better coordination between the FDA and CMS could improve the transparency and predictability of drug approval and coverage around accelerated-approval drugs, with important implications for patient outcomes, health spending, and evidence generation processes. Improved coordination will require reforms at both the FDA and CMS, with special attention to honoring the agencies' distinct authorities. It will require administrative and legislative actions, new resources, and strong leadership at both agencies.

Developing Criteria for Health Economic Quality Evaluation Tool.

OBJECTIVES: Because existing publication guidelines and checklists have limitations when used to assess the quality of cost-effectiveness analysis, we developed a novel quality assessment tool for cost-effectiveness analyses, differentiating methods and reporting quality and incorporating the relative importance of different quality attributes. METHODS: We defined 15 quality domains from a scoping review and identified 72 methods and reporting quality attributes (36 each). After designing a best-worst scaling survey, we fielded an online survey to researchers and practitioners to estimate the relative importance of the attributes in February 2021. We analyzed the survey data using a sequential conditional logit model. The final tool included 48 quality attributes deemed most important for assessing methods and reporting quality (24 each), accompanied by a free and web-based scoring system. RESULTS: A total of 524 participants completed the methodology section, and 372 completed both methodology and reporting sections. Quality attributes pertaining to the "modeling" and "data inputs and evidence synthesis" domains were deemed most important for methods quality, including "structure of the model reflects the underlying condition and intervention's impact" and "model validation is conducted." Quality attributes pertaining to "modeling" and "Intervention/comparator(s)" domains were considered most important for reporting quality, including "model descriptions are detailed enough for replication." Despite its growing prominence, "equity considerations" were not deemed as important as other quality attributes. CONCLUSIONS: The Criteria for Health Economic Quality Evaluation tool allows users to differentiate methods and reporting as well as quantifies the relative importance of quality attributes. Alongside other considerations, it could help assess and improve the quality of cost-effectiveness evidence to inform value-based decisions.

A review of HTA guidelines on societal and novel value elements.

OBJECTIVES: Health technology assessment (HTA) organizations vary in terms of how they conduct assessments. We assess whether and to what extent HTA bodies have adopted societal and novel elements of value in their economic evaluations. METHODS: After categorizing "societal" and "novel" elements of value, we reviewed fifty-three HTA guidelines. We collected data on whether each guideline mentioned each societal or novel element of value, and if so, whether the guideline recommended the element's inclusion in the base case, sensitivity analysis, or qualitative discussion in the HTA. RESULTS: The HTA guidelines mention on average 5.9 of the twenty-one societal and novel value elements we identified (range 0-16), including 2.3 of the ten societal elements and 3.3 of the eleven novel value elements. Only four value elements (productivity, family spillover, equity, and transportation) appear in over half of the HTA guidelines, whereas thirteen value elements are mentioned in fewer than one-sixth of the guidelines, and two elements receive no mention. Most guidelines do not recommend value element inclusion in the base case, sensitivity analysis, or qualitative discussion in the HTA. CONCLUSIONS: Ideally, more HTA organizations will adopt guidelines for measuring societal and novel value elements, including analytic considerations. Importantly, simply recommending in guidelines that HTA bodies consider novel elements may not lead to their incorporation into assessments or ultimate decision making.

Toward comprehensive value assessment for Alzheimer's disease innovations.

INTRODUCTION: Assessing medical technologies for Alzheimer's disease (AD) creates challenges for current methods of value assessment. New value assessment approaches for AD are also needed. METHODS: We adapted concepts from health economics to help guide decision makers to more informed decisions about AD therapies and diagnostics. RESULTS: We propose a value framework based on five categories: perspective, value elements, analysis, reporting, and decision making. AD value assessments should include the perspective of the patient-caregiver dyad. We propose a broader array of value elements than currently used. Analytics and decision methods can synthesize evidence for all elements of value. Decisions should use a "deliberative appraisal" approach informed by the composite evidence and be transparently reported. DISCUSSION: Using the proposed framework, the value of forthcoming innovations for AD may be more thoroughly assessed for and by all stakeholders. It can guide decision makers to carefully consider all relevant elements of value contributing to more holistic and transparent decision making. RESEARCH HIGHLIGHTS: Alzheimer's disease challenges common methods of evaluating medical technology. Using current methods, new AD innovations might not be appropriately valued. Poor value assessments will adversely affect patient access to AD innovations. A full AD value framework expands perspective, elements, analysis, decision-making, reporting.

Alzheimer's disease medication use and adherence patterns by race and ethnicity.

BACKGROUND: We examined racial and ethnic differences in medication use for a representative US population of patients with Alzheimer's disease and related dementias (ADRD). METHODS: We examined cholinesterase inhibitors and memantine initiation, non-adherence, and discontinuation by race and ethnicity, using data from the 2000-2016 Health and Retirement Study linked with Medicare and Medicaid claims. RESULTS: Among newly diagnosed ADRD patients (n = 1299), 26% filled an ADRD prescription ≤90 days and 36% ≤365 days after diagnosis. Among individuals initiating ADRD-targeted treatment (n = 1343), 44% were non-adherent and 24% discontinued the medication during the year after treatment initiation. Non-Hispanic Blacks were more likely than Whites to not adhere to ADRD medication therapy (odds ratio: 1.50 [95% confidence interval: 1.07-2.09]). DISCUSSION: Initiation of ADRD-targeted medications did not vary by ethnoracial group, but non-Hispanic Blacks had lower adherence than Whites. ADRD medication non-adherence and discontinuation were substantial and may relate to cost and access to care. HIGHLIGHTS: Initiation of anti-dementia medications among newly diagnosed Alzheimer's disease and related dementias (ADRD) patients was low in all ethnoracial groups. ADRD medication non-adherence and discontinuation were substantial and may relate to cost and access to care. Compared to Whites, Blacks and Hispanics had lower use, poorer treatment adherence, and more frequent discontinuation of ADRD medication, but when controlling for disease severity and socioeconomic factors, racial disparities diminish. Our findings demonstrate the importance of adjusting for socioeconomic characteristics and disease severity when studying medication use and adherence in ADRD patients.

[Non-invasive Mechanical Ventilation in Acute Respiratory Failure. Clinical Practice Guidelines - on behalf of the German Society of Pneumology and Ventilatory Medicine]. / S2k-Leitlinie Nichtinvasive Beatmung als Therapie der akuten respiratorischen Insuffizienz.

The guideline update outlines the advantages as well as the limitations of NIV in the treatment of acute respiratory failure in daily clinical practice and in different indications.Non-invasive ventilation (NIV) has a high value in therapy of hypercapnic acute respiratory failure, as it significantly reduces the length of ICU stay and hospitalization as well as mortality.Patients with cardiopulmonary edema and acute respiratory failure should be treated with continuous positive airway pressure (CPAP) and oxygen in addition to necessary cardiological interventions. This should be done already prehospital and in the emergency department.In case of other forms of acute hypoxaemic respiratory failure with only mild or moderately disturbed gas exchange (PaO2/FiO2 > 150 mmHg) there is no significant advantage or disadvantage compared to high flow nasal oxygen (HFNO). In severe forms of ARDS NIV is associated with high rates of treatment failure and mortality, especially in cases with NIV-failure and delayed intubation.NIV should be used for preoxygenation before intubation. In patients at risk, NIV is recommended to reduce extubation failure. In the weaning process from invasive ventilation NIV essentially reduces the risk of reintubation in hypercapnic patients. NIV is regarded useful within palliative care for reduction of dyspnea and improving quality of life, but here in concurrence to HFNO, which is regarded as more comfortable. Meanwhile NIV is also recommended in prehospital setting, especially in hypercapnic respiratory failure and pulmonary edema.With appropriate monitoring in an intensive care unit NIV can also be successfully applied in pediatric patients with acute respiratory insufficiency.

Cost-effectiveness of exome and genome sequencing for children with rare and undiagnosed conditions.

PURPOSE: This study aimed to estimate the cost-effectiveness of exome sequencing (ES) and genome sequencing (GS) for children. METHODS: We modeled costs, diagnoses, and quality-adjusted life years (QALYs) for diagnostic strategies for critically ill infants (aged <1 year) and children (aged <18 years) with suspected genetic conditions: (1) standard of care (SOC) testing, (2) ES, (3) GS, (4) SOC followed by ES, (5) SOC followed by GS, (6) ES followed by GS, and (7) SOC followed by ES followed by GS. We calculated the 10-year incremental cost per additional diagnosis, and lifetime incremental cost per QALY gained, from a health care perspective. RESULTS: First-line GS costs $15,048 per diagnosis vs SOC for infants and $27,349 per diagnosis for children. If GS is unavailable, ES represents the next most efficient option compared with SOC ($15,543 per diagnosis for infants and $28,822 per diagnosis for children). Other strategies provided the same or fewer diagnoses at a higher incremental cost per diagnosis. Lifetime results depend on the patient's assumed long-term prognosis after diagnosis. For infants, GS ranged from cost-saving (vs all alternatives) to $18,877 per QALY (vs SOC). For children, GS (vs SOC) ranged from $119,705 to $490,047 per QALY. CONCLUSION: First-line GS may be the most cost-effective strategy for diagnosing infants with suspected genetic conditions. For all children, GS may be cost-effective under certain assumptions. ES is nearly as efficient as GS and hence is a viable option when GS is unavailable.

Effect of the 2012 US Preventive Services Task Force Recommendations on Prostate-Specific Antigen Screening in a Medicare Advantage Population.

BACKGROUND: In 2012, the US Preventive Service Task Force revised its recommendations for prostate-specific antigen (PSA) screening from "insufficient evidence" to "do not recommend" for men aged 70-74 while maintaining "do not recommend" for men aged 75+. METHODS: Using the difference-in-difference approach, we evaluated whether the rate of change in the use of low-value PSA screening differed between the control group (men aged 75+, N=7,856,204 person-years) and the intervention group (men aged 70-74, N=5,329,192 person-years) enrolling in the Medicare Advantage plan without a history of prostate cancer within the OptumLabs Data Warehouse claims data (2009-2019). A generalized estimating equation logistic model was specified with independent variables: an intervention group indicator, a pre- and post-period (after 2012 Q2) indicator, index time, and interaction terms. We assumed a 12-month dissemination period. RESULTS: Before the revised recommendation in 2012, the trends did not significantly differ between the 2 age groups with the odds of receiving PSA screening decreasing by 1.2% (95% confidence interval [1.0, 1.4%]) per quarter. However, the odds of receiving PSA screening increased by 3.0% [2.8, 3.2%] per quarter across both groups since the revision. There was no significant additional change in the trend for those aged 70-74 (0.1% [-0.2, 0.5%]). CONCLUSIONS: Although the 2012 US Preventive Service Task Force's recommendations were expected to only change behaviors among men aged 70-74, our analysis found that men aged 70-74 and aged 75+ exhibited similar trends from 2009 to 2019, including the increased use of low-value PSA screening since 2016. Multifaceted efforts to discourage low-value PSA screening would be important for a sustained impact.

Health technology assessment for gene therapies in haemophilia.

INTRODUCTION: Gene therapies are poised to become a new therapeutic option for persons with haemophilia (PwH), having begun to show durable efficacy and safety in clinical trials to date. However, value assessment of gene therapies faces challenges from small populations that preclude randomized clinical trials (RCT), ethical considerations when treating a serious genetic disorder with lifelong consequences, and appropriate endpoint selection that captures the full scope of the disorder and its lifelong complications. SUMMARY: Health technology assessment (HTA) for new haemophilia therapies may require greater flexibility in evidence requirements and recognition of factors that vary across patient populations and health systems, including current standard-of-care, gains in survival and health-related quality-of-life (HRQoL), and reduced replacement factor utilization. It will be important for HTAs to consider limitations of RCTs for gene therapy and to consider intra-patient data as evidence of clinical effectiveness. Despite long-term clinical trials with up to 8 years of follow-up, ongoing uncertainties about durability of effect may be informed by extrapolating clinical data out ∼10 years, using different projections of durability. Beyond objective endpoints, such as Petersson scores or annualized bleed rates, health utilities that accompany gene therapy (e.g., mental health, freedom of choice, peace of mind) should be considered in HTA evaluations, particularly for comparisons with low dose or no prophylaxis. CONCLUSION: HTAs of gene therapies in haemophilia are encouraged to rise to the challenge of filling evidence gaps and conducting assessments. KEY POINTS OF CONSIDERATION: It is important for HTA bodies to consider the limitations to conduct randomized controlled trials for gene therapy and to consider intrapatient data as evidence of comparative effectiveness. Given the uncertainties around the long-term gene therapy use, clinical trial data should be extrapolated ∼10 years, using scenarios that consider different durations of effect. The major value drivers in a model, in addition to drug pricing itself, will be based on assumptions about duration of effect and savings/cost offsets from reduced use of replacement therapy. Assessment methodologies and modelling configurations need to evolve to fully capture the value of gene therapy, including patient meaningful outcomes, in a validated and quantitative fashion. Regardless of payment system archetype, the intersection between NGOs, the clinical community's voice, HTA willingness to collaborate, and alignment with regulatory acceptance of benefit is critical. [Correction added on 21 February 2022, after first online publication: the 'Key Points of Consideration' have been added in this version.].

Preparing for tomorrow: Defining a future agenda.

Gene therapy will be the first long-term therapy with potential to produce a functional cure for haemophilia. As a single dose ('once-and-done') therapy with significant uncertainties regarding impact and duration of factor expression, flexibility and adaptability of (1) value framework, (2) health technology assessment (HTA) methodology, and (3) development of alternative payment models will be needed for adoption of this new technology and to facilitate transparent decision-making to support its implementation. The responsibility for each of these currently lies with distinct entities, underscoring a need for enhanced collaboration between all stakeholders, as expanded engagement by key stakeholders will be critical to optimizing the assessment of value, enabling an optimised approach to HTA, and opening receptivity to new and innovative payment models. This supplement issue describes important considerations for a gene therapy 'toolkit', highlighting key considerations for each of the aforementioned tools, which will be useful for guiding decision-making regarding gene therapy as a novel treatment modality. In this article, we outline how the tools presented in this supplement can be applied as part of a framework to address the requirements of the relevant stakeholders, including payers, manufacturers, treaters, and patients. The paper also provides an illustrative example of how to understand the features of alternative payment models depending on the organization of and payment for healthcare.

The History and Future of the "ISPOR Value Flower": Addressing Limitations of Conventional Cost-Effectiveness Analysis.

OBJECTIVES: Since its publication as part of the 2018 ISPOR Special Task Force (STF) on US Value Assessments, the "ISPOR value flower," with its petals highlighting elements that may be overlooked or underappreciated in conventional drug value assessments, has been discussed and debated. We review the history of the value flower, describe recent developments, and consider implications for future value assessments. METHODS: We discuss various antecedents to the value flower, as well as conceptual and empirical articles published in the past 4 years. RESULTS: Since the publication of the ISPOR STF report, researchers have provided more rigorous theoretical and mathematical foundations for certain novel value elements (eg, severity of illness, value of insurance, value of hope) through "generalized risk-adjusted cost-effectiveness analysis," which incorporates risk aversion in people's preferences and uncertainty in treatment outcomes. Empirical estimates are also emerging to support key elements, such as insurance value, real option value, value of hope, and value of knowing. Although health technology assessment bodies have applied or are considering certain elements (eg, severity modifiers to cost-effectiveness thresholds), other elements have yet to gain traction. CONCLUSIONS: Five years after the STF began its work, the development of novel value measures continues to evolve. Although it is encouraging to see supporting empirical studies emerging, more are needed. Additional efforts are also needed to illustrate how the estimates can be used in the deliberative processes that are integral to health technology assessments.

A Systematic Review of Economic Evaluations of COVID-19 Interventions: Considerations of Non-Health Impacts and Distributional Issues.

OBJECTIVES: This study aims to conduct a systematic review of economic evaluations of COVID-19 interventions and to examine whether and how these studies incorporate non-health impacts and distributional concerns. METHODS: We searched the National Institutes of Health's COVID-19 Portfolio as of May 20, 2021, and supplemented our search with additional sources. We included original articles, including preprints, evaluating both the health and economic effects of a COVID-19-related intervention. Using a pre-specified data collection form, 2 reviewers independently screened, reviewed, and extracted information about the study characteristics, intervention types, and incremental cost-effectiveness ratios (ICERs). We used an Impact Inventory to catalog the types of non-health impacts considered. RESULTS: We included 70 articles, almost half of which were preprints. Most articles (56%) included at least one non-health impact, but fewer (21%) incorporated non-economic consequences. Few articles (17%) examined subgroups of interest. After excluding negative ICERs, the median ICER for the entire sample (n = 243 ratios) was $67,000/quality-adjusted life-year (QALY) (interquartile range [IQR] $9000-$893,000/QALY). Interventions including a pharmaceutical component yielded a median ICER of $93,000/QALY (IQR $4000-$7,809,000/QALY), whereas interventions including a non-pharmaceutical component were slightly more cost-effective overall with a median ICER of $81,000/QALY (IQR $12,000-$1,034,000/QALY). Interventions reported to be highly cost-effective were treatment, public information campaigns, quarantining identified contacts/cases, canceling public events, and social distancing. CONCLUSIONS: Our review highlights the lack of consideration of non-health and distributional impacts among COVID-19-related economic evaluations. Accounting for non-health impacts and distributional effects is essential for comprehensive assessment of interventions' value and imperative for generating cost-effectiveness evidence for both current and future pandemics.

Do Cost-Effectiveness Analyses Account for Drug Genericization? A Literature Review and Assessment of Implications.

OBJECTIVES: We investigated how health technology assessment (HTA) organizations around the world have handled drug genericization (an allowance for future generic drug entry and subsequent drug price declines) in their guidelines for cost-effectiveness analyses (CEAs). We also analyzed a large sample of published CEAs to examine prevailing practices in the field. METHODS: We reviewed 43 HTA guidelines to determine whether and how they addressed drug genericization in their CEAs. We also selected a sample of 270 US-based CEAs from the Tufts Medical Center's CEA Registry, restricting the sample to studies on pharmaceuticals published from 1991 to 2019 and to analyses taking a lifetime time horizon. We determined whether each CEA examined genericization (and if so, whether in base case or sensitivity analyses), and how inclusion of genericization influenced the estimated incremental cost-effectiveness ratios. RESULTS: Fourteen (33%) of the 43 HTA guidelines mention genericization for CEAs and 4 (9%) recommend that base case analyses include assumptions about future drug price changes due to genericization. Most published CEAs (95%) do not include assumptions about future generic prices for intervention drugs. Only 2% include such assumptions about comparator drugs. Most studies (72%) conduct sensitivity analyses on drug prices unrelated to genericization. CONCLUSIONS: The omission of assumptions about genericization means that CEAs may misrepresent the long run opportunity costs for drugs. The field needs clearer guidance for when CEAs should account for genericization, and for the inclusion of other price dynamics that might influence a drug's cost-effectiveness.

The Impact of Broader Value Elements on Cost-Effectiveness Analysis: Two Case Studies.

OBJECTIVES: This study aimed to explore the impact of including broader value elements in cost-effectiveness analyses by presenting 2 case studies, one on human papillomavirus (HPV) infection and one on early-stage Hodgkin's lymphoma (ESHL). METHODS: We identified broader value elements (eg, patient and caregiver time, spillover health effects, productivity) from the Second Panel's Impact Inventory and the ISPOR Special Task Force's value flower. We then evaluated the cost-effectiveness of HPV vaccination versus no vaccination (case 1) and combined modality therapy (CMT) versus chemotherapy alone for treatment of adult ESHL (case 2) using published simulation models. For each case study, we compared incremental cost-effectiveness ratios considering health sector impacts only (the "base-case" scenario) with incremental cost-effectiveness ratios incorporating broader value elements. RESULTS: For vaccination of US girls against HPV before sexual debut versus no vaccination, the base-case result was $38 334 per disability-adjusted life-year averted. Including each broader value element made cost-effectiveness progressively more favorable, with HPV vaccination becoming cost-saving (ie, reducing costs and averting more disability-adjusted life-years) when the analysis incorporated productivity costs. For CMT versus chemotherapy alone in patients with ESHL, the base-case result indicated that CMT was cost-saving. Including all elements made this treatment's net monetary benefits (the sum of its averted resource costs and the net value of its health impacts) less favorable, even as the contribution from CMT's near-term health benefits grew. CONCLUSIONS: Including broader value elements can substantially influence cost-effectiveness ratios, although the direction and the magnitude of their impact can differ across interventions and disease context.

Calcium-permeable AMPA receptors and silent synapses in cocaine-conditioned place preference.

Exposure to cocaine generates silent synapses in the nucleus accumbens (NAc), whose eventual unsilencing/maturation by recruitment of calcium-permeable AMPA-type glutamate receptors (CP-AMPARs) after drug withdrawal results in profound remodeling of NAc neuro-circuits. Silent synapse-based NAc remodeling was shown to be critical for several drug-induced behaviors, but its role in acquisition and retention of the association between drug rewarding effects and drug-associated contexts has remained unclear. Here, we find that the postsynaptic proteins PSD-93, PSD-95, and SAP102 differentially regulate excitatory synapse properties in the NAc. Mice deficient for either of these scaffold proteins exhibit distinct maturation patterns of silent synapses and thus provided instructive animal models to examine the role of NAc silent synapse maturation in cocaine-conditioned place preference (CPP). Wild-type and knockout mice alike all acquired cocaine-CPP and exhibited increased levels of silent synapses after drug-context conditioning. However, the mice differed in CPP retention and CP-AMPAR incorporation. Collectively, our results indicate that CP-AMPAR-mediated maturation of silent synapses in the NAc is a signature of drug-context association, but this maturation is not required for establishing or retaining cocaine-CPP.